State COVID-19 Policies and Drug Overdose Mortality Among Working-Age Adults in the United States, 2020.

Objectives. To identify relationships between US states' COVID-19 in-person activity limitation and economic support policies and drug overdose deaths among working-age adults in 2020. Methods. We used county-level data on 140 435 drug overdoses among adults aged 25 to 64 years during January 2019 to December 2020 from the National Vital Statistics System and data on states' COVID-19 policies from the Oxford COVID-19 Government Response Tracker to assess US trends in overdose deaths by sex in 3138 counties. Results. Policies limiting in-person activities significantly increased, whereas economic support policies significantly decreased, overdose rates. A 1-unit increase in policies restricting activities predicted a 15% average monthly increase in overdose rates for men (incident rate ratio [IRR] = 1.15; 95% confidence interval [CI] = 1.09, 1.20) and a 14% increase for women (IRR = 1.14; 95% CI = 1.09, 1.20). A 1-unit increase in economic support policies predicted a 3% average monthly decrease for men (IRR = 0.97; 95% CI = 0.95, 1.00) and a 4% decrease for women (IRR = 0.96; 95% CI = 0.93, 0.99). All states' policy combinations are predicted to have increased drug-poisoning mortality. Conclusions. The economic supports that states enacted were insufficient to fully mitigate the adverse relationship between activity limitations and drug overdoses. (Am J Public Health. Published online ahead of print May 2, 2024:e1-e9. https://doi.org/10.2105/AJPH.2024.307621).

Geographically specific associations between county-level socioeconomic and household distress and mortality from drug poisoning, suicide, alcohol, and homicide among working-age adults in the United States.

Background: Mortality rates from drug poisoning, suicide, alcohol, and homicide vary significantly across the United States. This study explores localized relationships (i.e., geographically specific associations) between county-level economic and household distress and mortality rates from these causes among working-age adults (25-64). Methods: Mortality data were from the National Vital Statistics System for 2014-2019. County-level socioeconomic distress (poverty, employment, income, education, disability, insurance) and household distress (single-parent, no vehicle, crowded housing, renter occupied) were from the 2009-2013 American Community Survey. We conducted Ordinary Least Squares (OLS) regression to estimate average associations and Geographically Weighted Regression (GWR) to estimate localized spatial associations between county-level distress and working-age mortality. Results: In terms of national average associations, OLS results indicate that a one standard deviation increase in socioeconomic distress was associated with an average of 6.1 additional drug poisoning deaths, 3.0 suicides, 2.1 alcohol-induced deaths, and 2.0 homicides per 100,000 population. A one standard deviation increase in household distress was associated with an average of 1.4 additional drug poisonings, 4.7 alcohol-induced deaths, and 1.1 homicides per 100,000 population. However, the GWR results showed that these associations vary substantially across the U.S., with socioeconomic and household distress associated with significantly higher mortality rates in some parts of the U.S than others, significantly lower rates in other parts of the U.S., and no significant associations in others. There were also some areas where distress overlapped to influence multiple causes of death, in a type of compounded disadvantage. Conclusions: Socioeconomic and household distress are significant and substantial predictors of higher rates of drug poisoning mortality, suicide, alcohol-induced deaths, and homicide in specific regions of the U.S. However, these associations are not universal. Understanding the place-level factors that contribute to them can inform geographically tailored strategies to reduce rates from these preventable causes of death in different places.

Geographic Variation, Economic Activity, and Labor Market Characteristics in Trajectories of Suicide in the United States, 2008-2020.

