Do U.S. states' socioeconomic and policy contexts shape adult disability?

Institutional Context Shapes the Physical Health of College Graduates Differently for U.S. White, Black, and Hispanic Adults

Greater educational attainment is generally associated with healthier and longer lives. However, important heterogeneity in who benefits from educational attainment, how much, and why remains underexplored. In particular, in the United States, the physical health returns to educational attainment are not as large for minoritized racial and ethnic groups compared with individuals racialized as White. Yet, our current understanding of ethnoracial differences in educational health disparities is limited by an almost exclusive focus on the quantity of education attained without sufficient attention to heterogeneity within educational attainment categories, such as different institution types among college graduates. Using biomarker data from the National Longitudinal Study of Adolescent to Adult Health (Add Health), we test whether the physical health of college graduates in early adulthood (aged 24-32) varies by institution type and for White, Black, and Hispanic adults. In considering the role of the college context, we conceptualize postsecondary institutions as horizontally stratified and racialized institutional spaces with different implications for the health of their graduates. Finally, we quantify the role of differential attendance at and returns to postsecondary institution type in shaping ethnoracialized health disparities among college graduates in early adulthood.

Food insecurity gaps in the Supplemental Nutrition Assistance Program based on disability status

BACKGROUND

Households including someone with disabilities experience disproportionately high food insecurity rates and likely face disproportionate barriers accessing Supplemental Nutrition Assistance Program (SNAP) benefits.

OBJECTIVE

This article aims to examine the role of SNAP with regard to food insecurity disparities based on disability status.

METHODS

Modified Poisson regression models examined food insecurity risk based on disability status (household includes no one with disabilities vs. those with work-limiting disabilities or non-work-limiting disabilities) among 2018 Survey of Income and Program Participation households eligible for SNAP (income ≤130% of the poverty threshold). Weighted estimates were used to account for the study design and non-response.

RESULTS

Households including someone with work-limiting disabilities were more than twice as likely to be food insecure than households including no one with disabilities (PR = 2.16, 95% CI: 1.90, 2.45); households including someone with non-work-limiting disabilities were 65% more likely (PR = 1.65, 95% CI: 1.39, 1.95). However, disparities were more pronounced among households not participating in SNAP (PR = 2.67, 95% CI: 2.22, 3.23 for work-limiting disabilities and PR = 1.86, 95% CI: 1.44, 2.40 for non-work-limiting disabilities) than SNAP-participating households (PR = 1.71, 95% CI: 1.45, 2.03 and PR = 1.46, 95% CI: 1.17, 1.82, respectively). Approximately 4.2 million low-income U.S. households including someone with disabilities are food insecure. Of these, 1.4 million were not participating in SNAP and another 2.8 million households were food insecure despite participating in SNAP.

CONCLUSIONS

Access to SNAP benefits is not proportionate to the scale of food insecurity among households that include people with disabilities. Action is needed to strengthen food assistance for those with disabilities.

Educational disparities in joint pain within and across US states: do macro sociopolitical contexts matter?

ABSTRACT

Despite growing recognition of the importance of social, economic, and political contexts for population health and health inequalities, research on pain disparities relies heavily on individual-level data, while neglecting overarching macrolevel factors such as state-level policies and characteristics. Focusing on moderate or severe arthritis-attributable joint pain-a common form of pain that considerably harms individuals' quality of life-we (1) compared joint pain prevalence across US states; (2) estimated educational disparities in joint pain across states; and (3) assessed whether state sociopolitical contexts help explain these 2 forms of cross-state variation. We linked individual-level data on 407,938 adults (ages 25-80 years) from the 2017 Behavioral Risk Factor Surveillance System with state-level data on 6 measures (eg, the Supplemental Nutrition Assistance Program [SNAP], Earned Income Tax Credit, Gini index, and social cohesion index). We conducted multilevel logistic regressions to identify predictors of joint pain and inequalities therein. Prevalence of joint pain varies strikingly across US states: the age-adjusted prevalence ranges from 6.9% in Minnesota to 23.1% in West Virginia. Educational gradients in joint pain exist in all states but vary substantially in magnitude, primarily due to variation in pain prevalence among the least educated. At all education levels, residents of states with greater educational disparities in pain are at a substantially higher risk of pain than peers in states with lower educational disparities. More generous SNAP programs (odds ratio [OR] = 0.925; 95% confidence interval [CI]: 0.963-0.957) and higher social cohesion (OR = 0.819; 95% CI: 0.748-0.896) predict lower overall pain prevalence, and state-level Gini predicts higher pain disparities by education.

Income Support Policy Packages and Birth Outcomes in U.S. States: An Ecological Analysis

Research suggests that generous social welfare programs play a role in maternal and child health. However, most studies examine a single policy in isolation. Drawing from research documenting low-income families 'packaging' of social policies, we create a novel measure summarizing the value of a collection of income support policies for the working poor. This collection includes: the Supplemental Nutrition Assistance Program (SNAP), the Earned Income Tax Credit (EITC), the minimum wage, and the unemployment insurance (UI) program. Using U.S. state-level administrative data from 1996 to 2014, we estimate fixed effects regression models to examine the relationship between birth outcomes and income support policies (individually and combined). We find that increases in the combined value of the four income supports are significantly associated with reductions in preterm births and low birthweight births, but not infant mortality rates. States with the highest observed levels of combined income support had 14% fewer PTBs and 7% fewer LBWs than states with the lowest levels of income support. Of the four individual income support policies, only unemployment insurance has no significant independent effects. SNAP benefits have the largest and most consistent effects, reducing poor birth outcomes across all three indicators. An annual increase of $1000 in SNAP benefits is associated with a 3% decline in infant deaths, 5% decline in preterm births, and 2% decline in low birthweight births. These results suggest that increasing the generosity of income support policies may be a promising strategy for improving birth outcomes in the United States.

