Generalized anxiety disorder in low-resourced adults: a nationally representative, longitudinal cohort study across the COVID-19 pandemic.

The burden of generalized anxiety disorder (GAD) accrued disproportionately over the COVID-19 pandemic to low-resource populations. Using a longitudinal, nationally representative study of U.S. adults, we used generalized estimating equations (GEE) to estimate the burden of positive screen for GAD (GAD-7 ≥10) over time. The final sample included 1270 adults ≥18 who completed the CLIMB (COVID-19 and Life Stressors Impact on Mental Health and Well-being) study, collected in Spring 2020, 2021, and 2022. The national prevalence of positive screen for GAD decreased from 24.4% in 2020 to 21.3% in 2022 (p<0.05). Across the COVID-19 pandemic, factors associated with increased odds of positive screen for GAD were: lower income (OR:2.06 [95%CI: 1.17,3.63] for ≤$19,999 relative to ≥$75,000), younger age (OR:2.55 [95% CI:1.67,3.89] for ages 18-39 relative to ≥60 years), and having contracted COVID-19 (OR:1.54 [95%CI:1.12,2.14]). Experiencing stressors was associated with 14% increased odds of positive screen for GAD for each additional stressor. The 2020 stressors most strongly associated with positive screen for GAD in 2022 were job loss and difficulties paying rent. Efforts to address the stressors affecting groups with the highest burden of anxiety post-pandemic may help to mitigate poor mental health exacerbated during the COVID-19 pandemic.

Area-level credit scores and symptoms of depression and anxiety in adults.

Area-level credit scores may capture aspects of a neighborhood's resources and history that may affect population mental health beyond income and other demographic determinants. Using a sample of 511,363 adults in 1,438 Pennsylvania ZIP codes who completed the COVID-19 Trends and Impact Survey, we assessed the relationship between area-level VantageScores (nine categories from <675 to ≥850) and individual mental health. We estimate odds and predicted probability of depression and anxiety symptoms, adjusting for demographics and median household income. Given a history of discrimination and unequal access to the benefits of assets, we assess whether the relationship between area credit scores and individual mental health was different for different gender, age, race and ethnicity, and education groups. Persons who lived in ZIP codes with average credit scores of 700-725 reported 1.31 (95% CI 1.13, 1.52) and 1.22 (95% CI 1.07, 1.40) times the odds of frequent feelings of depression and anxiety symptoms, respectively, relative to persons living in ZIP codes with an average area level credit score ≥850. This translated to a difference of 2.8 and 2.5 percentage points in the predicted probability of symptoms of depression and anxiety, respectively, for persons living in lower versus higher area credit score ZIP codes. Stratified models appeared to show differences in the association of depression and anxiety with credit scores across demographic groups, but tests of interaction did not show significant differences between most groups. Findings suggest that area credit scores may capture assets that shape mental health over and above income and other demographic determinants.

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.

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.

Mental Health and Mental Health Care Utilization Across Political Affiliation in U.S. Adults.

In the past decade, depression has become more visible in the public conversation; depression has also become bound in national divides. We sought to assess (1) whether positive screen for depression is associated with political party affiliation and (2) whether use of mental health care varies by political affiliation. Positive screen for depression did not differ significantly for Republicans versus Democrats in Spring 2023. However, Republicans were less likely to have received treatment for their mental health in the past 12 months. Depression is a bipartisan issue, and improving access to mental health care could be a priority that unites political groups during the upcoming election season.

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.

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.

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.

A multilevel approach to social support as a determinant of mental health during COVID-19.

The COVID-19 pandemic has detrimentally affected the mental health of lower income communities. We sought to investigate the relationship among multilevel social support, specifically individual-, network-, and neighborhood-level social supports, COVID-19-related stressors, and probable diagnoses of depression, anxiety, and posttraumatic stress (PTS), within a racially diverse and predominantly low-socioeconomic status population. We used multiple logistic regressions to assess the odds of diagnosis for high versus low social support and stressor levels. Participants who endorsed high levels of stress had significantly higher odds of probable diagnoses. Participants who endorsed low individual-level social support had higher odds of probable depression and anxiety. Those who endorsed low neighborhood-level social support had higher odds of probable depression and probable PTS. Network-level social support was not significantly associated with the health indicators of interest. Results indicate the importance of both individual- and neighborhood-level support to protect mental health during COVID-19.

Data, Social Determinants, and Better Decision-making for Health: the 3-D Commission.