Suicide rates in the United States have increased over the past 15 years, with substantial geographic variation in these increases; yet there have been few attempts to cluster counties by the magnitude of suicide rate changes according to intercept and slope or to identify the economic precursors of increases. We used vital statistics data and growth mixture models to identify clusters of counties by their magnitude of suicide growth from 2008 to 2020 and examined associations with county economic and labor indices. Our models identified 5 clusters, each differentiated by intercept and slope magnitude, with the highest-rate cluster (4% of counties) being observed mainly in sparsely populated areas in the West and Alaska, starting the time series at 25.4 suicides per 100,000 population, and exhibiting the steepest increase in slope (0.69/100,000/year). There was no cluster for which the suicide rate was stable or declining. Counties in the highest-rate cluster were more likely to have agricultural and service economies and less likely to have urban professional economies. Given the increased burden of suicide, with no clusters of counties improving over time, additional policy and prevention efforts are needed, particularly targeted at rural areas in the West.

U.S. States' COVID-19 physical distancing policies and working-age adult mental health outcomes.

In the early months of the COVID-19 pandemic, states enacted multiple policies to reduce in-person interactions. Scholars have speculated that these policies may have contributed to adverse mental health outcomes. This study examines potential associations between states' COVID-19 physical distancing policies and working-age (18-64) adults' self-reported mental health. Mental health outcomes (depression, anxiety, worsened mental health, and sought treatment for anxiety or depression) are from the National Wellbeing Survey collected from working-age adults in the United States (U.S.) February 1 to March 18, 2021 (N = 3,804). Data on 12 state policies are from the COVID-19 U.S. State Policy Database. Analyses included logistic regression and Bayesian group index modeling, which identified sets, or "bundles," of policies that were associated with each mental health outcome. Multiple policies (both separately and in bundles) were associated with adverse mental health outcomes, with certain policies (closures and curfews on retail and other businesses) being particularly important. A one-month increase in exposure to respective model-derived physical distancing policy bundles was associated with a 36% increase in the odds of reporting that COVID-19 worsened one's mental health (odds ratio [OR] = 1·36; 95% credible interval [CRI] = 1·01 to 1·80), a 6% increase in the odds of meeting the clinical threshold for anxiety (OR = 1·06; CRI = 0·99 to 1·16), and a 15% increase in the odds of seeking treatment for anxiety or depression (OR = 1·15; CRI = 1·02 to 1·49). To accurately understand the role of states' COVID-19 policies on mental health during the pandemic, researchers must consider how collections of policies might influence outcomes.

Age differences in Allostatic Load among adults in the United States by rural-urban residence.

•Rural residence is associated with allostatic load levels by age groups.•Allostatic load is higher among rural adults with the exception of the oldest age group.•Evidence of a rural-urban convergence in allostatic load levels among oldest old.•These rural disadvantages remained strong even when accounting for covariates.•The study of allostatic load can improve our understanding of rural disparities.

Explaining the U.S. rural disadvantage in COVID-19 case and death rates during the Delta-Omicron surge: The role of politics, vaccinations, population health, and social determinants.

The Delta-Omicron wave of the COVID-19 pandemic (Wave 4) in the United States occurred in Fall of 2021 through Spring of 2022. Although vaccinations were widely available, this was the deadliest period to date in the U.S., and the toll was especially high in rural areas, exacerbating an existing rural mortality penalty. This paper uses county-level multilevel regression models and publicly available data for 47 U.S. states and the District of Columbia. We describe differences in COVID-19 case and mortality rates across the rural-urban continuum during Wave 4 of the COVID-19 pandemic. Using a progressive modeling approach, we evaluate the relative contribution of a range of explanatory factors for the rural disadvantage we observe, including: pre-pandemic population health composition, vaccination rates, political partisanship, socioeconomic composition, access to broadband internet rate, and primary care physicians per capita. Results show that rural counties had higher observed burdens of cases and deaths in Wave 4 compared to more urban counties. The most remote rural counties had Wave 4 COVID-19 mortality rates 52% higher than the most urban counties. Older age composition, worse pre-pandemic population health, lower vaccination rates, higher share of votes cast for Donald Trump in the 2020 Presidential election, and lower socioeconomic composition completely explained the rural disadvantage in reported COVID-19 case rates in Wave 4, and accounting for these factors reversed the observed rural disadvantage in COVID-19 mortality. In models of mortality rate, Trump vote share had the largest effect size, followed by the percentage of the population age 50 or older, the poverty rate, the pre-pandemic mortality rate, the share of residents with a 4-year college degree, and the vaccination rate. These findings add to a growing literature describing the disproportionate toll of the COVID-19 pandemic on rural America, highlighting the combined effect of multiple sources of rural disadvantage.