Dynamic Changes in the Association Between Education and Health in the United States

Policy Points We reviewed some of the recent advances in education and health, arguing that attention to social contextual factors and the dynamics of social and institutional change provide critical insights into the ways in which the association is embedded in institutional contexts. Based on our findings, we believe incorporating this perspective is fundamentally important to ameliorate current negative trends and inequality in Americans' health and longevity.

Association between ideal cardiovascular health and multiple disabilities among US adults, BRFSS 2017-2019

OBJECTIVES

Cardiovascular health is the leading cause of death and disability in the United States. Our objective was to estimate the association between ideal cardiovascular health (ICVH) and multiple disabilities among US adults stratified into the three age groups of young (18-44 years), midlife (45-64 years), and older adults (≥65 years).

STUDY DESIGN

We conducted a cross-sectional analysis using data pooled from the 2017 and 2019 Behavioral Risk Factor Surveillance System (BRFSS).

METHODS

Using American Heart Association's seven-component (four ideal behaviors and three ideal health factors) scoring tool, we identified ICVH as a composite score ≥5 and also computed the ideal behavioral (score ≥3) and ideal health factors (score = 3) submetrics. The outcome, single vs multiple disabilities indicator, was defined using US Census's disability domains and analyzed using multinomial regression.

RESULTS

For all three groups, the prevalence of multiple disabilities was significantly lower among those meeting ICVH, ideal behavioral, and ideal health factors compared with those that did not. After controlling for covariates, ICVH score ≥5 was associated with lower relative risk of multiple disabilities in all groups. Although both ideal health and ideal behavioral factors were associated with lower relative risk of multiple disabilities among all groups, the reduction in risk was the highest for multiple disabilities and ideal behavioral factors among midlife (relative risk ratio: 0.30, 95% confidence interval: 0.25, 0.36) and older adults (relative risk ratio: 0.40, 95% confidence interval: 0.33, 0.48).

CONCLUSION

Adults with less-than-ideal cardiovascular health had a higher relative risk of multiple disabilities. Addressing the risk of multiple disabilities of US adults will require effective promotion of ICVH.

Income Inequality and Population Health: Examining the Role of Social Policy

Studies of the relationship between income inequality and life expectancy often speculate about the role of policy, but direct empirical research is limited. Drawing on the neo-materialist perspective, we examine whether the longitudinal association between income inequality and life expectancy is mediated and moderated by policy liberalism in U.S. states (2000-2014). More liberal policy contexts are characterized by greater efforts to regulate the economy, redistribute income, and protect vulnerable groups and lesser efforts to penalize deviant social behavior. We find that state-level income inequality is inversely associated with policy liberalism and life expectancy. The association between income inequality and life expectancy was not mediated by policy liberalism but was moderated by it. The association is attenuated in states with more liberal policy contexts, supporting the neo-materialist perspective. This finding illustrates how states like New York and California (with liberal policy contexts) can exhibit high income inequality and high life expectancy.

Social Spending and Educational Gaps in Infant Health in the United States, 1998-2017

Recent expansions of child tax, food assistance, and health insurance programs have made American families' need for a robust social safety net highly evident, while researchers and policymakers continue to debate the best way to support families via the welfare state. How much do children-and which children-benefit from social spending? Using the State-by-State Spending on Kids Dataset, linked to National Vital Statistics System birth data from 1998 to 2017, we examine how state-level child spending affects infant health across maternal education groups. We find that social spending has benefits for both low birth weight and preterm birth rates, especially among babies born to mothers with less than a high school education. The stronger benefits of social spending among lower educated families lead to meaningful declines in educational gaps in infant health as social spending increases. Our findings are consistent with the idea that a strong local welfare state benefits infant health and increases equality of opportunity, and that spending on nonhealth programs is equally beneficial for infant health as investments in health programs.

Women's Health: Population Patterns and Social Determinants

Women's health, and what we know about it, are influenced by social factors. From the exclusion of women's bodies in medical research, to the silence and stigma of menstruation and menopause, to the racism reflected in maternal mortality, the relevance of social factors is paramount. After a brief history of research on women's health, we review selected patterns, trends, and inequalities in US women's health. These patterns reveal US women's poor and declining longevity relative to those in other high-income countries, gaps in knowledge about painful and debilitating conditions that affect millions of women, and deep inequalities that underscore the need to redress political and structural features of US society that enhance health for some and diminish it for others. We close by describing the challenges and opportunities for future research, and the promise of a social determinants of health approach for advancing a multilevel, intersectional, and biosocial understanding of women's health.

The intersection of welfare stigma, state contexts and health among mothers receiving public assistance benefits

The stigmatizing nature of the US welfare system is of particular importance not only because it has shown to deter eligible applicants from participating in public assistance programs despite facing economic hardship, but also because stigma is an important fundamental cause of health inequities. Although scholars agree stigma is shaped by individual and contextual dimensions, the role of context is often overlooked. Given the heterogeneous nature of US state welfare environments, it may be critical to consider the ways in which state policy, social and economic contexts condition the relationship between welfare stigma and health. Using a multilevel lens, this study first examined the impact of experienced and perceived welfare stigma on self-reported health among female public assistance recipients with children. Second, we assessed the moderating effect of uneven state TANF policies, income inequality, and negative public welfare attitudes in shaping these associations. Using data from the Fragile Families and Child Wellbeing Study merged with state-level economic and social measures, we employed a series of multilevel logit models with random effects. Findings show experiences and perceptions of welfare stigma are significantly linked to poor health regardless of state contexts, and outcomes vary markedly by race, ethnicity and education. States with strong anti-welfare attitudes amplified the relationship between experienced welfare stigma and poor health for Black and Hispanic mothers, and state economic contexts modified the relationship between experienced welfare stigma and poor health for mothers with less than a high school education. TANF generosity had no moderating effect on health suggesting state policy environments have limited ability to protect welfare recipients against the stigmatizing effects of the US welfare system. Results have implications for explaining stigma related disparities in health within the context of U.S. welfare environments and informing policies that may be key levers for reducing health inequities.

