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May 3, 20260 citations

Day-by-day changes in the indoor environment and sleep health among African American adults.

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YCY H ChenLWLaura WardDBDonald Bliwise

Key Points

  • The study aims to explore how daily variations in indoor physical environments affect sleep health among African American adults.
  • Included 36 African American participants with at least five consecutive days of sleep data (417 person-days).
  • Measured indoor environmental factors using a monitor for temperature, CO2, noise, humidity, and pressure.
  • Used linear mixed models and quantile g-computation to analyze associations between environmental factors and sleep health metrics.
  • Higher noise levels correlated with lower sleep efficiency (β = -1.81%, 95% CI: -2.00, -0.45).
  • Higher pressure levels were linked to increased sleep duration (β = 15.22 minutes, 95% CI: 1.11, 28.02) and more irregular sleep (β = 16.07 minutes, 95% CI: 1.40, 30.73).
  • Overall, elevated levels of environmental factors showed a trend toward reduced sleep efficiency (β = -1.38%, 95% CI: -3.01, 0.26).

Abstract

OBJECTIVES: The study aimed to examine the association between day-by-day changes in the indoor physical environment and dimensions of sleep health among African American adults. METHODS: A total of 36 African American participants with at least five consecutive days of objective sleep measured by actigraphy (417 person-days) were included in the analysis. Indoor environmental factors, including temperature, carbon dioxide, noise, humidity, and barometric pressure, were objectively measured by an indoor environmental monitor. Linear mixed models were utilized to assess the within-person association between day-by-day changes in indoor environmental factors and sleep efficiency, wakefulness after sleep onset, sleep duration, and linear models for the association with sleep regularity, adjusting for sex, age, educational attainment, and the number of household members. The joint associations of all factors with sleep measures were assessed using quantile g-computation. RESULTS: The participants' mean (standard deviation) age was 55.3 (8.1), and most were female and had a bachelor's degree or higher. In complete case analysis (N = 29, 288 person-days), higher noise levels were associated with lower sleep efficiency (β = -1.81%, 95% CI: -2.00, -0.45), especially among those in the highest quartile vs. the lowest (β = -2.73%, 95% CI: -4.91, -0.54). Higher pressure levels were associated with longer sleep duration (β = 15.22 minutes, 95% CI: 1.11, 28.02) and more irregular sleep (β = 16.07 minutes, 95% CI: 1.40, 30.73). Having higher levels of all environmental factors was associated with lower sleep efficiency (β = -1.38%, 95% CI: -3.01, 0.26). Multiple-imputation analysis yielded consistent results. CONCLUSIONS: Day-by-day changes in indoor physical environment were associated with sleep efficiency, duration, and irregularity among African American adults in the Atlanta Metro area.

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Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69f6e6478071d4f1bdfc6e79https://doi.org/10.1016/j.sleh.2026.03.008
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