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Research Article

Anxiety, Affect, Self-Esteem, and Stress: Mediation and Moderation Effects on Depression

Affiliations Department of Psychology, University of Gothenburg, Gothenburg, Sweden, Network for Empowerment and Well-Being, University of Gothenburg, Gothenburg, Sweden

Affiliation Network for Empowerment and Well-Being, University of Gothenburg, Gothenburg, Sweden

Affiliations Department of Psychology, University of Gothenburg, Gothenburg, Sweden, Network for Empowerment and Well-Being, University of Gothenburg, Gothenburg, Sweden, Department of Psychology, Education and Sport Science, Linneaus University, Kalmar, Sweden

* E-mail: [email protected]

Affiliations Network for Empowerment and Well-Being, University of Gothenburg, Gothenburg, Sweden, Center for Ethics, Law, and Mental Health (CELAM), University of Gothenburg, Gothenburg, Sweden, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden

• Ali Al Nima, 
• Patricia Rosenberg, 
• Trevor Archer, 
• Danilo Garcia

• Published: September 9, 2013
• https://doi.org/10.1371/journal.pone.0073265
• Reader Comments

23 Sep 2013: Nima AA, Rosenberg P, Archer T, Garcia D (2013) Correction: Anxiety, Affect, Self-Esteem, and Stress: Mediation and Moderation Effects on Depression. PLOS ONE 8(9): 10.1371/annotation/49e2c5c8-e8a8-4011-80fc-02c6724b2acc. https://doi.org/10.1371/annotation/49e2c5c8-e8a8-4011-80fc-02c6724b2acc View correction

Mediation analysis investigates whether a variable (i.e., mediator) changes in regard to an independent variable, in turn, affecting a dependent variable. Moderation analysis, on the other hand, investigates whether the statistical interaction between independent variables predict a dependent variable. Although this difference between these two types of analysis is explicit in current literature, there is still confusion with regard to the mediating and moderating effects of different variables on depression. The purpose of this study was to assess the mediating and moderating effects of anxiety, stress, positive affect, and negative affect on depression.

Two hundred and two university students (males  = 93, females  = 113) completed questionnaires assessing anxiety, stress, self-esteem, positive and negative affect, and depression. Mediation and moderation analyses were conducted using techniques based on standard multiple regression and hierarchical regression analyses.

Main Findings

The results indicated that (i) anxiety partially mediated the effects of both stress and self-esteem upon depression, (ii) that stress partially mediated the effects of anxiety and positive affect upon depression, (iii) that stress completely mediated the effects of self-esteem on depression, and (iv) that there was a significant interaction between stress and negative affect, and between positive affect and negative affect upon depression.

The study highlights different research questions that can be investigated depending on whether researchers decide to use the same variables as mediators and/or moderators.

Citation: Nima AA, Rosenberg P, Archer T, Garcia D (2013) Anxiety, Affect, Self-Esteem, and Stress: Mediation and Moderation Effects on Depression. PLoS ONE 8(9): e73265. https://doi.org/10.1371/journal.pone.0073265

Editor: Ben J. Harrison, The University of Melbourne, Australia

Received: February 21, 2013; Accepted: July 22, 2013; Published: September 9, 2013

Copyright: © 2013 Nima et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Funding: The authors have no support or funding to report.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Mediation refers to the covariance relationships among three variables: an independent variable (1), an assumed mediating variable (2), and a dependent variable (3). Mediation analysis investigates whether the mediating variable accounts for a significant amount of the shared variance between the independent and the dependent variables–the mediator changes in regard to the independent variable, in turn, affecting the dependent one [1] , [2] . On the other hand, moderation refers to the examination of the statistical interaction between independent variables in predicting a dependent variable [1] , [3] . In contrast to the mediator, the moderator is not expected to be correlated with both the independent and the dependent variable–Baron and Kenny [1] actually recommend that it is best if the moderator is not correlated with the independent variable and if the moderator is relatively stable, like a demographic variable (e.g., gender, socio-economic status) or a personality trait (e.g., affectivity).

Although both types of analysis lead to different conclusions [3] and the distinction between statistical procedures is part of the current literature [2] , there is still confusion about the use of moderation and mediation analyses using data pertaining to the prediction of depression. There are, for example, contradictions among studies that investigate mediating and moderating effects of anxiety, stress, self-esteem, and affect on depression. Depression, anxiety and stress are suggested to influence individuals' social relations and activities, work, and studies, as well as compromising decision-making and coping strategies [4] , [5] , [6] . Successfully coping with anxiety, depressiveness, and stressful situations may contribute to high levels of self-esteem and self-confidence, in addition increasing well-being, and psychological and physical health [6] . Thus, it is important to disentangle how these variables are related to each other. However, while some researchers perform mediation analysis with some of the variables mentioned here, other researchers conduct moderation analysis with the same variables. Seldom are both moderation and mediation performed on the same dataset. Before disentangling mediation and moderation effects on depression in the current literature, we briefly present the methodology behind the analysis performed in this study.

Mediation and moderation

Baron and Kenny [1] postulated several criteria for the analysis of a mediating effect: a significant correlation between the independent and the dependent variable, the independent variable must be significantly associated with the mediator, the mediator predicts the dependent variable even when the independent variable is controlled for, and the correlation between the independent and the dependent variable must be eliminated or reduced when the mediator is controlled for. All the criteria is then tested using the Sobel test which shows whether indirect effects are significant or not [1] , [7] . A complete mediating effect occurs when the correlation between the independent and the dependent variable are eliminated when the mediator is controlled for [8] . Analyses of mediation can, for example, help researchers to move beyond answering if high levels of stress lead to high levels of depression. With mediation analysis researchers might instead answer how stress is related to depression.

In contrast to mediation, moderation investigates the unique conditions under which two variables are related [3] . The third variable here, the moderator, is not an intermediate variable in the causal sequence from the independent to the dependent variable. For the analysis of moderation effects, the relation between the independent and dependent variable must be different at different levels of the moderator [3] . Moderators are included in the statistical analysis as an interaction term [1] . When analyzing moderating effects the variables should first be centered (i.e., calculating the mean to become 0 and the standard deviation to become 1) in order to avoid problems with multi-colinearity [8] . Moderating effects can be calculated using multiple hierarchical linear regressions whereby main effects are presented in the first step and interactions in the second step [1] . Analysis of moderation, for example, helps researchers to answer when or under which conditions stress is related to depression.

Mediation and moderation effects on depression

Cognitive vulnerability models suggest that maladaptive self-schema mirroring helplessness and low self-esteem explain the development and maintenance of depression (for a review see [9] ). These cognitive vulnerability factors become activated by negative life events or negative moods [10] and are suggested to interact with environmental stressors to increase risk for depression and other emotional disorders [11] , [10] . In this line of thinking, the experience of stress, low self-esteem, and negative emotions can cause depression, but also be used to explain how (i.e., mediation) and under which conditions (i.e., moderation) specific variables influence depression.

Using mediational analyses to investigate how cognitive therapy intervations reduced depression, researchers have showed that the intervention reduced anxiety, which in turn was responsible for 91% of the reduction in depression [12] . In the same study, reductions in depression, by the intervention, accounted only for 6% of the reduction in anxiety. Thus, anxiety seems to affect depression more than depression affects anxiety and, together with stress, is both a cause of and a powerful mediator influencing depression (See also [13] ). Indeed, there are positive relationships between depression, anxiety and stress in different cultures [14] . Moreover, while some studies show that stress (independent variable) increases anxiety (mediator), which in turn increased depression (dependent variable) [14] , other studies show that stress (moderator) interacts with maladaptive self-schemata (dependent variable) to increase depression (independent variable) [15] , [16] .

The present study

In order to illustrate how mediation and moderation can be used to address different research questions we first focus our attention to anxiety and stress as mediators of different variables that earlier have been shown to be related to depression. Secondly, we use all variables to find which of these variables moderate the effects on depression.

The specific aims of the present study were:

• To investigate if anxiety mediated the effect of stress, self-esteem, and affect on depression.
• To investigate if stress mediated the effects of anxiety, self-esteem, and affect on depression.
• To examine moderation effects between anxiety, stress, self-esteem, and affect on depression.

Ethics statement

This research protocol was approved by the Ethics Committee of the University of Gothenburg and written informed consent was obtained from all the study participants.

Participants

The present study was based upon a sample of 206 participants (males  = 93, females  = 113). All the participants were first year students in different disciplines at two universities in South Sweden. The mean age for the male students was 25.93 years ( SD  = 6.66), and 25.30 years ( SD  = 5.83) for the female students.

In total, 206 questionnaires were distributed to the students. Together 202 questionnaires were responded to leaving a total dropout of 1.94%. This dropout concerned three sections that the participants chose not to respond to at all, and one section that was completed incorrectly. None of these four questionnaires was included in the analyses.

Instruments

Hospital anxiety and depression scale [17] ..

The Swedish translation of this instrument [18] was used to measure anxiety and depression. The instrument consists of 14 statements (7 of which measure depression and 7 measure anxiety) to which participants are asked to respond grade of agreement on a Likert scale (0 to 3). The utility, reliability and validity of the instrument has been shown in multiple studies (e.g., [19] ).

Perceived Stress Scale [20] .

The Swedish version [21] of this instrument was used to measures individuals' experience of stress. The instrument consist of 14 statements to which participants rate on a Likert scale (0 =  never , 4 =  very often ). High values indicate that the individual expresses a high degree of stress.

Rosenberg's Self-Esteem Scale [22] .

The Rosenberg's Self-Esteem Scale (Swedish version by Lindwall [23] ) consists of 10 statements focusing on general feelings toward the self. Participants are asked to report grade of agreement in a four-point Likert scale (1 =  agree not at all, 4 =  agree completely ). This is the most widely used instrument for estimation of self-esteem with high levels of reliability and validity (e.g., [24] , [25] ).

Positive Affect and Negative Affect Schedule [26] .

This is a widely applied instrument for measuring individuals' self-reported mood and feelings. The Swedish version has been used among participants of different ages and occupations (e.g., [27] , [28] , [29] ). The instrument consists of 20 adjectives, 10 positive affect (e.g., proud, strong) and 10 negative affect (e.g., afraid, irritable). The adjectives are rated on a five-point Likert scale (1 =  not at all , 5 =  very much ). The instrument is a reliable, valid, and effective self-report instrument for estimating these two important and independent aspects of mood [26] .

Questionnaires were distributed to the participants on several different locations within the university, including the library and lecture halls. Participants were asked to complete the questionnaire after being informed about the purpose and duration (10–15 minutes) of the study. Participants were also ensured complete anonymity and informed that they could end their participation whenever they liked.

Correlational analysis

Depression showed positive, significant relationships with anxiety, stress and negative affect. Table 1 presents the correlation coefficients, mean values and standard deviations ( sd ), as well as Cronbach ' s α for all the variables in the study.

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https://doi.org/10.1371/journal.pone.0073265.t001

Mediation analysis

Regression analyses were performed in order to investigate if anxiety mediated the effect of stress, self-esteem, and affect on depression (aim 1). The first regression showed that stress ( B  = .03, 95% CI [.02,.05], β = .36, t  = 4.32, p <.001), self-esteem ( B  = −.03, 95% CI [−.05, −.01], β = −.24, t  = −3.20, p <.001), and positive affect ( B  = −.02, 95% CI [−.05, −.01], β = −.19, t  = −2.93, p  = .004) had each an unique effect on depression. Surprisingly, negative affect did not predict depression ( p  = 0.77) and was therefore removed from the mediation model, thus not included in further analysis.

The second regression tested whether stress, self-esteem and positive affect uniquely predicted the mediator (i.e., anxiety). Stress was found to be positively associated ( B  = .21, 95% CI [.15,.27], β = .47, t  = 7.35, p <.001), whereas self-esteem was negatively associated ( B  = −.29, 95% CI [−.38, −.21], β = −.42, t  = −6.48, p <.001) to anxiety. Positive affect, however, was not associated to anxiety ( p  = .50) and was therefore removed from further analysis.

A hierarchical regression analysis using depression as the outcome variable was performed using stress and self-esteem as predictors in the first step, and anxiety as predictor in the second step. This analysis allows the examination of whether stress and self-esteem predict depression and if this relation is weaken in the presence of anxiety as the mediator. The result indicated that, in the first step, both stress ( B  = .04, 95% CI [.03,.05], β = .45, t  = 6.43, p <.001) and self-esteem ( B  = .04, 95% CI [.03,.05], β = .45, t  = 6.43, p <.001) predicted depression. When anxiety (i.e., the mediator) was controlled for predictability was reduced somewhat but was still significant for stress ( B  = .03, 95% CI [.02,.04], β = .33, t  = 4.29, p <.001) and for self-esteem ( B  = −.03, 95% CI [−.05, −.01], β = −.20, t  = −2.62, p  = .009). Anxiety, as a mediator, predicted depression even when both stress and self-esteem were controlled for ( B  = .05, 95% CI [.02,.08], β = .26, t  = 3.17, p  = .002). Anxiety improved the prediction of depression over-and-above the independent variables (i.e., stress and self-esteem) (Δ R 2  = .03, F (1, 198) = 10.06, p  = .002). See Table 2 for the details.

https://doi.org/10.1371/journal.pone.0073265.t002

A Sobel test was conducted to test the mediating criteria and to assess whether indirect effects were significant or not. The result showed that the complete pathway from stress (independent variable) to anxiety (mediator) to depression (dependent variable) was significant ( z  = 2.89, p  = .003). The complete pathway from self-esteem (independent variable) to anxiety (mediator) to depression (dependent variable) was also significant ( z  = 2.82, p  = .004). Thus, indicating that anxiety partially mediates the effects of both stress and self-esteem on depression. This result may indicate also that both stress and self-esteem contribute directly to explain the variation in depression and indirectly via experienced level of anxiety (see Figure 1 ).

Changes in Beta weights when the mediator is present are highlighted in red.

https://doi.org/10.1371/journal.pone.0073265.g001

For the second aim, regression analyses were performed in order to test if stress mediated the effect of anxiety, self-esteem, and affect on depression. The first regression showed that anxiety ( B  = .07, 95% CI [.04,.10], β = .37, t  = 4.57, p <.001), self-esteem ( B  = −.02, 95% CI [−.05, −.01], β = −.18, t  = −2.23, p  = .03), and positive affect ( B  = −.03, 95% CI [−.04, −.02], β = −.27, t  = −4.35, p <.001) predicted depression independently of each other. Negative affect did not predict depression ( p  = 0.74) and was therefore removed from further analysis.

The second regression investigated if anxiety, self-esteem and positive affect uniquely predicted the mediator (i.e., stress). Stress was positively associated to anxiety ( B  = 1.01, 95% CI [.75, 1.30], β = .46, t  = 7.35, p <.001), negatively associated to self-esteem ( B  = −.30, 95% CI [−.50, −.01], β = −.19, t  = −2.90, p  = .004), and a negatively associated to positive affect ( B  = −.33, 95% CI [−.46, −.20], β = −.27, t  = −5.02, p <.001).

A hierarchical regression analysis using depression as the outcome and anxiety, self-esteem, and positive affect as the predictors in the first step, and stress as the predictor in the second step, allowed the examination of whether anxiety, self-esteem and positive affect predicted depression and if this association would weaken when stress (i.e., the mediator) was present. In the first step of the regression anxiety ( B  = .07, 95% CI [.05,.10], β = .38, t  = 5.31, p  = .02), self-esteem ( B  = −.03, 95% CI [−.05, −.01], β = −.18, t  = −2.41, p  = .02), and positive affect ( B  = −.03, 95% CI [−.04, −.02], β = −.27, t  = −4.36, p <.001) significantly explained depression. When stress (i.e., the mediator) was controlled for, predictability was reduced somewhat but was still significant for anxiety ( B  = .05, 95% CI [.02,.08], β = .05, t  = 4.29, p <.001) and for positive affect ( B  = −.02, 95% CI [−.04, −.01], β = −.20, t  = −3.16, p  = .002), whereas self-esteem did not reach significance ( p < = .08). In the second step, the mediator (i.e., stress) predicted depression even when anxiety, self-esteem, and positive affect were controlled for ( B  = .02, 95% CI [.08,.04], β = .25, t  = 3.07, p  = .002). Stress improved the prediction of depression over-and-above the independent variables (i.e., anxiety, self-esteem and positive affect) (Δ R 2  = .02, F (1, 197)  = 9.40, p  = .002). See Table 3 for the details.

https://doi.org/10.1371/journal.pone.0073265.t003

Furthermore, the Sobel test indicated that the complete pathways from the independent variables (anxiety: z  = 2.81, p  = .004; self-esteem: z  =  2.05, p  = .04; positive affect: z  = 2.58, p <.01) to the mediator (i.e., stress), to the outcome (i.e., depression) were significant. These specific results might be explained on the basis that stress partially mediated the effects of both anxiety and positive affect on depression while stress completely mediated the effects of self-esteem on depression. In other words, anxiety and positive affect contributed directly to explain the variation in depression and indirectly via the experienced level of stress. Self-esteem contributed only indirectly via the experienced level of stress to explain the variation in depression. In other words, stress effects on depression originate from “its own power” and explained more of the variation in depression than self-esteem (see Figure 2 ).

https://doi.org/10.1371/journal.pone.0073265.g002

Moderation analysis

Multiple linear regression analyses were used in order to examine moderation effects between anxiety, stress, self-esteem and affect on depression. The analysis indicated that about 52% of the variation in the dependent variable (i.e., depression) could be explained by the main effects and the interaction effects ( R 2  = .55, adjusted R 2  = .51, F (55, 186)  = 14.87, p <.001). When the variables (dependent and independent) were standardized, both the standardized regression coefficients beta (β) and the unstandardized regression coefficients beta (B) became the same value with regard to the main effects. Three of the main effects were significant and contributed uniquely to high levels of depression: anxiety ( B  = .26, t  = 3.12, p  = .002), stress ( B  = .25, t  = 2.86, p  = .005), and self-esteem ( B  = −.17, t  = −2.17, p  = .03). The main effect of positive affect was also significant and contributed to low levels of depression ( B  = −.16, t  = −2.027, p  = .02) (see Figure 3 ). Furthermore, the results indicated that two moderator effects were significant. These were the interaction between stress and negative affect ( B  = −.28, β = −.39, t  = −2.36, p  = .02) (see Figure 4 ) and the interaction between positive affect and negative affect ( B  = −.21, β = −.29, t  = −2.30, p  = .02) ( Figure 5 ).

https://doi.org/10.1371/journal.pone.0073265.g003

Low stress and low negative affect leads to lower levels of depression compared to high stress and high negative affect.

https://doi.org/10.1371/journal.pone.0073265.g004

High positive affect and low negative affect lead to lower levels of depression compared to low positive affect and high negative affect.

https://doi.org/10.1371/journal.pone.0073265.g005

The results in the present study show that (i) anxiety partially mediated the effects of both stress and self-esteem on depression, (ii) that stress partially mediated the effects of anxiety and positive affect on depression, (iii) that stress completely mediated the effects of self-esteem on depression, and (iv) that there was a significant interaction between stress and negative affect, and positive affect and negative affect on depression.