Decomposing County-Level Working-Age Mortality Trends in the United States Between 1999-2001 and 2015-2017

Studies have documented significant geographic divergence in U.S. mortality in recent decades. However, few studies have examined the extent to which county-level trends in mortality can be explained by national, state, and metropolitan-level trends, and which county-specific factors contribute to remaining variation. Combining vital statistics data on deaths and Census data with time-varying county-level contextual characteristics, we use a spatially explicit Bayesian hierarchical model to analyze the associations between working-age mortality, state, metropolitan status and county-level socioeconomic conditions, family characteristics, labor market conditions, health behaviors, and population characteristics between 2000 and 2017. Additionally, we employ a Shapley decomposition to illustrate the additive contributions of each changing county-level characteristic to the observed mortality change in U.S. counties between 1999-2001 and 2015-2017 over and above national, state, and metropolitan-nonmetropolitan mortality trends. Mortality trends varied by state and metropolitan status as did the contribution of county-level characteristics. Metropolitan status predicted more of the county-level variance in mortality than state of residence. Of the county-level characteristics, changes in percent college-graduates, smoking prevalence and the percent of foreign-born population contributed to a decline in all-cause mortality over this period, whereas increasing levels of poverty, unemployment, and single-parent families and declines manufacturing employment slowed down these improvements, and in many nonmetropolitan areas were large enough to overpower the positive contributions of the protective factors.

Unemployment Insurance and Opioid Overdose Mortality in the United States

Over the past two decades, opioid overdose deaths contributed to the dramatic rise in all-cause mortality among non-Hispanic Whites. To date, efforts among scholars to understand the role of local area labor market conditions on opioid overdose mortality have led to mixed results. We argue the reason for these disparate findings is scholars have not considered the moderating effects of income support policies such as unemployment insurance. The present study leverages two sources of variation-county mass layoffs and changes in the generosity of state unemployment insurance benefits-to investigate if unemployment benefits moderate the relationship between job loss and county opioid overdose death rates. Our difference-in-differences estimation strategy reveals that the harmful effects of job loss on opioid overdose mortality decline with increasing state unemployment insurance benefit levels. These findings suggest that social policy in the form of income transfers played a crucial role in disrupting the link between job loss and opioid overdose mortality.

Public Investments and Class Gaps in Parents' Developmental Expenditures

Families and governments are the primary sources of investment in children, providing access to basic resources and other developmental opportunities. Recent research identifies significant class gaps in parental investments that contribute to high levels of inequality by family income and education. State-level public investments in children and families have the potential to reduce class inequality in children's developmental environments by affecting parents' behavior. Using newly assembled administrative data from 1998-2014, linked to household-level data from the Consumer Expenditure Survey, we examine how public sector investment in income support, health and education is associated with the private expenditures of low and high-SES parents on developmental items for children. Are class gaps in parental investments in children narrower in contexts of higher public investment for children and families? We find that more generous public spending for children and families is associated with significantly narrower class gaps in private parental investments. Moreover, we find that equalization is driven by bottom up increases in low-SES households' developmental spending in response to the progressive state investments of income support and health, and by top down decreases in high-SES households' developmental spending in response to the universal state investment of public education.

Contextualizing Educational Disparities in Health: Variations by Race/Ethnicity, Nativity, and County-Level Characteristics

Educational disparities in health are well documented, yet the education-health relationship is inconsistent across racial/ethnic and nativity groups. These inconsistencies may arise from characteristics of the early life environments in which individuals attain their education. We evaluate this possibility by investigating (1) whether educational disparities in cardiometabolic risk vary by race/ethnicity and nativity among Black, Hispanic, and White young adults; (2) the extent to which racial/ethnic-nativity differences in the education-health relationship are contingent on economic, policy, and social characteristics of counties of early life residence; and (3) the county characteristics associated with the best health at higher levels of education for each racial/ethnic-nativity group. Using data from the National Longitudinal Study of Adolescent to Adult Health, we find that Black young adults who achieve high levels of education exhibit worse health across a majority of contexts relative to their White and Hispanic counterparts. Additionally, we observe more favorable health at higher levels of education across almost all contexts for White individuals. For all other racial/ethnic-nativity groups, the relationship between education and health depends on the characteristics of the early life counties of residence. Findings highlight place-based factors that may contribute to the development of racial/ethnic and nativity differences in the education-health relationship among U.S. young adults.

U.S. State Policy Contexts and Physical Health among Midlife Adults

This study examines how state policy contexts may have contributed to unfavorable adult health in recent decades. It merges individual-level data from the 1993-2016 Behavioral Risk Factor Surveillance System (n=2,166,835) with 15 state-level policy domains measured annually on a conservative to liberal continuum. We examined associations between policy domains and health among adults ages 45-64 years and assess how much of the associations is accounted by adults' socioeconomic, behavioral/lifestyle, and family factors. A more liberal version of the civil rights domain was associated with better health. It was disproportionately important for less-educated adults and women, and its association with adult health was partly accounted by educational attainment, employment, and income. Environment, gun safety, and marijuana policy domains were, to a lesser degree, predictors of health in some model specifications. In sum, health improvements require a greater focus on macro-level factors that shape the conditions in which people live.

From convergence to divergence: Lifespan variation in US states, 1959-2017

BACKGROUND

Large disparities in life expectancy exist across US states and the gaps have been widening in recent decades. Less is known about the lifespan variability - a measure that can provide important insights into mortality inequalities both between and within states.

METHOD

Using yearly lifetables from the United States Mortality Database, we explore geographic and temporal patterns in lifespan variation (unconditional and conditional on survival to age 10, 35 and 65) across US states between 1959 and 2017. We also examine the contribution of state differences in life expectancy to overall lifespan variation using standard decomposition techniques.

RESULTS

Despite overall convergence in lifespan variation across states over the last six decades, in more recent years there has been notable divergence. Gender-specific analyses show that lifespan variation was generally greater among males than among females; but this pattern reverses for mortality past age 65. Much of the state disparities in lifespan variation, unconditional and conditional on survival to age 10 and 35, were due to mortality differences under the age 65. Decomposition analysis shows that while within-state variability remains the primary driver of overall lifespan variation, the contribution of cross-state differences in life expectancy is growing.

