The association between physical activity and a composite measure of sleep health.

Autor: Kubala AG; Physical Activity and Weight Management Research Center, Department of Health and Physical Activity, University of Pittsburgh, 32 Oak Hill Court, Pittsburgh, PA, 15261, USA., Buysse DJ; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA., Brindle RC; Department of Cognitive and Behavioral Science & Neuroscience Program, Washington and Lee University, Lexington, VA, USA., Krafty RT; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA., Thayer JF; Department of Psychological Science, University of California, Irvine, CA, USA., Hall MH; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA., Kline CE; Physical Activity and Weight Management Research Center, Department of Health and Physical Activity, University of Pittsburgh, 32 Oak Hill Court, Pittsburgh, PA, 15261, USA. chriskline@pitt.edu.
Jazyk: angličtina
Zdroj: Sleep & breathing = Schlaf & Atmung [Sleep Breath] 2020 Sep; Vol. 24 (3), pp. 1207-1214. Date of Electronic Publication: 2020 Jan 03.
DOI: 10.1007/s11325-019-02007-x
Abstrakt: Purpose: Physical activity has been associated with several individual dimensions of sleep. However, the association between physical activity and sleep health, a construct that emphasizes the multidimensional nature of sleep, has not been explored. This analysis examined the relationship between physical activity and a composite measure of sleep health.
Methods: A total of 114 adults (66% female, 60.3 ± 9.2 years) were included in the analyses. Participants reported daily light-intensity physical activity (LPA) and moderate- and vigorous-intensity physical activity (MVPA) via diary, while wearing a pedometer (Omron HJ-720ITC) to measure daily steps. Sleep health was measured using the RU_SATED questionnaire, which addresses regularity of sleep patterns, satisfaction with sleep, daytime alertness, and sleep timing, efficiency, and duration. Multiple linear regression, binary logistic regression, and analysis of covariance (ANCOVA) were utilized for analyses.
Results: Mean sleep health score was 9.6 ± 2.4 (0 [poor]-12 [good]). Participants reported 62.9 ± 66.0 and 51.2 ± 51.2 min/day of LPA and MVPA, respectively, and took 5585.5 ± 2806.7 steps/day. Greater MVPA was associated with better sleep health (β = 0.27, P = 0.005) and sleep health scores differed between those reporting < 30 min/day and ≥ 60 min/day of MVPA (P = 0.004). Greater MVPA was associated with higher odds of having good sleep satisfaction (OR = 1.58 [1.14-2.20], P < 0.01), timing (OR = 2.07 [1.24-3.46], P < 0.01), and duration (OR = 1.48 [1.02-2.18], P = 0.04). Pedometer-based physical activity and LPA were not related to sleep health or its individual dimensions.
Conclusions: In middle- to older-aged adults, higher-intensity activity, but not lower-intensity or volume of activity, was associated with greater sleep health. These data suggest that physical activity intensity may be important for sleep health.
Databáze: MEDLINE
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