Mediating effects

The study suggests that anxiety contributes directly to explaining the variance in depression while stress and self-esteem might contribute directly to explaining the variance in depression and indirectly by increasing feelings of anxiety. Indeed, individuals who experience stress over a long period of time are susceptible to increased anxiety and depression [30] , [31] and previous research shows that high self-esteem seems to buffer against anxiety and depression [32] , [33] . The study also showed that stress partially mediated the effects of both anxiety and positive affect on depression and that stress completely mediated the effects of self-esteem on depression. Anxiety and positive affect contributed directly to explain the variation in depression and indirectly to the experienced level of stress. Self-esteem contributed only indirectly via the experienced level of stress to explain the variation in depression, i.e. stress affects depression on the basis of ‘its own power’ and explains much more of the variation in depressive experiences than self-esteem. In general, individuals who experience low anxiety and frequently experience positive affect seem to experience low stress, which might reduce their levels of depression. Academic stress, for instance, may increase the risk for experiencing depression among students [34] . Although self-esteem did not emerged as an important variable here, under circumstances in which difficulties in life become chronic, some researchers suggest that low self-esteem facilitates the experience of stress [35] .

Moderator effects/interaction effects

The present study showed that the interaction between stress and negative affect and between positive and negative affect influenced self-reported depression symptoms. Moderation effects between stress and negative affect imply that the students experiencing low levels of stress and low negative affect reported lower levels of depression than those who experience high levels of stress and high negative affect. This result confirms earlier findings that underline the strong positive association between negative affect and both stress and depression [36] , [37] . Nevertheless, negative affect by itself did not predicted depression. In this regard, it is important to point out that the absence of positive emotions is a better predictor of morbidity than the presence of negative emotions [38] , [39] . A modification to this statement, as illustrated by the results discussed next, could be that the presence of negative emotions in conjunction with the absence of positive emotions increases morbidity.

The moderating effects between positive and negative affect on the experience of depression imply that the students experiencing high levels of positive affect and low levels of negative affect reported lower levels of depression than those who experience low levels of positive affect and high levels of negative affect. This result fits previous observations indicating that different combinations of these affect dimensions are related to different measures of physical and mental health and well-being, such as, blood pressure, depression, quality of sleep, anxiety, life satisfaction, psychological well-being, and self-regulation [40] – [51] .

Limitations

The result indicated a relatively low mean value for depression ( M  = 3.69), perhaps because the studied population was university students. These might limit the generalization power of the results and might also explain why negative affect, commonly associated to depression, was not related to depression in the present study. Moreover, there is a potential influence of single source/single method variance on the findings, especially given the high correlation between all the variables under examination.

Conclusions

The present study highlights different results that could be arrived depending on whether researchers decide to use variables as mediators or moderators. For example, when using meditational analyses, anxiety and stress seem to be important factors that explain how the different variables used here influence depression–increases in anxiety and stress by any other factor seem to lead to increases in depression. In contrast, when moderation analyses were used, the interaction of stress and affect predicted depression and the interaction of both affectivity dimensions (i.e., positive and negative affect) also predicted depression–stress might increase depression under the condition that the individual is high in negative affectivity, in turn, negative affectivity might increase depression under the condition that the individual experiences low positive affectivity.

Acknowledgments

The authors would like to thank the reviewers for their openness and suggestions, which significantly improved the article.

Author Contributions

Conceived and designed the experiments: AAN TA. Performed the experiments: AAN. Analyzed the data: AAN DG. Contributed reagents/materials/analysis tools: AAN TA DG. Wrote the paper: AAN PR TA DG.

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Research Topics & Ideas: Mental Health

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• Exercise as an adjunct treatment for mood disorders
• Hormonal changes and mood swings in postpartum women
• Stigma around mood disorders in the workplace
• Suicidal tendencies among patients with severe mood disorders

Anxiety Disorders

Research topics in this category can potentially explore the triggers, coping mechanisms, or treatment efficacy for anxiety disorders.

• The relationship between social media and anxiety
• Exposure therapy effectiveness in treating phobias
• Generalised Anxiety Disorder in children: Early signs and interventions
• The role of mindfulness in treating anxiety
• Genetics and heritability of anxiety disorders
• The link between anxiety disorders and heart disease
• Anxiety prevalence in LGBTQ+ communities
• Caffeine consumption and its impact on anxiety levels
• The economic cost of untreated anxiety disorders
• Virtual Reality as a treatment method for anxiety disorders

Psychotic Disorders

Within this space, your research topic could potentially aim to investigate the underlying factors and treatment possibilities for psychotic disorders.

• Early signs and interventions in adolescent psychosis
• Brain imaging techniques for diagnosing psychotic disorders
• The efficacy of antipsychotic medication
• The role of family history in psychotic disorders
• Misdiagnosis and delayed treatment of psychotic disorders
• Co-morbidity of psychotic and mood disorders
• The relationship between substance abuse and psychotic disorders
• Art therapy as a treatment for schizophrenia
• Public perception and stigma around psychotic disorders
• Hospital vs. community-based care for psychotic disorders

Personality Disorders

Research topics within in this area could delve into the identification, management, and social implications of personality disorders.

• Long-term outcomes of borderline personality disorder
• Antisocial personality disorder and criminal behaviour
• The role of early life experiences in developing personality disorders
• Narcissistic personality disorder in corporate leaders
• Gender differences in personality disorders
• Diagnosis challenges for Cluster A personality disorders
• Emotional intelligence and its role in treating personality disorders
• Psychotherapy methods for treating personality disorders
• Personality disorders in the elderly population
• Stigma and misconceptions about personality disorders

Obsessive-Compulsive Disorders

Within this space, research topics could focus on the causes, symptoms, or treatment of disorders like OCD and hoarding.

• OCD and its relationship with anxiety disorders
• Cognitive mechanisms behind hoarding behaviour
• Deep Brain Stimulation as a treatment for severe OCD
• The impact of OCD on academic performance in students
• Role of family and social networks in treating OCD
• Alternative treatments for hoarding disorder
• Childhood onset OCD: Diagnosis and treatment
• OCD and religious obsessions
• The impact of OCD on family dynamics
• Body Dysmorphic Disorder: Causes and treatment

Post-Traumatic Stress Disorder (PTSD)

Research topics in this area could explore the triggers, symptoms, and treatments for PTSD. Here are some thought starters to get you moving.

• PTSD in military veterans: Coping mechanisms and treatment
• Childhood trauma and adult onset PTSD
• Eye Movement Desensitisation and Reprocessing (EMDR) efficacy
• Role of emotional support animals in treating PTSD
• Gender differences in PTSD occurrence and treatment
• Effectiveness of group therapy for PTSD patients
• PTSD and substance abuse: A dual diagnosis
• First responders and rates of PTSD
• Domestic violence as a cause of PTSD
• The neurobiology of PTSD

Neurodevelopmental Disorders

This category of mental health aims to better understand disorders like Autism and ADHD and their impact on day-to-day life.

• Early diagnosis and interventions for Autism Spectrum Disorder
• ADHD medication and its impact on academic performance
• Parental coping strategies for children with neurodevelopmental disorders
• Autism and gender: Diagnosis disparities
• The role of diet in managing ADHD symptoms
• Neurodevelopmental disorders in the criminal justice system
• Genetic factors influencing Autism
• ADHD and its relationship with sleep disorders
• Educational adaptations for children with neurodevelopmental disorders
• Neurodevelopmental disorders and stigma in schools

Eating Disorders

Research topics within this space can explore the psychological, social, and biological aspects of eating disorders.

• The role of social media in promoting eating disorders
• Family dynamics and their impact on anorexia
• Biological basis of binge-eating disorder
• Treatment outcomes for bulimia nervosa
• Eating disorders in athletes
• Media portrayal of body image and its impact
• Eating disorders and gender: Are men underdiagnosed?
• Cultural variations in eating disorders
• The relationship between obesity and eating disorders
• Eating disorders in the LGBTQ+ community

Substance-Related Disorders

Research topics in this category can focus on addiction mechanisms, treatment options, and social implications.

• Efficacy of rehabilitation centres for alcohol addiction
• The role of genetics in substance abuse
• Substance abuse and its impact on family dynamics
• Prescription drug abuse among the elderly
• Legalisation of marijuana and its impact on substance abuse rates
• Alcoholism and its relationship with liver diseases
• Opioid crisis: Causes and solutions
• Substance abuse education in schools: Is it effective?
• Harm reduction strategies for drug abuse
• Co-occurring mental health disorders in substance abusers

Choosing A Research Topic

These research topic ideas we’ve covered here serve as thought starters to help you explore different areas within mental health. They are intentionally very broad and open-ended. By engaging with the currently literature in your field of interest, you’ll be able to narrow down your focus to a specific research gap .

It’s important to consider a variety of factors when choosing a topic for your dissertation or thesis . Think about the relevance of the topic, its feasibility , and the resources available to you, including time, data, and academic guidance. Also, consider your own interest and expertise in the subject, as this will sustain you through the research process.

Always consult with your academic advisor to ensure that your chosen topic aligns with academic requirements and offers a meaningful contribution to the field. If you need help choosing a topic, consider our private coaching service.

You Might Also Like:

Good morning everyone. This are very patent topics for research in neuroscience. Thank you for guidance

What if everything is important, original and intresting? as in Neuroscience. I find myself overwhelmd with tens of relveant areas and within each area many optional topics. I ask myself if importance (for example – able to treat people suffering) is more relevant than what intrest me, and on the other hand if what advance me further in my career should not also be a consideration?

This information is really helpful and have learnt alot

Phd research topics on implementation of mental health policy in Nigeria :the prospects, challenges and way forward.

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What is depression?

Depression (also known as major depression, major depressive disorder, or clinical depression) is a common but serious mood disorder. It causes severe symptoms that affect how a person feels, thinks, and handles daily activities, such as sleeping, eating, or working.

To be diagnosed with depression, the symptoms must be present for at least 2 weeks.

There are different types of depression, some of which develop due to specific circumstances.

• Major depression includes symptoms of depressed mood or loss of interest, most of the time for at least 2 weeks, that interfere with daily activities.
• Persistent depressive disorder (also called dysthymia or dysthymic disorder) consists of less severe symptoms of depression that last much longer, usually for at least 2 years.
• Perinatal depression is depression that occurs during pregnancy or after childbirth. Depression that begins during pregnancy is prenatal depression, and depression that begins after the baby is born is postpartum depression.
• Seasonal affective disorder is depression that comes and goes with the seasons, with symptoms typically starting in the late fall or early winter and going away during the spring and summer.
• Depression with symptoms of psychosis is a severe form of depression in which a person experiences psychosis symptoms, such as delusions (disturbing, false fixed beliefs) or hallucinations (hearing or seeing things others do not hear or see).

People with  bipolar disorder  (formerly called manic depression or manic-depressive illness) also experience depressive episodes, during which they feel sad, indifferent, or hopeless, combined with a very low activity level. But a person with bipolar disorder also experiences manic (or less severe hypomanic) episodes, or unusually elevated moods, in which they might feel very happy, irritable, or “up,” with a marked increase in activity level.

Other depressive disorders found in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5-TR)   include disruptive mood dysregulation disorder (diagnosed in children and adolescents) and premenstrual dysphoric disorder (that affects women around the time of their period).

Who gets depression?

Depression can affect people of all ages, races, ethnicities, and genders.

Women are diagnosed with depression more often than men, but men can also be depressed. Because men may be less likely to recognize, talk about, and seek help for their feelings or emotional problems, they are at greater risk of their depression symptoms being undiagnosed or undertreated.

Studies also show higher rates of depression and an increased risk for the disorder among members of the LGBTQI+ community.

What are the signs and symptoms of depression?

If you have been experiencing some of the following signs and symptoms, most of the day, nearly every day, for at least 2 weeks, you may have depression:

• Persistent sad, anxious, or “empty” mood
• Feelings of hopelessness or pessimism
• Feelings of irritability, frustration, or restlessness
• Feelings of guilt, worthlessness, or helplessness
• Loss of interest or pleasure in hobbies and activities
• Fatigue, lack of energy, or feeling slowed down
• Difficulty concentrating, remembering, or making decisions
• Difficulty sleeping, waking too early in the morning, or oversleeping
• Changes in appetite or unplanned weight changes
• Physical aches or pains, headaches, cramps, or digestive problems without a clear physical cause that do not go away with treatment
• Thoughts of death or suicide or suicide attempts

Not everyone who is depressed experiences all these symptoms. Some people experience only a few symptoms, while others experience many. Symptoms associated with depression interfere with day-to-day functioning and cause significant distress for the person experiencing them.

Depression can also involve other changes in mood or behavior that include:

• Increased anger or irritability
• Feeling restless or on edge
• Becoming withdrawn, negative, or detached
• Increased engagement in high-risk activities
• Greater impulsivity
• Increased use of alcohol or drugs
• Isolating from family and friends
• Inability to meet the responsibilities of work and family or ignoring other important roles
• Problems with sexual desire and performance

Depression can look different in men and women. Although people of all genders can feel depressed, how they express those symptoms and the behaviors they use to cope with them may differ. For example, men (as well as women) may show symptoms other than sadness, instead seeming angry or irritable. And although increased use of alcohol or drugs can be a sign of depression in anyone, men are more likely to use these substances as a coping strategy.

In some cases, mental health symptoms appear as physical problems (for example, a racing heart, tightened chest, ongoing headaches, or digestive issues). Men are often more likely to see a health care provider about these physical symptoms than their emotional ones.

Because depression tends to make people think more negatively about themselves and the world, some people may also have thoughts of suicide or self-harm.

Several persistent symptoms, in addition to low mood, are required for a diagnosis of depression, but people with only a few symptoms may benefit from treatment. The severity and frequency of symptoms and how long they last will vary depending on the person, the illness, and the stage of the illness.

If you experience signs or symptoms of depression and they persist or do not go away, talk to a health care provider. If you see signs or symptoms of depression in someone you know, encourage them to seek help from a mental health professional.

If you or someone you know is struggling or having thoughts of suicide, call or text the 988 Suicide and Crisis Lifeline   at 988 or chat at 988lifeline.org   . In life-threatening situations, call 911 .

What are the risk factors for depression?

Depression is one of the most common mental disorders in the United States . Research suggests that genetic, biological, environmental, and psychological factors play a role in depression.

Risk factors for depression can include:

• Personal or family history of depression
• Major negative life changes, trauma, or stress

Depression can happen at any age, but it often begins in adulthood. Depression is now recognized as occurring in children and adolescents, although children may express more irritability or anxiety than sadness. Many chronic mood and anxiety disorders in adults begin as high levels of anxiety in childhood.

Depression, especially in midlife or older age, can co-occur with other serious medical illnesses, such as diabetes, cancer, heart disease, chronic pain, and Parkinson’s disease. These conditions are often worse when depression is present, and research suggests that people with depression and other medical illnesses tend to have more severe symptoms of both illnesses. The Centers for Disease Control and Prevention (CDC)  has also recognized that having certain mental disorders, including depression and schizophrenia, can make people more likely to get severely ill from COVID-19.

Sometimes a physical health problem, such as thyroid disease, or medications taken for an illness cause side effects that contribute to depression. A health care provider experienced in treating these complicated illnesses can help determine the best treatment strategy. 

How is depression treated?

Depression, even the most severe cases, can be treated. The earlier treatment begins, the more effective it is. Depression is usually treated with psychotherapy , medication , or a combination of the two.

Some people experience treatment-resistant depression, which occurs when a person does not get better after trying at least two antidepressant medications. If treatments like psychotherapy and medication do not reduce depressive symptoms or the need for rapid relief from symptoms is urgent, brain stimulation therapy  may be an option to explore.

Quick tip : No two people are affected the same way by depression, and there is no "one-size-fits-all" treatment. Finding the treatment that works best for you may take trial and error.

Psychotherapies

Several types of psychotherapy (also called talk therapy or counseling) can help people with depression by teaching them new ways of thinking and behaving and helping them change habits that contribute to depression. Evidence-based approaches to treating depression include cognitive-behavioral therapy (CBT) and interpersonal therapy (IPT). Learn more about psychotherapy .

The growth of telehealth for mental health services , which offers an alternative to in-person therapy, has made it easier and more convenient for people to access care in some cases. For people who may have been hesitant to look for mental health care in the past, virtual mental health care might be an easier option.

Medications

Antidepressants are medications commonly used to treat depression. They work by changing how the brain produces or uses certain chemicals involved in mood or stress. You may need to try several different antidepressants before finding the one that improves your symptoms and has manageable side effects. A medication that has helped you or a close family member in the past will often be considered first.

Antidepressants take time—usually 4–8 weeks—to work, and problems with sleep, appetite, and concentration often improve before mood lifts. It is important to give a medication a chance to work before deciding whether it’s right for you. Learn more about mental health medications . 

New medications, such as intranasal esketamine , can have rapidly acting antidepressant effects, especially for people with treatment-resistant depression. Esketamine is a medication approved by the U.S. Food and Drug Administration (FDA)  for treatment-resistant depression. Delivered as a nasal spray in a doctor’s office, clinic, or hospital, it acts rapidly, typically within a couple of hours, to relieve depression symptoms. People who use esketamine will usually continue taking an oral antidepressant to maintain the improvement in their symptoms.

Another option for treatment-resistant depression is to take an antidepressant alongside a different type of medication that may make it more effective, such as an antipsychotic or anticonvulsant medication. Further research is needed to identify the role of these newer medications in routine practice.

If you begin taking an antidepressant, do not stop taking it without talking to a health care provider . Sometimes people taking antidepressants feel better and stop taking the medications on their own, and their depression symptoms return. When you and a health care provider have decided it is time to stop a medication, usually after a course of 9–12 months, the provider will help you slowly and safely decrease your dose. Abruptly stopping a medication can cause withdrawal symptoms.

Note : In some cases, children, teenagers, and young adults under 25 years may experience an increase in suicidal thoughts or behavior when taking antidepressants, especially in the first few weeks after starting or when the dose is changed. The FDA advises that patients of all ages taking antidepressants be watched closely, especially during the first few weeks of treatment.

If you are considering taking an antidepressant and are pregnant, planning to become pregnant, or breastfeeding, talk to a health care provider about any health risks to you or your unborn or nursing child and how to weigh those risks against the benefits of available treatment options.

To find the latest information about antidepressants, talk to a health care provider and visit the FDA website  .

Brain stimulation therapies

If psychotherapy and medication do not reduce symptoms of depression, brain stimulation therapy may be an option to explore. There are now several types of brain stimulation therapy, some of which have been authorized by the FDA to treat depression. Other brain stimulation therapies are experimental and still being investigated for mental disorders like depression.

Although brain stimulation therapies are less frequently used than psychotherapy and medication, they can play an important role in treating mental disorders in people who do not respond to other treatments. These therapies are used for most mental disorders only after psychotherapy and medication have been tried and usually continue to be used alongside these treatments.

Brain stimulation therapies act by activating or inhibiting the brain with electricity. The electricity is given directly through electrodes implanted in the brain or indirectly through electrodes placed on the scalp. The electricity can also be induced by applying magnetic fields to the head.

The brain stimulation therapies with the largest bodies of evidence include:

• Electroconvulsive therapy (ECT)
• Repetitive transcranial magnetic stimulation (rTMS)
• Vagus nerve stimulation (VNS)
• Magnetic seizure therapy (MST)
• Deep brain stimulation (DBS)

ECT and rTMS are the most widely used brain stimulation therapies, with ECT having the longest history of use. The other therapies are newer and, in some cases, still considered experimental. Other brain stimulation therapies may also hold promise for treating specific mental disorders.