CONCLUSIONS

Variation in longevity is greater within US States than between them, yet cross-states disparities in mortality are increasing. This likely reflects the long-term consequences of rising social, economic, and political stratification for health inequalities both within and across states.

U.S. regional differences in physical distancing: Evaluating racial and socioeconomic divides during the COVID-19 pandemic

Health varies by U.S. region of residence. Despite regional heterogeneity in the outbreak of COVID-19, regional differences in physical distancing behaviors over time are relatively unknown. This study examines regional variation in physical distancing trends during the COVID-19 pandemic and investigates variation by race and socioeconomic status (SES) within regions. Data from the 2015-2019 five-year American Community Survey were matched with anonymized location pings data from over 20 million mobile devices (SafeGraph, Inc.) at the Census block group level. We visually present trends in the stay-at-home proportion by Census region, race, and SES throughout 2020 and conduct regression analyses to examine these patterns. From March to December, the stay-at-home proportion was highest in the Northeast (0.25 in March to 0.35 in December) and lowest in the South (0.24 to 0.30). Across all regions, the stay-at-home proportion was higher in block groups with a higher percentage of Blacks, as Blacks disproportionately live in urban areas where stay-at-home rates were higher (0.009 [CI: 0.008, 0.009]). In the South, West, and Midwest, higher-SES block groups stayed home at the lowest rates pre-pandemic; however, this trend reversed throughout March before converging in the months following. In the Northeast, lower-SES block groups stayed home at comparable rates to higher-SES block groups during the height of the pandemic but diverged in the months following. Differences in physical distancing behaviors exist across U.S. regions, with a pronounced Southern and rural disadvantage. Results can be used to guide reopening and COVID-19 mitigation plans.

Structural Intersectionality as a New Direction for Health Disparities Research

This article advances the field by integrating insights from intersectionality perspectives with the emerging literatures on structural racism and structural sexism-which point to promising new ways to measure systems of inequality at a macro level-to introduce a structural intersectionality approach to population health. We demonstrate an application of structural intersectionality using administrative data representing macrolevel structural racism, structural sexism, and income inequality in U.S. states linked to individual data from the Behavioral Risk Factor Surveillance System to estimate multilevel models (N = 420,644 individuals nested in 76 state-years) investigating how intersecting dimensions of structural oppression shape health. Analyses show that these structural inequalities: (1) vary considerably across U.S. states, (2) intersect in numerous ways but do not strongly or positively covary, (3) individually and jointly shape health, and (4) are most consistently associated with poor health for black women. We conclude by outlining an agenda for future research on structural intersectionality and health.

State- and Provider-Level Racism and Health Care in the U.S

INTRODUCTION

This study examines the associations between state-level and provider sources of racism and healthcare access and quality for non-Hispanic Black and White individuals.

METHODS

Data from 2 sources were integrated: (1) data from the Association of American Medical Colleges' Consumer Survey of Health Care Access (2014-2019), which included measures of self-reported healthcare access, healthcare quality, and provider racial discrimination and (2) administrative data compiled to index state-level racism. State-level racism composite scores were calculated from federal sources (U.S. Census, Department of Labor, Department of Justice). The data set comprised 21,030 adults (n=2,110 Black, n=18,920 White) who needed care within the past year. Participants were recruited from a national panel, and the survey employed age-insurance quotas. Logistic and linear regressions were conducted in 2020, adjusting for demographic, geographic, and health-related covariates.

RESULTS

Among White individuals, more state-level racism was associated with 5% higher odds of being able to get care and 6% higher odds of sufficient time with provider. Among Black individuals, more state-level racism was associated with 8% lower odds of being able to get care. Provider racial discrimination was also associated with 80% lower odds of provider explaining care, 77% lower odds of provider answering questions, and 68% lower odds of sufficient time with provider.

CONCLUSIONS

State-level racism may engender benefits to healthcare access and quality for White individuals and may decrease access for Black individuals. Disparities may be driven by both White advantage and Black disadvantage. State-level policies may be the actionable levers of healthcare inequities with implications for preventive medicine.

Geographic variation in Alzheimer's disease mortality

OBJECTIVE

Accumulating evidence suggests the possibility that early life exposures may contribute to risk of Alzheimer's Disease (AD). This paper explores geographic disparities in AD mortality based on both state of residence in older age as well as state of birth measures in order to assess the relative importance of these factors.

METHODS

We use a subset of a large survey, the NIH-AARP Diet and Health Study, of over 150,000 individuals aged 65-70 with 15 years of mortality follow-up, allowing us to study over 1050 cases of AD mortality. We use multi-level logistic regression, where individuals are nested within states of residence and/or states of birth, to assess the contributions of place to AD mortality variation.

RESULTS

We show that state of birth explains a modest amount of variation in AD mortality, approximately 4%, which is consistent with life course theories that suggest that early life conditions can produce old age health disparities. However, we also show that nearly all of the variation from state of birth is explained by state of residence in old age.

CONCLUSIONS

These results suggest that later life factors are potentially more consequential targets for intervention in reducing AD mortality and provide some evidence against the importance of macro-level environmental exposures at birth as a core determinant of later AD.

Association and pathways of birth in the stroke belt on old age dementia and stroke Mortality

This paper uses data from the Diet and Health Study (DHS) to examine associations between being born in a "stroke belt" state and old age stroke and mortality outcomes. Adding to prior work that used administrative data, our paper explores educational and health mechanisms that are both stratified by geography and by mortality outcomes. Using logistic regression, we first replicate earlier findings of elevation in risk of dementia mortality (OR 1.13, CI [1.07, 1.20]) and stroke mortality (OR 1.17, CI [1.07, 1.29]) for white individuals born in a stroke belt state. These associations are largely unaffected by controls for educational attainment or by experiences with surviving a stroke and are somewhat attenuated by controls for self-rated health status in old age. The results suggest a need to consider additional life course mechanisms in order to understand the persistent effects of place of birth on old age mortality patterns.

