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 five 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.

Conceptualising commercial entities in public health: beyond unhealthy commodities and transnational corporations.

Most public health research on the commercial determinants of health (CDOH) to date has focused on a narrow segment of commercial actors. These actors are generally the transnational corporations producing so-called unhealthy commodities such as tobacco, alcohol, and ultra-processed foods. Furthermore, as public health researchers, we often discuss the CDOH using sweeping terms such as private sector, industry, or business that lump together diverse entities whose only shared characteristic is their engagement in commerce. The absence of clear frameworks for differentiating among commercial entities, and for understanding how they might promote or harm health, hinders the governance of commercial interests in public health. Moving forward, it is necessary to develop a nuanced understanding of commercial entities that goes beyond this narrow focus, enabling the consideration of a fuller range of commercial entities and the features that characterise and distinguish them. In this paper, which is the second of three papers in a Series on commercial determinants of health, we develop a framework that enables meaningful distinctions among diverse commercial entities through consideration of their practices, portfolios, resources, organisation, and transparency. The framework that we develop permits fuller consideration of whether, how, and to what extent a commercial actor might influence health outcomes. We discuss possible applications for decision making about engagement; managing and mitigating conflicts of interest; investment and divestment; monitoring; and further research on the CDOH. Improved differentiation among commercial actors strengthens the capacity of practitioners, advocates, academics, regulators, and policy makers to make decisions about, to better understand, and to respond to the CDOH through research, engagement, disengagement, regulation, and strategic opposition.

The Pitfalls of Ascribing Moral Agency to Corporations: Public Obligation and Political and Social Contexts in the Commercial Determinants of Health.

Policy Points Government and civil society should be held more accountable for creating food and beverage regulatory policies rather than assigning moral agency to the food and beverage industry. Nutrition policymaking institutions should ensure civil society's ability to design regulatory policy. Government policymaking institutions should be isolated from industry interference.

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.

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.

Moving From Traumatic Events to Traumatic Experiences in the Study of Traumatic Psychopathology.

Trauma is defined in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) as an event that includes "actual or threatened death, serious injury, or sexual violence" (p. 271). The list of traumatic events included in the DSM-5 represents a long history of psychiatry and psychology's attempts to define trauma and differentiate these events from less severe stressors. In this commentary, we suggest that this strict distinction between traumatic events and stressful events is not useful for public health. The current DSM-5 list of traumatic events may work well for identifying people with the most severe experiences and highest conditional probability of distress who need clinical care. However, the public health field has different priorities. If we think about posttraumatic psychological distress on a population scale, it is not only helping those with the most severe experiences that is needed; rather, public health requires paying attention to all people experiencing distressing stress and trauma reactions. We propose that context is crucial to the development of a population-relevant definition of trauma and provide examples of situations in which stressors have resulted in posttraumatic psychological distress and in which traumatic event reactions have been mitigated by the context in which they occur. We discuss trauma context from an epidemiologic perspective and conclude with recommendations for the field. This article is part of a Special Collection on Mental Health.

Prediction of Suicide Attempts Among Persons with Depression: A Population-Based Case Cohort Study.

Studies have highlighted the potential importance of modeling interactions for suicide attempt prediction. This case-cohort study identified risk factors for suicide attempts among persons with depression in Denmark using statistical approaches that do (random forests) or do not model interactions (least absolute shrinkage and selection operator regression [LASSO]). Cases made a non-fatal suicide attempt (n = 6,032) between 1995 and 2015. The comparison subcohort was a 5% random sample of all persons in Denmark on January 1, 1995 (n = 11,963). We used random forests and LASSO for sex-stratified prediction of suicide attempts from demographic variables, psychiatric and somatic diagnoses, and treatments. Poisonings, psychiatric disorders, and medications were important predictors for both sexes. Area under the receiver operating characteristic curve (AUC) values were higher in LASSO models (0.85 [95% CI = 0.84, 0.86] in men; 0.89 [95% CI = 0.88, 0.90] in women) than random forests (0.76 [95% CI = 0.74, 0.78] in men; 0.79 [95% CI = 0.78, 0.81] in women). Automatic detection of interactions via random forests did not result in better model performance than LASSO models that did not model interactions. Due to the complex nature of psychiatric comorbidity and suicide, modeling interactions may not always be the optimal statistical approach to enhancing suicide attempt prediction in high-risk samples.