ECT, rTMS, and VNS have authorization from the FDA to treat severe, treatment-resistant depression. They can be effective for people who have not been able to feel better with other treatments; people for whom medications cannot be used safely; and in severe cases where a rapid response is needed, such as when a person is catatonic, suicidal, or malnourished.

Additional types of brain stimulation therapy are being investigated for treating depression and other mental disorders. Talk to a health care provider and make sure you understand the potential benefits and risks before undergoing brain stimulation therapy. Learn more about these brain stimulation therapies .

Natural products

The FDA has not approved any natural products for treating depression. Although research is ongoing and findings are inconsistent, some people use natural products, including vitamin D and the herbal dietary supplement St. John’s wort, for depression. However, these products can come with risks. For instance, dietary supplements and natural products can limit the effectiveness of some medications or interact in dangerous or even life-threatening ways with them.

Do not use vitamin D, St. John’s wort, or other dietary supplements or natural products without talking to a health care provider. Rigorous studies must be conducted to test whether these and other natural products are safe and effective.

Daily morning light therapy is a common treatment choice for people with seasonal affective disorder (SAD). Light therapy devices are much brighter than ordinary indoor lighting and considered safe, except for people with certain eye diseases or taking medications that increase sensitivity to sunlight. As with all interventions for depression, evaluation, treatment, and follow-up by a health care provider are strongly recommended. Research into the potential role of light therapy in treating non-seasonal depression is ongoing.

How can I find help for depression?

A primary care provider is a good place to start if you’re looking for help. They can refer you to a qualified mental health professional, such as a psychologist, psychiatrist, or clinical social worker, who can help you figure out next steps. Find tips for talking with a health care provider about your mental health.

You can learn more about getting help on the NIMH website. You can also learn about finding support  and locating mental health services  in your area on the Substance Abuse and Mental Health Services Administration (SAMHSA) website. 

Once you enter treatment, you should gradually start to feel better. Here are some other things you can do outside of treatment that may help you or a loved one feel better:

• Try to get physical activity. Just 30 minutes a day of walking can boost your mood.
• Try to maintain a regular bedtime and wake-up time.
• Eat regular, healthy meals.
• Break up large tasks into small ones; do what you can as you can. Decide what must get done and what can wait.
• Try to connect with people. Talk with people you trust about how you are feeling.
• Delay making important decisions, such as getting married or divorced, or changing jobs until you feel better. Discuss decisions with people who know you well.
• Avoid using alcohol, nicotine, or drugs, including medications not prescribed for you.

How can I find a clinical trial for depression?

Clinical trials are research studies that look at new ways to prevent, detect, or treat diseases and conditions, including depression. The goal of a clinical trial is to determine if a new test or treatment works and is safe. Although people may benefit from being part of a clinical trial, they should know that the primary purpose is to gain new scientific knowledge so that others can be better helped in the future.

Researchers at NIMH and around the country conduct many studies with people with and without depression. We have new and better treatment options today because of what clinical trials have uncovered. Talk to a health care provider about clinical trials, their benefits and risks, and whether one is right for you.

To learn more or find a study, visit:

• Clinical Trials – Information for Participants : Information about clinical trials, why people might take part in a clinical trial, and what people might experience during a clinical trial
• Clinicaltrials.gov: Current Studies on Depression   : List of clinical trials funded by the National Institutes of Health (NIH) being conducted across the country
• Join a Study: Depression—Adults : List of studies currently recruiting adults with depression being conducted on the NIH campus in Bethesda, MD
• Join a Study: Depression—Children : List of studies currently recruiting children with depression being conducted on the NIH campus in Bethesda, MD
• Join a Study: Perimenopause-Related Mood Disorders : List of studies on perimenopause-related mood disorders being conducted on the NIH campus in Bethesda, MD
• Join a Study: Postpartum Depression : List of studies on postpartum depression being conducted on the NIH campus in Bethesda, MD

Where can I learn more about depression?

Free brochures and shareable resources.

• Chronic Illness and Mental Health: Recognizing and Treating Depression : This brochure provides information about depression for people living with chronic illnesses, including children and adolescents. It discusses signs and symptoms, risk factors, and treatment options.
• Depression : This brochure provides information about depression, including different types of depression, signs and symptoms, how it is diagnosed, treatment options, and how to find help for yourself or a loved one.
• Depression in Women: 4 Things to Know : This fact sheet provides information about depression in women, including signs and symptoms, types of depression unique to women, and how to get help.
• Perinatal Depression : This brochure provides information about perinatal depression, including how it differs from “baby blues,” causes, signs and symptoms, treatment options, and how to find help for yourself or a loved one.
• Seasonal Affective Disorder : This fact sheet provides information about seasonal affective disorder, including signs and symptoms, how it is diagnosed, causes, and treatment options.
• Seasonal Affective Disorder (SAD): More Than the Winter Blues : This infographic provides information about how to recognize the symptoms of SAD and what to do to get help.
• Teen Depression: More Than Just Moodiness : This fact sheet is for teens and young adults and provides information about how to recognize the symptoms of depression and what to do to get help.
• Digital Shareables on Depression : These digital resources, including graphics and messages, can be used to spread the word about depression and help promote depression awareness and education in your community.

Federal resources

• Depression   (MedlinePlus - also en español  )
• Moms’ Mental Health Matters: Depression and Anxiety Around Pregnancy   ( Eunice Kennedy Shriver National Institute of Child Health and Human Development)

Research and statistics

• Journal Articles   : This webpage provides articles and abstracts on depression from MEDLINE/PubMed (National Library of Medicine).
• Statistics: Major Depression : This webpage provides the statistics currently available on the prevalence and treatment of depression among people in the United States.
• Depression Mental Health Minute : Take a mental health minute to watch this video on depression.
• NIMH Experts Discuss the Menopause Transition and Depression : Learn about the signs and symptoms, treatments, and latest research on depression during menopause.
• NIMH Expert Discusses Seasonal Affective Disorder : Learn about the signs and symptoms, treatments, and latest research on seasonal affective disorder.
• Discover NIMH: Personalized and Targeted Brain Stimulation Therapies : Watch this video describing repetitive transcranial magnetic stimulation and electroconvulsive therapy for treatment-resistant depression. Brain stimulation therapies can be effective treatments for people with depression and other mental disorders. NIMH supports studies exploring how to make brain stimulation therapies more personalized while reducing side effects.
• Discover NIMH: Drug Discovery and Development : One of the most exciting breakthroughs from research funded by NIMH is the development of a fast-acting medication for treatment-resistant depression based on ketamine. This video shares the story of how ketamine infusions meaningfully changed the life of a participant in an NIMH clinical trial.
• Mental Health Matters Podcast: Depression: The Case for Ketamine : Dr. Carlos Zarate Jr. discusses esketamine—the medication he helped discover—for treatment-resistant depression. The podcast covers the history behind the development of esketamine, how it can help with depression, and what the future holds for this innovative line of clinical research.

Last Reviewed: March 2024

Unless otherwise specified, the information on our website and in our publications is in the public domain and may be reused or copied without permission. However, you may not reuse or copy images. Please cite the National Institute of Mental Health as the source. Read our copyright policy to learn more about our guidelines for reusing NIMH content.

61 intriguing psychology research topics to explore

Last updated

11 January 2024

Reviewed by

Brittany Ferri, PhD, OTR/L

Psychology is an incredibly diverse, critical, and ever-changing area of study in the medical and health industries. Because of this, it’s a common area of study for students and healthcare professionals.

We’re walking you through picking the perfect topic for your upcoming paper or study. Keep reading for plenty of example topics to pique your interest and curiosity.

• How to choose a psychology research topic

Exploring a psychology-based topic for your research project? You need to pick a specific area of interest to collect compelling data. 

Use these tips to help you narrow down which psychology topics to research:

Focus on a particular area of psychology

The most effective psychological research focuses on a smaller, niche concept or disorder within the scope of a study. 

Psychology is a broad and fascinating area of science, including everything from diagnosed mental health disorders to sports performance mindset assessments. 

This gives you plenty of different avenues to explore. Having a hard time choosing? Check out our list of 61 ideas further down in this article to get started.

Read the latest clinical studies

Once you’ve picked a more niche topic to explore, you need to do your due diligence and explore other research projects on the same topic. 

This practice will help you learn more about your chosen topic, ask more specific questions, and avoid covering existing projects. 

For the best results, we recommend creating a research folder of associated published papers to reference throughout your project. This makes it much easier to cite direct references and find inspiration down the line.

Find a topic you enjoy and ask questions

Once you’ve spent time researching and collecting references for your study, you finally get to explore. 

Whether this research project is for work, school, or just for fun, having a passion for your research will make the project much more enjoyable. (Trust us, there will be times when that is the only thing that keeps you going.) 

Now you’ve decided on the topic, ask more nuanced questions you might want to explore. 

If you can, pick the direction that interests you the most to make the research process much more enjoyable.

• 61 psychology topics to research in 2024

Need some extra help starting your psychology research project on the right foot? Explore our list of 61 cutting-edge, in-demand psychology research topics to use as a starting point for your research journey.

• Psychology research topics for university students

As a university student, it can be hard to pick a research topic that fits the scope of your classes and is still compelling and unique. 

Here are a few exciting topics we recommend exploring for your next assigned research project:

Mental health in post-secondary students

Seeking post-secondary education is a stressful and overwhelming experience for most students, making this topic a great choice to explore for your in-class research paper. 

Examples of post-secondary mental health research topics include:

Student mental health status during exam season

Mental health disorder prevalence based on study major

The impact of chronic school stress on overall quality of life

The impacts of cyberbullying

Cyberbullying can occur at all ages, starting as early as elementary school and carrying through into professional workplaces. 

Examples of cyberbullying-based research topics you can study include:

The impact of cyberbullying on self-esteem

Common reasons people engage in cyberbullying 

Cyberbullying themes and commonly used terms

Cyberbullying habits in children vs. adults

The long-term effects of cyberbullying

• Clinical psychology research topics

If you’re looking to take a more clinical approach to your next project, here are a few topics that involve direct patient assessment for you to consider:

Chronic pain and mental health

Living with chronic pain dramatically impacts every aspect of a person’s life, including their mental and emotional health. 

Here are a few examples of in-demand pain-related psychology research topics:

The connection between diabetic neuropathy and depression

Neurological pain and its connection to mental health disorders

Efficacy of meditation and mindfulness for pain management

The long-term effects of insomnia

Insomnia is where you have difficulty falling or staying asleep. It’s a common health concern that impacts millions of people worldwide. 

This is an excellent topic because insomnia can have a variety of causes, offering many research possibilities. 

Here are a few compelling psychology research topics about insomnia you could investigate:

The prevalence of insomnia based on age, gender, and ethnicity

Insomnia and its impact on workplace productivity

The connection between insomnia and mental health disorders

Efficacy and use of melatonin supplements for insomnia

The risks and benefits of prescription insomnia medications

Lifestyle options for managing insomnia symptoms

The efficacy of mental health treatment options

Management and treatment of mental health conditions is an ever-changing area of study. If you can witness or participate in mental health therapies, this can make a great research project. 

Examples of mental health treatment-related psychology research topics include:

The efficacy of cognitive behavioral therapy (CBT) for patients with severe anxiety

The benefits and drawbacks of group vs. individual therapy sessions

Music therapy for mental health disorders

Electroconvulsive therapy (ECT) for patients with depression 

• Controversial psychology research paper topics

If you are looking to explore a more cutting-edge or modern psychology topic, you can delve into a variety of controversial and topical options:

The impact of social media and digital platforms

Ever since access to internet forums and video games became more commonplace, there’s been growing concern about the impact these digital platforms have on mental health. 

Examples of social media and video game-related psychology research topics include:

The effect of edited images on self-confidence

How social media platforms impact social behavior

Video games and their impact on teenage anger and violence

Digital communication and the rapid spread of misinformation

The development of digital friendships

Psychotropic medications for mental health

In recent years, the interest in using psychoactive medications to treat and manage health conditions has increased despite their inherently controversial nature. 

Examples of psychotropic medication-related research topics include:

The risks and benefits of using psilocybin mushrooms for managing anxiety

The impact of marijuana on early-onset psychosis

Childhood marijuana use and related prevalence of mental health conditions

Ketamine and its use for complex PTSD (C-PTSD) symptom management

The effect of long-term psychedelic use and mental health conditions

• Mental health disorder research topics

As one of the most popular subsections of psychology, studying mental health disorders and how they impact quality of life is an essential and impactful area of research. 

While studies in these areas are common, there’s always room for additional exploration, including the following hot-button topics:

Anxiety and depression disorders

Anxiety and depression are well-known and heavily researched mental health disorders. 

Despite this, we still don’t know many things about these conditions, making them great candidates for psychology research projects:

Social anxiety and its connection to chronic loneliness

C-PTSD symptoms and causes

The development of phobias

Obsessive-compulsive disorder (OCD) behaviors and symptoms

Depression triggers and causes

Self-care tools and resources for depression

The prevalence of anxiety and depression in particular age groups or geographic areas

Bipolar disorder

Bipolar disorder is a complex and multi-faceted area of psychology research. 

Use your research skills to learn more about this condition and its impact by choosing any of the following topics:

Early signs of bipolar disorder

The incidence of bipolar disorder in young adults

The efficacy of existing bipolar treatment options

Bipolar medication side effects

Cognitive behavioral therapy for people with bipolar 

Schizoaffective disorder

Schizoaffective disorder is often stigmatized, and less common mental health disorders are a hotbed for new and exciting research. 

Here are a few examples of interesting research topics related to this mental health disorder:

The prevalence of schizoaffective disorder by certain age groups or geographic locations

Risk factors for developing schizoaffective disorder

The prevalence and content of auditory and visual hallucinations

Alternative therapies for schizoaffective disorder

• Societal and systematic psychology research topics

Modern society’s impact is deeply enmeshed in our mental and emotional health on a personal and community level. 

Here are a few examples of societal and systemic psychology research topics to explore in more detail:

Access to mental health services

While mental health awareness has risen over the past few decades, access to quality mental health treatment and resources is still not equitable. 

This can significantly impact the severity of a person’s mental health symptoms, which can result in worse health outcomes if left untreated. 

Explore this crucial issue and provide information about the need for improved mental health resource access by studying any of the following topics:

Rural vs. urban access to mental health resources

Access to crisis lines by location

Wait times for emergency mental health services

Inequities in mental health access based on income and location

Insurance coverage for mental health services

Systemic racism and mental health

Societal systems and the prevalence of systemic racism heavily impact every aspect of a person’s overall health.

Researching these topics draws attention to existing problems and contributes valuable insights into ways to improve access to care moving forward.

Examples of systemic racism-related psychology research topics include: 

Access to mental health resources based on race

The prevalence of BIPOC mental health therapists in a chosen area

The impact of systemic racism on mental health and self-worth

Racism training for mental health workers

The prevalence of mental health disorders in discriminated groups

LGBTQIA+ mental health concerns

Research about LGBTQIA+ people and their mental health needs is a unique area of study to explore for your next research project. It’s a commonly overlooked and underserved community.

Examples of LGBTQIA+ psychology research topics to consider include:

Mental health supports for queer teens and children

The impact of queer safe spaces on mental health

The prevalence of mental health disorders in the LGBTQIA+ community

The benefits of queer mentorship and found family

Substance misuse in LQBTQIA+ youth and adults

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50+ Research Topics for Psychology Papers

How to Find Psychology Research Topics for Your Student Paper

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Steven Gans, MD is board-certified in psychiatry and is an active supervisor, teacher, and mentor at Massachusetts General Hospital.

• Specific Branches of Psychology
• Topics Involving a Disorder or Type of Therapy
• Human Cognition
• Human Development
• Critique of Publications
• Famous Experiments
• Historical Figures
• Specific Careers
• Case Studies
• Literature Reviews
• Your Own Study/Experiment

Are you searching for a great topic for your psychology paper ? Sometimes it seems like coming up with topics of psychology research is more challenging than the actual research and writing. Fortunately, there are plenty of great places to find inspiration and the following list contains just a few ideas to help get you started.

Finding a solid topic is one of the most important steps when writing any type of paper. It can be particularly important when you are writing a psychology research paper or essay. Psychology is such a broad topic, so you want to find a topic that allows you to adequately cover the subject without becoming overwhelmed with information.

I can always tell when a student really cares about the topic they chose; it comes through in the writing. My advice is to choose a topic that genuinely interests you, so you’ll be more motivated to do thorough research.

In some cases, such as in a general psychology class, you might have the option to select any topic from within psychology's broad reach. Other instances, such as in an  abnormal psychology  course, might require you to write your paper on a specific subject such as a psychological disorder.

As you begin your search for a topic for your psychology paper, it is first important to consider the guidelines established by your instructor.

Research Topics Within Specific Branches of Psychology

The key to selecting a good topic for your psychology paper is to select something that is narrow enough to allow you to really focus on the subject, but not so narrow that it is difficult to find sources or information to write about.

One approach is to narrow your focus down to a subject within a specific branch of psychology. For example, you might start by deciding that you want to write a paper on some sort of social psychology topic. Next, you might narrow your focus down to how persuasion can be used to influence behavior .

Other social psychology topics you might consider include:

• Prejudice and discrimination (i.e., homophobia, sexism, racism)
• Social cognition
• Person perception
• Social control and cults
• Persuasion, propaganda, and marketing
• Attraction, romance, and love
• Nonverbal communication
• Prosocial behavior

Psychology Research Topics Involving a Disorder or Type of Therapy

Exploring a psychological disorder or a specific treatment modality can also be a good topic for a psychology paper. Some potential abnormal psychology topics include specific psychological disorders or particular treatment modalities, including:

• Eating disorders
• Borderline personality disorder
• Seasonal affective disorder
• Schizophrenia
• Antisocial personality disorder
• Profile a  type of therapy  (i.e., cognitive-behavioral therapy, group therapy, psychoanalytic therapy)

Topics of Psychology Research Related to Human Cognition

Some of the possible topics you might explore in this area include thinking, language, intelligence, and decision-making. Other ideas might include:

• False memories
• Speech disorders
• Problem-solving

Topics of Psychology Research Related to Human Development

In this area, you might opt to focus on issues pertinent to  early childhood  such as language development, social learning, or childhood attachment or you might instead opt to concentrate on issues that affect older adults such as dementia or Alzheimer's disease.

Some other topics you might consider include:

• Language acquisition
• Media violence and children
• Learning disabilities
• Gender roles
• Child abuse
• Prenatal development
• Parenting styles
• Aspects of the aging process

Do a Critique of Publications Involving Psychology Research Topics

One option is to consider writing a critique paper of a published psychology book or academic journal article. For example, you might write a critical analysis of Sigmund Freud's Interpretation of Dreams or you might evaluate a more recent book such as Philip Zimbardo's  The Lucifer Effect: Understanding How Good People Turn Evil .

Professional and academic journals are also great places to find materials for a critique paper. Browse through the collection at your university library to find titles devoted to the subject that you are most interested in, then look through recent articles until you find one that grabs your attention.

Topics of Psychology Research Related to Famous Experiments

There have been many fascinating and groundbreaking experiments throughout the history of psychology, providing ample material for students looking for an interesting term paper topic. In your paper, you might choose to summarize the experiment, analyze the ethics of the research, or evaluate the implications of the study. Possible experiments that you might consider include:

• The Milgram Obedience Experiment
• The Stanford Prison Experiment
• The Little Albert Experiment
• Pavlov's Conditioning Experiments
• The Asch Conformity Experiment
• Harlow's Rhesus Monkey Experiments

Topics of Psychology Research About Historical Figures

One of the simplest ways to find a great topic is to choose an interesting person in the  history of psychology  and write a paper about them. Your paper might focus on many different elements of the individual's life, such as their biography, professional history, theories, or influence on psychology.