US State Disparities in Life Expectancy, Disability-Free Life Expectancy, and Disabled Life Expectancy Among Adults Aged 25 to 89 Years

Objectives. To estimate total life expectancy (TLE), disability-free life expectancy (DFLE), and disabled life expectancy (DLE) by US state for women and men aged 25 to 89 years and examine the cross-state patterns.Methods. We used data from the 2013-2017 American Community Survey and the 2017 US Mortality Database to calculate state-specific TLE, DFLE, and DLE by gender for US adults and hypothetical worst- and best-case scenarios.Results. For men and women, DFLEs and DLEs varied widely by state. Among women, DFLE ranged from 45.8 years in West Virginia to 52.5 years in Hawaii, a 6.7-year gap. Men had a similar range. The gap in DLEs across states was 2.4 years for women and 1.6 years for men. The correlation among DFLE, DLE, and TLE was particularly strong in southern states. The South is doubly disadvantaged: residents have shorter lives and spend a greater proportion of those lives with disability.Conclusions. The stark variation in DFLE and DLE across states highlights the large health inequalities present today across the United States, which have significant implications for individuals' well-being and US states' financial costs and medical care burden.

Youth academic achievement, social context, and body mass index

This study assesses the relationship between academic achievement and body mass index for age (BMI) trajectories across childhood and adolescence, and investigates how this relationship is moderated by social context. Specifically, we test the hypothesis that academic achievement is not associated with improved BMI among youth from disadvantaged social contexts. We test for differences by race/ethnicity, and examine the role of county-level economic mobility in shaping these patterns. We use data from the longitudinal Fragile Families and Child Wellbeing Study (FFCWS), an ongoing birth cohort study representative of children born in large US cities in 2000, and measure BMI, academic achievement, and social context at Years 5, 9, and 15. Estimating multilevel random effects linear regression models of BMI from childhood to adolescence, we find that youth who were exposed to social advantage displayed a negative association between academic achievement and BMI. In contrast, youth exposed to social disadvantage displayed no association between academic achievement and BMI. This difference was observed regardless of race/ethnicity. County-level economic mobility modified the observed relationship, such that youth living in places with low levels of mobility displayed higher BMI associated with high academic performance. The results suggest that the health costs of academic achievement among disadvantaged youth are concentrated in areas with low institutional support for upward mobility. The findings demonstrate that the unequal benefits of educational attainment begin early in life, while living in places that promote upward mobility can help individuals realize the health benefits of their own educational attainment.

Where and When: Sharpening the lens on geographic disparities in mortality

Life course theories suggest that geographic disparities in mortality may reflect a history of place-based exposures rather than (or in addition to) contemporaneous exposures; yet, few studies examined early life place exposures and later life mortality in the US due to data limitations. The aim of this study is to assess and compare the importance of state of birth and state of residence in predicting mortality for adults over age 50 in the US. Using nationally representative data of nearly 100,000 adults over age 50 from the National Longitudinal Mortality Study, we estimated individual mortality risk using multi-level logistic regression with state of birth and state of residence as second-level random effects. We assessed whether state of residence and state of birth contributed to the variation in adult mortality. We also decomposed state-of-residence random effects to compare “movers” and “stayers.” Our results indicate that state of birth is a stronger predictor of age-, race/ethnicity- and sex-adjusted mortality in the US than state of residence at the time of death. The adult mortality profiles of many states are substantially impacted by the composition of “movers.” Failing to account for residential mobility has clouded our understanding of the patterns and causes of geographic differences in adult mortality. Measures of geographic residence across the life course can improve models of adult mortality in the US and inform interventions to address geographic disparities in longevity.

•

State of birth is a stronger predictor of later age mortality than state of residence.

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Geographic inequalities in mortality are results from complex groupings of “movers” and “stayers”.

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Incorporating geographic residence across the life course improves models of adult mortality.

Racial, Economic, and Health Inequality and COVID-19 Infection in the United States

Objectives

There is preliminary evidence of racial and social economic disparities in the population infected by and dying from COVID-19. The goal of this study is to report the associations of COVID-19 with respect to race, health, and economic inequality in the United States.

Methods

We performed an ecological study of the associations between infection and mortality rate of COVID-19 and demographic, socioeconomic, and mobility variables from 369 counties (total population, 102,178,117 [median, 73,447; IQR, 30,761–256,098]) from the seven most affected states (Michigan, New York, New Jersey, Pennsylvania, California, Louisiana, Massachusetts).

Results

The risk factors for infection and mortality are different. Our analysis shows that counties with more diverse demographics, higher population, education, income levels, and lower disability rates were at a higher risk of COVID-19 infection. However, counties with higher proportion with disability and poverty rates had a higher death rate. African Americans were more vulnerable to COVID-19 than other ethnic groups (1981 African American infected cases versus 658 Whites per million). Data on mobility changes corroborate the impact of social distancing.

Conclusion

Our study provides evidence of racial, economic, and health inequality in the population infected by and dying from COVID-19. These observations might be due to the workforce of essential services, poverty, and access to care. Counties in more urban areas are probably better equipped at providing care. The lower rate of infection, but a higher death rate in counties with higher poverty and disability could be due to lower levels of mobility, but a higher rate of comorbidities and health care access.

Electronic supplementary material

The online version of this article (10.1007/s40615-020-00833-4) contains supplementary material, which is available to authorized users.

Life and Death in the American City: Men's Life Expectancy in 25 Major American Cities From 1990 to 2015

The past several decades have witnessed growing geographic disparities in life expectancy within the United States, yet the mortality experience of U.S. cities has received little attention. We examine changes in men's life expectancy at birth for the 25 largest U.S. cities from 1990 to 2015, using mortality data with city of residence identifiers. We reveal remarkable increases in life expectancy for several U.S. cities. Men's life expectancy increased by 13.7 years in San Francisco and Washington, DC, and by 11.8 years in New York between 1990 and 2015, during which overall U.S. life expectancy increased by just 4.8 years. A significant fraction of gains in the top-performing cities relative to the U.S. average is explained by reductions in HIV/AIDS and homicide during the 1990s and 2000s. Although black men tended to see larger life expectancy gains than white men in most cities, changes in socioeconomic and racial population composition also contributed to these trends.

