An Asset Framework to Guide Nonhealth Policy for Population Health.

This JAMA Forum discusses 3 types of assets (financial, physical, and social) that unlock access to resources and shape population health.

Pandemic stressors and mental health indicators in eight countries.

PURPOSE: The Covid-19 pandemic has exacted a significant physical, financial, social, and emotional toll on populations throughout the world. This study aimed to document the association between pandemic stressors and mental health during the pandemic across countries that differ in cultural, geographic, economic, and demographic factors. METHODS: We administered an online survey randomly in Brazil, China, Germany, Egypt, India, Indonesia, Nigeria, and the United States from September 2020 to November 2020. This survey included questions on Covid-19-related stressors as well as the Patient Health Questionnaire-2 and the Primary Care PTSD Checklist to screen for depression and post-traumatic stress disorder (PTSD) symptoms, respectively. We performed bivariable and multivariable regression analyses to assess the prevalence and odds ratios of overall depression symptoms and probable PTSD and in relation to stressors across countries. RESULTS: Among 8754 respondents, 28.9% (95% CI 27.5-30.0%) experienced depression symptoms, and 5.1% (95% CI 4.5-6.0%) experienced probable PTSD. The highest prevalence of depression symptoms was in Egypt (41.3%, 95% CI 37.6-45.0%) and lowest in the United States (24.9%, 95% CI 22.3-27.7%). The highest prevalence of probable PTSD was in Brazil (7.3%, 95% CI 5.6-9.4%) and the lowest in China (1.2%, 95% CI 0.7-2.0%). Overall, experiencing six or more Covid-19-related stressors was associated with both depression symptoms (OR 1.90, 95% CI 1.46-2.48) and probable PTSD (OR 13.8, 95% CI 9.66-19.6). CONCLUSION: The association between pandemic related stressors and the burden of adverse mental health indicators early in the Covid-19 pandemic transcended geographic, economic, cultural, and demographic differences between countries. The short-term and long-term impacts of the pandemic on mental health should be incorporated in efforts to tackle the consequences of Covid-19.

Trends in Telepsychiatry and In-Person Psychiatric Care for Depression in an Academic Health System, 2017-2022.

OBJECTIVE: The authors aimed to assess differences in appointment completion rates between telepsychiatry and in-person outpatient psychiatric care for patients with depression in an academic health system. METHODS: Electronic health records of encounters for patients (ages ≥10) with a depression diagnosis and at least one scheduled outpatient psychiatric appointment (N=586,266 appointments; November 2017-October 2022) were assessed for appointment volume and completion of telepsychiatry versus in-person sessions. RESULTS: Telepsychiatry became the dominant care modality after the onset of the COVID-19 pandemic, although the number of telepsychiatry and in-person appointments nearly converged by October 2022. Logistic regression showed that telepsychiatry appointments (July 2020-October 2022) were more likely (OR=1.30, 95% CI=1.27-1.34) to be completed than in-person appointments. CONCLUSIONS: Telepsychiatry appointments were less likely to be canceled or missed than in-person appointments, suggesting that telepsychiatry improved efficiency and continuity of care. As in-person operations resume following the pandemic, maintaining telepsychiatry services may optimize hospital-level and patient outcomes.

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.

Symptoms of Posttraumatic Stress During the COVID-19 Pandemic in the Governmental Public Health Workforce and General Population.

We aimed to estimate the prevalence of COVID-19-related posttraumatic stress symptoms (PTSS) in the governmental public health workforce and in US adults, assess differences in reporting PTSS within subgroups, and evaluate whether frontline workers reported higher levels of PTSS than persons in other jobs. We used data from 2 nationally representative studies: the 2021 Public Health Workforce Interests and Needs Survey (PH WINS) and the COVID-19 and Life Stressors Impact on Mental Health and Well-being (CLIMB) study. Our study found that the state and local governmental public health workforce was more likely to report PTSS than the general adult population. Almost a quarter of public health agency employees (24.7%) and 21.1% of adults reported at least 3 symptoms of posttraumatic stress. Differences in levels of PTSS appeared within demographic groups for both samples. Personal care and service frontline workers had 4.3 times the odds of reporting symptoms of posttraumatic stress than non-frontline workers.

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.

The Potential Influence of AI on Population Mental Health.

The integration of artificial intelligence (AI) into everyday life has galvanized a global conversation on the possibilities and perils of AI on human health. In particular, there is a growing need to anticipate and address the potential impact of widely accessible, enhanced, and conversational AI on mental health. We propose 3 considerations to frame how AI may influence population mental health: through the advancement of mental health care; by altering social and economic contexts; and through the policies that shape the adoption, use, and potential abuse of AI-enhanced tools.

