Assets, stressors, and symptoms of persistent depression over the first year of the COVID-19 pandemic

Symptom network analysis of insomnia-depression-anxiety-stigma in tuberculosis patients

Background

Insomnia, depression, anxiety, and stigma are prevalent and often coexist in patients with Tuberculosis (TB), potentially exacerbating one another. However, the complex intrinsic associations among these four disorders remain unclear, particularly concerning the role of stigma in relation to the other disorders.

Methods

A cross-sectional study was conducted at West China Hospital and the Fourth People's Hospital of Guangxi from November 2023 to June 2024. The levels of insomnia, depression, anxiety, and stigma among TB patients were assessed using the Pittsburgh Sleep Quality Index (PSQI), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and the TB-Related Stigma Scale (TRSS). Network analysis was used to identify the central and bridge symptoms and explore the role of stigma within the insomnia-depression-anxiety-stigma network.

Results

PHQ1 (anhedonia), GAD1 (nervousness), GAD5 (restlessness), and PHQ3 (sleep problems) are central to the network. Bridge symptoms, including PHQ3 (sleep problems), PSQI5 (sleep disturbances), and GAD5 (restlessness) link the depression, insomnia, and anxiety communities. TRSS1 (family's negative perception) of the stigma community exhibited the highest betweenness and second highest bridge betweenness in the network, highlighting the mediating role of family support across insomnia and psychological symptoms. Additionally, the global strength invariance test indicates that gender, age and education level do not significantly impact the network structure.

Conclusion

Depression (anhedonia and sleep problems) and anxiety (nervousness and restlessness) are the primary concerns requiring intervention in TB patients. In addition, sleep problems act as a bridge in the overall network. Stigma, particularly negative perceptions from family, may play a crucial mediating role in sustaining the entire symptom network. Consequently, these symptoms could represent potential targets for intervention.

Financial assets and mental health over time

Financial, material, and social assets are core drivers of access to salutary resources. However, there is a paucity of research about how non-income financial assets shape mental health. We explore the relation of financial assets with symptoms of depression and of anxiety using a nationally representative, longitudinal survey of U.S. adults fielded annually from 2020 to 2023 (n = 1,296 unique participants). We used multivariable logistic regression models to estimate the association of financial assets and financial stress separately and together with symptoms of depression (PHQ-9 > 9), anxiety (GAD-7 > 9), and their co-occurrence, controlling for demographic indicators and year fixed effects. We found, first, that adults with <$5,000 in accrued financial assets reported over two times the odds of positive screen for depression, anxiety, and co-occurring depression and anxiety, respectively, as adults with ≥$100,000 in financial assets. Second, when controlling for accrued financial assets, annual household income was not associated with symptoms of anxiety. Third, the gap in positive screen for depression between household financial assets groups stayed consistent and did not differ significantly over the study period. Annual income alone does not capture the influence of all financial assets on mental health.

Patterns of depression symptoms in relation to stressors and social behaviors during the COVID-19 pandemic among older youth and emerging adults in the United States

Substantial increases in depression at the outset of the pandemic were previously reported in NCANDA, a longitudinal sample of adolescents and young adults. The current NCANDA study examined depression symptoms before and during the COVID-19 pandemic. It evaluated the influence of stressors and social behavior (e.g., in-person and online socializing) with linear mixed effects models. A strong, positive association between COVID-19-related stressors and depression symptoms was observed. The frequency of in-person socializing did not account for the totality of the changes in depression observed during the early COVID-19 pandemic. It may be that pandemic-related stressors counteracted the benefits of in-person interactions during the early stages of the COVID-19 pandemic. Future studies can continue to elucidate the interactions among psychosocial, genetic, and behavioral factors contributing to depression symptoms in the unprecedented context of the COVID-19 pandemic.

Key considerations for the future of mental health epidemiology

Psychiatric epidemiology has led to substantial progress in our understanding of the causes of mental health disorders. The increasing sophistication of etiologic psychiatric research has been accompanied by a greater focus on the biological and genetic causes of psychiatric disorders, to some extent diverging from field's early focus on the burden of poor mental health due to a breadth of social and economic conditions. We argue that the moment is ripe for advancing a mental health epidemiology that can reconnect the field to these earlier-and still central-concerns while retaining the strengths of psychiatric epidemiology. Embracing 5 considerations can help advance the evolving field of mental health epidemiology. First, conceptually, an ambitious vision for the future of the field necessitates investment in refining our definitions and methodologies. Second, there is a need for a renewed focus on the macrosocial determinants of mental health. Third, a deeper engagement with mental health inequities should be central to our scholarship. Fourth, the field would benefit from a more deliberate assessment of the mechanisms leading to adverse mental health outcomes, which can then be used to inform novel interventions. Finally, realizing this future is contingent upon a wholesale commitment to studying population mental health globally. This article is part of a Special Collection on Mental Health.