Urbanization and the Future of Population Health.

Policy Points Cities, which are where the majority of the world's population lives today, directly and indirectly shape human health and well-being. Urban health research, policy, and practice are increasingly using a systems science approach to address the upstream and downstream drivers of health in cities, which include social and environmental factors, features of the built environment, conditions of living, and health care resources. To guide future scholarship and policy, we propose an urban health agenda for 2050 focused on revitalizing the sanitation movement, integrating data, scaling best practices, adopting the Health in All Policies approach, and addressing intraurban health inequities.

A qualitative framing analysis of how firearm manufacturers and related bodies communicate to the public on gun-related harms and solutions.

There is a growing understanding that the producers and sellers of harmful products directly and indirectly affect population health and policy, including through seeking to influence public understanding about the nature of harms and their solutions. However, the firearm industry and related organisations have not to date been the subject of this type of enquiry. This study sought to address this evidential gap through examining the ways in which the firearm industry and industry-associated organisations frame firearms, firearm-related harms and possible solutions to gun violence. This was a thematic qualitative documentary analysis of materials from 7 of the largest firearm manufacturers and associated organisations. Two authors independently extracted textual material from web articles, press releases, annual reports and shareholder communications between 1st April 2019 to 1st April 2020 (302 documents). A hybrid approach combining both deductive and inductive coding was adopted, guided by the literature on the commercial determinants of health and using NVivo version 12. The firearm industry and firearm industry-funded organisations use framings about the safety and role of guns, evidence on associated harms and solutions that align with the industry's business interests, consistent with evidence on other harmful product manufacturers. This study identified framing strategies employed by the firearm industry and related organisations. These included attempts to undermine evidence, linking regulation to a dystopian future, minimising some of the most common harms, placing the responsibility for harms on individuals, and attempting to foster a heightened sense of risk to personal safety.

What was the impact of tobacco taxes on smoking prevalence and coronary heart disease mortality in the United States -2005-2016, and did it vary by race and gender?

Tobacco taxes have reduced smoking and coronary heart disease (CHD) mortality, yet few studies have examined heterogeneity of these associations by race and gender. We constructed a yearly panel (2005-2016) that included age-adjusted cigarette smoking prevalence and CHD mortality rates across all 50 U.S. States and the District of Columbia using the Behavioral Risk Factor Surveillance System and Wide-ranging Online Data for Epidemiological Research. We examined associations between changes in total cigarette excise taxes (i.e., federal and state) and changes in smoking prevalence and CHD mortality, using linear regression models with state and year fixed effects. Each dollar of tobacco tax was associated with a reduction in age-adjusted smoking prevalence 1 year later of -0.4 [95% CIs: -0.6, -0.2] percentage points; and a relative reduction in the rate of CHD mortality 2 years later of -2.0% [95% CIs: -3.7%, -0.3%], or -5 deaths/100,000 in absolute terms. Associations between tobacco taxes and smoking prevalence were statistically significantly different by race and gender and were strongest among Black non-Hispanic women (-1.2 [95% CIs: -1.6, -0.8] percentage points). Associations between tobacco taxes and CHD mortality were not statistically significantly different by race and gender, but point estimates for percent changes were highest among Black non-Hispanic men (-2.9%) and Black non-Hispanic women (-3.5%) compared to White non-Hispanic men (-1.8%) and White non-Hispanic women (-1.5%). These findings suggest that tobacco taxation is an effective intervention for reducing smoking prevalence and CHD mortality among White and Black non-Hispanic populations in the United States.

Urban Health Scholarship and Practice in the Post-Pandemic Era.