Prescription Opioid Resiliency and Vulnerability: A Mixed-Methods Comparative Case Study.

Despite declines in prescription opioid overdoses, rural areas continue to have higher prescription opioid overdose rates than urban areas. We aim to understand high overdose places were resilient to the prescription opioid overdose crisis (better than predicted), while others were vulnerable (worse than predicted). First, we predicted prescription opioid overdose mortality in 2016-18 for N = 2,013 non-metropolitan counties using multivariable regression accounting. Second, we constructed a resiliency-vulnerability typology using observed, predicted, and residual values from the regression. Third, we selected a high-overdose resilient and vulnerable community for case study analysis using interviews, focus groups, and observations. High-overdose resilient and vulnerable places had disability-dispensing-overdose pathways, legacies of mining, and polysubstance drug abuse. Resilient places were larger population micropolitans with extensive health and social services, norms of redemption and acceptance of addiction, and community-wide mobilization of public and non-profit resources. Vulnerable places were smaller, more remote, lacked services, and stigmatized addiction.

U.S. state policy contexts and mortality of working-age adults.

The rise in working-age mortality rates in the United States in recent decades largely reflects stalled declines in cardiovascular disease (CVD) mortality alongside rising mortality from alcohol-induced causes, suicide, and drug poisoning; and it has been especially severe in some U.S. states. Building on recent work, this study examined whether U.S. state policy contexts may be a central explanation. We modeled the associations between working-age mortality rates and state policies during 1999 to 2019. We used annual data from the 1999-2019 National Vital Statistics System to calculate state-level age-adjusted mortality rates for deaths from all causes and from CVD, alcohol-induced causes, suicide, and drug poisoning among adults ages 25-64 years. We merged that data with annual state-level data on eight policy domains, such as labor and taxes, where each domain was scored on a 0-1 conservative-to-liberal continuum. Results show that the policy domains were associated with working-age mortality. More conservative marijuana policies and more liberal policies on the environment, gun safety, labor, economic taxes, and tobacco taxes in a state were associated with lower mortality in that state. Especially strong associations were observed between certain domains and specific causes of death: between the gun safety domain and suicide mortality among men, between the labor domain and alcohol-induced mortality, and between both the economic tax and tobacco tax domains and CVD mortality. Simulations indicate that changing all policy domains in all states to a fully liberal orientation might have saved 171,030 lives in 2019, while changing them to a fully conservative orientation might have cost 217,635 lives.

Support from Adult Children and Parental Health in Rural America.

Adult children are a primary source of care for their aging parents. Parents in rural areas, however, live further from their adult children than parents in urban areas, potentially limiting the support they receive and compromising their health and ability to age in place. We use two waves of the Panel Study of Income Dynamics (2013 and 2017) to investigate the relationships among geographic proximity, adult children's instrumental and financial support, and parental health. Rural parents live further from their adult children and receive less financial support, but they are more likely to receive instrumental assistance. In addition, rural parents have worse health and more functional limitations than urban parents, and these differences persist after controlling for proximity to and support from adult children. Our findings indicate that factors beyond proximity influence the complex relationships between spatial and social boundaries and their consequences for older adults' health and well-being.

U.S. State Preemption Laws and Working-Age Mortality.