Racial, Economic and Health Inequality and COVID-19 Infection in the United States

BACKGROUND

There is preliminary evidence of racial and social-economic disparities in the population infected by and dying from COVID-19. The goal of this study is to report the associations of COVID-19 with respect to race, health and economic inequality in the United States.

METHODS

We performed a cross-sectional study of the associations between infection and mortality rate of COVID-19 and demographic, socioeconomic and mobility variables from 369 counties (total population: 102,178,117 [median: 73,447, IQR: 30,761-256,098]) from the seven most affected states (Michigan, New York, New Jersey, Pennsylvania, California, Louisiana, Massachusetts).

FINDINGS

The risk factors for infection and mortality are different. Our analysis shows that counties with more diverse demographics, higher population, education, income levels, and lower disability rates were at a higher risk of COVID-19 infection. However, counties with higher disability and poverty rates had a higher death rate. African Americans were more vulnerable to COVID-19 than other ethnic groups (1,981 African American infected cases versus 658 Whites per million). Data on mobility changes corroborate the impact of social distancing.

INTERPRETATION

The observed inequality might be due to the workforce of essential services, poverty, and access to care. Counties in more urban areas are probably better equipped at providing care. The lower rate of infection, but a higher death rate in counties with higher poverty and disability could be due to lower levels of mobility, but a higher rate of comorbidities and health care access.

Advancing the study of health inequality: Fundamental causes as systems of exposure

We tend to study health inequalities as differentials in disease and death that exist within a population. But the most important cause of health inequality is social stratification, and social stratification only varies between populations. Here, I highlight a way forward in the study of health inequality that resolves this mismatch of analytical levels: we must study the fundamental causes as systems of exposure. Through this critical review of the literature, I argue that the explicit study of variation in social stratification is the next frontier in research on fundamental causes of health inequality.

Association of Social Mobility With the Income-Related Longevity Gap in the United States: A Cross-Sectional, County-Level Study

IMPORTANCE

Despite substantial research, the drivers of the widening gap in life expectancy between rich and poor individuals in the United States-known as the longevity gap-remain unknown. The hypothesis of this study is that social mobility may play an important role in explaining the longevity gap.

OBJECTIVE

To assess whether social mobility is associated with income-related differences in life expectancy in the United States.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional, ecological study used data from 1559 counties in the United States to assess the association of social mobility with average life expectancy at age 40 years by sex and income quartile among adult men and women over the period of January 2000 through December 2014. Bayesian generalized linear multilevel regression models were used to estimate the association, with adjustment for a range of socioeconomic, demographic, and health care system characteristics.

EXPOSURES

County-level social mobility, here operationalized as the association of the income rank of individuals born during the period of January 1980 through December 1982 (based on tax record data, averaged over the period January 2010 through December 2012) with the income ranks of their parents (averaged over the period January 1996 through December 2000) using the location where the parent first claimed the child as a dependent at age 15 years to identify counties.

MAIN OUTCOMES AND MEASURES

The main outcome was life expectancy at age 40 years by sex and income quartile.

RESULTS

The sample consisted of 1559 counties, which represented 93% of the US population in 2000. Each 1-SD increase in social mobility-equivalent to the difference between a low-mobility state, such as Alabama (ranked 49th on this measure), and a higher-mobility state, such as Massachusetts (ranked 23rd on this measure)-was associated with a 0.38-year (95% credible interval [CrI], 0.29-0.47) and a 0.29-year (95% CrI, 0.21-0.38) increase in county-level life expectancy among men and women, respectively, in the lowest income quartile. Estimates for life expectancies among county residents in the highest income quartile were smaller in magnitude and not robust to covariate adjustment (men: 0.10-year [95% CrI, -0.02 to 0.22] increase; women: 0.08-year [95% CrI, -0.05 to 0.20] increase). Increasing social mobility in all counties to the value of the highest social mobility county was associated with decreases in the life expectancy gap between the highest and lowest income quartiles by 1.4 (95% CrI, 0.7-2.1) years for men and 1.1 (95% CrI, 0.5-1.6) years for women nationally, representing a 20% decrease.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, higher county-level social mobility was associated with smaller county-level gaps in life expectancy by income. These findings motivate further investigation of causal relationships between policies that shift social mobility and health outcomes.

Immigrant policies as health policies: State immigrant policy climates and health provider visits among U.S. immigrants

The geographic dispersion of the U.S. immigrant population has occurred alongside a dramatic increase in state-level immigration laws that has unfolded unevenly across states, creating markedly different state immigrant policy climates. Although not all such laws are health-related, they have potential implications for immigrants' health care utilization. Using data from the 2014 Survey of Income and Program Participation, we leverage the geographic variation in the restrictiveness of state immigrant policy climates to examine the association between state-level immigrant policies and health provider visits—a fundamental indicator of health care utilization—among immigrant adults. Results indicate that restrictive immigrant policy climates exacerbate nativity gaps in health provider visits among working-age adults and, to a lesser extent, among older adults. Our findings suggest that even immigrant policies not directly related to health have consequences for immigrants’ health care utilization.

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We model the association between state immigrant policy climates and health provider visits among U.S. adults.

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More restrictive policy climates are associated with lower odds of health provider visits for working-age immigrant adults.

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Nativity disparities in health provider visits among working-age adults are larger in more restrictive policy climates.

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A small nativity gap exists for older adults in restrictive climates, with immigrants less likely to visit a health provider.

The persistent southern disadvantage in US early life mortality, 1965-2014

BACKGROUND

Recent studies of US adult mortality demonstrate a growing disadvantage among southern states. Few studies have examined long-term trends and geographic patterns in US early life (ages 1 to 24) mortality, ages at which key risk factors and causes of death are quite different than among adults.

