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Racial residential segregation is associated with multiple adverse health outcomes in Black individuals. Yet, the influence of structural racism and racial residential segregation on brain aging is less understood. In this study, we investigated the association between cumulative exposure to racial residential segregation over 25 years (1985-2010) in young adulthood, as measured by the Getis-Ord Gi* statistic, and year 25 measures of brain volume (cerebral, gray matter, white matter, and hippocampal volumes) in midlife. We studied 290 Black participants with available brain imaging data who were enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) Study, a prospective cohort study. CARDIA investigators originally recruited 2,637 Black participants aged 18-30 years from 4 field centers across the United States. We conducted analyses using marginal structural models, incorporating inverse probability of treatment weighting and inverse probability of censoring weighting. We found that compared with low/medium segregation, greater cumulative exposure to a high level of racial residential segregation throughout young adulthood was associated with smaller brain volumes in general (e.g., for cerebral volume, β = -0.08, 95% confidence interval: -0.15, -0.02) and with a more pronounced reduction in hippocampal volume, though results were not statistically significant. Our findings suggest that exposure to segregated neighborhoods may be associated with worse brain aging.

Racial residential segregation is associated with multiple adverse health outcomes in Black individuals. Yet, the influence of structural racism and racial residential segregation on brain aging is less understood. In this study, we investigated the association between cumulative exposure to racial residential segregation over 25 years (1985–2010) in young adulthood, as measured by the Getis-Ord Gi* statistic, and year 25 measures of brain volume (cerebral, gray matter, white matter, and hippocampal volumes) in midlife. We studied 290 Black participants with available brain imaging data who were enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) Study, a prospective cohort study. CARDIA investigators originally recruited 2,637 Black participants aged 18–30 years from 4 field centers across the United States. We conducted analyses using marginal structural models, incorporating inverse probability of treatment weighting and inverse probability of censoring weighting. We found that compared with low/medium segregation, greater cumulative exposure to a high level of racial residential segregation throughout young adulthood was associated with smaller brain volumes in general (e.g. for cerebral volume, β = –0.08, 95% confidence interval: −0.15, −0.02) and with a more pronounced reduction in hippocampal volume, though results were not statistically significant. Our findings suggest that exposure to segregated neighborhoods may be associated with worse brain aging. [ABSTRACT FROM AUTHOR]

We sought to determine whether sustained poverty is associated with change in body mass index (BMI, calculated as weight (kg)/height (m)2) among 4,762 black and white adults from the Coronary Artery Risk Development in Young Adults study. Household income in the prior year and current BMI were measured at 7 visits between 1990 and 2015. Sustained poverty was the proportion of visits during which household income was below 200% of the federal poverty level (range, 0%-100%). Sustained poverty and BMI were time-updated. Mean age in 1990 was 30 years. In adjusted linear mixed effects models, every 10% increase in sustained poverty was significantly associated with faster BMI growth among white men (0.004/year, 95% CI: 0.001, 0.008) and white women (0.003/year, 95% CI: 0.000, 0.006), and slower BMI growth among black men (-0.008/year, 95%CI:-0.010,-0.005) and black women (-0.003/year, 95%CI:-0.006, 0.000). In other words, being always versus never in poverty from 1990 to 2015 was predicted to result in greater BMI gain by 1.00 unit and 0.75 units among white men and women and less BMI gain by 2.0 units and 0.75 units among black men and women, respectively. Sustained poverty was a predictor of changes in BMI with differential associations according to race. [ABSTRACT FROM AUTHOR]