Racial-Ethnic Residential Segregation and Sleep Health among US Adults: Associations by Race and Ethnicity, Sex/Gender, and Neighborhood-Level Poverty.

INTRODUCTION

Although racial-ethnic residential segregation (RRS) is hypothesized to contribute to sleep disparities by concentrating poverty and impairing sleep among minoritized racial-ethnic groups, feelings of belonging within relatively homogenous neighborhoods may be protective against poor sleep. Yet, empirical studies are sparse.

METHODS

To investigate RRS-sleep health associations and determine potential modifiers among US adults, we linked National Health Interview Survey data (2011-2017) to 2012 and 2017 American Community Survey census tract-level data. We used the local Getis-Ord G* statistic to categorize RRS (high, medium, low [reference]). Using survey-weighted, Poisson regression with robust variance, we estimated prevalence ratios (PRs) and 95% confidence intervals (CIs) for self-reported sleep health measures. We also performed Wald tests for interactions by race-ethnicity, sex/gender, race-ethnicity-by-sex/gender intersectional category, and neighborhood-level poverty.

RESULTS

Among 126,539 participants (mean age ± SE = 46 ± 0.1 years), high RRS was most common among non-Hispanic (NH)-Black (38%), followed by NH-Asian and non-Mexican Latine (34%), Mexican Latine (30%), and NH-White adults (17%). Across races-ethnicities and sexes/genders (both p-interaction > 0.05), high vs. low RRS was associated with a 6% lower prevalence of short sleep duration (< 7-h: PR = 0.94 [95% CI:0.91-0.97]), an 11% lower prevalence of long sleep duration (> 9-h: PR = 0.89 [0.80-0.99]), and a 2% higher prevalence of restorative sleep (PR = 1.02 [1.01-1.04]). Associations with a lower prevalence of trouble falling asleep were stronger among men vs. women. Race-ethnicity-by-sex/gender group membership and neighborhood-level poverty modified associations with sleep duration and quality without consistent patterns.

CONCLUSION

RRS was associated with more favorable sleep health among US adults with variation by key modifiers (e.g., sex). Strategies that leverage potentially protective social factors while promoting equitable resources across diverse neighborhoods may help address sleep health disparities.