While this type of paper may be historical in nature, there is no need for this assignment to be dry or boring. Psychology is full of fascinating figures rife with intriguing stories and anecdotes. Consider such famous individuals as Sigmund Freud, B.F. Skinner, Harry Harlow, or one of the many other  eminent psychologists .

Psychology Research Topics About a Specific Career

​Another possible topic, depending on the course in which you are enrolled, is to write about specific career paths within the  field of psychology . This type of paper is especially appropriate if you are exploring different subtopics or considering which area interests you the most.

In your paper, you might opt to explore the typical duties of a psychologist, how much people working in these fields typically earn, and the different employment options that are available.

Topics of Psychology Research Involving Case Studies

One potentially interesting idea is to write a  psychology case study  of a particular individual or group of people. In this type of paper, you will provide an in-depth analysis of your subject, including a thorough biography.

Generally, you will also assess the person, often using a major psychological theory such as  Piaget's stages of cognitive development  or  Erikson's eight-stage theory of human development . It is also important to note that your paper doesn't necessarily have to be about someone you know personally.

In fact, many professors encourage students to write case studies on historical figures or fictional characters from books, television programs, or films.

Psychology Research Topics Involving Literature Reviews

Another possibility that would work well for a number of psychology courses is to do a literature review of a specific topic within psychology. A literature review involves finding a variety of sources on a particular subject, then summarizing and reporting on what these sources have to say about the topic.

Literature reviews are generally found in the  introduction  of journal articles and other  psychology papers , but this type of analysis also works well for a full-scale psychology term paper.

Topics of Psychology Research Based on Your Own Study or Experiment

Many psychology courses require students to design an actual psychological study or perform some type of experiment. In some cases, students simply devise the study and then imagine the possible results that might occur. In other situations, you may actually have the opportunity to collect data, analyze your findings, and write up your results.

Finding a topic for your study can be difficult, but there are plenty of great ways to come up with intriguing ideas. Start by considering your own interests as well as subjects you have studied in the past.

Online sources, newspaper articles, books , journal articles, and even your own class textbook are all great places to start searching for topics for your experiments and psychology term papers. Before you begin, learn more about  how to conduct a psychology experiment .

What This Means For You

After looking at this brief list of possible topics for psychology papers, it is easy to see that psychology is a very broad and diverse subject. While this variety makes it possible to find a topic that really catches your interest, it can sometimes make it very difficult for some students to select a good topic.

If you are still stumped by your assignment, ask your instructor for suggestions and consider a few from this list for inspiration.

• Hockenbury, SE & Nolan, SA. Psychology. New York: Worth Publishers; 2014.
• Santrock, JW. A Topical Approach to Lifespan Development. New York: McGraw-Hill Education; 2016.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

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Research Topics

Five research topics exploring the science of mental health.

Mental wellbeing is increasingly recognized as an essential aspect of our overall health. It supports our ability to handle challenges, build strong relationships, and live more fulfilling lives. The World Health Organization (WHO) emphasizes the importance of mental health by acknowledging it as a fundamental human right.

This Mental Health Awareness Week, we highlight the remarkable work of scientists driving open research that helps everyone achieve better mental health.

Here are five Research Topics that study themes including how we adapt to a changing world, the impact of loneliness on our wellbeing, and the connection between our diet and mental health.

All articles are openly available to view and download.

1 | Community Series in Mental Health Promotion and Protection, volume II

40.300 views | 16 articles

There is no health without mental health. Thus, this Research Topic collects ideas and research related to strategies that promote mental health across all disciplines. The goal is to raise awareness about mental health promotion and protection to ensure its incorporation in national mental health policies.

This topic is of relevance given the mental health crisis being experienced across the world right now. A reality that has prompted the WHO to declare that health is a state of complete physical, mental, and social wellbeing.

View Research Topic

2 | Dietary and Metabolic Approaches for Mental Health Conditions

176.800 views | 11 articles

There is increased recognition that mental health disorders are, at least in part, a form of diet-related disease. For this reason, we focus attention on a Research Topic that examines the mechanistic interplay between dietary patterns and mental health conditions.

There is a clear consensus that the quality, quantity, and even timing of our human feeding patterns directly impact how brains function. But despite the epidemiological and mechanistic links between mental health and diet-related diseases, these two are often perceived as separate medical issues.

Even more urgent, public health messaging and clinical treatments for mental health conditions place relatively little emphasis on formulating nutrition to ease the underlying drivers of mental health conditions.

3 | Comparing Mental Health Cross-Culturally

94.000 views | 15 articles

Although mental health has been widely discussed in later years, how mental health is perceived across different cultures remains to be examined. This Research Topic addresses this gap and deepens our knowledge of mental health by comparing positive and negative psychological constructs cross-culturally.

The definition and understanding of mental health remain to be refined, partially because of a lack of cross-cultural perspectives on mental health. Also, due to the rapid internationalization taking place in the world today, a culturally aware understanding of, and interventions for mental health problems are essential.

4 | Adaption to Change and Coping Strategies: New Resources for Mental Health

85.000 views | 29 articles

In this Research Topic, scientists study a wider range of variables involved in change and adaptation. They examine changes of any type or magnitude whenever the lack of adaptive response diminishes our development and well-being.

Today’s society is characterized by change, and sometimes, the constant changes are difficult to assimilate. This may be why feelings of frustration and defenselessness appear in the face of the impossibility of responding adequately to the requirements of a changing society.

Therefore, society must develop an updated notion of the processes inherent to changing developmental environments, personal skills, resources, and strategies. This know-how is crucial for achieving and maintaining balanced mental health.

5 | Mental Health Equity

29.900 views | 10 articles

The goal of this Research Topic is to move beyond a synthesis of what is already known about mental health in the context of health equity. Rather, the focus here is on transformative solutions, recommendations, and applied research that have real world implications on policy, practice, and future scholarship.

Attention in the field to upstream factors and the role of social and structural determinants of health in influencing health outcomes, combined with an influx of innovation –particularly the digitalization of healthcare—presents a unique opportunity to solve pressing issues in mental health through a health equity lens.

The topic is opportune because factors such as structural racism and climate change have disproportionately negatively impacted marginalized communities across the world, including Black, Indigenous, People of Color (BIPOC), LGBTQ+, people with disabilities, and transition-age youth and young adults. As a result, existing disparities in mental health have exacerbated.

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Evolution and Emerging Trends in Depression Research From 2004 to 2019: A Literature Visualization Analysis

1 School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China

Xuemei Tian

2 School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China

Xianrui Wang

Associated data.

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.

Depression has become a major threat to human health, and researchers around the world are actively engaged in research on depression. In order to promote closer research, the study of the global depression knowledge map is significant. This study aims to map the knowledge map of depression research and show the current research distribution, hotspots, frontiers, and trends in the field of depression research, providing researchers with worthwhile information and ideas. Based on the Web of Science core collection of depression research from 2004 to 2019, this study systematically analyzed the country, journal, category, author, institution, cited article, and keyword aspects using bibliometric and data visualization methods. A relationship network of depression research was established, highlighting the highly influential countries, journals, categories, authors, institutions, cited articles, and keywords in this research field. The study identifies great research potential in the field of depression, provides scientific guidance for researchers to find potential collaborations through collaboration networks and coexistence networks, and systematically and accurately presents the hotspots, frontiers, and shortcomings of depression research through the knowledge map of global research on depression with the help of information analysis and fusion methods, which provides valuable information for researchers and institutions to determine meaningful research directions.

Introduction

Health issues are becoming more and more important to people due to the continuous development of health care. The social pressures on people are becoming more and more pronounced in a social environment that is developing at an increasing rate. Prolonged exposure to stress can have a negative impact on brain development ( 1 ), and depression is one of the more typical disorders that accompany it. Stress will increase the incidence of depression ( 2 ), depression has become a common disease ( 3 ), endangering people's physical health. Depression is a debilitating mental illness with mood disorders, also known as major depression, clinical depression, or melancholia. In human studies of the disease, it has been found that depression accounts for a large proportion of the affected population. According to the latest data from the World Health Organization (WHO) statistics in 2019, there are more than 350 million people with depression worldwide, with an increase of about 18% in the last decade and an estimated lifetime prevalence of 15% ( 4 ), it is a major cause of global disability and disease burden ( 5 ), and depression has quietly become a disease that threatens hundreds of millions of people worldwide.

Along with the rise of science communication research, the quantification of science is also flourishing. As a combination of “data science” and modern science, bibliometrics takes advantage of the explosive growth of research output in the era of big data, and uses topics, authors, publications, keywords, references, citations, etc. as research targets to reveal the current status and impact of the discipline more accurately and scientifically. Whereas, there is not a wealth of bibliometric studies related to depression. Fusar-Poli et al. ( 6 ) used bibliometrics to systematically evaluate cross-diagnostic psychiatry. Hammarström et al. ( 7 ) used bibliometrics to analyze the scientific quality of gender-related explanatory models of depression in the medical database PubMed. Tran et al. ( 8 ) used the bibliometric analysis of research progress and effective interventions for depression in AIDS patients. Wang et al. ( 9 ) used bibliometric methods to analyze scientific studies on the comorbidity of pain and depression. Shi et al. ( 10 ) performed a bibliometric analysis of the top 100 cited articles on biomarkers in the field of depression. Dongping et al. ( 11 ) used bibliometric analysis of studies on the association between depression and gut flora. An Chunping et al. ( 12 ) analyzed the literature on acupuncture for depression included in PubMed based on bibliometrics. Yi and Xiaoli ( 13 ) used a bibliometric method to analyze the characteristics of the literature on the treatment of depression by Chinese medicine in the last 10 years. Zhou and Yan ( 14 ) used bibliometric method to analyze the distribution of scientific and technological achievements on depression in Peoples R China. Guaijuan ( 15 ) performed a bibliometric analysis of the interrelationship between psoriasis and depression. Econometric analysis of the relationship between vitamin D deficiency and depression was performed by Yunzhi et al. ( 16 ) and Shauni et al. ( 17 ) performed a bibliometric analysis of domestic and international research papers on depression-related genes from 2003 to 2007. A previous review of depression-related bibliometric studies revealed that there is no bibliometric analysis of global studies in the field of depression, including country network analysis, journal network analysis, category network analysis, author network analysis, institutional network analysis, literature co-citation analysis, keyword co-presentation analysis, and cluster analysis.

The aim of this study was to conduct a comprehensive and systematic literature-based data mining and metrics analysis of depression-related research. More specifically, this analysis focuses on cooperative network and co-presentation analysis, based on the 36,477 papers included in the Web of Science Core Collection database from 2004 to 2019, and provides an in-depth analysis of cooperative network, co-presentation network, and co-citation through modern metrics and data visualization methods. Through the mining of key data, the data correlation is further explored, and the results obtained can be used to scientifically and reasonably predict the depression-related information. This study aims to show the spatial and temporal distribution of research countries, journals, authors, and institutions in the field of depression in a more concise manner through a relational network. A deeper understanding of the internal structure of the research community will help researchers and institutions to establish more accurate and effective global collaborations, in line with the trend of human destiny and globalization. In addition, the study will allow for the timely identification of gaps in current research. A more targeted research direction will be established, a more complete picture of the new developments in the field of depression today will be obtained, and the research protocol will be informed for further adjustments. The results of these analyses will help researchers understand the evolution of this field of study. Overall, this paper uses literature data analysis to find research hotspots in the field of depression, analyze the knowledge structure within different studies, and provide a basis for predicting research frontiers. This study analyzed the literature in the field of depression using CiteSpace 5.8.R2 (64-bit) to analyze collaborative networks, including country network analysis, journal network analysis, category network analysis, researcher network analysis, and institutional network analysis using CiteSpace 5.8.R2 (64-bit). In addition, literature co-citation, keyword co-presentation, and cluster analysis of depression research hotspots were also performed. Thus, exploring the knowledge dimensions of the field, quantifying the research patterns in the field, and uncovering emerging trends in the field will help to obtain more accurate and complete information. The large amount of current research results related to depression will be presented more intuitively and accurately with the medium of information technology, and the scientific evaluation of research themes and trend prediction will be provided from a new perspective.

Data Sources

The data in this paper comes from the Web of Science (WoS) core collection. The time years were selected as 2004–2019. First, the literature was retrieved after entering “depression” using the title search method. A total of 73,829 articles, excluding “depression” as “suppression,” “decline,” “sunken,” “pothole,” “slump,” “low pressure,” “frustration.” The total number of articles with other meanings such as “depression” was 5,606, and the total number of valid articles related to depression was 68,223. Next, the title search method was used to search for studies related to “major depressive disorder” not “depression,” and a total of 8,070 articles were retrieved. For the two search strategies, a total of 76,293 records were collected. The relevant literature retrieved under the two methods were combined and exported in “plain text” file format. The exported records included: “full records and references cited.” CiteSpace processed the data to obtain 41,408 valid records, covering all depression-related research articles for the period 2004–2019, and used this as the basis for analysis.

Processing Tools

CiteSpace ( 18 ), developed by Chao-Mei Chen, a professor in the School of Information Science and Technology at Drexel University, is a Java-based program with powerful data visualization capabilities and is one of the most widely used knowledge mapping tools. The software version used in this study is CiteSpace 5.8.R2 (64-bit).

Methods of Analysis

This study uses bibliometrics and data visualization as analytical methods. First, the application of bibliometrics to the field of depression helped to identify established and emerging research clusters, demonstrating the value of research in this area. Second, data visualization provides multiple perspectives on the data, presenting correlations in a clearer “knowledge graph” that can reveal underestimated and overlooked trends, patterns, and differences ( 19 ). CiteSpace is mainly based on the “co-occurrence clustering idea,” which extracts the information units (keywords, authors, institutions, countries, journals, etc.) in the data by classification, and then further reconstructs the data in the information units to form networks based on different types and strengths of connections (e.g., keyword co-occurrence, author collaboration, etc.). The resulting networks include nodes and links, where the nodes represent the information units of the literature and the links represent the existence of connections (co-occurrence) between the nodes. Finally, the network is measured, statistically analyzed, and presented in a visual way. The analysis needs to focus on: the overall structure of the network, key nodes and paths. The key evaluation indicators in this study are: betweenness centrality, year, keyword frequency, and burst strength. Betweenness centrality (BC) is the number of times a node acts as the shortest bridge between two other nodes. The higher the number of times a node acts as an “intermediary,” the greater its betweenness centrality. Betweenness centrality is a measure of the importance of articles found and measured by nodes in the network by labeling the category (or authors, journals, institutions, etc.) with purple circles. There may be many shortest paths between two nodes in the network, and by counting all the shortest paths of any two nodes in the network, if many of the shortest paths pass through a node, then the node is considered to have high betweenness centrality. In CiteSpace, nodes with betweenness centrality over 0.1 are called critical nodes. Year, which represents the publication time of the article. Frequency, which represents the number of occurrences. Burst strength, an indicator used to measure articles with sudden rise or sudden decline in citations. Nodes with high burst strength usually represent a shift in a certain research area and need to be focused on, and the burst article points are indicated in red. The nodes and their sizes and colors are first analyzed initially, and further analyzed by betweenness centrality indicators for evaluation. Each node represents an article, and the larger the node, the greater the frequency of the keyword word and the greater the relevance to the topic. Similarly, the color of the node represents time: the warmer the color, the more recent the time; the colder the color, the older the era; the node with a purple outer ring is a node with high betweenness centrality; the color of each annual ring can determine the time distribution: the color of the annual ring represents the corresponding time, and the thickness of one annual ring is proportional to the number of articles within the corresponding time division; the dominant color can reflect the relative concentration of the emergence time; the node The appearance of red annual rings in the annual rings means hot spots, and the frequency of citations has been or is still increasing rapidly.

Large-Scale Assessment

Country analysis.

During the period 2004–2019, a total of 157 countries/territories have conducted research on depression, which is about 67.38% of 233 countries/territories worldwide. This shows that depression is receiving attention from many countries/regions around the world. Figure 1 shows the geographical distribution of published articles for 157 countries. The top 15 countries are ranked according to the number of articles published. Table 1 lists the top 15 countries with the highest number of publications in the field of depression worldwide from 2004 to 2019. These 15 countries include 4 Asian countries (Peoples R China, Japan, South Korea, Turkey), 2 North American countries (USA, Canada), 1 South American country (Brazil), 7 European countries (UK, Germany, Netherlands, Italy, France, Spain, Sweden), and 1 Oceania country (Australia).

Geographical distributions of publications, 2004–2019.

The top 15 productive countries.

TP, total publications; TP R (%), the ratio of the amount of the publications in the country to the publications in the word during 2004–2019; BC, betweenness centrality; TPA (million), total publications in all areas; TPA R (%), the ratio of the amount of publications in depression to publications in all areas .

Overall, the main distribution of these articles is in USA and some European countries, such as UK, Germany, Netherlands, Italy, France, Spain, and Sweden. This means that these countries are more interested and focused on research on depression compared to others. The total number of publications across all research areas in the Web of Science core collection is similar to the distribution of depression research areas, with the trend toward USA, UK, and Peoples R China as leading countries being unmistakable, and USA has been a leader in the field of depression, with far more articles published than any other country. It can also be seen that USA is the country with the highest betweenness centrality in the network of national collaborations analyzed in this paper. USA research in the field of depression is closely linked to global research, and is an important part of the global collaborative network for depression research. As of 2019, the total number of articles published in depression performance research in USA represents 27.13% of the total number of articles published in depression worldwide, which is ~4 times more than the second-place country, UK, which is far ahead of other countries. Peoples R China, as the third most published country, has a dominant number of articles, but its betweenness centrality is 0.01, reflecting the fact that Peoples R China has less collaborative research with other countries, so Peoples R China should strengthen its foreign collaborative research and actively establish global scientific research partnerships to seek development and generate breakthroughs in cooperation. The average percentage of scientific research on depression in each country is about 0.19%, also highlighting the urgent need to address depression as one of the global human health problems. The four Asian countries included in the top 15 countries are Peoples R China, Japan, South Korea, and Turkey, with Peoples R China ranking third with 6.72% of the total number of all articles counted. The distribution may be explained by the fact that Peoples R China is the largest developing country with a rapid development rate as the largest. Along with the steady rise in the country's economic power, people are creating economic benefits and their health is becoming a consumable commodity. The lifetime prevalence and duration of depression varies by country and region ( 2 ), but the high prevalence and persistence of depression worldwide confirms the increasing severity of the disease worldwide. The WHO estimates that more than 300 million people, or 4.4% of the world's population, suffer from depression ( 20 ), with the number of people suffering from depression increasing at a patient rate of 18.4% between 2005 and 2015. Depression, one of the most prevalent mental illnesses of our time, has caused both physical and psychological harm to many people, and it has become the leading cause of disability worldwide today, and in this context, there is increased interest and focus on research into depression. It is expected that a more comprehensive understanding of depression and finding ways to prevent and cope with the occurrence of this disease can help people get rid of the pain and shadow brought by depression, obtain a healthy and comfortable physical and mental environment and physical health, and make Chinese contributions to the cause of human health. Undoubtedly, the occurrence of depressive illnesses in the context of irreversible human social development has stimulated a vigorous scientific research environment on depression in Peoples R China and other developing countries and contributed to the improvement of research capacity in these countries. Moreover, from a different perspective, the geographical distribution of articles in this field also represents the fundamental position of the country in the overall scientific and academic research field.