INTRODUCTION: The goal of this study was to estimate how state preemption laws that prohibit local authority to raise the minimum wage or mandate paid sick leave have contributed to working-age mortality from suicide, homicide, drug overdose, alcohol poisoning, and transport accidents. METHODS: County-by-quarter death counts by cause and sex for 1999-2019 were regressed on minimum wage levels and hours of paid sick-leave requirements, controlling for time-varying covariates and place- and time-specific fixed effects. The model coefficients were then used to predict expected reductions in mortality if the preemption laws were repealed. Analyses were conducted during January 2022-April 2022. RESULTS: Paid sick-leave requirements were associated with lower mortality. These associations were statistically significant for suicide and homicide deaths among men and for homicide and alcohol-related deaths among women. Mortality may decline by more than 5% in large central metropolitan counties currently constrained by preemption laws if they were able to mandate a 40-hour annual paid sick-leave requirement. CONCLUSIONS: State legislatures' preemption of local authority to enact health-promoting legislation may be contributing to the worrisome trends in external causes of death.

Rural Population Health and Aging: Introduction to the Special Issue.

This special issue of the Journal of Rural Social Sciences (JRSS) focuses on rural population health and aging. It showcases the work of scholars from several backgrounds and social science disciplines to advance knowledge in a critical field of investigation. Assembled through an open call for submissions coordinated through the National Institute on Aging (NIA) funded Interdisciplinary Network on Rural Population Health and Aging (INRPHA), the collection of articles helps inform a more nuanced understanding of the factors associated with rural places, which often have different health outcomes and aging patterns than their urban counterparts. The authors achieve this through application of innovative analytical strategies used with a combination of data sources. This introductory essay provides background and an overview of the four articles, followed by discussion of future opportunities to advance an agenda for rural population health and aging research.

Perceived impacts of COVID-19 on wellbeing among US working-age adults with ADL difficulty.

BACKGROUND: The COVID-19 pandemic has disproportionately impacted people with disabilities. Working-age adults with ADL difficulty may face unique challenges and heightened health risks because of the pandemic. It is critical to better understand the impacts of COVID-19 on social, financial, physical, and mental wellbeing among people with disabilities to inform more inclusive pandemic response policies. OBJECTIVE: This study compares perceived COVID-19 physical and mental health, social, and financial impacts for US working-age adults with and without ADL difficulty. METHODS: We analyzed data from a national survey of US working-age adults (aged 18-64) conducted in February and March 2021 (N = 3697). We used logistic regression to compare perceived COVID-19-related impacts on physical and mental health, healthcare access, social relationships, and financial wellbeing among those with and without ADL difficulty. RESULTS: Adults with ADL difficulty were more likely to report negative COVID-19 impacts for many but not all outcomes. Net of covariates, adults with ADL difficulty had significantly greater odds of reporting COVID-19 infection (OR = 2.1) and hospitalization (OR = 6.7), negative physical health impacts (OR = 2.0), and negative impacts on family relationships (OR = 1.6). However, they had significantly lower odds of losing a friend or family member to COVID-19 (OR = 0.7). There were no significant differences in perceived impacts on mental health, ability to see a doctor, relationships with friends, or financial wellbeing. CONCLUSIONS: Working-age adults with ADL difficulty experienced disproportionate health and social harm due to the COVID-19 pandemic. To address these disparities, public health response efforts and social policies supporting pandemic recovery must include disability perspectives.

Enhancing the Utility of the Health and Retirement Study (HRS) to Identify Drivers of Rising Mortality Rates in the United States.

A recent report from the National Academies of Sciences, Engineering, and Medicine (NASEM) highlights rising rates of working-age mortality in the United States, portending troubling population health trends for this group as they age. The Health and Retirement Study (HRS) is an invaluable resource for researchers studying health and aging dynamics among Americans ages 50 and above and has strong potential to be used by researchers to provide insights about the drivers of rising U.S. mortality rates. This paper assesses the strengths and limitations of HRS data for identifying drivers of rising mortality rates in the U.S. and provides recommendations to enhance the utility of the HRS in this regard. Among our many recommendations, we encourage the HRS to prioritize the following: link cause of death information to respondents; reduce the age of eligibility for inclusion in the sample; increase the rural sample size; enhance the existing HRS Contextual Data Resource by incorporating longitudinal measures of structural determinants of health; develop additional data linkages to capture residential settings and characteristics across the life course; and add measures that capture drug use, gun ownership, and social media use.