The COVID-19 pandemic highlighted several challenges that cities face that can affect the health of urban populations. These challenges are an opportunity for sharpening of our urban health scholarship, to rethink the questions the field should be asking, and how the answers to those questions should guide practice. The central role of inequities in cities, the politics of urban health, communication for health, the deployment of health care, and the future of urban living are all areas that merit attention by scholars and practitioners in the field in coming decades.

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.

Longitudinal and bidirectional associations between posttraumatic stress disorder and emotional support among disaster-affected men and women.

Research has demonstrated a negative association between social support and symptoms of posttraumatic stress disorder (PTSD). This has been interpreted as a protective influence of social support against the development of posttraumatic stress symptoms (PTSS). Research on the opposite association is more limited, but findings suggest that PTSS have a negative impact on social support. There is conflicting evidence that these effects are moderated by gender. Few studies have assessed both associations and gender moderation in a postdisaster context. We examined the longitudinal and bidirectional effects of emotional support and PTSS and whether gender moderates these effects among U.S. survivors of the 2017-2018 season. Participants (N = 1,347) were assessed at four time points over 1 year. Bidirectional effects were assessed using cross-lagged, autoregressive analyses with the combined sample (Model 1) and grouped by gender (Model 2) to assess gender moderation. The results supported small bidirectional negative effects of social support and PTSS on one another from one assessment point (e.g. Wave 1) to the subsequent point (e.g., Wave 2) for all waves, ßs = -.07-.15, p < .001-p = .040. Multigroup analyses suggested the effects were not significantly different by gender. Overall, the results suggest that social support and PTSS may mutually diminish one another. Such effects may result in a positive or negative cascade wherein high PTSS may lead to lower social support and, therefore, even higher PTSS and vice versa. These findings support the importance of including social support in interventions to promote PTSS prevention and recovery.

Stressful life events and incident depression among U.S. military personnel.

PURPOSE: Although stressful life events (i.e., stressors) and depression are often assumed to be linked, the relation between stressors and incident depression is rarely studied, particularly in the military. The National Guard is a part-time subset of the U.S. military for whom civilian life stressors may be particularly salient, due to the soldiers' dual roles and frequent transitions between military and civilian life. METHODS: We used a dynamic cohort study of National Guard members from 2010 to 2016 to investigate the relationship between recent stressful experiences (e.g., divorce) and incident depression, with an exploratory analysis of effect modification by income. RESULTS: Respondents endorsing at least one of nine past-year stressful events (a time-varying exposure, lagged by 1 year) had almost twice the adjusted rate of incident depression compared to those with no stressful events (HR = 1.8; 95% CI 1.4, 2.4). This association may be modified by income: among individuals making under $80,000 per year, those with past-year stressors had twice the rate of depression compared to those with no stressors, but among those making over $80,000, past-year stressors were associated with only 1.2 times the rate of depression. CONCLUSION: Stressful life events outside of deployment are important determinants of incident depression among National Guard servicemembers, but the effect of these events may be buffered by higher income.

Risk of psychopathology following traumatic events among immigrants and native-born persons in Denmark.

PURPOSE: Immigrants may have increased risk of mental disorders compared with native-born persons. We aimed to expand the limited research on immigrants' posttraumatic psychopathology related to traumatic experiences in their country of resettlement. METHODS: We obtained data from a cohort of Danish residents with ≥ 1 traumatic event recorded in health and administrative national registries during 1994-2016. We calculated risks of posttraumatic stress disorder (PTSD), depression, and substance use disorders (SUD) within 5 years post-trauma among native-born Danes and immigrants who had been in Denmark for ≥ 10 years at the time of their index trauma (including immigrants overall and immigrants from specific regions). Risks were compared via age- and sex-standardized risk ratios (SRR) with 95% confidence intervals (CI). We restricted to persons with no record of the disorder under investigation in the 10 years pre-trauma, and stratified by non-interpersonal (e.g., transport accidents) versus interpersonal trauma (e.g., assaults). RESULTS: Following non-interpersonal trauma, immigrants were more likely than native-born Danes to be diagnosed with PTSD (SRR = 5.2, 95% CI 4.6, 5.9), about as likely to be diagnosed with depression (SRR = 0.98, 95% CI 0.92, 1.1), and less likely to be diagnosed with SUD (SRR = 0.89, 95% CI 0.82, 0.95). Results were similar following interpersonal trauma, except the SRR for PTSD was reduced in magnitude (SRR = 3.0, 95% CI 1.7, 5.4). There were differences by region of birth. CONCLUSION: Immigrants to Denmark have higher risk of PTSD following traumatic experiences than do native-born Danes, possibly due to the combined influence of adverse pre-, peri-, and/or post-migration experiences.