Depression and PTSD among Houston Residents who Experienced Hurricane Harvey and COVID-19: Implications for Urban Areas Affected by Multiple Disasters.

Little is known about the combined impact of the COVID-19 pandemic and other major disasters on mental health. Hurricane Harvey hit the Gulf Coast in 2017, resulting in substantial costs, significant levels of displacement, and approximately 100 deaths, and was followed in 2020 by the COVID-19 pandemic. We randomly sampled 1167 Houstonians from 88 designated super-neighborhoods and surveyed them about their demographics, event-specific traumas and stressors, and symptoms of current depression and post-traumatic stress disorder (PTSD). We estimated the prevalence of depression (5.8%) and PTSD (12.6%) more than three years after Hurricane Harvey, and assessed the relative influence of event-specific stressors and traumas on current mental health. Overall, we observed evidence for two key findings that are salient for residents of urban environments in the context of multiple disasters. First, stressors were primary influences on depression, whereas both stressors and traumas influenced PTSD. Second, the influences of stressors and traumas on depression and PTSD symptoms faded with time.

Financial strain and depression in the U.S.: a scoping review.

While the association between assets and depression has been established, less is known about the link between financial strain and depression. Given rising financial strain and economic inequity due to the COVID-19 pandemic, understanding the role that financial strain plays in shaping population depression in the United States is particularly salient. We conducted a scoping review of the peer-reviewed literature on financial strain and depression published from inception through January 19, 2023, in Embase, Medline via PubMed, and PsycINFO, PsycArticles, SocINDEX, and EconLit via Ebsco. We searched, reviewed, and synthesized the literature on longitudinal studies on financial strain and depression conducted in the United States. Four thousand and four unique citations were screened for eligibility. Fifty-eight longitudinal, quantitative articles on adults in the United States were included in the review. Eighty-three percent of articles (n = 48) reported a significant, positive association between financial strain and depression. Eight articles reported mixed results, featuring non-significant associations for some sub-groups and significant associations for others, one article was unclear, and one article reported no significant association between financial strain and depression. Five articles featured interventions to reduce depressive symptoms. Effective interventions included coping mechanisms to improve one's financial situation (e.g., mechanisms to assist in finding employment), to modify cognitive behavior (e.g., reframing mindset), and to engage support (e.g., engaging social and community support). Successful interventions were tailored to participants, were group-based (e.g., they included family members or other job seekers), and occurred over multiple sessions. While depression was defined consistently, financial strain was defined variably. Gaps in the literature included studies featuring Asian populations in the United States and interventions to reduce financial strain. There is a consistent, positive association between financial strain and depression in the United States. More research is needed to identify and test interventions that mitigate the ill effects of financial strain on population's mental health.

Global Health Equity Requires Global Equity.

Many global health challenges are characterized by the inequitable patterning of their health and economic consequences, which are etched along the lines of pre-existing inequalities in resources, power, and opportunity. These links require us to reconsider how we define global health equity, and what we consider as most consequential in its pursuit. In this article, we discuss the extent to which improving underlying global equity is an essential prerequisite to global health equity. We conclude that if we are to improve global health equity, there is a need to focus more on foundational-rather than proximal-causes of ill health and propose ways in which this can be achieved.

Understanding the Mental Health Impact of the COVID-19 Pandemic Among Individuals With Chronic Illness.

People with chronic illnesses are vulnerable to stress and psychopathology during population-level disasters, as a subset of individuals with disabilities. We aimed to examine the relationships between chronic illness, cumulative and specific stressors, and probable depression, probable anxiety, and post-traumatic stress in an under-resourced urban population in New York City during the COVID-19 pandemic. Using cross-sectional survey data collected in April 2020, we utilized bivariate chi-square analyses and multivariable logistic regression models to estimate differences in and adjusted odds of stressor endorsement and diagnostic prevalence between people with and without chronic illness. We also assessed effect modification of the relationship between stressor exposure and psychopathology by chronic illness status. Compared to people without chronic illness, those who reported having a chronic illness experienced increased odds of probable depression, probable anxiety, and post-traumatic stress. They were also more likely to report high cumulative COVID-19-related stress exposure, death of someone close to them due to coronavirus or COVID-19, family problems, feeling alone, supply shortages, and financial problems. Chronic illness was found to be an effect modifier in the relationship between the death of someone close due to coronavirus or COVID-19 and probable depression and between household job loss and probable anxiety.