Self-Rated Physical Health Among Working-Aged Adults Along the Rural-Urban Continuum - United States, 2021.

Poor self-rated physical health is strongly associated with morbidity and premature mortality (1,2). Studies that are now a decade old report worse self-rated health among rural than among urban residents (3,4). Whether the rural disadvantage persists in 2021 is uncertain and the contributing factors to contemporary rural-urban variations in self-rated health are not known. Rural America is diverse by population size and adjacency to metropolitan areas, and rural populations vary demographically and socioeconomically. This analysis used data from the National Well-being Survey (NWS), a national sample of approximately 4,000 U.S. working-aged adults conducted during February and March 2021 to examine differences in self-rated physical health among residents of large urban; medium/small urban; metro-adjacent rural; and remote rural counties. Residents of medium/small urban, metro-adjacent rural, and remote rural counties had significantly higher probabilities of reporting fair/poor self-rated physical health than their large urban county peers. There were no significant differences by sex or race/ethnicity in self-rated physical health. Individual-level socioeconomic resources (including higher educational attainment, higher household income, and higher probability of employment) contributed to the advantage among residents of large urban counties. Although there is no single solution to reducing rural-urban health disparities, these findings suggest that reducing socioeconomic disparities is essential.

Racial/ethnic differences in clusters of adverse childhood experiences and associations with adolescent mental health.

Childhood adversity is a well-established risk factor for mental health problems during adolescence. Using data from the Fragile Families and Child Wellbeing Study and latent class analysis (LCA), we examined patterns of exposure to ten adverse childhood experiences (ACEs), including socioeconomic adversity, among non-Hispanic (NH) White, NH Black, and Hispanic 9 year olds and determined associations between membership in ACE exposure "classes" and depression and anxiety scores at age 15 (N = 2849). Parental separation/divorce, economic hardship, and paternal incarceration were the most common ACEs. ACE prevalence was significantly higher among Blacks and Hispanics. ACEs clustered into four classes for Whites and Hispanics and three classes for Blacks. Over half of Whites were classified in the 'Low Adversity' class. Conversely, most Black and Hispanic adolescents were classified in the 'High Socioeconomic Adversity and Paternal Incarceration' class, characterized by above average probabilities of experiencing family economic hardship, parental separation/divorce, low maternal education, and paternal incarceration. A small share of adolescents in all three racial/ethnic groups were in the 'High Global Adversity' class, characterized by high probability of exposure to most ACEs, including physical and psychological abuse. Finally, ACE class membership was differentially associated with anxiety and depression across the three racial/ethnic groups, with generally larger differences in mental health scores across ACE groups for Whites than for Blacks and Hispanics. Our findings suggest that studies on the associations between ACEs and health outcomes that do not include childhood economic adversity risk underestimating the role of ACEs on mental health among racial/ethnic minorities. Moreover, different patterns of ACE exposure are differentially linked to anxiety and depression, and ACE group membership differences in anxiety and depression vary by racial/ethnic group. Findings suggest the need for racially tailored prevention and intervention strategies.

Demographic and Geographic Variation in Fatal Drug Overdoses in the United States, 1999-2020.

The U.S. drug overdose crisis has been described as a national disaster that has affected all communities. But overdose rates are higher among some subpopulations and in some places than they are in others. This article describes demographic (sex, racial/ethnic, age) and geographic variation in fatal drug overdose rates in the United States from 1999 to 2020. Across most of that timespan, rates were highest among young and middle-age (25-54 years) White and American Indian males and middle-age and older (45+ years) Black males. Rates have been consistently high in Appalachia, but the crisis has spread to several other regions in recent years, and rates are high across the urban-rural continuum. Opioids have been the main contributor, but overdoses involving cocaine and psychostimulants have also increased dramatically in recent years, demonstrating that our problem is bigger than opioids. Evidence suggests that supply-side interventions are unlikely to be effective in reducing overdoses. I argue that the U.S. should invest in policies that address the upstream structural drivers of the crisis.