Mental Health and U.S. Attitudes Toward Social Determinants of Health Policies

INTRODUCTION

Research has suggested that individual health may influence policy attitudes, yet the relationship between mental health and policy support is understudied. Clarifying this relationship may help inform policies that can improve the population mental health. To address this gap, this study measures national support for 5 social determinants of health policy priorities and their relation to mental health and political affiliation.

METHODS

This study assessed support for 5 policy priorities related to the social determinants of health using a nationally representative survey of US adults (n=2,430) conducted in March-April 2023. Logistic regression was used to estimate the predicted probability of identifying each priority as important, test differences in support by self-rated mental health, and evaluate whether partisanship modified these relationships. Analyses were conducted in 2023.

RESULTS

The majority of US adults, across partisan identities, supported 5 policy priorities related to improving the economy (84%), healthcare affordability (77%), improving K-12 education (76%), housing affordability (68%), and childcare affordability (61%). Worse mental health predicted significantly greater support for addressing housing affordability (73.9% vs 66.2%), and partisanship modified the relationship between mental health and support for improving the economy, improving K-12 education, and housing affordability.

CONCLUSIONS

In 2023, there was substantial bipartisan support for federal policy action to address the social determinants of health, and worse mental health was related to greater policy support, particularly among Democrats. Federal policymakers have a broad consensus to take action to address the social determinants of health, which may improve the population mental health.

Social status predicts physiological and behavioral responses to chronic stress in rhesus monkeys

Investigating the underlying factors that cause differential individual responses to chronic stress is crucial for developing personalized therapies, especially in the face of pandemics such as COVID-19. However, this question remains elusive, particularly in primates. In the present study, we aimed to address this question by utilizing monkeys as a model to examine the impacts of social rank on stress levels and physiological and behavioral responses to chronic stress primarily caused by social isolation at both the individual and group levels. Our results showed that high-ranking animals were more susceptible to chronic stress. After exposure to chronic stress, although social hierarchies remained the same, the colonies exhibited more harmonious group relationships (e.g., more prosocial behaviors), with notable contributions from low-ranking animals. Overall, this study deepens our understanding of how social status shapes responses to chronic stress and sheds light on developing tailored and personalized therapies for coping with chronic stress.

Depression and assets during the COVID-19 pandemic: A longitudinal study of mental health across income and savings groups

The prevalence of depression in U.S. adults during the COVID-19 pandemic has been high overall and particularly high among persons with fewer assets. Building on previous work on assets and mental health, we document the burden of depression in groups based on income and savings during the first two years of the COVID-19 pandemic. Using a nationally representative, longitudinal panel study of U.S. adults (N = 1,271) collected in April-May 2020 (T1), April-May 2021 (T2), and April-May 2022 (T3), we estimated the adjusted odds of reporting probable depression at any time during the COVID-19 pandemic with generalized estimating equations (GEE). We explored probable depression-defined as a score of ≥10 on the Patient Health Questionnaire-9 (PHQ-9)-by four asset groups, defined by median income (≥$65,000) and savings (≥$20,000) categories. The prevalence of probable depression was consistently high in Spring 2020, Spring 2021, and Spring 2022 with 27.9% of U.S. adults reporting probable depression in Spring 2022. We found that there were four distinct asset groups that experienced different depression trajectories over the COVID-19 pandemic. Low income-low savings asset groups had the highest level of probable depression across time, reporting 3.7 times the odds (95% CI: 2.6, 5.3) of probable depression at any time relative to high income-high savings asset groups. While probable depression stayed relatively stable across time for most groups, the low income-low savings group reported significantly higher levels of probable depression at T2, compared to T1, and the high income-low savings group reported significantly higher levels of probable depression at T3 than T1. The weighted average of probable depression across time was 42.9% for low income-low savings groups, 24.3% for high income-low savings groups, 19.4% for low income-high savings groups, and 14.0% for high income-high savings groups. Efforts to ameliorate both savings and income may be necessary to mitigate the mental health consequences of pandemics.

Assets and depression in U.S. adults during the COVID-19 pandemic: a systematic review

PURPOSE

Mental health is shaped by social and economic contexts, which were altered during the COVID-19 pandemic. No study has systematically reviewed the literature on the relation between different assets and depression during the COVID-19 pandemic.

METHODS

We conducted a systematic review of the literature on financial (e.g. income/savings), physical (e.g., home ownership), and social (e.g., marital status, educational attainment) assets and depression in U.S. adults. For each asset type, we created binary comparisons to report on the direction of the relationship and described if each study reported insignificant, positive, negative, or mixed associations.