Prevalence of depressive symptoms in U.S. adults during the COVID-19 pandemic: A systematic review.

The COVID-19 pandemic has led to a worsening of mental health among U.S. adults. However, no review to date has synthesized the overall prevalence of population depressive symptoms in the U.S. over the COVID-19 pandemic. We aimed to document the population prevalence of depressive symptoms and psychological distress across time since the start of the COVID-19 pandemic, both to identify patterns that emerged in the literature and to assess the data sources, methods, sampling, and measurement used to examine population mental health during the pandemic. In a systematic review of the peer review literature, we identified 49 articles reporting 88 prevalence points of depressive symptoms and related constructs in nationally representative samples of U.S. adults from March 2020 to June 2021. First, we found that the average prevalence of poor mental health across studies was 12.9% for severe depression, 26.0% for at least moderate depression, and 36.0% for at least mild depression. Second, we found that women reported significantly higher prevalence of probable depression than men in 63% of studies that reported depression levels by gender and that results on statistically significant differences between racial and ethnic groups were mixed. Third, we found that the 49 articles published were based on 12 studies; the most common sources were the Household Pulse Survey (n = 15, 31%), the AmeriSpeak panel (n = 8, 16%), the Qualtrics panel (n = 8, 16%), and the Understanding America Study (n = 5, 10%). Prevalence estimates varied based on mental health screening instruments and cutoffs used. The most commonly used instruments were the Patient Health Questionnaire (PHQ) (n = 36, 73%) and the Kessler (n = 8, 16%) series. While the prevalence of population depression varied over time depending on the survey instruments, severity, and constructs reported, the overall prevalence of depression remained high from March 2020 through June 2021 across instruments and severity. Understanding the scope of population mental health can help policymakers and providers address and prepare to meet the ongoing and future mental health needs of U.S. adults in the post-COVID-19 context and beyond.

Correlates of long-COVID-19: the role of demographics, chronic illness, and psychiatric diagnosis in an urban sample.

Long-COVID-19 symptoms are an emerging public health issue. This study sought to investigate demographics, chronic illness, and probable psychiatric diagnoses as correlates for long-COVID-19 in an urban adult sample. Self-report Qualtrics surveys were sent to students across City University of New York (CUNY) campuses in New York City in Winter 2021-2022. Binary logistic regressions were used to assess the relation of a range of factors with endorsement of long-COVID-19. Results demonstrated that Latinx participants endorsed higher odds of long-COVID-19, as compared to non-Latinx white participants. Participants who endorsed having a prior chronic illness and those who met the cut-off for probable psychiatric diagnoses all endorsed higher odds of long-COVID-19. Long-COVID-19 may be more likely among specific subpopulations and among persons with other ongoing physical and mental illness.

Examining the role of material and social assets on mental health in the context of COVID-19 among an urban public university sample.

OBJECTIVE: Material and social stressors are both well-documented contributors to the onset of psychiatric symptoms. This relationship has not yet been investigated within the context of the ongoing coronavirus disease 2019 (COVID-19) pandemic, and within low-income and racially/ethnically diverse urban student populations, who are facing increased stress. METHOD: Via an online survey, this study assessed material and social stressors and symptom endorsements for depression, anxiety, and posttraumatic stress (PTS), within a public university student sample at two time points, April 8 through May 2, 2020; n = 2,925; and July 9 through July 31, 2020; n = 1,073; during the pandemic. RESULTS: Multivariate regression analyses assessed the relationship between each diagnostic symptom category and stressor category scores. Analyses yielded stronger associations for total social stressor score and probable anxiety (ß = .695, SE = .046, p < .001 in April, ß = .730, SE = .085, p < .001 in July), probable depression (ß = .655, SE = .045, p < .001 in April, ß = .676, SE = .080, p < .001 in July) and probable PTS (ß = .587, SE = .045, p < .001 in April, ß = .687, SE = .083, p < .001 in July), compared with total material stressor scores, total material and social stressor scores. CONCLUSION: Such findings highlight the burden of both stressor types, but particularly social stress, on psychological health for underresourced students, and emphasize the need for targeted interventions that increase social assets. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Education is protective against depressive symptoms in the context of COVID-19.