Growth Trend Analysis

Figure 2 depicts the distribution of 38,433 articles from the top 10 countries in terms of the number of publications and the trend of growth during 2004–2019.

The distribution of publications in top 10 productive countries, 2004–2019. Source: author's calculation. National development classification criteria refer to “Human Development Report 2020” ( 21 ).

First, the number of articles published per year for the top 10 countries in terms of productivity was counted and then the white bar chart in Figure 2 was plotted, with the year as the horizontal coordinate and total publications as the vertical coordinate, showing the distribution of the productivity of articles in the field of depression per year. The total number of publications for the period 2004–2019 is 38,433. Based on the white bars and line graphs in Figure 2 , we can divide this time period into three growth periods. The number of publications in each growth period is calculated based on the number of publications per year. As can be seen from the figure, the period 2004–2019 can be divided into three main growth periods, namely 2004–2009, 2010–2012, and 2013–2019, the first growth period being from 2004 to 2009, the number of publications totaled 6,749, accounting for 23.97% of all publications; from 2010 to 2012, the number of publications totaled 8,236, accounting for 17.56% of all publications; and from 2013 to 2019, the number of publications totaled 22,473, accounting for 58.47% of all publications. Of these, 2006 was the first year of sharp growth with an annual growth rate of 19.97%, 2009 was the second year of sharp growth with an annual growth rate of 17.64%, and 2008 was the third year of sharp growth with an annual growth rate of 16.09%. In the last 5 years, 2019 has also shown a sharp growth trend with a growth rate of 14.34%. Notably, in 2010 and 2013, there was negative growth with the growth rate of −3.39 and −1.45%. In the last 10 years, depression research has become one of the most valuable areas of human research. It can also be noted that the number of publications in the field of depression in these 10 countries has been increasing year after year.

Second, the analysis is conducted from the perspective of national development, divided into developed and developing countries, as shown in the orange bar chart in Figure 2 , where the horizontal coordinate is year and the vertical coordinate is total publications, comparing the article productivity variability between developed and developing countries. The top 10 most productive countries in the field of depression globally include nine developed countries and one developing country, respectively. During the period 2004–2019, 34,631 papers were published in developed countries and 3,802 papers were published in developing countries, with developed countries accounting for 90.11% of the 38,433 articles and developing countries accounting for 9.89%, and the total number of publications in developed countries was about 9 times higher than that in developing countries. During the period 2004–2019, the number of publications in developed countries showed negative growth in 2 years (2010 and 2013) with growth rates of −3.39 and −1.45%, respectively. The rest of the years showed positive growth with growth rates of 1.52% (2005), 19.97 (2006), 8.11 (2007), 12.70 (2008), 17.64 (2009), 13.22 (2011), 10.17 (2012), 16.09 (2014), 10.46 (2015), 4.10 (2016), 1.59 (2017), 3.91 (2018), and 14.34 (2019), showing three periods of positive growth: 2004–2009, 2011–2012, and 2014–2019, with the highest growth rate of 19.97% in 2006. Recent years have also shown a higher growth trend, with a growth rate of 14.34% in 2019. It is worth noting that developing countries have been showing positive growth in the number of articles in the period 2004–2019, with annual growth rates of 81.25 (2005), 17.24 (2006), 35.29 (2007), 19.57 (2008), 65.45 (2009), 13.19 (2010), 29.13 (2011), 54.89 (2012), 12.14 (2013), 36.36 (2014), 14.92 (2015), 16.02 (2016), 10.24 (2017), 21.17 (2018), and 31.37 (2019), with the highest growth rate of 81.25% in 2005. In the field of depression research, developed countries are still the main force and occupy an important position.

Further, 10 countries with the highest productivity in the field of depression are compared, total publications in the vertical coordinate, and the colored scatter plot contains 10 colored dots, representing 10 different countries. On the one hand, the variability of the contributions of different countries in the same time frame can be compared horizontally. On the other hand, it is possible to compare vertically the variability of the growth of different countries over time. Among them, USA, with about 40.29% of the world's publications in the field of depression, has always been a leader in the field of depression with its rich research results. Peoples R China, as the only developing country, ranks 3rd in the top 10 countries with high production of research papers in the field of depression, and Peoples R China's research in the field of depression has shown a rapid growth trend, and by 2016, it has jumped to become the 2nd largest country in the world, with the number of published papers increasing year by year, which has a broad prospect and great potential for development.

Distribution of Periodicals

Table 2 lists the top 15 journals in order of number of journal co-citations. In the field of depression, the top 15 cited journals accounted for 19.06% of the total number of co-citations, nearly one in five of the total number of journal co-citations. In particular, the top 3 journals were ARCH GEN PSYCHIAT (ARCHIVES OF GENERAL PSYCHIATRY), J AFFECT DISORDERS (JOURNAL OF AFFECTIVE DISORDERS), and AM J PSYCHIAT (AMERICAN JOURNAL OF PSYCHIATRY), with co-citation counts of 20,499, 20,302, and 20,143, with co-citation rates of 2.09, 2.07, and 2.06%, respectively. The main research area of ARCH GEN PSYCHIAT is Psychiatry; the main research area of the journal J AFFECT DISORDERS is Neurosciences and Neurology, Psychiatry; AM J PSYCHIAT is the main research area of Psychiatry, and the three journals have “psychiatry” in common, making them the most frequently co-cited journals in the field of depression.

The top 15 co-cited journals.

TP, total publications; TP R (%), the ratio of the amount of the journal's publications to the total publications; BC, betweenness centrality .

Figure 3 shows the network relationship graph of the cited journals from 2004 to 2019. The figure takes g-index as the selection criteria, the scale factor k = 25 to include more nodes. Each node of the graph represents each journal, the node size represents the number of citation frequencies, the label size represents the size of the betweenness centrality of the journal in the network, and the links between journals represent the co-citation relationships. The journal co-citation map reflects the structure of the journals, indicating that there are links between journals and that the journals include similar research topics. These journals included research topics related to neuroscience, psychiatry, neurology, and psychology. The journal with betweenness centrality size in the top 1 was ARCH GEN PSYCHIAT, with betweenness centrality size of 0.07, and impact shadows of 14.48. ARCH GEN PSYCHIAT, has research themes of Psychiatry. In all, these journals in Figure 3 occupy an important position in the journal's co-citation network and have strong links with other journals.

Prominent journals involved in depression. The betweenness centrality of a node in the network measures the importance of the position of the node in the network. Two types of nodes may have high betweenness centrality scores: (1) Nodes that are highly connected to other nodes, (2) Nodes are positioned between different groups of nodes. The lines represent the link between two different nodes.

Distribution of Categories

Table 3 lists the 15 most popular categories in the field of depression research during the period 2004–2019. In general, the main disciplines involved are neuroscience, psychology, pharmacy, medicine, and health care, which are closely related to human life and health issues. Of these, psychiatry accounted for 20.78%, or about one-five, making it the most researched category. The study of depression focuses on neuroscience, reflecting the essential characteristics of depression as a category of mental illness and better reflecting the fact that depression is an important link in the human public health care. In addition, Table 3 shows that the category with the highest betweenness centrality is Neuroscience, followed by Public, Environment & Occupational Health, and then Pharmacology & Pharmacy, with betweenness centrality of 0.16, 0.13, and 0.11, respectively. It is found that the research categories of depression are also centered on disciplines such as neuroscience, public health and pharmacology, indicating that research on depression requires a high degree of integration of multidisciplinary knowledge and integration of information from various disciplines in order to have a more comprehensive and in-depth understanding of the depression.

The top 15 productive categories, 2004–2019.

TP, total publications; TP R (%), the ratio of the amount of the category's publications to the total publications; BC, betweenness centrality .

Figure 4 shows the nine categories with the betweenness centrality in the category research network, with Neuroscience being the node with the highest betweenness centrality in this network, meaning that Neuroscience is most strongly linked to all research categories in the field of depression research. Depression is a debilitating psychiatric disorder with mood disorders. It is worth noting that the development of depression not only has psychological effects on humans, but also triggers many somatic symptoms that have a bad impact on their daily work and life, giving rise to the second major mediating central point of research with public health as its theme. The somatization symptoms of depression often manifest as abnormalities in the cardiovascular system, and many studies have looked at the pathology of the cardiovascular system in the hope of finding factors that influence the onset of depression, mechanisms that trigger it or new ways to treat it. Thus, depression involves not only the nervous system, but also interacts with the human cardiovascular system, for example, and the complexity of depression dictates that the study of depression is an in-depth study based on complex systems.

Prominent categories involved in depression, 2004–2019. The betweenness centrality of a node in the network measures the importance of the position of the node in the network. Two types of nodes may have high betweenness centrality scores: (1) Nodes that are highly connected to other nodes, (2) Nodes are positioned between different groups of nodes. The lines represent the link between two different nodes.

Author Statistics

The results of the analysis showed that there were many researchers working in the field of depression over the past 16 years, and 63 of the authors published at least 30 articles related to depression. Table 4 lists the 15 authors with the highest number of articles published. It includes the rank of the number of articles published, author, country, number of articles published in depression-related studies, total number of articles included in Web of Science, total number of citations, average number of citations, and H-index. According to the statistics, seven of the top 15 authors are from USA, three from the Netherlands, one from Canada, one from Australia, one from New Zealand, one from Italy, and one from Germany. From this, it can be seen that these productive authors are from developed countries, thus it can be inferred that developed countries have a better research environment, more advanced research technology and more abundant research funding. The evaluation indicators in the author co-occurrence network are frequency, betweenness centrality and time of first appearance. The higher the frequency, i.e., the higher the number of collaborative publications, the more collaboration, the higher the information dissemination rate, the three authors with the highest frequency in this author co-occurrence network are MAURIZIO FAVA, BRENDA W. J. H. PENNINX, MADHUKAR H. TRIVEDI; the higher the betweenness centrality, i.e., the closer the relationship with other authors, the more collaboration, the higher the information dissemination rate, the three authors with the highest betweenness centrality are the three authors with the highest betweenness centrality are MICHAEL E. THASE, A. JOHN RUSH; the time of first appearance, i.e., the longer the influence generated by the author's research, the higher the information dissemination rate; in addition, the impact factor and citations can also reflect the information dissemination efficiency of the authors.

The top 15 authors in network of co-authorship, 2004–2019.

BC, betweenness centrality; TP, total publications; AP, publications in all areas; DP (%), the ratio of the publications about depression in 2004–2019 to the publications about all areas in all times; TC, total citation; CPP (%), citations per publication .

The timezone view ( Figure 5 ) in the author co-occurrence network clearly shows the updates and interactions of author collaborations, for example. All nodes are positioned in a two-dimensional coordinate with the horizontal axis of time, and according to the time of first posting, the nodes are set in different time zones, and their positions are sequentially upward with the time axis, showing a left-to-right, bottom-up knowledge evolution diagram. The time period 2004–2019 is divided into 16 time zones, one for each year, and each circle in the figure represents an author, and the time zone in which the circle appears is the year when the author first published an article in the data set of this study. The closer the color, the warmer the color, the closer the time, the colder the color, the older the era, the thickness of an annual circle, and the number of articles within the corresponding time division is proportional, the dominant color can reflect the relative concentration of the emergence time, the nodes appear in the annual circle of the red annual circle, that is, on behalf of the hot spot, the frequency of being cited was or is still increasing sharply. Nodes with purple outer circles are nodes with high betweenness centrality. The time zone view demonstrates the growth of author collaboration in the field, and it can be found from the graph that the number of author collaborations increases over time, and the frequency of publications in the author collaboration network is high; observe that the thickness of the warm annual rings in the graph is much greater than the thickness of the cold annual rings, which represents the increase of collaboration in time; there are many authors in all time zones, which indicates that there are many research collaborations and achievements in the field, and the field is in a period of collaborative prosperity. The linkage relationship between the sub-time-periods can be seen by the linkage relationship between the time periods, and it can be found from the figure that there are many linkages in the field in all time periods, which indicates that the author collaboration in the field of depression research is strong.

Timezone view of the author's co-existing network in depression, 2004–2019. The circle represents the author, the time zone in which the circle appears is the year in which the author first published in this study dataset, the radius of the circle represents the frequency of appearance, the color represents the different posting times, the lines represent the connections between authors, and the time zone diagram shows the evolution of author collaboration.

Institutional Statistics

Table 5 lists the top 15 research institutions in network of co-authors' institutions. These include 10 American research institutions, two Netherlands research institutions, one UK research institution, one Canadian research institution and one Australian research institution, all of which, according to the statistics, are from developed countries. Of these influential research institutions, 66.7% are from USA. Figure 6 shows the collaborative network with these influential research institutions as nodes. Kings Coll London (0.2), Univ Michigan (0.17), Univ Toronto (0.15), Stanford Univ (0.14), Univ Penn (0.14), Univ Pittsburgh (0.14), Univ Melbourne (0.12), Virginia Commonwealth Univ (0.12), Columbia Univ (0.1), Duke Univ (0.1), Massachusetts Gen Hosp (0.1), Vrije Univ Amsterdam (0.1), with betweenness centrality >0.1. Kings Coll London has a central place in this collaborative network and is influential in the field of depression research. Table 6 lists the 15 institutions with the strong burst strength. The top 3 institutions are all from USA. Univ Copenhagen, Univ Illinois, Harvard Med Sch, Boston Univ, Univ Adelaide, Heidelberg Univ, Univ New South Wales, and Icahn Sch Med Mt Sinai have had strong burst strength in recent years. It suggests that these institutions may have made a greater contribution to the field of depression over the course of this year and more attention could be paid to their research.

The top 15 institutions in network of co-authors' institutions, 2004–2019.

TP, total publications; BC, betweenness centrality .

Prominent institutions involved in depression, 2004–2019. The betweenness centrality of a node in the network measures the importance of the position of the node in the network. Two types of nodes may have high betweenness centrality scores: (1) Nodes that are highly connected to other nodes, (2) Nodes are positioned between different groups of nodes. The lines represent the link between two different nodes.

The top 15 institutions with the strongest citation bursts, 2004–2019.

Burst denote the citation burst strength; blue thin lines denote the whole period of 2004962019, which provide a useful means to trace the development of research focus; the location and length of red thick lines denote the start and end time during the whole period of the bursts and how long the burst lasts .

Summing up the above analysis, it can be seen that the research institutions in USA are at the center of the depression research field, are at the top of the world in terms of quantity and quality of research, and are showing continuous growth in vitality. Research institutions in USA, as pioneers among all research institutions, lead and drive the development of depression research and play an important role in cutting-edge research in the field of depression.

Article Citations

Table 7 lists the 16 articles that have been cited more than 1,000 times within the statistical range of this paper from 2004 to 2019. As can be seen from the table, the most cited article was written by Dowlati et al. from Canada and published in BIOLOGICAL PSYCHIATRY 2010, which was cited 2,556 times. In addition, 11 of these 16 highly cited articles were from the USA. Notably, two articles by Kroenke, K as first author appear in this list, ranked 7th and 11th, respectively. In addition, there are three articles from Canada, one article from Switzerland, and one article from the UK. And interestingly, all of these countries are developed countries. It can be reflected that developed countries have ample research experience and high quality of research in the field of depression research. On the other hand, it also reflects that depression is a key concern in developed countries. These highly cited articles provide useful information to many researchers and are of high academic and exploratory value.

The top 15 frequency cited articles, 2004–2019.

TP, total publications (citations) .

Research Hotspots Ang Frontiers

Keyword analysis.

The keyword analysis of depression yielded the 25 most frequent keywords in Table 8 and the keyword co-occurrence network in Figure 7 . Also, the data from this study were detected by burst, the 25 keywords with the strongest burst strength were obtained in Table 9 . These results bring out the popular and cutting-edge research directions in the field clearly.

Top 25 frequent keywords in the period of 2004–2019.

Count, number of times the article has been cited; BC, betweenness centrality .

Keyword co-occurrence network in depression, 2004–2019.

Top 25 keywords with strongest citation bursts in the period of 2004–2019.

Burst denote the citation burst strength; blue thin lines denote the whole period of 2004–2019, which provide a useful means to trace the development of research focus; the location and length of red thick lines denote the start and end time during the whole period of the bursts and how long the burst lasts .

The articles on depression during 2004–2019 were analyzed in 1-year time slices, and the top 25 keywords with the highest frequency of occurrence were selected from each slice to obtain the keyword network shown in Table 8 . The top 25 keywords with the highest frequencies were: symptom, disorder, major depression, prevalence, meta-analysis, anxiety, risk, scale, association, quality of life, health, risk factor, stress, validity, validation, mental health, women, double blind, brain, population, disease, impact, primary care, mood, and efficacy. High-frequency nodes respond to popular keywords and are an important basis for the field of depression research.

Figure 7 shows the co-occurrence network mapping of keywords regarding depression research. Each circle in the figure is a node representing a keyword, and the greater the betweenness centrality, the more critical the position of the node in the network. The top 10 keywords in terms of betweenness centrality are: symptom (0.6), major depression (0.28), prevalence (0.27), disorder (0.25), double blind (0.18), risk factor (0.12), stress (0.11), children (0.1), schizophrenia (0.1), and expression (0.1). Nodes with high betweenness centrality reflect that the keyword forms a co-occurrence relationship with multiple other keywords in the domain. A higher betweenness centrality indicates that it is more related to other keywords, and therefore, the node plays an important role in the study. Relatively speaking, these nodes represent the main research directions in the field of depression; they are also the key research directions in this period, and to a certain extent, represent the research hotspots in this period.

Burst detection was performed on the keywords, and the 25 keywords with the strongest strength were extracted, as shown in Table 9 . These keywords contain: fluoxetine, community, follow up, illness, psychiatric disorder, dementia, trial, placebo, disability, serotonin reuptake inhibitor, myocardial infarction, hospital anxiety, antidepressant treatment, late life depression, United States, epidemiology, major depression, model, severity, adolescent, people, prefrontal cortex, management, meta-analysis, and expression. The keywords that burst earlier include fluoxetine (2004), community (2004), follow up (2004), illness (2004), and psychiatric disorder (2004), are keywords that imply that researchers focused on themes early in the field of depression. As researchers continue to explore, the study of depression is changing day by day, and the keywords that have burst in recent years are people (2015), prefrontal cortex (2016), management (2016), meta-analysis (2017), and expression (2017). Reflecting the fact that depression research in recent years has mainly focused on human subjects, the focus has been on the characterization of populations with depression onset. The relationship between depression and the brain has aroused the curiosity of researchers, what exactly are the causes that trigger depression and what are the effects of depression for the manifestation of depression have caused a wide range of discussions in the research community, and the topics related to it have become the most popular studies and have been the focus of research in recent years. All of these research areas showed considerable growth, indicating that research into this area is gaining traction, suggesting that it is becoming a future research priority. The keywords with the strongest burst strength are fluoxetine (111.2), community (110.08), antidepressant treatment (94.28), severity (88.35), meta-analysis (86.42), people (85.33), and follow up (84.46). The rapid growth of research based on these keywords indicates that these topics are the most promising and interesting. The keywords that has been around the longest burst are follow up (2004–2013), model (2013–2019), hospital anxiety (2008–2013), severity (2014–2019), and psychiatric disorder (2004–2008), researchers have invested a lot of research time in these research directions, making many research results, and responding to the exploratory value and significance of research on these topics. At the same time, the longer duration of burst also proves that these research directions have research potential and important value.