More than a decade after the World Health Organization Commission on the Social Determinants of Health (SDoH), it is becoming widely accepted that social and economic factors, including but not limited to education, energy, income, race, ethnicity, and housing, are important drivers of health in populations. Despite this understanding, in most contexts, social determinants are not central to local, national, or global decision-making. Greater clarity in conceptualizing social determinants, and more specificity in measuring them, can move us forward towards better incorporating social determinants in decision-making for health. In this paper, first, we summarize the evolution of the social framing of health. Second, we describe how the social determinants are conceptualized and contextualized differently at the global, national, and local levels. With this, we seek to demonstrate the importance of analyzing and understanding SDoH relative to the contexts in which they are experienced. Third, we problematize the gap in data across contexts on different dimensions of social determinants and describe data that could be curated to better understand the influence of social determinants at the local and national levels. Fourth, we describe the necessity of using data to understand social determinants and inform decision-making to improve health. Our overall goal is to provide a path for our collective understanding of the foundational causes of health, facilitated by advances in data access and quality, and realized through improved decision-making.

Housing as a Social Determinant of Health: Evidence from Singapore, the UK, and Kenya: the 3-D Commission.

Housing is a paradigmatic example of a social determinant of health, as it influences and is influenced by structural determinants, such as social, macroeconomic, and public policies, politics, education, income, and ethnicity/race, all intersecting to shaping the health and well-being of populations. It can therefore be argued that housing policy is critically linked to health policy. However, the extent to which this linkage is understood and addressed in public policies is limited and highly diverse across and within countries. This analysis seeks to describe the linkages between housing policies and health and well-being using examples from three countries at different levels of the wealth spectrum: Singapore, the UK, and Kenya.We conducted a comparative policy analysis across three country contexts (Singapore, the UK, and Kenya) to document the extent to which housing policies address health and well-being, highlighting commonalities and differences among them. To guide our analysis, we used the United Nations (UN) definition of adequate housing as it offers a broad framework to analyze the impact of housing on health and well-being.The anatomy of housing policies has a strong correlation to the provision of adequate housing across Singapore, the UK, and Kenya, especially for vulnerable groups. The paper demonstrates that contextual factors including population composition (i.e., aging versus youthful), political ideologies, legal frameworks (i.e., welfare versus market-based provision of housing), and presence (or absence) of adequate, quality, timely, reliable, robust data systems for decision-making, which are taken up by stakeholders/state, have strong implications of the type of housing policies developed and implemented, in turn directly and indirectly impacting the overall health and well-being of populations.This analysis demonstrates the value of viewing housing policies as public health policies that could significantly impact the health and well-being of populations, especially vulnerable groups. Moreover, the findings highlight the importance of the Health in All Policies approach to facilitate integrated policy responses to address social determinants of health such as housing. This is more critical than ever, given the context of the global pandemic that has led to worsening overall health and well-being.

Depression and Anxiety During the COVID-19 Pandemic in an Urban, Low-Income Public University Sample.

Mental health disparities in the aftermath of national disasters and the protective role of socioeconomic status are both well documented. We assessed the prevalence of depression and anxiety symptoms among underresourced public university students during the COVID-19 pandemic in New York City. Between April 8, 2020, and May 2, 2020, adult students (N = 1,821) across the CUNY system completed an online survey examining COVID-19-related stressors and mental health and sociodemographic factors. Using multivariable logistical regression to assess the association between COVID-19-related stressors and depression and anxiety symptoms, we found a high prevalence and severity of depression and anxiety symptoms. We also observed that more exposure to COVID-19-related stressors was associated with increased depressive (27.0%, 41.4%, and 63.1% for low-, medium-, and high-level stressors, respectively) and anxiety symptoms (19.3%, 34.6%, 52.2%). In addition, the degree of exposure to COVID-19-related stressors served as an important predictor of depression and anxiety symptoms. Compared to high levels of stressors, the odds of depression were 0.2, 95% CI [0.2, 0.3] for low- and 0.4, 95% CI [0.3, 0.5] for medium-level stressors; for anxiety, the odds were 0.2, 95% CI [0.2, 0.3] for low and 0.05, 95% CI [0.4, 0.6] for medium stressors. Finally, household savings of less than $5,000 increased the risk of anxiety but not depression symptoms, OR = 1.3, 95% CI [1.0,1.6]. Together, these findings tell a devastating story of psychological distress among students from lower socioeconomic groups living in the COVID-19 epicenter of the U.S. pandemic.

Savings, home ownership, and depression in low-income US adults.

