0065 Geographic Association Between Neighborhood Sleep Health and Child Opportunity Index: Data at the Census Tract Level

Abstract

Abstract Introduction Sleep health impacts the community in many ways. Regional sleep health may reflect other important indicators of health and well-being. Few studies have examined sleep health at the regional level, though. Methods Data on neighborhood sleep health values were obtained from the “500 Cities” data collected by the CDC that includes census tract and proportion of the population in that region that report values associated with health, as assessed with the Behavioral Risk Factor Surveillance System. Data include the population of each census tract as well as census-estimated proportion of the population in each census tract that report obtaining at least 7 hours of sleep. Additional variables included as covariates in analyses included the proportion with healthcare access, that were obese, had high blood pressure, had diabetes, and were smokers. The Child Opportunity Index (COI) is a publicly-available index (DiversityDataKids.org) reported at the census tract level. It provides indices for “Education,” “Health & Environment,” and “Social & Economic” domains, as well as a global score. The present analysis merged the 500 Cities data with the COI data, using census tract as the matching variable. Linear regression analyses examined COI global and subscale scores as outcome variable and proportion of the population obtaining 7 hours of sleep as the independent variable, unadjusted and adjusted for covariates. When data were merged, 27,130 census tracts were included. Results Sleep sufficiency was associated with global COI, such that for each additional percent of the population that obtains >=7 hours of sleep, COI increases by 3.6 points (95%CI[3.57,3.64]; p<0.0001); this was attenuated in adjusted analyses (B=1.58; 95%CI[1.53,1.63]; p<0.0001). Each component of COI was related to sleep sufficiency, including education (B=3.06; 95%CI[1.19,1.33]; <0.0001), health & environment (B=3.61; 95%CI[3.57,3.64]; p<0.0001), and social & economic (B=2.23; 95%CI[2.19,2.28]; p<0.0001). All associations were attenuated but significant in adjusted analyses. Conclusion Regional prevalence of insufficient sleep was linearly associated with Child Opportunity Index, which itself is an important predictor of a wide range of health and economic outcomes. Community sleep health interventions may have wide-ranging benefits. Support (If Any)