OBJECTIVE

This article examines trends and variations in early life mortality rates across US states and census divisions. We assess whether those variations have changed over a 50-year time period and which causes of death contribute to contemporary geographic disparities.

METHODS

We calculate all-cause and cause-specific death rates using death certificate data from the Multiple Cause of Death files, combining public-use files from 1965-2004 and restricted data with state geographic identifiers from 2005-2014. State population (denominator) data come from US decennial censuses or intercensal estimates.

RESULTS

Results demonstrate a persistent mortality disadvantage for young people (ages 1 to 24) living in southern states over the last 50 years, particularly those located in the East South Central and West South Central divisions. Motor vehicle accidents and homicide by firearm account for most of the contemporary southern disadvantage in US early life mortality.

CONTRIBUTION

Our results illustrate that US children and youth living in the southern United States have long suffered from higher levels of mortality than children and youth living in other parts of the country. Our findings also suggest the contemporary southern disadvantage in US early life mortality could potentially be reduced with state-level policies designed to prevent deaths involving motor vehicles and firearms.

Rural-urban patterns of disability: The role of migration

Disability rates are higher in rural than in urban areas of the United States, raising the question: do residential preferences and selective migration of people with disabilities play a role in higher rural disability rates? Utilising concepts of environmental fit from the disability literature and ideas from classic, residential preference, and household migration studies, we examine the 2011-2015 American Community Survey Public Use Microdata Sample to understand whether migration contributes to higher rural disability. Results show only slightly different propensities to stay in rural than in urban areas and similar destination choices of people with or without disability, suggesting that migration does little to explain higher rates of rural disability. However, we detect noteworthy differences in age migration schedules for persons with disability, persons without disability in households with disability, and persons without disability in households without disability. Disability emerges as a relevant, although underresearched, dimension in household migration research.

A robust health equity metric

OBJECTIVES

Progress on health equity will require a robust metric. The aim of this article is to propose a new health equity metric that is distinct from existing measures and that allows meaningful comparisons across time and place, is calculable using health data typically available, and measures health equity across all major forms of social exclusion.

STUDY DESIGN

A cross-sectional study.

METHODS

The new health equity measure was calculated using data included from all 50 states and the District of Columbia in the 2017 Behavioral Risk Factor Surveillance Survey, collected by the US Centers for Disease Control and Prevention. The total sample size was 287,602. State-specific sample sizes ranged from 2269 (Alaska) to 14,685 (Kansas) with a median of 4452. A Healthy Days measure was calculated as the mean number of days that the respondents reported being physically healthy and mentally healthy out of the previous 30 days. The proposed measure defines individual health disutility as the distastefulness associated with one's health falling short of optimal achievable health, instrumentalized as the median health of the most socially privileged category, that of upper-income white men. The value of the health equity metric in a population is the mean value of this distastefulness over the entire population and has a theoretical range of -∞ to 1.

RESULTS

There is substantial variation across states (mean: 0.13; standard deviation: 0.15), with the District of Columbia (0.48), Minnesota (0.37), and Connecticut (0.30) showing the greatest health equity, and West Virginia (-0.26), Arkansas (-0.18), and Kentucky (-0.13) exhibiting the least. Across states, the value of the health equity metric is not correlated with the size of black-white health disparities.

CONCLUSIONS

It is feasible to use a single health equity metric for consistent and objective measurement of health equity. Doing so may facilitate more rapid progress toward health equity.

Educational Disparities in Adult Mortality Across U.S. States: How Do They Differ, and Have They Changed Since the Mid-1980s?

Adult mortality varies greatly by educational attainment. Explanations have focused on actions and choices made by individuals, neglecting contextual factors such as economic and policy environments. This study takes an important step toward explaining educational disparities in U.S. adult mortality and their growth since the mid-1980s by examining them across U.S. states. We analyzed data on adults aged 45-89 in the 1985-2011 National Health Interview Survey Linked Mortality File (721,448 adults; 225,592 deaths). We compared educational disparities in mortality in the early twenty-first century (1999-2011) with those of the late twentieth century (1985-1998) for 36 large-sample states, accounting for demographic covariates and birth state. We found that disparities vary considerably by state: in the early twenty-first century, the greater risk of death associated with lacking a high school credential, compared with having completed at least one year of college, ranged from 40 % in Arizona to 104 % in Maryland. The size of the disparities varies across states primarily because mortality associated with low education varies. Between the two periods, higher-educated adult mortality declined to similar levels across most states, but lower-educated adult mortality decreased, increased, or changed little, depending on the state. Consequently, educational disparities in mortality grew over time in many, but not all, states, with growth most common in the South and Midwest. The findings provide new insights into the troubling trends and disparities in U.S. adult mortality.

Educational Disparities in Adult Health: U.S. States as Institutional Actors on the Association

Despite numerous studies on educational disparities in U.S. adult health, explanations for the disparities and their growth over time remain incomplete. We argue that this knowledge gap partly reflects an individualist paradigm in U.S. studies of educational disparities in health. These studies have largely focused on proximal explanations (e.g., individual behaviors) to the neglect of contextual explanations (e.g., economic policies). We draw on contextual theories of health disparities to illustrate how U.S. states, as institutional actors, shape the importance of education for health. Using two nationally-representative datasets and seven health measures for adults aged 45-89, we show that the size of the educational gradient in health varies markedly across states. The size varies because of variation in the health of lower-educated adults. We use state excise taxes on cigarettes to illustrate one way that states shape educational disparities in health. Our findings underscore the necessity of contextualizing these disparities.