Longitudinal assessment of mental health after a flood: roles of social support, hope, recovery stressors, and prior lifetime trauma.

OBJECTIVES: Severe weather events have mental health consequences for survivors that may change over time. We assessed post-flood mental health longitudinally in three groups of mostly middle-aged and older adults who varied in current and prior severe weather experiences. METHOD: Predictors of central interest were age, perceived social support, state hope (including agency and pathways), recovery stressors, and prior lifetime trauma. Criterion variables included symptoms of depression, post-traumatic stress disorder (PTSD), and worry. RESULTS: Analyses of variance yielded significant Disaster Exposure Group x Wave interactions for depression and PTSD symptoms. Those with flooded homes and properties had elevated symptoms at Wave 1 which were reduced at Wave 2. Older age was associated with fewer symptoms of depression, PTSD, and worry. Recovery stressors and lifetime trauma predicted more PTSD symptoms. Greater agency predicted less PTSD and depression symptoms, whereas pathways predicted less worry. CONCLUSION: These data show that mental health symptoms may decrease over time for those directly impacted by severe flooding. State hope appears to contribute to better mental health after exposure to a devastating flood. Implications for understanding the dynamic relationships among risk variables and positive factors that promote post-disaster mental health in the years after a flood are considered.

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.

Religiosity and Social Support Predict Resilience in Older Adults After a Flood.

In this study, we examined religiosity and social support as predictors of resilience after a devastating flood. Three flood exposure groups of primarily middle-aged and older adults were compared: (1) non-flooded adults as controls, (2) once-flooded adults with structural damage to homes and property in the 2016 flood, and (3) twice-flooded adults who had relocated inland because of prior catastrophic losses in the 2005 Hurricanes Katrina and Rita and then flooded again in 2016. Resilience was assessed using the Connor-Davidson Resilience Scale (CD-RISC). Correlation analyses confirmed that older age was correlated with higher religiosity, charitable work done for others, and resilience. Regression analyses indicated that religious beliefs and coping, social support, and charitable work done for others were associated with higher levels of resilience, whereas flood damage was unrelated to resilience. Implications for current views on post-disaster adversity and resilience in later life are discussed.

Invited Commentary: Toward a Better Understanding of Disparities in Overdose Mortality.

The United States has been in the grip of an epidemic of drug overdose mortality for the past few decades, and deaths from drug overdose increased dramatically during the coronavirus disease 2019 pandemic. Townsend et al. (Am J Epidemiol. 2022;191(4):599-612) add to the growing literature highlighting the steep rise of drug overdose mortality among racial and ethnic minorities in the country. Using data from National Center for Health Statistics death certificates and employing principles of small-area estimation and a Bayesian hierarchical model to stabilize the estimates of smaller racial/ethnic groups and states, the authors found that combinations of opioid/stimulant drug overdose deaths saw a steep increase among racial and ethnic minorities, particularly Black Americans, between 2007 and 2019. The results from their analysis highlight the need to change the narrative around opioid deaths, to invest in targeted policies that address the growing burden of drug overdose faced by racial/ethnic minorities, and the importance of using innovative methods to address limitations to data disaggregation. The paper also demonstrates the importance of a holistic view of the challenges to the health of the American public.