Research Hotspots

Hotspots must mainly have the characteristics of high frequency, high betweenness centrality, strong burst, and time of emergence can be used as secondary evaluation indicators. The higher the number of occurrences, the higher the degree of popularity and attention. The higher betweenness centrality means the greater the influence and the higher the importance. Nodes with strong burst usually represent key shift nodes and need to be focused on. The time can be dynamically adjusted according to the target time horizon of the analysis. Thus, based on the results of statistical analysis, it is clear that the research hotspots in the field of depression can be divided into four main areas: etiology (external factors, internal factors), impact (quality of life, disease symptoms, co-morbid symptoms), treatment (interventions, drug development, care modalities), and assessment (population, size, symptoms, duration of disease, morbidity, mortality, effectiveness).

Risk factors for depression include a family history of depression, early life abuse and neglect, and female sexuality and recent life stressors. Physical illnesses also increase the risk of depression, particularly increasing the prevalence associated with metabolic (e.g., cardiovascular disease) and autoimmune disorders.

Research on the etiology of depression can be divided into internal and external factors. In recent years, researchers have increasingly focused on the impact of external factors on depression. Depression is influenced by environmental factors related to social issues, such as childhood experiences, social interactions, and lifestyles. Adverse childhood experiences are risk factors for depression and anxiety in adolescence ( 37 ) and are a common pathway to depression in adults ( 38 ). Poor interpersonal relationships with classmates, family, teachers, and friends increase the prevalence of depression in adolescents ( 39 ). Related studies assessed three important, specific indicators of the self-esteem domain: social confidence, academic ability, and appearance ( 40 ). The results suggest that these three dimensions of self-esteem are key risk factors for increased depressive symptoms in Chinese adolescents. The vulnerability model ( 41 ) suggests that low self-esteem is a causal risk factor for depression, and low self-esteem is thought to be one of the main causes of the onset and progression of depression, with individuals who exhibit low self-esteem being more likely to develop social anxiety and social withdrawal, and thus having a sense of isolation ( 42 ), which in turn leads to subsequent depression. Loneliness predicts depression in adolescents. Individuals with high levels of loneliness experience more stress and tension from psychological and physical sources in their daily lives, which, combined with insufficient care from society, can lead to depression ( 43 ). A mechanism of association exists between life events and mood disorders, with negative life events being directly associated with depressive symptoms ( 44 ). In a cross-sectional study conducted in Shanghai, the prevalence of depression was higher among people who worked longer hours, and daily lifestyle greatly influenced the prevalence of depression ( 45 ). A number of studies in recent years have presented a number of interesting ideas, and they suggest that depression is related to different environmental factors, such as temperature, sunlight hours, and air pollution. Environmental factors have been associated with suicidal behavior. Traffic noise is a variable that triggers depression and is associated with personality disorders such as depression ( 46 ). The harmful effects of air pollution on mental health, inhalation of air pollutants can trigger neuroinflammation and oxidative stress and induce dopaminergic neurotoxicity. A study showed that depression was associated with an increase in ambient fine particulate matter (PM2.5) ( 47 ).

Increased inflammation is a feature of many diseases and even systemic disorders, such as some autoimmune diseases [e.g., type 1 diabetes ( 48 ) or rheumatoid arthritis ( 49 )] and infectious diseases [e.g., hepatitis and sepsis ( 50 )], are associated with an inflammatory response and have been found to increase the risk of depression. A growing body of evidence supports a bidirectional association between depression and inflammatory processes, with stressors and pathogens leading to excessive or prolonged inflammatory responses when combined with predisposing factors (e.g., childhood adversity and modifying factors such as obesity). The resulting illnesses (e.g., pain, sleep disorders), depressive symptoms, and negative health (e.g., poor diet, sedentary lifestyle) may act as mediating pathways leading to inflammation and depression. In terms of mechanistic pathways, cytokines induce depression by affecting different mood-related processes. Elevated inflammatory signals can dysregulate the metabolism of neurotransmitters, damaging neurons, and thus altering neural activity in the brain. In addition cytokines can modulate depression by regulating hormone levels. Inflammation can have different effects on different populations depending on individual physiology, and even lower levels of inflammation may have a depressive effect on vulnerable individuals. This may be due to lower parasympathetic activity, poorer sensitivity to glucocorticoid inhibitory feedback, a greater response to social threat in the anterior oral cortex or amygdala and a smaller hippocampus. Indeed, these are all factors associated with major depression that can affect the sensitivity to the inhibitory consequences of inflammatory stimuli.

Depression triggers many somatization symptoms, which can manifest as insomnia, menopausal syndrome, cardiovascular problems, pain, and other somatic symptoms. There is a link between sleep deprivation and depression, with insomnia being a trigger and maintenance of depression, and more severe insomnia and chronic symptoms predicting more severe depression. Major depression is considered to be an independent risk factor for the development of coronary heart disease and a predictor of cardiovascular events ( 51 ). Patients with depression are extremely sensitive to pain and have increased pain perception ( 52 ) and is associated with an increased risk of suicide ( 53 , 54 ), and generally the symptoms of these pains are not relieved by medication.

Studies have shown that depression triggers an inflammatory response, promoting an increase in cytokines in response to stressors vs. pathogens. For example, mild depressive symptoms have been associated with an amplified and prolonged inflammatory response ( 55 , 56 ) following influenza vaccination in older adults and pregnant women. Among women who have recently given birth, those with a lifetime history of major depression have greater increases in both serum IL-6 and soluble IL-6 receptors after delivery than women without a history of depression ( 57 ). Pro-inflammatory agents, such as interferon-alpha (IFN-alpha), for specific somatization disorders [e.g., hepatitis C or malignant melanoma ( 58 , 59 )], although effective for somatic disorders, pro-inflammatory therapy often leads to psychiatric side effects. Up to 80% of patients treated with IFN-α have been reported to suffer from mild to moderate depressive symptoms.

Clinical trials have shown better antidepressant treatment with anti-inflammatory drugs compared to placebo, either as monotherapy ( 60 , 61 ) or as an add-on treatment ( 62 – 65 ) to antidepressants ( 66 , 67 ). However, findings like whether NSAIDs can be safely used in combination with antidepressants are controversial. Patients with depression often suffer from somatic co-morbidities, which must be included in the benefit/risk assessment. It is important to consider the type of medication, duration of treatment, and dose, and always balance the potential treatment effect with the risk of adverse events in individual patients. Depression, childhood adversity, stressors, and diet all affect the gut microbiota and promote gut permeability, another pathway that enhances the inflammatory response, and effective depression treatment may have profound effects on mood, inflammation, and health. Early in life gut flora colonization is associated with hypothalamic-pituitary-adrenal (HPA) axis activation and affects the enteric nervous system, which is associated with the risk of major depression, gut flora dysbiosis leads to the onset of TLR4-mediated inflammatory responses, and pro-inflammatory factors are closely associated with depression. Clinical studies have shown that in the gut flora of depressed patients, pro-inflammatory bacteria such as Enterobacteriaceae and Desulfovibrio are enriched, while short-chain fatty acid producing bacteria are reduced, and some of these bacterial taxa may transmit peripheral inflammation into the brain via the brain-gut axis ( 68 ). In addition, gut flora can affect the immune system by modulating neurotransmitters (5-hydroxytryptamine, gamma-aminobutyric acid, norepinephrine, etc.), which in turn can influence the development of depression ( 69 ). Therefore, antidepressant drugs targeting gut flora are a future research direction, and diet can have a significant impact on mood by regulating gut flora.

As the molecular basis of clinical depression remains unclear, and treatments and therapeutic effects are limited and associated with side effects, researchers have worked to discover new treatment modalities for depression. High-amplitude low-frequency musical impulse stimulation as an additional treatment modality seems to produce beneficial effects ( 70 ). Studies have found electroconvulsive therapy to be one of the most effective antidepressant treatment therapies ( 71 ). Physical exercise can promote molecular changes that lead to a shift from a chronic pro-inflammatory to an anti-inflammatory state in the peripheral and central nervous system ( 72 ). Aromatherapy is widely used in the treatment of central nervous system disorders ( 73 ). By activating the parasympathetic nervous system, qigong can be effective in reducing depression ( 74 ). The exploration of these new treatment modalities provides more reference options for the treatment of depression.

Large-scale assessments of depression have found that the probability of developing depression varies across populations. Depression affects some specific populations more significantly, for example: adolescents, mothers, and older adults. Depression is one of the disorders that predispose to adolescence, and depression is associated with an increased risk of suicide among college students ( 75 ). Many women develop depression after childbirth. Depression that develops after childbirth is one of the most common complications for women in the postpartum period ( 76 ). The health of children born to mothers who suffer from postpartum depression can also be adversely affected ( 77 ). Depression can cause many symptoms within the central nervous system, especially in the elderly population ( 78 ).

Furthermore, one of the most consistent findings of the association between inflammation and depression is the elevated levels of peripheral pro-inflammatory markers in depressed individuals, and peripheral pro-inflammatory marker levels can also be used as a basis for the assessment of depressed patients. Studies have shown that the following pro-inflammatory markers have been found to be at increased levels in depressed individuals: CRP ( 79 , 80 ), IL-6 ( 22 , 79 , 81 , 82 ), TNF–α, and interleukin-1 receptor antagonist (IL-1ra) ( 79 , 82 ), however, this association is not unidirectional and the subsequent development of depression also increases pro-inflammatory markers ( 82 , 83 ). These biomarkers are of great interest, and depressed patients with increased inflammatory markers may represent a relatively drug-resistant population.

Frontier Analysis

The exploration and analysis of frontier areas of depression were based on the results of the analysis of the previous section on keywords. According to the evaluation index and analysis idea of this study, the frontier research topics need to have the following four characteristics: low to medium frequency, strong burst, high betweenness centrality, and the research direction in recent years. Therefore, combining the results of keyword analysis and these characteristics, it can be found that the frontier research on depression also becomes clear.

Research on Depression Characterized by Psychosexual Disorders

Exploration of biological mechanisms based on depression-associated neurological disorders and analysis of depression from a neurological perspective have always been the focus of research. Activation of neuroinflammatory pathways may contribute to the development of depression ( 84 ). A research model based on the microbial-gut-brain axis facilitates the neurobiology of depression ( 85 ). Some probiotics positively affect the central nervous system due to modulation of neuroinflammation and thus may be able to modulate depression ( 86 ). The combination of environmental issues and the neurobiological study of depression opens new research directions ( 46 ).

Research on Relevant Models of Depression

How to develop a model that meets the purpose of the study determines the outcome of the study and has become the direction that researchers have been exploring in recent years. Martínez et al. ( 87 ) developed a predictive model to assess factors that modify the treatment pathway for postpartum depression. Nie et al. ( 88 ) extended the work on predictive modeling of treatment-resistant depression to establish a predictive model for treatment-resistant depression. Rational modeling methods and behavioral testing facilitate a more comprehensive exploration of depression, with richer studies and more scientifically valid findings.

Research and Characterization of the Depressed Patient Population

Current research on special groups and depression has received much attention. In a study of a group of children, 4% were found to suffer from depression ( 89 ). The diagnosis and treatment of mental health disorders is an important component of pediatric care. Second, some studies of populations with distinct characteristics have been based primarily on female populations. Maternal perinatal depression is also a common mental disorder with a prevalence of over 10% ( 90 ). In addition, geriatric depression is a chronic and specific disorder ( 91 ). Studies based on these populations highlight the characteristics of the disorder more directly than large-scale population explorations and are useful for conducting extended explorations from specific to generalized.

Somatic Comorbidities Associated With Depression

Depression often accompanies the onset and development of many other disorders, making the study of physical comorbidities associated with depression a new landing place for depression research. Depression is a complication of many neurological or psychopathological disorders. Depression is a common co-morbidity of glioblastoma multiforme ( 92 ). Depression is an important disorder associated with stroke ( 93 ). Chronic liver disease is associated with depression ( 94 ). The link between depressive and anxiety states and cancer has been well-documented ( 95 ). In conclusion, depression is associated with an increased risk of lung, oral, prostate, and skin cancers, an increased risk of cancer-specific death from lung, bladder, breast, colorectal, hematopoietic system, kidney, and prostate cancers, and an increased risk of all-cause mortality in lung cancer patients. The early detection and effective intervention of depression and its complications has public health and clinical implications.

Research on Mechanisms of Depression

Research based on the mechanisms of depression includes the study of disease pathogenesis, the study of drug action mechanisms, and the study of disease treatment mechanisms. Research on the pathogenesis of depression has focused more on the study of the hypothalamic-pituitary-adrenal axis. Social pressure can change the hypothalamic-pituitary-adrenal axis ( 96 ). Studies on the mechanism of action of drugs are mostly based on their effects on the central nervous system. The antidepressant effects of Tanshinone IIA are mediated by the ERK-CREB-BDNF pathway in the hippocampus of mice ( 97 ). Research on the mechanisms of depression treatment has also centered on the central nervous system. It has been shown that the vagus nerve can transmit signals to the brain that can lead to a reduction in depressive behavior ( 98 ).

In this study, based on the 2004–2019 time period, this wealth of data is effectively integrated through data analysis and processing to reproduce the research process in a particular field and to co-present global trends in homogenous fields while organizing past research.

Journals that have made outstanding contributions in this field include ARCH GEN PSYCHIAT, J AFFECT DISORDERS and AM J PSYCHIAT. PSYCHIATRY, NEUROSCIENCES & NEUROLOGY and CLINICAL NEUROLOGY are the three most popular categories. The three researchers with the highest number of articles were MAURIZIO FAVA (USA), BRENDA W. J. H. PENNINX (NETHERLANDS) and MADHUKAR H TRIVEDI (USA). Univ Pittsburgh (USA), Kings Coll London (UK) and Harvard Univ (USA) are three of the most productive and influential research institutions. A Meta-Analysis of Cytokines in Major Depression, Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: Implications for clinical practice and Deep brain stimulation for treatment-resistant depression are key articles. Through keyword analysis, a distribution network centered on depression was formed. Although there are good trends in the research on depression, there are still many directions to be explored in depth. Some recommendations regarding depression are as follows.

(1) The prevention of depression can be considered by focusing on treating external factors and guiding the individual.

Faced with the rising incidence of depression worldwide and the difficulty of treating depression, researchers can think more about how to prevent the occurrence of depression. Depressed moods are often the result of stress, not only social pressures on the individual, but also environmental pressures in the developmental process, which in turn have an unhealthy relationship with the body and increase the likelihood of depression. The correlation between external factors and depression is less well-studied, but the control of external factors may be more effective in the short term than in the long term, and may be guided by self-adjustment to avoid major depressive disorder.

(2) The measurement and evaluation of the degree of depression should be developed in the direction of precision.

In the course of research, it has been found that the Depression Rating Scale is mostly used for the detection and evaluation of depression. This kind of assessment is more objective, but it still lacks accuracy, and the research on measurement techniques and methods is less, which is still at a low stage. Patients with depression usually have a variety of causes, conditions, and duration of illness that determine the degree of depression. Therefore, whether these scales can truly accurately measure depression in depressed patients needs further consideration. Accurate measurement is an important basis for evidence-based treatment of depression, and thus how to achieve accurate measurement of depression is a research direction that researchers can move toward.

Therefore, there is an urgent need for further research to address these issues.

A systematic analysis of research in the field of depression in this study concludes that the distribution of countries, journals, categories, authors, institutions, and citations may help researchers and research institutions to establish closer collaboration, develop appropriate publication plans, grasp research hotspots, identify valuable research ideas, understand current emerging research, and determine research directions. In addition, there are still some limitations that can be overcome in future work. First, due to the lack of author and address information in older published articles, it may not be possible to accurately calculate their collaboration; second, although the data scope of this paper is limited to the Web of Science, it can adequately meet our objectives.

Data Availability Statement

Author contributions.

HW conceived and designed the analysis, collected the data, performed the analysis, and wrote the paper. XT, XW, and YW conceived and designed the analysis. All authors contributed to the article and approved the submitted version.

This work was supported by the National Natural Science Foundation of China under Grant No. 81973495.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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163 In Depth Depression Research Topics To Use

Your professor probably wants every student to write an amazing research paper on depression. We know; that expectations are high. If you want to get a top grade, then you need to learn how to find the best depression research topics possible. Your teacher wants to read something interesting. He wants to see that you have dedicated enough time and effort to find an original idea. Bottom line, you need to make sure your topic is unique and highly interesting. You need to write the essay perfectly as well.

Remember, a good topic can earn you some bonus points. Why would you want to miss out on these when we have a list of 163 depression research topics right here on this page? Did you know that our list of topics is free to use as you see fit? You are allowed to reword any of our topics, as long as it helps you write a great essay. Also, we will never ask a student to give us any credit for using any of our ideas. Our company is here to help as many students as possible get the best possible grades on their difficult research papers on depression.

What to Write About in Your Depression Research Papers?

So, what can you write about in your next depression research papers? We will assume you are in psychology class for this blog post, even though any student can write a research paper about depression . We all know what depression is. It’s a serious medical condition that affects the way people act, feel and even think negatively. However, you could discuss the differences between depression and sadness or even other medical conditions.

Another great idea is to talk about the different types of depression. You can compare them, of course. Postpartum depression, major depressive disorder, bipolar disorder, and mania – are just some of the things you can talk about with depression.

Next, you can talk about the many causes of depression, as well as the important signs and symptoms of this medical problem. Another interesting idea would be to talk about people who are most at risk of depression (and discuss the risk factors that lead to depression).

Of course, you could also discuss modern methods of diagnosing depression, as well as some of the most important or prominent treatment options for this medical issue. And remember, don’t be afraid to write your depression research papers on controversial topics. We have some very interesting ideas in our list of 163 awesome depression topics. Check them out below:

Interesting Depression Research Questions

Let’s start our list with the most interesting depression research questions possible. Check out these ideas and pick one right now:

• Discuss the effects of cognitive-behavioral group therapy on depression
• Depression leads to low self-esteem
• Analyze the effects of art therapy on depression
• The effects of depression on social life
• The link between social media and depression
• Research the top 3 causes of depression
• Reasons to take depression very seriously
• Depression in veterans in the United States
• Music therapy and its effects on depression

Research Paper About Depression For Middle School

Yes, even middle school children can write a paper about depression. Here are some ideas for a research paper about depression in middle school:

• What is depression?
• Compare depression with sadness
• What causes depression?
• Discuss the symptoms of depression
• How can depression be diagnosed?
• Best treatments for depression in the UK
• What is a major depressive disorder?
• Talk about depression in autistic children
• Negative effects of Facebook on people suffering from depression
• Health problems associated with depression

Teen Depression Research Paper

Want to write an awesome teen depression research paper? Check out these ideas and pick the one you like the most:

• Analyze the causes of depression in teens in the UK
• Methods to treat depression in teenagers
• Effects of physical activity on depressive teens
• Depression and anxiety in teens in the US
• Teen depression caused by the Covid 19 pandemic
• Symptoms of depression in young adults
• Why are teens prone to depression?
• Effects of depression on school activities

Psychology Research Topics

Do you want to write about depression and psychology? We have some of the best psychology research topics on the Internet right here:

• The psychological effects of depression
• Discuss the loss of interest in fun activities
• Hallucinations caused by the major depressive disorder
• Discuss the mental status examination procedure
• The effects of alcohol abuse on depression
• How does depression cause delusions?
• Why is depression so widespread in Japan?
• Analyze the monoamine theory as it relates to depression
• Discuss the Limbic Cortical Model for diagnosing depression
• The most effective depressive disorder diagnosis in 2022

Diagnosing Depression Topics

It’s not easy to write about diagnosing depression, but you can do it. Fortunately for you, we have some excellent diagnosing depression topics below:

• An in-depth look at the symptoms of depression
• A family history of depression
• Brain imaging for diagnosing depression
• The Beck Depression Inventory: Diagnosing Depression
• Drug use: a factor that causes depression
• Analyze the Hamilton Rating Scale for Depression
• Keeping an eye on TSH and Thyroxine levels
• The link between hypogonadism and depression
• Cognitive testing for diagnosing depression
• The differences between depression and dementia

Causes of Depression Ideas

Talking about the many causes of depression can be a very interesting endeavor. Check out the following causes of depression ideas:

• Discuss the biopsychosocial model of depression
• Analyze the diathesis-stress model of depression
• The role of genetics in developing depression
• Childhood abuse and its effect on depression
• Genetic factors that influence the onset of depression
• An in-depth look at the 5-HTTLPR gene
• The link between HIV/AIDS and depression
• Discuss the seasonal affective disorder
• Can B2, B6, and B12 deficiency cause depression?

