Dayna A Johnson, Laura Ward, Krysta Medearis, Kari Moore, Susan Redline
{"title":"Exploring Features of the Physical Environment as Contributors to Racial and Ethnic Disparities in Sleep Duration and Efficiency among Older Adults.","authors":"Dayna A Johnson, Laura Ward, Krysta Medearis, Kari Moore, Susan Redline","doi":"10.1093/sleep/zsaf048","DOIUrl":null,"url":null,"abstract":"<p><strong>Study objectives: </strong>Racial and ethnic sleep disparities have been documented; however, the mechanisms are unclear. In a cross-sectional analysis, we examined the contribution of features of the physical environment to sleep disparities among Black, Chinese, Hispanic, and White adults (N=1945, average age:68.5+9.1).</p><p><strong>Methods: </strong>Physical environment measures were self-reported (aesthetic quality, walking environment) and objectively-measured via Geographic Information Systems (walking destination density, proportion of land dedicated to retail space, overall built environment score). Sleep duration (short:<6 hours) and sleep efficiency were measured via 7-day actigraphy. Multi-level linear and Poisson regression models with robust variance were fit to examine associations with adjustment for covariates. Direct and indirect mediation was tested via path models.</p><p><strong>Results: </strong>Insufficient sleep was highest for minoritized individuals (short sleep: 32.5-44.1%, <85% sleep efficiency: 9.3-10.5%). Living in neighborhoods with higher aesthetic quality scores was associated with sleeping 5.8 minutes (0.67, 10.85) longer on average. Higher walking destination density, proportion retail, and built environment scores were associated with shorter sleep duration and higher prevalence of short sleep (adjusted prevalence ratio: 1.0001 [1.0005,1.0016], 1.02 [1.01,1.04], and 1.06 [1.02,1.09], respectively). Proportion retail partially explained the Black-White (2.8%) and Chinese-White (11.3%) difference in sleep duration. The Hispanic-White difference in sleep duration was partially (5.8-26.5%) explained by differences in aesthetic quality, walking destination density, proportion retail, and built environment score. There were no associations between features of the physical environment and sleep efficiency.</p><p><strong>Conclusions: </strong>Features of the physical environment partially contributed to racial disparities in sleep duration and is a likely target for intervention.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6000,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sleep","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/sleep/zsaf048","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Study objectives: Racial and ethnic sleep disparities have been documented; however, the mechanisms are unclear. In a cross-sectional analysis, we examined the contribution of features of the physical environment to sleep disparities among Black, Chinese, Hispanic, and White adults (N=1945, average age:68.5+9.1).
Methods: Physical environment measures were self-reported (aesthetic quality, walking environment) and objectively-measured via Geographic Information Systems (walking destination density, proportion of land dedicated to retail space, overall built environment score). Sleep duration (short:<6 hours) and sleep efficiency were measured via 7-day actigraphy. Multi-level linear and Poisson regression models with robust variance were fit to examine associations with adjustment for covariates. Direct and indirect mediation was tested via path models.
Results: Insufficient sleep was highest for minoritized individuals (short sleep: 32.5-44.1%, <85% sleep efficiency: 9.3-10.5%). Living in neighborhoods with higher aesthetic quality scores was associated with sleeping 5.8 minutes (0.67, 10.85) longer on average. Higher walking destination density, proportion retail, and built environment scores were associated with shorter sleep duration and higher prevalence of short sleep (adjusted prevalence ratio: 1.0001 [1.0005,1.0016], 1.02 [1.01,1.04], and 1.06 [1.02,1.09], respectively). Proportion retail partially explained the Black-White (2.8%) and Chinese-White (11.3%) difference in sleep duration. The Hispanic-White difference in sleep duration was partially (5.8-26.5%) explained by differences in aesthetic quality, walking destination density, proportion retail, and built environment score. There were no associations between features of the physical environment and sleep efficiency.
Conclusions: Features of the physical environment partially contributed to racial disparities in sleep duration and is a likely target for intervention.
期刊介绍:
SLEEP® publishes findings from studies conducted at any level of analysis, including:
Genes
Molecules
Cells
Physiology
Neural systems and circuits
Behavior and cognition
Self-report
SLEEP® publishes articles that use a wide variety of scientific approaches and address a broad range of topics. These may include, but are not limited to:
Basic and neuroscience studies of sleep and circadian mechanisms
In vitro and animal models of sleep, circadian rhythms, and human disorders
Pre-clinical human investigations, including the measurement and manipulation of sleep and circadian rhythms
Studies in clinical or population samples. These may address factors influencing sleep and circadian rhythms (e.g., development and aging, and social and environmental influences) and relationships between sleep, circadian rhythms, health, and disease
Clinical trials, epidemiology studies, implementation, and dissemination research.