State-level minimum wage and heart disease death rates in the United States, 1980-2015: A novel application of marginal structural modeling

Despite substantial declines since the 1960's, heart disease remains the leading cause of death in the United States (US) and geographic disparities in heart disease mortality have grown. State-level socioeconomic factors might be important contributors to geographic differences in heart disease mortality. This study examined the association between state-level minimum wage increases above the federal minimum wage and heart disease death rates from 1980 to 2015 among 'working age' individuals aged 35-64 years in the US. Annual, inflation-adjusted state and federal minimum wage data were extracted from legal databases and annual state-level heart disease death rates were obtained from CDC Wonder. Although most minimum wage and health studies to date use conventional regression models, we employed marginal structural models to account for possible time-varying confounding. Quasi-experimental, marginal structural models accounting for state, year, and state × year fixed effects estimated the association between increases in the state-level minimum wage above the federal minimum wage and heart disease death rates. In models of 'working age' adults (35-64 years old), a $1 increase in the state-level minimum wage above the federal minimum wage was on average associated with ~6 fewer heart disease deaths per 100,000 (95% CI: -10.4, -1.99), or a state-level heart disease death rate that was 3.5% lower per year. In contrast, for older adults (65+ years old) a $1 increase was on average associated with a 1.1% lower state-level heart disease death rate per year (b = -28.9 per 100,000, 95% CI: -71.1, 13.3). State-level economic policies are important targets for population health research.

Disability concentration and access to rehabilitation services: a pilot spatial assessment applying geographic information system analysis

Purpose: Due to geographical disparities, many people with profound or severe disabilities experience considerable delays in rehabilitation treatment, resulting in threats to quality of life. This pilot study aims to identify areas in Greater Brisbane, Australia, with a higher concentration of people with profound or severe disabilities and to evaluate access to rehabilitation services in these areas. Methods: Data came from the 2016 Australian Census of Population and Housing and the National Health Services Directory. Four frequently used rehabilitation services by individuals with profound or severe disabilities (i.e., occupational therapy, physiotherapy, speech pathology and psychology) were the focus of the analysis. The data were analyzed using geospatial analysis methods (e.g., spatial scan statistic and network analysis). Results: A higher concentration of rehabilitation services was found in the regions with lower disability prevalence and lower potential demand for rehabilitation services. In contrast, the regions with higher disability prevalence and higher potential demand for rehabilitation services experienced poorer access to rehabilitation services. Conclusion: The findings are expected to inform policy decisions about the prioritization of rehabilitation resources and derive evidence for planning more responsive service delivery. Implications for rehabilitation The current study has demonstrated the utilization of geographic information system methods to facilitate rehabilitation service planning. Identification of disability concentration may inform locally responsive rehabilitation service delivery. Spatial assessment of mismatch between supply and potential demand may assist policy makers and service providers in the prioritization of rehabilitation resources. The current study contributes to the World Health Organization's call for action to ensure adequate access to rehabilitation services by people with profound or severe disabilities.

The Relationship Between Education and Health: Reducing Disparities Through a Contextual Approach

Adults with higher educational attainment live healthier and longer lives compared with their less educated peers. The disparities are large and widening. We posit that understanding the educational and macrolevel contexts in which this association occurs is key to reducing health disparities and improving population health. In this article, we briefly review and critically assess the current state of research on the relationship between education and health in the United States. We then outline three directions for further research: We extend the conceptualization of education beyond attainment and demonstrate the centrality of the schooling process to health; we highlight the dual role of education as a driver of opportunity but also as a reproducer of inequality; and we explain the central role of specific historical sociopolitical contexts in which the education-health association is embedded. Findings from this research agenda can inform policies and effective interventions to reduce health disparities and improve health for all Americans.

Does college major matter for women's and men's health in midlife? Examining the horizontal dimensions of educational attainment

Studies on how education shapes adult health have largely conceptualized education as the quantity of schooling attained, coined the "vertical dimension" of education. While this dimension is important, heterogeneity within levels of education (the "horizontal dimension") may also shape health. Using data from the 2010-2014 American Community Survey on adults aged 45-64 with a Bachelor's degree (N = 667,362), we investigate the association between a key indicator of adult health (physical functioning) and an understudied horizontal dimension of education (college major). We find that physical functioning in midlife varies significantly by college major. For instance, the odds of poor functioning for men who majored in Psychology/Social Work were 1.9 (95% CI: 1.7, 2.1) times greater than for men who majored in Business. However, all college graduates, regardless of major, report better functioning than non-graduates. We also find that inequalities in midlife functioning across majors largely reflect differences in human capital skills and financial returns in the labor market. Taken together our findings suggest that college major is an important component of health stratification and should be integrated into the literature on health inequalities.

Disparities in Disability by Educational Attainment Across US States

OBJECTIVES

To examine how disparities in adult disability by educational attainment vary across US states.

METHODS

We used the nationally representative data of more than 6 million adults aged 45 to 89 years in the 2010-2014 American Community Survey. We defined disability as difficulty with activities of daily living. We categorized education as low (less than high school), mid (high school or some college), or high (bachelor's or higher). We estimated age-standardized disability prevalence by educational attainment and state. We assessed whether the variation in disability across states occurs primarily among low-educated adults and whether it reflects the socioeconomic resources of low-educated adults and their surrounding contexts.

RESULTS

Disparities in disability by education vary markedly across states-from a 20 percentage point disparity in Massachusetts to a 12-point disparity in Wyoming. Disparities vary across states mainly because the prevalence of disability among low-educated adults varies across states. Personal and contextual socioeconomic resources of low-educated adults account for 29% of the variation.

CONCLUSIONS

Efforts to reduce disparities in disability by education should consider state and local strategies that reduce poverty among low-educated adults and their surrounding contexts.

Uses of Panel Study of Income Dynamics Data in Research on Aging

The Panel Study of Income Dynamics (PSID) has, over its 50-year history, proven to be a useful source of data for research on virtually all of the major topics in the area of social gerontology. This usefulness reflects three of the leading features of the PSID: its longitudinality, its content, and its tracking rules, which permit users to develop family-based and generationally-linked measures. This paper summarizes key areas of survey content, including both routinely-collected data and several one-time or occasional supplements to the routine items. The paper also illustrates how these data elements have been used, providing examples of published papers in several areas of social gerontology. Finally, the paper points out some methodological issues associated with the PSID design; these methodological issues arise, in varying degrees, in longitudinal studies other than the PSID, and should be acknowledged by both the producers and consumers of longitudinal-data research.