Most Interesting Psychology Topics

When you are looking for the most interesting psychology topics on the Web, you should visit this page directly. Here are our latest ideas:

• Social anxiety and its effects on depression
• Coping with depression as an autistic person
• Emotional abuse and its effects on depression
• Can financial problems cause depression?
• Love problems causing depression
• Talk about the early signs of depression in children
• Is domestic violence a cause of depression?
• Top 3 ways to treat the major depressive disorder
• Bullying and cyberbullying: two of the causes of depression
• Changes in brain activity in people suffering from depression

Drugs and Depression Ideas

Looking to write about drugs and how they relate to depression? Here are some amazing drugs and depression ideas for you:

• The link between drugs and depression
• Drug abuse leading to depression
• Best 3 drugs used to treat depression
• Using sertraline (Zoloft) to mitigate depression symptoms
• The pros and cons of fluoxetine (Prozac or Sarafem)
• Negative effects of citalopram (Celexa)
• How escitalopram (Lexapro) treats the symptoms of depression
• Prescribing paroxetine (Paxil or Brisdelle) for depression
• Dangerous health effects of taking fluvoxamine (Luvox) for depression
• Addiction problems with anti-depressive medication

Mental Health Research Paper Topics

Depression and mental health are closely related, so why not pick one of our awesome mental health research paper topics:

• The brain chemistry behind depression
• Changes in brain activity during a depressive episode
• Sleep problems caused by depression
• Tiredness: a feeling that never goes away
• What causes irritability and anger in patients diagnosed with depression?
• Headaches as a symptom of depression
• Chronic body aches and depression
• Is depression a mood disorder?
• Differences between depression and bipolar disorder
• Compare and contrast depression and the cyclothymic disorder

Topics for a Depression Presentation

Are you looking for the most interesting topics for a depression presentation? Don’t hesitate to pick any of these topics right now:

• The 3 main causes of depression in the United States
• Covid-19 induced depression among teenagers in the UK
• The symptoms of the major depressive disorder
• Physical or sexual abuse as a cause of depression
• Is depression affected by age?
• Medications that cause depression among the elderly
• How genes make some people more prone to depression
• Depression: A feeling of hopelessness that never goes away
• Signs you may be suffering from a mild case of depression
• The link between depression and memory loss

Depression Treatment Topics

Writing about various treatments for depression may not be an easy thing to do, but it’s certainly interesting. Here are some nice depression treatment topics:

• Discuss three types of treatments for depression
• Compare 4 of the most important drugs that alleviate depression symptoms
• Antidepressants: the good, the bad, the ugly
• Prescribing Adapin (doxepin) for depression
• Major side effects of Anafranil (clomipramine)
• Addiction problems with Aplenzin (bupropion)
• Medicinal marijuana and its effects on depression
• Physical exercise as a depression treatment
• The best mental health apps in 2022
• Benefits of cognitive-behavioral therapy (CBT)
• What is the role of a mental health team?

Anxiety Research Paper Topics

Looking for the best anxiety research paper topics a student could ever wish for? Check out these ideas and choose the best one for your needs:

• The link between anxiety and depression
• Is anxiety the same as depression?
• What is anxiety?
• Why is anxiety dangerous?
• The symptoms of anxiety
• Treating anxiety in an effective way
• Covid-19-induced anxiety attacks
• Is depression a side-effect of anxiety?
• The emotions that trigger anxiety attacks
• Analyze the 4 levels of anxiety

Depression Symptoms Research Paper Topics

Our depression symptoms research paper topics are the absolute best – and the list has been recently updated. You can find our latest ideas below:

• Are you having a helpless outlook on your life?
• Is hating yourself a sign of depression?
• Symptoms of the Seasonal Affective Disorder
• Feeling tearful: is it a sign I am depressive?
• Inappropriate guilt and worthlessness: 2 of the symptoms of depression
• Low mood and sadness
• The symptoms of the Premenstrual Dysphoric Disorder
• Can depression lower your self-esteem?
• Can depression make you intolerant of other people?
• The symptoms of the major depressive syndrome

Good Research Topics for College

If you are a college student looking for the most interesting good research topics for college, you have arrived at the right place. Take a look at these awesome ideas:

• Effects of CBT (Cognitive Behavioral Therapy)
• An in-depth look at the CDI measure
• Analyze catatonic depression
• Psychological evaluation to detect early signs of depression
• Alcoholism and its effects on depression
• Depression in law enforcement officers in the United States
• Cognitive therapy benefits

Controversial Topics on Depression

If you are looking for some controversial topics on depression, you are in luck. Our writers have just updated the list of topics, so you will surely find a unique topic below:

• Prescribing antidepressant medication to depression patients
• Forced treatment for people going through a major depression episode
• Addiction caused by antidepressant medication
• Depression on social media
• The lack of family support

Depression Topics for High School

High school students should pick topics that are a bit easier to write about. Here is our list of depression topics for high school students:

• The effects of social media on depression
• Childhood depression causes
• Write about the ways you can heal depression
• Can family help people suffering from depression?
• Physical activity as a cure for depression
• Depression caused by stress in the workplace

Depression and Sociology Ideas

Searching for some exceptional depression and sociology ideas? We have plenty of them below. Simply pick the one you like and start writing your paper today:

• Social problems caused by depression
• Feelings of loneliness
• Anger towards other people
• Irritability and frustration feelings
• The loss of interest in enjoyable activities

Coronavirus and Depression Ideas

Our writers have come up with some amazing coronavirus and depression ideas. You can check them out in the list below (and pick any of them for your next essay, of course):

• The effects of the pandemic on depression
• Analyze the rise in depression cases in the US
• Analyze the rise of depression cases in the United Kingdom
• Depression caused by the Covid 19 virus
• Problems with the lack of human interaction

Depression Topics for a Quick Paper

If you don’t want to spend too much time working on your essay, we recommend you pick one of our depression topics for a quick paper. Here are our best ideas so far:

• Any way to cure depression?
• List the major depression symptoms
• Explain how depression occurs
• The best therapy for depressive people
• Depression’s effect on your job
• Discuss postpartum depression
• Comorbid disorders associated with depression
• Yoga to alleviate depression symptoms

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A Systematic Review of Grief and Depression in Adults

Saul Mcleod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul Mcleod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

Learn about our Editorial Process

Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

BSc (Hons) Psychology, MSc Psychology of Education

Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.

Although grief is a normal response to loss, it is a complex and multidimensional process that can involve a wide range of distressing symptoms and significantly affect an individual’s functioning. People respond to death in diverse ways, both adaptively and maladaptively, and these reactions are highly personalized. During this time, bereaved individuals engage in tasks such as accepting the reality of the loss, managing emotional distress, adjusting to life without the deceased, and eventually letting go of the emotional attachment to the person who has died.

• This systematic review synthesized findings on depression and grief in adults, aiming to identify specificities of depression in grief and whether grief varies based on the type of loss.
• Factors like gender, education level, socioeconomic status, age of the deceased, cause of death, and time since loss significantly affect grief outcomes and the development of depression.
• The research, while enlightening, has limitations, such as the inability to isolate depression from other grief symptoms in some studies and variation in the types of losses examined.
• Understanding the relationship between grief and depression is universally relevant, as most people will experience the loss of a loved one and may be at risk for negative mental health outcomes.

Grief is a profound life experience that can lead to complications like depression for bereaved individuals. Depressive symptoms place a heavy burden on societal resources (Moreira et al., 2023).

Previous research has shown significant overlap between grief and depression in terms of symptoms, characteristics, family history, and response to medication (Kendler et al., 2008; Lamb et al., 2010; Zisook & Kendler, 2007; Zisook et al., 2001, 2007).

Increasing evidence indicates losing a loved one can lead to prolonged grief disorder and depressive symptoms/syndromes (Bonanno et al., 2007; Prigerson et al., 2009; Shear et al., 2011).

This systematic review aimed to synthesize findings on depression and grief to identify specificities of depression in grief and factors influencing grief outcomes.

Understanding the distinctions between grief and depression has important implications for the mental and physical health of bereaved individuals.

This systematic review followed PRISMA guidelines. Studies were identified through searching EBSCO, PubMed, and Web of Science databases.

• Search terms included variations of “depression,” “grief,” “bereavement,” and “mourning.”
• Inclusion criteria were having a grief sample and depression measures.
• Exclusion criteria included case studies, theoretical essays, reviews, instrument validations, not examining grief and depression, non-bereaved samples, and low study quality.

41 studies published between 1939-2021 were included. Two independent reviewers selected studies with almost perfect agreement (Cohen’s κ = .86). Study quality was assessed with the Quantitative Research Assessment Tool.

The search equation used variations of the key terms in the databases:

• EBSCO: TI (depress* OR mood disorder) AND TI (mourn* OR grief OR bereave* OR death OR loss)
• PubMed: (depress [Title] OR mood disorder[Title]) AND (mourn [Title] OR grief[Title] OR bereave* OR death[Title] OR loss)
• Web of Science: TI=(depress* OR mood disorder) AND TI=(mourn* OR grief OR bereave* OR death OR loss)

Studies can be grouped into two categories based on time of loss, namely grief during pregnancy or grief of a close relative

• After spontaneous abortion, women experienced more grief and depressive symptoms than their male partners. Childless women and those with infertility had higher grief.
• After miscarriage, 26.6% of women who met grief criteria also had depressive episodes.
• Grief symptoms decreased over a year after pregnancy loss, but depressive symptoms increased around 6 months for women who experienced sudden losses.
• Negative cognitions predicted grief 16-19 months after a perinatal death. Having more children was associated with less depression.

Early Childhood

• Infant death was associated with increased depression and psychosis-like experiences in mothers.
• 34% of caregivers had clinically significant depressive symptoms 3 months after losing a loved one.

Childhood/Adolescence

• 30% of bereaved parents had depression 5 years after a child’s cancer death vs. 14% of parents whose child survived. Mothers had more depression than fathers.
• Parental grief was predicted more by couple-level factors while depression was predicted more by individual factors. Traumatic child deaths led to more parental grief.

Adults/Elderly

• In gay men who lost a friend to AIDS, grief and depression were distinct. Depression was predicted by negative affect, health concerns, and loneliness. Grief was predicted by number of AIDS losses.
• 16% met criteria for complicated grief (CG) 1-2 years after losing a friend/relative. Relationship depth predicted CG while dependence predicted depression.
• Pre-loss grief, being a partner, and low education predicted post-loss CG and depression in caregivers.
• Violent deaths led to more depression, especially in females. CG and depression decreased over time after loss. More years since loss was associated with less depression in elders.

This review provides insights into the complex relationship between grief and depression after different types of losses.

While there is overlap, they emerge as distinct responses – certain factors uniquely predict grief (e.g., relationship depth, couple-level factors), while others uniquely predict depression (e.g., personal vulnerabilities, less time since loss).

Gender, education level, socioeconomic status, age of the deceased, cause of death, and time since loss are significant factors that influence grief outcomes and the development of depression following bereavement.

Research has shown that women often experience more intense grief and depressive symptoms compared to men, particularly in cases of miscarriage or child loss. Lower levels of education and socioeconomic status have been associated with a higher risk of complicated grief and difficulty coping with loss.

The age of the deceased also plays a role, with the loss of a child or younger individual often leading to more severe grief reactions compared to the loss of an older person.

Sudden, traumatic, or violent causes of death, such as accidents, homicide, or suicide, can result in more complicated grief and depression compared to losses due to natural causes or prolonged illness.

Finally, the time elapsed since the loss is a significant factor, as grief and depressive symptoms tend to decrease over time as individuals adjust to their new reality.

However, for some, grief may remain intense and prolonged, leading to complicated grief or persistent depression. Understanding these factors can help identify individuals at higher risk for adverse grief outcomes and inform targeted interventions.

Future research could further examine how the predictors of grief and depression vary depending on kinship to the deceased and expand to include more diverse causes of death.

• Followed PRISMA guidelines for systematic reviews
• Broad search of multiple databases
• Rigorous inclusion/exclusion criteria
• Independent reviewer selection of studies with high inter-rater reliability
• Assessed study quality with a standardized tool
• Examined grief and depression in response to various types of losses across the lifespan

Limitations

• Some included studies could not statistically isolate depression from other grief symptoms
• High variability in the types of losses and kinship of bereaved individuals across studies
• Conclusions may be limited by the demographics of study samples and countries where research was conducted
• Cross-sectional and retrospective designs of some studies prevent causal conclusions

Clinical Implications

The results have significant real-world implications, especially for clinical practice.

Understanding risk factors for intense, prolonged grief and depression can help practitioners identify bereaved clients who may need more support.

For example, those with prior depression/mental health issues, traumatic losses, or fewer coping resources may be more vulnerable.

Screening for complicated grief (CG) is important since it is underpinned more by interpersonal factors and may not respond to depression treatments.

Distinguishing between grief and depression is important for intervention and treatment, as grief is a normal response while depression may be more likely in individuals with certain vulnerabilities. However, some individuals with vulnerabilities may have a decreased ability to grieve.

The findings also suggest value in dyadic and family interventions since couple/family dynamics can influence grief. Gender differences imply the potential benefits of tailoring treatments.

Broadly, the review underscores the need to recognize the long-term impacts of bereavement, as grief and depressive symptoms can persist for years. Societal resources should be allocated to make bereavement support accessible.

More public education on the range of normal grief responses may help destigmatize the grief experience.

Primary reference

Moreira, D., Azeredo, A., Moreira, D. S., Fávero, M., & Sousa-Gomes, V. (2022). Why Does Grief Hurt?.  European Psychologist, 28 (1), 35–52. https://doi.org/10.1027/1016-9040/a000490

Other references

Bonanno, G. A., Neria, Y., Mancini, A., Coifman, K. G., Litz, B., & Insel, B. (2007). Is there more to complicated grief than depression and posttraumatic stress disorder? A test of incremental validity. Journal of Abnormal Psychology, 116 (2), 342–351. https://doi.org/10.1037/0021-843x.116.2.342

Kendler, K. S., Myers, J., & Zisook, S. (2008). Does bereavement-related major depression differ from major depression associated with other stressful life events? American Journal of Psychiatry, 165 (11), 1449-1455. https://doi.org/10.1176/appi.ajp.2008.07111757

Lamb, K., Pies, R., & Zisook, S. (2010). The bereavement exclusion for the diagnosis of major depression: To be or not to be. Psychiatry, 7 (7), 19-25.

Moreira, D., Azeredo, A., Moreira, D.S., Fávero, M., & Sousa-Gomes, V. (2023). Why does grief hurt? A systematic review of grief and depression in adults. European Psychologist, 28 (1), 35-52. https://doi.org/10.1027/1016-9040/a000490

Prigerson, H. G., Horowitz, M. J., Jacobs, S. C., Parkes, C. M., Aslan, M., Goodkin, K., Raphael, B., Marwit, S. J., Wortman, C., Neimeyer, R. A., Bonanno, G. A., Block, S. D., Kissane, D., Boelen, P., Maercker, A., Litz, B. T., Johnson, J. G., First, M. B., & Maciejewski, P. K. (2009). Prolonged grief disorder: Psychometric validation of criteria proposed for DSM-V and ICD-11. PLoS Medicine, 6 (8), Article e1000121. https://doi.org/10.1371/journal.pmed.1000121

Shear, M. K., Simon, N., Wall, M., Zisook, S., Neimeyer, R., Duan, N., Reynolds, C., Lebowitz, B., Sung, S., Ghesquiere, A., Gorscak, B., Clayton, P., Ito, M., Nakajima, S., Konishi, T., Melhem, N., Meert, K., Schiff, M., O’Connor, M., … Keshaviah, A. (2011). Complicated grief and related bereavement issues for DSM-5. Depression and Anxiety, 28 (2), 103–117. https://doi.org/10.1002/da.20780

Zisook, S., & Kendler, K. S. (2007). Is bereavement-related depression different than non-bereavement-related depression?. Psychological Medicine, 37 (6), 779-794. https://doi.org/10.1017/S0033291707009865

Zisook, S., Shuchter, S. R., Pedrelli, P., Sable, J., & Deaciuc, S. C. (2001). Bupropion sustained release for bereavement: Results of an open trial. Journal of Clinical Psychiatry, 62 (4), 227-230. https://doi.org/10.4088/jcp.v62n0403

Zisook, S., Shear, K., & Kendler, K. S. (2007). Validity of the bereavement exclusion criterion for the diagnosis of major depressive episode. World Psychiatry, 6 (2), 102-107.

Keep Learning

• What factors do you think might influence how an individual responds to and copes with the death of a loved one? How could cultural background play a role?
• This review found some gender differences in grief and depression. Why do you think men and women may respond differently to loss? What are the implications for providing support?
• Imagine someone close to you experienced a significant loss one year ago. Based on the findings, what signs might indicate they are struggling with complicated grief and could benefit from professional help?
• The results suggest grief and depression are distinct but overlapping responses. How would you explain the difference between grief and depression to a friend who recently lost a loved one?
• Many of the studies used self-report measures of grief and depression symptoms. What are the strengths and limitations of this type of data? What other methods could provide useful insights?
• No single theory can fully explain the range of grief responses. What are some different theoretical perspectives on the grieving process? How could integrating them help us better understand the complexity of coping with loss?

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• Published: 22 May 2020

Advances in depression research: special issue, 2020, with three research articles by Paul Greengard

• Julio Licinio 1 &
• Ma-Li Wong 1  

Molecular Psychiatry volume  25 ,  pages 1156–1158 ( 2020 ) Cite this article

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There has been stunning progress in depression research, which is reflected in the pages of this special issue of Molecular Psychiatry . Our last special issue was dedicated to stress and behavior; that is one of the key biological pathways leading to depression. Building on our previous special issue, this issue directly addresses depression.