OBJECTIVE: This study assessed current education stage (ie, undergraduate, graduate) as protective against depressive symptoms among a low socioeconomic status (SES) student population in a public university, in the context of COVID-19-related stressors. PARTICIPANTS: Participants were students at The City University of New York (CUNY) during the Spring 2020. METHODS: Demographic data, symptom severity, and current educational stage were collected via an online university-wide survey between April 8, 2020 and May 2, 2020. RESULTS: The prevalence of probable depression was lower amongst persons who reported being currently in a more advanced educational stage compared to people currently in a lower educational stage. COVID-19-related stressor exposure was the largest predictor of depressive symptoms, followed by demographics and current education stage. CONCLUSIONS: Current education stage is related to depressive symptoms during COVID-19. Pandemic-related educational disruptions and shifts to remote learning may limit educational achievement for low-SES student populations creating further threats to these students' health.

Perceived Coping Mitigates Anxiety Symptoms in the Context of COVID-19 Stress in an Urban University Student Sample.

Perceived coping and its two subprocesses, trauma-focused coping (finding meaning in the details and memory of a potential trauma or stressor) and forward-focused coping (focusing on planning for the future) have been shown to be important in the context of potentially traumatic events. The COVID-19 pandemic and its associated stressors have negatively impacted population mental health, and preliminary investigations have demonstrated the importance of perceived abilities to cope during the pandemic. The current study sought to examine the potentially moderating role of each subprocess on the relationship between stress and anxiety symptoms in a low-income student sample during COVID-19 (N = 2364). We computed two hierarchical multiple linear regressions to assess for significant interactions between stress and perceived coping subprocess scores on anxiety outcomes. Our results demonstrated that both trauma-focused coping and forward-focused coping served as effect modifiers in the relationship between COVID-19related stress and anxiety. Such findings highlight the importance of interventions that incorporate both forms of coping for low-income students during a chronic stressor.

Economic precarity, loneliness, and suicidal ideation during the COVID-19 pandemic.

The US population faced stressors associated with suicide brought on by the COVID-19 pandemic. Understanding the relationship between stressors and suicidal ideation in the context of the pandemic may inform policies and programs to prevent suicidality and suicide. We compared suicidal ideation between two cross-sectional, nationally representative surveys of adults in the United States: the 2017-2018 National Health and Nutrition Examination Survey (NHANES) and the 2020 COVID-19 and Life Stressors Impact on Mental Health and Well-being (CLIMB) study (conducted March 31 to April 13). We estimated the association between stressors and suicidal ideation in bivariable and multivariable Poisson regression models with robust variance to generate unadjusted and adjusted prevalence ratios (PR and aPR). Suicidal ideation increased from 3.4% in the 2017-2018 NHANES to 16.3% in the 2020 CLIMB survey, and from 5.8% to 26.4% among participants in low-income households. In the multivariable model, difficulty paying rent (aPR: 1.5, 95% CI: 1.2-2.1) and feeling alone (aPR: 1.9, 95% CI: 1.5-2.4) were associated with suicidal ideation but job loss was not (aPR: 0.9, 95% CI: 0.6 to 1.2). Suicidal ideation increased by 12.9 percentage points and was almost 4.8 times higher during the COVID-19 pandemic. Suicidal ideation was more prevalent among people facing difficulty paying rent (31.5%), job loss (24.1%), and loneliness (25.1%), with each stressor associated with suicidal ideation in bivariable models. Difficulty paying rent and loneliness were most associated with suicidal ideation. Policies and programs to support people experiencing economic precarity and loneliness may contribute to suicide prevention.

The capacity to adapt: Documenting the relationship between stressors and probable depression, anxiety, and posttraumatic stress at two time points during the COVID-19 pandemic.

BACKGROUND: Psychological adaptability, or the reduction of psychiatric symptoms in the context of ongoing stressors, is well-documented. The present study assessed relationships between COVID-19 related stressors and depression, anxiety, and post-traumatic stress (PTS) during April and July 2020. METHODS: Prevalence of, and changes in, symptom severity levels in April vs. July were measured with ANOVA F-tests. Logistic regressions were used to assess the odds of probable diagnosis. RESULTS: Symptom distributions skewed lower in July, as compared to April for all three diagnostic categories. From April to July, prevalence of probable anxiety and depression decreased across all levels of stress, prevalence of PTS increased for high stress, and decreased for medium and low stress levels. In July, only high stress related to higher odds of probable diagnoses, as compared to April when both medium and high stress did. LIMITATIONS: Due to use of cross-sectional self-report data, the present findings could not establish causality between variables, and provide probable, rather than clinical, diagnoses. CONCLUSION: Findings emphasize adaptability phenomena during COVID-19 and highlight the nuanced impact of ongoing stress.

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.