PURPOSE: While the association between income and depression is well established, less explored is the relation between wealth and depression, particularly among low-income adults. We studied the relation between two types of assets-savings and home ownership-and probable depression to understand how access to different assets may shape depression among low-income US adults. METHODS: Study sample We conducted a serial cross-sectional, observational study with 12,019 adults with low-income in the United States using National Health and Nutrition Examination Survey (NHANES) data from 2007 to 2016. Measures We measured probable major depressive disorder (MDD) with impairment using the Patient Health Questionnaire-9. Low savings was defined as having $5000 or less in family savings. Statistical analysis We estimated adjusted and unadjusted prevalence, odds ratios, and predicted probability of probable MDD across asset groups. RESULTS: Of low-income US adults, 5.4% had probable MDD with impairment, 85.9% had low savings, and 54.9% rented their home. Persons with low savings had 2.34 (95% CI 1.44-3.79) times the odds of having probable MDD relative to those with high savings. Home owners had 2.14 (95% CI 1.20-3.86) and home renters had 3.65 (95% CI 1.45-9.20) times the odds of having probable MDD if they had low savings relative to high savings. CONCLUSION: Family savings and home ownership are associated with lower burden of depression among low-income adults in the US.

Civil unrest, COVID-19 stressors, anxiety, and depression in the acute phase of the pandemic: a population-based study in Hong Kong.

PURPOSE: To examine the joint associations of civil unrest and COVID-19 with probable anxiety and depression during the first half of 2020 in Hong Kong. Associations were compared between persons with low or high assets. METHODS: A population-representative sample of 4011 Hong Kong Chinese residents aged 15 years or older were recruited between February and May 2020. Respondents reported current anxiety and depressive symptoms, unrest stress, COVID-19 stress, assets (savings and home ownership), and demographics. RESULTS: Stress due to unrest and COVID-19 was associated with higher prevalence of probable anxiety and depression; persons with both stressors had higher prevalence. This pattern was consistent among persons with low or high assets, but the probabilities of mental disorder were substantially higher among persons with fewer assets. CONCLUSIONS: The effect of stressors on probable anxiety and depression are cumulative: persons with stress due to civil unrest and to COVID-19 reported more mental disorders than persons with stress due to only one, or none of these factors. Overall high assets appear to buffer the consequences of stressors, lowering the risk of mental disorder.

Taking the Long View: COVID-19 Priorities for the Biden Administration.

The COVID-19 pandemic transformed the American political landscape, influencing the course of the 2020 election and creating an urgent policy priority for the new administration. The Biden-Harris plan for beating COVID-19 represents a practicable, technically competent plan to contain the pandemic, one that will serve the country well in the months ahead. The authors suggest that the United States would also benefit from an even bolder set of aspirations-reframing the national conversation on COVID-19, embedding equity in all health decision making, strengthening the social safety net, and changing how we talk about health-as part of the national response to COVID-19. This would represent a genuine step forward in the US approach to health, informed by the systemic flaws COVID-19 exposed, and would realize benefits from the pandemic moment that in turn would propel national health forward for the rest of the century.

Invited Commentary: Reckoning With the Relationship Between Stressors and Suicide Attempts in a Time of COVID-19.

The coronavirus disease 2019 (COVID-19) pandemic presents a unique set of risk exposures for populations, which might lead to an increase in suicide. While large-scale traumatic events are known to increase psychological disorders, thus far the science has not shown a clear link between these events and suicide. In this issue of the Journal, Elbogen et al. (Am J Epidemiol. 2020;189(11):1266-1274) used representative data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) to show that 4 dimensions of financial strain-financial debt/crisis, unemployment, past homelessness, and lower income-are associated with subsequent suicide attempts. There are 3 main lessons we can take from Elbogen et al.: First, with populations facing record-breaking unemployment, economic recession, and reduced wages, we can anticipate an increase in suicide in the wake of the COVID-19 pandemic. Second, these data show the centrality of financial stressors, marking the current moment as distinct from other disasters or large-scale trauma. Third, the data teach us that financial stressors are linked and cumulative. In this way, Elbogen et al. provide a sobering harbinger of the potential effects on suicide of the collective stressors borne by the COVID-19 pandemic and other mass traumatic events that are accompanied by substantial financial stressors.

Claiming Health as a Public Good in the Post-COVID-19 Era.

The global response to COVID-19 has been uneven and disappointing in the vast majority of countries. The United States has borne the largest absolute burden of disease globally, as COVID-19 exploited pre-existing poor population health among Americans to spread rapidly, with devastating consequences. Why does the country that spends the most on healthcare in the world have one of the worst responses to COVID-19? We argue that this is because the United States conception of health is predominantly focused on healthcare, an overwhelming investment in developing drugs and treatments, and an underinvestment in the foundational conditions that keep people healthy. COVID-19 has exposed the limits of this approach to health. In order to prevent COVID-19 and future such pandemics, we must create the conditions that can keep population-level health threats at bay. This means addressing the conditions that shape health, including economics, employment, community networks, racial disparities, how we treat older adults, and the physical layout of our communities. To do so means acknowledging health as a public good, as a transnational project with countries working together to build a healthier world. It also means acknowledging that everyone has a right to health. These aspirations should become core to the global community's health aspirations in the post-COVID-19 era.