RESULTS

Among the 41 articles identified, we found that income was the most studied asset (n=34), followed by education (n=25), marital status (n=18), home ownership (n=5), and savings (n=4). 88%, 100%, and 100% of articles reported a significant association of higher income, home ownership, and higher savings, respectively, with less depression. The association between marital status and education with depression was more nuanced: 72% (13 of 18) studies showed that unmarried persons had greater risk of depression than married or cohabitating persons and 52% (13 of 25) of studies reported no significant difference in depression across educational groups.

CONCLUSION

This work adds to the literature a deeper understanding of how different assets relate to depression. In the context of largescale traumatic events, policies that maintain and protect access to social, physical, and financial assets may help to protect mental health.

Unmet need for mental health care is common across insurance market segments in the United States

A substantial proportion of individuals with depression in the United States do not receive treatment. While access challenges for mental health care have been documented, few recent estimates of unmet mental health needs across insurance market segments exist. Using nationally representative survey data with participant-reported depression symptom severity and mental health care use collected in Spring 2023, we assessed access to mental health care among individuals with similar levels of depression symptom severity with commercial, Medicare, Medicaid, and no insurance. Among individuals who reported symptoms consistent with moderately severe to severe depression, 37.8% did not have a diagnosis for depression (41.0%, 28.1%, 33.6%, and 56.3% with commercial, Medicare, Medicaid, and no insurance), 51.9% did not see a mental health specialist (49.7%, 51.7%, 44.9%, and 91.8%), and 32.4% avoided mental health care due to affordability in the past 12 months (30.2%, 34.0%, 21.1%, and 54.8%). There was substantial unmet need for mental health treatment in all insurance market segments, but especially among individuals without insurance.

Evolution of Depression and Anxiety During the COVID-19 Pandemic and Across Demographic Groups in a Large Sample of U.S. Adults

Introduction

This study aimed to document the trends of feelings of depression and anxiety over the course of the COVID-19 pandemic within and across age, gender, education, and employment groups.

Methods

Using a large, national, serial cross-sectional sample of adults in the U.S. collected through the COVID-19 Trends and Impact Survey conducted in partnership with Facebook, we examined trends in feelings of depression and anxiety from April 2020 through June 2022 (N=21,359,165).

Results

Over time, differences in feelings of anxiety and depression widened for educational attainment, stayed consistent between employment groups, and narrowed for female versus male and age groups. The odds of frequent feelings of anxiety or depression were significantly lower in the studied final quarter (April-June 2022) than in the studied first quarter (October-December 2020) for the overall population (p<0.001). In April-June 2022, younger persons reported 6-7 times the odds (AOR for depression=6.07; 95% CI=5.72, 6.43 and AOR for anxiety=6.69; 95% CI=6.33, 7.07), nonbinary persons reported 5 times the odds (AOR for depression=5.35, 95% CI=4.89, 5.86 and AOR for anxiety=5.35, 95% CI=4.9, 5.85), persons with a high school degree reported 2 times the odds (AOR for depression=2.07, 95% CI=1.92, 2.22 and AOR for anxiety=1.68, 95% CI=1.57, 1.8), and persons who were not employed reported 1.3-1.5 times the odds (AOR for depression=1.46, 95% CI=1.42, 1.51 and AOR for anxiety=1.34, 95% CI=1.3, 1.38) of frequent feelings depression and anxiety, respectively, than counterparts who were older, were male, had graduate degrees, or were employed.

Conclusions

The risk factors most highly associated with poor mental health 2 years into the pandemic were young age, nonbinary gender, and low educational attainment.

A latent class analysis of hopelessness in relation to depression and trauma during the COVID-19 pandemic in China

BACKGROUND

Hopelessness is closely related to depression, trauma, and some organic diseases. Yet our understanding of the heterogeneity of hopelessness is limited. This study aimed to explore the heterogeneity of hopelessness, how it corresponds to the severity of depression, and the effect of traumatic experiences on it during COVID-19.

METHOD

The current study measures 28,360 Chinese college students (67.4 % of women) with the Beck Hopelessness Scale (BHS), Trauma Experience Questionnaire, and Patient Health Questionnaire-9 (PHQ-9). The method of latent class analysis (LCA) was used to identify different sub-groups of hopelessness with differences in emotion, motivation, and cognition. Logistic regression and analysis of variance were used to determine the characteristics of different sub-groups.

RESULTS

Three latent classes were identified: Negative affective cognition class (C1, N = 5940, 20.9 %), Negative thought cognition class (C2, N = 1358, 4.8 %), and Low hopelessness class (C3, N = 21,062, 74.3 %). Gender, only child or not, birthplace, family economic status, and grade are predictors of the latent category of hopelessness. There are significant differences in depression among different latent classes, and C1 > C2 > C3 (p < 0.001). Traumatic experience is a risk factor for the hopeless latent classes (OR > 1, P < 0.001).