Sociospatial Disparities in "Third Place" Availability in the United States.

Tertiary to home and work, "third places" serve as opportunity structures that transmit information and facilitate social capital and upward mobility. However, third places may be inequitably distributed, thereby exacerbating disparities in social capital and mobility. The authors use tract-level data from the National Neighborhood Data Archive to examine the distribution of third places across the United States. There were significant disparities in the availability of third places. Higher poverty rates were associated with fewer third places. Tracts with the smallest shares of Black and Hispanic populations had comparatively more third places. However, this racial disadvantage was not linear, suggesting potential buffering effects in places with the largest shares of Black and Hispanic populations. There was also a rural disadvantage, except in the most isolated rural tracts. This study demonstrates the value of conceptualizing and measuring third places to understand sociospatial disparities in the availability of these understudied opportunity structures.

Rural-urban and within-rural differences in COVID-19 vaccination rates.

PURPOSE: COVID-19 mortality rates are higher in rural versus urban areas in the United States, threatening to exacerbate the existing rural mortality penalty. To save lives and facilitate economic recovery, we must achieve widespread vaccination coverage. This study compared adult COVID-19 vaccination rates across the US rural-urban continuum and across different types of rural counties. METHODS: We retrieved vaccination rates as of August 11, 2021, for adults aged 18+ for the 2,869 counties for which data were available from the CDC. We merged these with county-level data on demographic and socioeconomic composition, health care infrastructure, 2020 Trump vote share, and USDA labor market type. We then used regression models to examine predictors of COVID-19 vaccination rates across the USDA's 9-category rural-urban continuum codes and separately within rural counties by labor market type. FINDINGS: As of August 11, 45.8% of adults in rural counties had been fully vaccinated, compared to 59.8% in urban counties. In unadjusted regression models, average rates declined monotonically with increasing rurality. Lower rural rates are explained by a combination of lower educational attainment and higher Trump vote share. Within rural counties, rates are lowest in farming and mining-dependent counties and highest in recreation-dependent counties, with differences explained by a combination of educational attainment, health care infrastructure, and Trump vote share. CONCLUSION: Lower vaccination rates in rural areas is concerning given higher rural COVID-19 mortality rates and recent surges in cases. At this point, mandates may be the most effective strategy for increasing vaccination rates.

Opioid misuse and family structure: Changes and continuities in the role of marriage and children over two decades.

BACKGROUND: The opioid crisis is widely felt in the United States. Scholarly attention to the crisis focuses on macro-level processes and largely neglects meso-level explanations such as family structure for opioid use behaviors. We hypothesize that married adults and adults with coresident children are at lower risk of misusing prescription pain relievers (PPR), using heroin, and using needles to inject heroin relative to adults from other family structures. METHOD: We used National Survey on Drug Use and Health data from 2002-2018 to test our hypotheses with multivariable logistic regression. RESULTS: We found that married adults have a lower predicted probability of each opioid use behavior relative to nonmarried adults across the study period. We also found that the presence of children is associated with reductions in all three outcomes especially for never married adults. CONCLUSION: Individuals from all family structures are vulnerable to the opioid crisis, but never married adults without coresident children ("disconnected adults") are especially susceptible to temporal fluctuations and drive the temporal trends in PPR misuse and heroin use. These findings suggest that ongoing demographic trends where disconnected adults are a growing population may result in future rises in opioid use disorders and mortality because of divestment from U.S. social safety nets. Future research should examine the role of U.S. policies that make disconnected adults especially vulnerable to developing opioid use disorders.