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Associations of Neighborhood Characteristics with Sleep Timing and Quality: The Multi-Ethnic Study of Atherosclerosis

Published Web Location

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3773204/
No data is associated with this publication.
Abstract

Study objectives

To investigate the associations of specific neighborhood features (disorder, safety, social cohesion, physical environment, and socioeconomic status) with sleep duration and quality.

Design

Cross-sectional. One wave of a population-based study (Multi-Ethnic Study of Atherosclerosis).

Setting

Community-dwelling participants in New York, NY and Los Angeles, CA.

Participants

There were 1,406 participants (636 males, 770 females).

Interventions

NA.

Measurements and results

Sleep was assessed using reported hours of sleep, the Epworth Sleepiness Scale, and insomnia symptoms. Neighborhood characteristics were assessed via questionnaires administered to neighbors of study participants and were aggregated to the neighborhood (census tract) level using empirical Bayes estimation. An adverse social environment (characterized by high disorder, and low safety and social cohesion) was associated with shorter sleep duration after adjustment for the physical environment, neighborhood and individual-level socioeconomic status (SES), and other short sleep risk factors (mean difference per standard deviation increase in summary social environment scale 0.24 h 95% confidence interval 0.08, 0.43). Adverse neighborhood social and physical environments, and neighborhood SES were associated with greater sleepiness, but associations with physical environments were no longer statistically significant after adjustment for sociodemographic characteristics. Neighborhood SES was a weaker and less consistent predictor of specific measures of neighborhood social and physical environments. Neighborhood characteristics were not associated with insomnia.

Conclusions

Shortened sleep related to adverse social environments represents one potential pathway through which neighborhoods may influence health.

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