We evaluated cross-sectional associations between environmental exposures (greenspace, ALAN, noise, and air pollution) and self-reported sleep duration, sleep latency (time to fall asleep), and trouble staying asleep using logistic regression, calculating odds ratios (ORs) and 95% confidence intervals (95% CI). We mutually adjusted for all environmental exposures and a priori covariates, race/ethnicity (Asian, Black, Hispanic, Mixed, White, or Unknown/Missing), sex (male vs. female), age, SES (maternal education less than college vs. college graduate), and CHS community.7 (link),10 (link),13 (link),18 (link),38 (link),39 (link) Associations were reported per interquartile range (IQR) change in exposure. Because these environmental exposures were previously associated with stress in our study population,26 (link) we assessed the mediating role of self-reported stress on our exposure-sleep associations and report it as a percent.40 Due to possible interactions between environmental exposures and SES,41 (link),42 (link) we assessed interaction between each exposure and SES among those that reported maternal education, further stratifying for those that were statistically significant (P-value < 0.05). All analyses were conducted in the R Language, version 4.1.0 (R Foundation for Statistical Computing, Vienna, Austria).
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