Cross-sectional association between neighborhood socioeconomic status and sleep duration among Black and white men and women: The Southern Community Cohort Study

Samuel H. Nyarko, Liying Luo, David G. Schlundt, Qian Xiao

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Objective: To examine the association of neighborhood socioeconomic status (SES) with sleep duration among a large cohort of Black and white men and women in the United States. Methods: We used data from the Southern Community Cohort Study (SCCS, N = 75,248). Neighborhood SES was based on census data and sleep duration was measured by self-report. Multinomial logistic regression analysis was performed to assess the association between neighborhood SES and short (<7 hours) and long (≥9 hours) sleep in the overall sample and according to race–sex subgroups. Results: In the total sample, when compared with the highest quintile of neighborhood SES, the lowest quintile was associated with higher odds of both short (adjusted ORQ5 vs. Q1 [95% CI], 1.10 [1.03, 1.17]) and long sleep (1.37 [1.24, 1.52]). In race–sex specific analysis, the association between lower neighborhood SES and short sleep was only observed among white women (1.21 [1.05, 1.40]), but not in other subgroups. On the other hand, the association between lower neighborhood SES and long sleep duration was primarily observed among Black women (1.31 [1.06, 1.60]). Conclusions: The association between neighborhood SES and sleep duration varied among race-and-sex subgroups. These findings provide new evidence on the importance of considering individual sociodemographic characteristics in understanding the potential effects of neighborhood socioeconomic context on sleep health.

Original languageEnglish (US)
Pages (from-to)277-282
Number of pages6
JournalSleep health
Volume9
Issue number3
DOIs
StatePublished - Jun 2023

All Science Journal Classification (ASJC) codes

  • Health(social science)
  • Neuropsychology and Physiological Psychology
  • Social Sciences (miscellaneous)
  • Behavioral Neuroscience

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