Using the 1957–1993 data from the Wisconsin Longitudinal Study, we explore reciprocal associations between socioeconomic status (SES) and body mass in this 1939 birth cohort of non-Hispanic white men and women. We integrate the fundamental cause theory, the gender relations theory, and the life-course perspective to analyze gender differences in (a) the ways that early socioeconomic disadvantage launches bidirectional associations of body mass and SES, and (b) the extent to which these mutually-reinforcing effects generate socioeconomic disparities in midlife body mass. Using structural equation modeling, we find that socioeconomic disadvantage at age 18 is related to higher body mass index and a greater risk of obesity at age 54, and that this relationship is significantly stronger for women than men. Moreover, women are more adversely affected by two mechanisms underlying the focal association: the obesogenic effect of socioeconomic disadvantage and the SES-impeding effect of obesity. These patterns were also replicated in propensity score matching models. Gender and SES act synergistically over the life course to shape reciprocal chains of two disadvantaged statuses: heavier body mass and lower SES.

Though evidence suggests that the prevalence of cognitive impairment has declined, there still exists a disproportionate burden of ill cognitive health for people of color. In this paper, we test two alternative mechanisms to explain the interactive effect of education and race/ethnicity on cognitive impairment risk: the minority poverty and diminishing returns hypotheses. Drawing on data from the 2012 wave of the Health and Retirement Study (HRS) (n = 8093), we estimate logistic regression models to determine differential effects of education on cognitive impairment. We find that non-Hispanic black and Mexican American older adults have higher odds of being cognitively impaired compared to whites, though the ethnic difference (whites vs. Mexican Americans) is mediated by education. Further, we find that while high levels of education are protective against cognitive impairment at older ages, it is more protective for non-Hispanic blacks than for whites and more protective for whites than Mexican Americans. Lastly, we find that racial/ethnic disparities are widest at lower levels of education, consistent with the minority poverty hypothesis. We conclude that the results herein highlight the importance of attending to how factors that are protective for cognitive functioning (e.g., education) may operate differently across racial and ethnic groups.

Unfavorable neighborhood conditions are linked to health disparities. Yet, a dearth of literature examines how neighborhood characteristics contribute to cognitive health in diverse samples of older adults. The present study uses an intersectional approach to examine how race/ethnicity, gender, and education moderate the association between neighborhood perceptions and cognitive functioning in later life. We used data from adults ≥65 years old (n = 8023) in the 2010–2016 waves of the nationally representative Health and Retirement Study (HRS). We conducted race/ethnicity-stratified linear regression models where cognitive functioning, measured using the 35-point Telephone Interview Cognitive Screen (TICS), was regressed on three neighborhood characteristics—cleanliness, safety, and social cohesion. We examine whether there is heterogeneity within race/ethnicity by testing if and how the relationship between neighborhood characteristics and cognitive functioning differs by gender and education. Among White adults, worse neighborhood characteristics were associated with lower cognitive functioning among those with less education. However, for Black adults, poor perceived quality of one’s neighborhood was associated with worse cognitive functioning among those with more years of education compared to those with fewer years of education. Among Mexicans, perceived neighborhood uncleanliness was associated with lower cognitive functioning among those with less education, but higher cognitive functioning for those with higher levels of education. Thus, this study contributes to the literature on racial/ethnic disparities in cognitive aging disparities by examining neighborhood contextual factors as determinants of cognitive functioning. In particular, we find that higher education in the context of less favorable neighborhood environments does not confer the same benefits to cognitive functioning among all older adults.

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Black older adults are at greater risk for poor cognitive health than Whites, and adverse neighborhood conditions may contribute to this disparity. Moreover, limited research examines how resilience is implicated in the relationship between neighborhoods and cognition among Blacks. Using 2006-2016 waves of the Health and Retirement Study, we examine how perceived neighborhood characteristics (physical disorder and social cohesion) and psychosocial resilience (social support, mastery, and sense of purpose) contribute to cognitive functioning among 1,655 Black adults ages 65+. Results from multilevel linear regression models show that greater physical disorder was associated with worse cognitive functioning, and this was attenuated after adjustment for socioeconomic status. We found a positive association between purpose and mastery with cognitive functioning, even after accounting for socioeconomic, psychosocial, and health-related characteristics. Thus, high levels of purpose and mastery may be protective for cognitive functioning among Black older adults in spite of experiencing negative neighborhood contexts.