Discrimination and sleep among Asians and Pacific Islanders adults.

STUDY OBJECTIVES: To examine the association between discrimination and sleep duration and difficulty among Asians and Pacific Islanders (APIs) in the United States, and to test nativity and ethnic identity (EI) as effect modifiers. METHODS: This cross-sectional study of 1,765 adults from the National Epidemiology Study of Alcohol and Related Conditions III, assessed discrimination using the Experiences of Discrimination scale. Discrimimation was classified as low, moderate, and high. Regression models were used to examine self-reported sleep duration and difficulty. RESULTS: In bivariate analyses, individuals with high discrimination had the shortest sleep and reported sleep difficulty most often. Using linear models adjusted for sociodemographic and health characteristics, moderate and high discrimination were associated with 9 min (standard error [SE]: 4.8, p < .10) and 14.4 min (SE: 6.0, p < .05) less sleep, respectively, relative to low discrimination. Individuals with moderate and high discrimination had higher prevalence of sleep difficulty compared to those with low discrimination (prevalence ratio [PR]: 1.51, 95% confidence interval [CI]: 1.14-1.99 and PR: 1.73, 95% CI: 1.33-2.24, respectively). Interaction effect was observed in sleep difficulty by nativity and EI, but not duration. The association between discrimination and sleep difficulty was stronger among U.S.-born relative to foreign-born participants. Among participants with low EI, moderate and high discrimination were associated with sleep difficulty, whereas among those with high EI, only high discrimination displayed this association. CONCLUSIONS: Discrimination is associated with sleep duration and difficulty, and varies by nativity and EI. Research is needed to improve sleep among APIs that experience discrimination.

Secondhand Smoke Exposure and Smoke-free Policy in Philadelphia Public Housing.

OBJECTIVES: Multi-unit housing environments remain significant sources of secondhand smoke (SHS) exposure, especially for vulnerable populations in subsidized housing. In Philadelphia, the largest US housing authority to implement smoke-free policies, we measured baseline resident smoking-related behaviors and attitudes, and longitudinal exposures to airborne nicotine, during policy development and implementation. METHODS: In 4 communities, we collected data in 2013, 2014, and 2016, before and after introduction of comprehensive smoke-free policies, interviewing persons in 172 households, and monitoring air-borne nicotine in non-smoking homes and public areas. Average nicotine level differences across years were estimated with multi-level models. RESULTS: Fifty-six percent of respondents smoked. Only 37% of households were smoke-free, with another 41% restricting smoking by area or time of day. The number of locations with detectable nicotine did not differ before and after policy implementation, with approximately 20% of non-smoking homes and 70%-80% of public areas having detectable nicotine. However, public area nicotine levels were lower in 2016, after policy implementation, than in 2013 and 2014 (-0.19 µg/m3, p = .03). CONCLUSIONS: Findings suggest that initial policy implementation was associated with reduced SHS exposure in Philadelphia. As HUD strengthens smoke-free policies, SHS monitoring can be useful to educate stakeholders and build support for policy enforcement.