This special depression issue has three articles by the late Nobel laureate Paul Greengard. In the first of those papers, Sagi et al. focus on parvalbumin interneurons, which are a major class of GABAergic neurons, essential for hippocampal dentate gyrus (DG) function [ 1 ]. They demonstrated, in mice, that hippocampal parvalbumin interneurons express functionally silent serotonin 5A receptors, which translocate to the cell membrane and become active upon chronic, but not acute, treatment with a selective serotonin reuptake inhibitor (SSRI). Activation of these serotonergic receptors in these neurons initiates a signaling cascade through which Gi-protein reduces cAMP levels and attenuates protein kinase A and protein phosphatase 2A activities. This results in increased phosphorylation and inhibition of Kv3.1β channels, and thereby reduces the firing of the parvalbumin neurons. Through the loss of this signaling pathway in these neurons, conditional deletion of the serotonin 5A receptor leads to the loss of the physiological and behavioral responses to chronic antidepressants. This illustrates the mechanisms by which serotonergic signaling in DG mediates the effects of antidepressant treatment. The second paper addresses the biological underpinnings of the delayed onset of action of antidepressants, a topic of perennial interest in depression research. The elucidation of those mechanisms might herald the onset of newer, faster acting antidepressants. Oh et al. propose that this therapeutic delay suggests slow adaptive changes in multiple neuronal subtypes and their neural circuits over prolonged periods of drug treatment [ 2 ]. They showed that neuronal activity of hippocampal mossy cells, which are excitatory neurons in the dentate hilus that regulate dentate gyrus activity and function, is enhanced by chronic, but not acute, SSRI administration. Their data established that mossy cells play a crucial role in mediating the effects of chronic antidepressant medication, and their results indicate that compounds that target mossy cell activity would be attractive candidates for the development of new antidepressant medications. In the third paper co-authored by Paul Greengard in this issue, Shuto et al. demonstrated that dopamine D1 receptors in the DG act as a pivotal mediator of antidepressant actions in mice and indicate that stimulation of D1 receptors in the dentate gyrus is a potential adjunctive approach to improve therapeutic efficacy of SSRI antidepressants [ 3 ].

The work by Greengard and collaborators is accompanied by other outstanding papers. Teissier et al. examined changes induced by the stress of chronic maternal separation during the first 2 weeks of postnatal life [ 4 ]. They showed that unbiased mRNA expression profiling in the medial PFC (mPFC) of maternally separated (MS) pups identified an increased expression of myelin-related genes and a decreased expression of immediate early genes. Bidirectional manipulation of neuron excitability in the mPFC during the P2-P14 period had long lasting effects on adult emotional behaviors and on temporal object recognition. These results identify neuronal activity as a critical target of early-life stress and demonstrate its function in controlling both postnatal oligodendrogenesis and adult mPFC-related behaviors.

Most papers in this issue pursue new mechanistic targets with potential impact on depression biology and therapeutics. The paper by Zhang et al. explores the potential role of circRNAs in major depressive disorder (MDD), showing that circular RNA DYM (circDYM) levels were decreased both in the peripheral blood of patients with MDD and in two depressive-like mouse models. Importantly, restoration of circDYM expression significantly attenuated depressive-like behavior and inhibited microglial activation induced by CUS or LPS treatment. Of note, further examination indicated that circDYM functions as an endogenous microRNA-9 (miR-9) sponge to inhibit miR-9 activity, which results in a downstream increase of target-HECT domain E3 ubiquitin protein ligase 1 (HECTD1) expression, an increase of HSP90 ubiquitination, and a consequent decrease of microglial activation [ 5 ]. They conclude that circDYM may be a novel therapeutic target for depression. This research contributes to an emerging and exciting body of work showing that circRNAs can regulate gene expression by influencing the transcription, the mRNA turnover, and translation by sponging RNA-binding proteins and microRNAs [ 6 ].

An additional new antidepressant target is pursued by Tan et al. who studied a promising novel pharmaceutical target, the KCNQ-type potassium channel, which may exert a therapeutic effect via functional changes within the brain reward system, including the ventral striatum [ 7 ]. They assessed the effects of the KCNQ channel opener ezogabine (also known as retigabine) on reward circuitry and clinical symptoms in patients with MDD. Their findings highlight the KCNQ-type potassium channel as a promising target for future drug discovery efforts in mood disorders.

Work by Kin et al. explored the effects of cell encapsulation on the survival rate of grafted cells and showed that encapsulation enhanced the antidepressant effects of mesenchymal stem cells (MSCs) by attenuating depressive-like behavior of Wistar Kyoto (WKY) rats, an animal model of treatment-resistant depression [ 8 ]. They put forward the concept that implantation of encapsulated MSCs into the lateral ventricle exerted antidepressant effects acting via neurogenic pathways, supporting their potential therapeutic role in the treatment of MDD.

It is known that most existing antidepressants block monoamine reuptake by high-affinity transporters in the brain and have slow onset of action and treatment resistance. Orrico-Sanchez et al. reported the development of a prodrug targeting organic cation transporters (OCT), which are atypical monoamine transporters recently implicated in the regulation of mood [ 9 ]. They designed a selective OCT2 blocker, H2-cyanome, which was modified to increase brain penetration. Prolonged administration of H2-cyanome in mice induced positive effects on depressive-like behaviors, including anhedonia, anxiety, social withdrawal, and memory impairment. The authors provide proof-of-concept of antidepressant efficacy of an OCT blocker, and a mechanistic framework for the development of new classes of antidepressants.

Han et al. evaluated the antidepressant effects of immunization with altered peptide ligands of myelin basic protein (MBP)—MBP87–99[A91, A96], MBP87–99[A91], and MBP87–99[R91, A96] in different models of depression and examined the mechanism by which these peptides protect against stress-induced depression [ 10 ]. Their findings indicated that immunization with altered MBP peptide produces prolonged antidepressant-like effects in rats, and the behavioral response is mediated by inflammatory factors (particularly interleukin-6), and p11 signaling in the prelimbic cortex.

Immune mediators are also considered in a study of pharmacological trials. Wittenberg et al. examined the effects of immunomodulatory drugs on depressive symptoms through a mega-analysis of randomized, placebo-controlled clinical trials in inflammatory disorders [ 11 ]. Their findings are many and can be found in their paper. Briefly, they conclude that novel immune-therapeutics can produce antidepressant effects in depressed patients with primary inflammatory disorders that are not entirely explained by treatment-related changes in physical health. The role of inflammatory mediators is also explored by other papers in this issue. In a longitudinal study of urban adults, Beydoun et al. showed that systemic inflammation is associated with depressive symptoms differentially by sex and race [ 12 ]. Felger at al. collected plasma and cerebrospinal fluid (CSF) from unmedicated patients with MDD [ 13 ]. Plasma C-reactive protein (CRP) was correlated with multiple plasma inflammatory markers, and a strong correlation was found between plasma and CSF CRP. CSF CRP in turn correlated with CSF cytokine receptors/antagonists. Clusters of CSF inflammatory markers were associated with high plasma CRP and correlated with depressive symptom severity. They concluded that CRP appears to be a peripheral biomarker that reflects peripheral and central inflammation and seems well-suited for guiding immunotherapies in patients with MDD.

The role of methylation in the genetics of complex disorders is a topic of great interest. We have two papers in this issue on methylation in MDD. Clark et al. associated blood DNA methylation profiles from MDD patients at baseline with MDD status 6 years later [ 14 ]. A resampling approach showed a highly significant association between methylation profiles in blood at baseline and future disease status. Top MWAS results were enriched specific pathways, overlapped with genes found in genome wide association studies (GWAS) of MDD disease status, autoimmune disease and inflammation. The major themes emerging were cellular responses to stress and signaling mechanisms linked to immune cell migration and inflammation. This suggests that an immune signature of treatment-resistant depression is already present at baseline. The authors propose that methylation profiles in blood may present a promising avenue to support clinical decision making by providing empirical information about the likelihood MDD is chronic or will recur in the future. In a pioneering paper, Aberg et al. presented the first large-scale methylome-wide association studies (MWAS) for MDD to identify and replicate methylated loci associated with MDD that are involved in biological functions of likely importance to MDD etiology [ 15 ].

It is expected that not every patient will respond to every treatment. Given the high numbers of existing treatments and MDD patients, predicting individualized treatment response is critically important. Wei et al. provided novel pharmacogenomic evidence to support the role of HTR7 in association with antidepressant response [ 16 ].

The fifteen research articles in this special issue on depression highlight the advances of this field, with immense progress achieved in the elucidation of biological mechanisms and pathways and the exploration of exciting new therapeutic targets. We are particularly honored to have three papers here that are authored by the late Paul Greengard, representing some of his most recent work. Further work from Greengard’s lab will be coming out soon in a future issue of Molecular Psychiatry . In that exciting article, Chottekalapanda et al. put forth a sequential molecular network to track the antidepressant response and provide a new avenue that could be used to accelerate or potentiate antidepressant responses by triggering neuroplasticity [ 17 ]. As we go along, Molecular Psychiatry will continue to publish the most exciting advances in depression research with the aim of expanding the frontiers of knowledge and disseminating robust new strategies for MDD diagnosis and treatment.

Sagi Y, et al. Emergence of 5-HT5A signaling in parvalbumin neurons mediates delayed antidepressant action. Mol Psychiatry. https://doi.org/10.1038/s41380-019-0379-3 (2019).

Oh SJ, et al. Hippocampal mossy cell involvement in behavioral and neurogenic responses to chronic antidepressant treatment. Mol Psychiatry. https://doi.org/10.1038/s41380-019-0384-6 (2019).

Shuto T, et al. Obligatory roles of dopamine D1 receptors in the dentate gyrus in antidepressant actions of a selective serotonin reuptake inhibitor, fluoxetine. Mol Psychiatry. https://doi.org/10.1038/s41380-018-0316-x (2018).

Teissier A, et al. Early-life stress impairs postnatal oligodendrogenesis and adult emotional behaviour through activity-dependent mechanisms. Mol Psychiatry. https://doi.org/10.1038/s41380-019-0493-2 (2019).

Zhang Y, et al. CircDYM ameliorates depressive-like behavior by targeting miR-9 to regulate microglial activation via HSP90 ubiquitination. Mol Psychiatry. https://doi.org/10.1038/s41380-018-0285-0 (2018).

Panda AC. Circular RNAs act as miRNA sponges. Adv Exp Med Biol. 2018;1087:67–79. https://doi.org/10.1007/978-981-13-1426-1_6

Article   CAS   PubMed   Google Scholar  

Tan A, et al. Effects of the KCNQ channel opener ezogabine on functional connectivity of the ventral striatum and clinical symptoms in patients with major depressive disorder. Mol Psychiatry. https://doi.org/10.1038/s41380-018-0283-2 (2018).

Kin K, et al. Cell encapsulation enhances antidepressant effect of the mesenchymal stem cells and counteracts depressive-like behavior of treatment-resistant depressed rats. Mol Psychiatry. https://doi.org/10.1038/s41380-018-0208-0 (2018).

Orrico-Sanchez A, et al. Antidepressant efficacy of a selective organic cation transporter blocker in a mouse model of depression. Mol Psychiatry. https://doi.org/10.1038/s41380-019-0548-4 (2019).

Han Y, et al. Systemic immunization with altered myelin basic protein peptide produces sustained antidepressant-like effects. Mol Psychiatry. https://doi.org/10.1038/s41380-019-0470-9 (2019).

Wittenberg GM, et al. Effects of immunomodulatory drugs on depressive symptoms: A mega-analysis of randomized, placebo-controlled clinical trials in inflammatory disorders. Mol Psychiatry. https://doi.org/10.1038/s41380-019-0471-8 (2019).

Beydoun, MA, et al. Systemic inflammation is associated with depressive symptoms differentially by sex and race: a longitudinal study of urban adults. Mol Psychiatry. https://doi.org/10.1038/s41380-019-0408-2 (2019).

Felger, JC, et al. What does plasma CRP tell us about peripheral and central inflammation in depression? Mol Psychiatry. https://doi.org/10.1038/s41380-018-0096-3 (2018).

Clark, SL, et al. A methylation study of long-term depression risk. Mol Psychiatry. https://doi.org/10.1038/s41380-019-0516-z (2019).

Aberg, KA, et al. Methylome-wide association findings for major depressive disorder overlap in blood and brain and replicate in independent brain samples. Mol Psychiatry. https://doi.org/10.1038/s41380-018-0247-6 (2018).

Wei, YB, et al. A functional variant in the serotonin receptor 7 gene (HTR7), rs7905446 , is associated with good response to SSRIs in bipolar and unipolar depression. Mol Psychiatry. https://doi.org/10.1038/s41380-019-0397-1 (2019).

Chottekalapanda, R, et al. AP-1 controls the p11-dependent antidepressant response. Mol Psychiatry. https://doi.org/10.1038/s41380-020-0767-8 (2020).

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Licinio, J., Wong, ML. Advances in depression research: special issue, 2020, with three research articles by Paul Greengard. Mol Psychiatry 25 , 1156–1158 (2020). https://doi.org/10.1038/s41380-020-0781-x

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Published : 22 May 2020

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DOI : https://doi.org/10.1038/s41380-020-0781-x

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Molecular psychiatry, august 2020: new impact factor, and highlights of recent advances in psychiatry, including an overview of the brain’s response to stress during infection with the severe acute respiratory syndrome coronavirus 2 (sars-cov-2).

• Julio Licinio

Molecular Psychiatry (2020)

Advances in depression research: second special issue, 2020, with highlights on biological mechanisms, clinical features, co-morbidity, genetics, imaging, and treatment

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Day-long workshop in cognitive behavioral therapy found to effectively reduce depression in 16- to 18-year-olds

by King's College London

New research from the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King's College London has found that providing 16- to 18-year-olds with a day-long course in cognitive behavioral therapy (CBT) was both a clinically and cost-effective means of improving their mental health.

The trial , known as Brief Educational workshops in Secondary Schools Trial (BESST) and published in The Lancet Psychiatry , was successfully adapted from the DISCOVER program, which was designed to help adults manage their feelings of stress.

Around 1 in 12 young people in England currently experience anxiety or depression. Despite this, the large majority remain untreated, and almost a quarter (24%) have no contact with specialist Child and Adolescent Mental Health Services (CAMHS).

This study recruited 900 students from 57 schools in England. Half were provided with signposting to mental health services and the standard care their school would usually provide. The other half were invited to a day-long workshop on CBT coping techniques for managing mood, anxiety, and stress, and provided with follow up phone calls to help incorporate those skills into real-life situations.

Researchers found that participants who attended the workshop showed significant improvements in their depression, anxiety, well-being and resilience after a six-month follow up.

Dr. June Brown said, "More than half of adult mental disorders start before the age of 15, and when we approached schools, we found that there was overwhelming number of young people actively seeking support. There is clearly an urgent need for early intervention to ensure that symptoms of poor mental health don't persist and worsen. Our study set out to establish if there was a clinically and cost-effective way to do that at scale.

"One of our main challenges was to adapt an adult therapeutic intervention which would be attractive and engaging for teenagers. In addition, previous studies have either been aimed at all students, some of whom aren't necessarily in need of assistance, while others have taken a more targeted approach that potentially stigmatizes those who might need support. Giving students the opportunity to self-refer means that we work with students who recognize that they'd like help.

"Our study shows that this intervention can be delivered at low cost by mental health professionals who can bridge the gap between schools and CAMHS."

Professor Ben Carter said, "Since the pandemic there is an increased need to support schools and adolescents with their mental health. While we found improvements in depression; anxiety; well-being; and resilience, the largest effect was seen in those students that had higher symptoms of depression at the start of the study, meaning that we reached and improved those students most vulnerable to depression. The ultimate success of this has laid the groundwork for these workshops to be rolled out nationwide to provide an early intervention against depression and anxiety."

Karen Crowe, senior tutor for the sixth form and curriculum leader for psychology at St Nicholas Catholic High School in Cheshire, said, "Our school seeks to prioritize mental well-being and promote strategies that improve students' mental health. We believe it is important to teach students how to become self-regulating individuals who can manage their own stress, which is why the school fully supported the BESST trial. We value techniques that provide students with skills to resolve problems, cope better with expectations, and build confidence, so the trial's aims perfectly complement our school 's mission and ethos."

Olivia Black, a student at St Nicholas Catholic High School who took part in the BESST trial said, "The study gave me new ways to manage my stress and remain productive during my studies. It was such a helpful process that allowed me to develop my personal strategies for maintaining good mental health. The skills and confidence gained from this trial motivated me to help start up our 'breathing space' initiative where sixth formers support younger students with their mental health ."

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• Academic Problems and Skills

How Do Psychologists Decide What to Study?

Personal perspective: psychological research is sometimes, but not always, “me-search.".

Posted May 14, 2024 | Reviewed by Ray Parker

• Find a counsellor to help with academics
• It is sometimes assumed that the personal concerns of the researcher guide psychological research.
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• Connecting new research to existing bodies of research is essential.

There is an old saying among psychological scientists that “Research is me-search.” This means, of course, that people, including psychologists, are drawn to topics that have deep relevance to issues in their own lives.

This old saying certainly rings true as I watch my undergraduate students select topics for their capstone senior research projects: The too-thin young woman who wants to study eating disorders, the student of color who is interested in racism , the child of divorce who desperately wishes to understand how a marriage ending in divorce affects children.

Given that I am best known for my work on creepiness and gossip, this old truism about “me-search” stalks and haunts me whenever I do a media interview about my research on either of these topics. The interviewer always wants to know what it is, exactly, that enticed me to devote years of my life to studying such a thing. There seems to be an assumption that I have a personal story to tell about a lifetime of being plagued by gossip or about my fear that I am chronically creeping other people out.

I will let the discerning reader draw their own conclusions about my interest in creepiness, but my interest in gossip does have an identifiable point of origin that is a bit more mundane than one might expect.

Research Ideas Can Be Inspired by Everyday Life

One day, about 25 years ago, I was standing in a long, slow-moving line at a grocery store. As it happened, my progress was stalled right next to a magazine rack rife with tabloids full of scandalous stories about movie stars, politicians, and assorted other celebrities.

For the first time in my life, I really looked at these publications and found myself wondering how they all stayed in business. Who reads all of this stuff? Why do we care so much about the private lives of individuals who we will never meet? I pondered this during my drive to the office after I left the store. I remember posing questions about the allure of these magazines to the first psychologist colleague I encountered when I got to work, and our ensuing conversation fanned the flames of my interest even further.

Being a good academic, my first impulse was to turn to the scientific literature to see what experts on gossip had been able to uncover. I was stunned by what I found, or more accurately, by what I did not find. There were a few studies in which anthropologists hung out in villages in random cultures and reported on what they heard people talking about when they gossiped and some intriguing anthropological theories about the origin of gossip.

However, I was unable to find anything in the way of actual experiments done by social psychologists on how gossip works. This is extraordinary: Until the dawn of the 21 st century, a universal human activity that lies at the heart of social life had been largely ignored by scientists whose stated mission was to understand human social interaction.

As an experimental social psychologist, I found the implied challenge irresistible. And so, with the help of some of my students, I embarked on a series of experiments on the psychology of gossip. I am proud to say that an interest in gossip spread like wildfire throughout the research community and that the study of gossip is now a thriving enterprise in the field of social psychology and related social sciences.

Thus, some research ideas do indeed spring directly from questions that arise through observing everyday life or from personal concerns faced by the researcher. However, this is not the only way in which research questions are formulated, and I will explore this in another post.

Frank McAndrew, Ph.D., is the Cornelia H. Dudley Professor of Psychology at Knox College.

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