LIMITATIONS

Research findings may not be applied to other populations and rely on subjective reports. Ignore the effects of other protective and risk factors. Lack of longitudinal research, unable to explore causality.

CONCLUSIONS

The current study provides evidence for the heterogeneity of hopelessness and informs targeted interventions for mental health problems (hopelessness) in college students.

The interrelations between psychological outcome trajectories and resource changes amid large-scale disasters: A growth mixture modeling analysis

Currently little is known about the interrelations between changes in psychiatric symptoms and changes in resources (personal, social, financial) amid large-scale disasters. This study investigated trajectories of psychiatric symptoms and their relationships with different patterns of changes in personal, social, and financial resources between 2020 and 2022 amid the COVID-19 pandemic. A population-representative sample (N = 1333) was recruited to complete self-report instruments at the pandemic's acute phase (February-July 2020, T1), and again at 1-year (March-August 2021, T2) and 1.5-year (September 2021-February 2022, T3) follow-ups. Respondents reported depressive and anxiety symptoms, self-efficacy, perceived social support, and financial capacity. Growth mixture modeling (GMM) identified four trajectories of depressive and anxiety symptoms: resilience (72.39-74.19%), recovery (8.40-11.93%), delayed distress (7.20-7.35%), and chronic distress (8.33-10.20%). Four patterns were demonstrated in resource changes: persistent high resources (40.89-47.64%), resource gain (12.08-15.60%), resource loss (6.30-10.43%), and persistent low resources (28.73-36.61%). Loss and gain in financial resources characterized chronic distress and resilience, respectively. Loss in personal resources characterized delayed distress, whereas loss or no gain in social resources was related to chronic/delayed distress. Respondents in resilience were also more likely to have persistent high resources while those with delayed/chronic distress were more likely to have persistent low resources. These results provide an initial evidence base for advancing current understanding on trajectories of resilience and psychopathology in the context of resource changes during and after large-scale disasters.

Low assets predict persistent depression through living difficulties amid large-scale disasters: A cohort study

BACKGROUND

In face of large-scale disasters, persons with fewer assets are at greater risk of persistent poorer mental health than persons with more assets. Everyday daily routine disruptions and financial hardship could mediate this association.

METHODS

This prospective population-representative study in Hong Kong aimed to investigate the relation between assets during the acute phase of COVID-19 (February-August 2020, T1) and persistent probable depression from T1 to March-August 2021 (T2), as well as the mediating effects of daily routine disruptions and financial hardship on the assets-depression association.

RESULTS

Low assets at T1 prospectively related to persistent probable depression from T1 to T2. Primary routine disruptions (i.e., healthy eating and sleep) at T1 and financial hardship at T2 were found to fully mediate the association between T1 assets and persistent probable depression.

LIMITATIONS

Persistent probable depression reported on the PHQ-9 should be further verified with clinical diagnoses/interviews.

CONCLUSIONS

The COVID-19 pandemic was accompanied by a global economic downturn. Persons who have fewer assets could be at greater risk of depression during this period. Our findings suggest a need to provide behavioral and financial assistance to persons with fewer assets in the short run and a need to ensure that everyone has adequate assets to mitigate the mental health consequences of the COVID-19 pandemic in the long run.

Coping resources mediate the prospective associations between disrupted daily routines and persistent psychiatric symptoms: A population-based cohort study

This study examined the mediating effects of coping resources in the prospective associations between daily routine disruptions in the acute phase of COVID-19 and persistent probable anxiety and depression. A prospective, population-representative cohort of 1318 Hong Kong Chinese respondents completed a baseline survey between February and July 2020 (T1) and a 1-year follow-up survey between March and August 2021 (T2). Respondents reported demographics and disruptions to primary and secondary daily routines at T1, coping resources (i.e., self-efficacy and meaning making) at T2, and anxiety and depressive symptoms at T1 and T2. We found that 8.1% and 10.0% of respondents reached cutoff scores for probable anxiety and depression respectively at both T1 and T2. Logistic regression showed that T1 daily routine disruptions were positively associated with heightened risk of persistent probable anxiety and depression amid COVID-19. Path analysis showed that 15.3% and 13.1% of the associations of daily routine disruptions with persistent probable anxiety and depression were explained by coping resources, respectively, while the direct routine-outcome associations remained significant. Daily routine disruptions predict higher odds of persistent probable anxiety and depression directly and partially through reducing coping resources. Sustainment of regular daily routines should be advocated and fostered to enhance coping resources and reduce the risk of poorer adjustment among the affected populations amid public health crises.