Sleep health · 2025
Association between household sleep environment and sleep health characteristics in middle-aged adults: The CARDIA sleep study.
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Chapagai Swaty, Vu Thanh-Huyen, Alexandria Shaina J, Reid Kathryn J, Abbott Sabra, Harrington Katharine, Thomas S Justin, Lewis Cora E, Schreiner Pamela J, Carnethon Mercedes R, Knutson Kristen L
Аннотация
OBJECTIVES: Household environmental factors and sleep hygiene may contribute to poor sleep health. We identified associations between household sleep environment (HHSE) and sleep health characteristics in White and Black adults.
METHODS: This study included cross-sectional data from the CARDIA sleep ancillary study at Year 35 (n=711). HHSE was assessed in two domains (sleep disruptors and sleep hygiene) using a questionnaire, and higher scores indicated more sleep disruptors or poorer sleep hygiene. Sleep outcomes included (1) self-reported sleep quality and daytime sleepiness and (2) actigraphy-measured sleep duration, sleep percentage, sleep timing (midpoint sleep time), and sleep regularity. We used robust regression to estimate differences in sleep outcomes corresponding to each 1-point increment in HHSE. Racial differences in associations of interest were examined by testing for interaction.
RESULTS: Participants' mean age was 61.5 (SD=3.6) years, 63% were women, and 36.7% were Black. After multivariable adjustment (β [95% CI]), more sleep disruptors (0.145 [0.04, 0.24]) and poor sleep hygiene (0.170 [0.10, 0.23]) were associated with self-reported poor sleep quality. Poor sleep hygiene was associated with actigraphy-measured shorter sleep duration (-1.397 [-2.73, -0.01]) and sleep irregularity (0.017 [0.01, 0.02]). In stratified analysis, more sleep disruptors were associated with poor sleep quality (0.320 [0.10, 0.53]) and greater daytime sleepiness (0.330 [0.11, 0.54]) only in Black participants.
CONCLUSIONS: Poor HHSE was related to self-reported poor sleep quality and to objective shorter sleep duration and sleep irregularity. Targeted interventions to mitigate sleep disruptors and promote good sleep hygiene may help to improve sleep health.
METHODS: This study included cross-sectional data from the CARDIA sleep ancillary study at Year 35 (n=711). HHSE was assessed in two domains (sleep disruptors and sleep hygiene) using a questionnaire, and higher scores indicated more sleep disruptors or poorer sleep hygiene. Sleep outcomes included (1) self-reported sleep quality and daytime sleepiness and (2) actigraphy-measured sleep duration, sleep percentage, sleep timing (midpoint sleep time), and sleep regularity. We used robust regression to estimate differences in sleep outcomes corresponding to each 1-point increment in HHSE. Racial differences in associations of interest were examined by testing for interaction.
RESULTS: Participants' mean age was 61.5 (SD=3.6) years, 63% were women, and 36.7% were Black. After multivariable adjustment (β [95% CI]), more sleep disruptors (0.145 [0.04, 0.24]) and poor sleep hygiene (0.170 [0.10, 0.23]) were associated with self-reported poor sleep quality. Poor sleep hygiene was associated with actigraphy-measured shorter sleep duration (-1.397 [-2.73, -0.01]) and sleep irregularity (0.017 [0.01, 0.02]). In stratified analysis, more sleep disruptors were associated with poor sleep quality (0.320 [0.10, 0.53]) and greater daytime sleepiness (0.330 [0.11, 0.54]) only in Black participants.
CONCLUSIONS: Poor HHSE was related to self-reported poor sleep quality and to objective shorter sleep duration and sleep irregularity. Targeted interventions to mitigate sleep disruptors and promote good sleep hygiene may help to improve sleep health.