The association of zero walking cadence minutes with sleep quality in adults 18-65.
Autor: | Hargens TA; Human Performance Laboratory, Integrative Nutrition and Physiology Laboratory, Department of Kinesiology MSC 2302, James Madison University, 261 Bluestone Dr., Harrisonburg, VA, 22807, USA. hargenta@jmu.edu., Scott MC; Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, VA, 23284, USA., Peterson M; Human Performance Laboratory, Department of Kinesiology, James Madison University, Harrisonburg, VA, 22807, USA., Bennett KC; Human Performance Laboratory, Department of Kinesiology, James Madison University, Harrisonburg, VA, 22807, USA., Thome T; Human Performance Laboratory, Department of Kinesiology, James Madison University, Harrisonburg, VA, 22807, USA., Edwards ES; Human Performance Laboratory, Morrison Bruce Center, Department of Kinesiology, James Madison University, Harrisonburg, VA, 22807, USA. |
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Jazyk: | angličtina |
Zdroj: | Sleep & breathing = Schlaf & Atmung [Sleep Breath] 2024 Nov 25; Vol. 29 (1), pp. 3. Date of Electronic Publication: 2024 Nov 25. |
DOI: | 10.1007/s11325-024-03175-1 |
Abstrakt: | Purpose: Physical activity (PA) guidelines suggest a link between PA, sedentary time, and sleep quality (SQ). Step cadence is an emerging proxy for PA intensity, with zero cadence (ZC) indicating sedentary time. No research has explored the relationship between ZC and SQ. This study examines the relationship between ZC and SC, compared to traditional PA and sedentary metrics, all measured via accelerometry. Methods: Sleep and PA was assessed in 138 adults (53 male, 85 female, age = 23.5 ± 8.0 year.) via accelerometry. Sedentary, light, moderate, vigorous intensity PA, and ZC minutes per day were measured. SQ variables included sleep efficiency (SE), total sleep time (TST), and minutes of awake time after sleep onset (WASO). Correlation analysis and analysis of covariance was used to assess relationships between study variables and to assess differences in PA and sedentary behavior between normal and poor sleepers. Results: Sedentary time was negatively associated with SE (r = -0.24, P < 0.05) and TST (r = -0.51, P < 0.001). ZC was negatively associated with SE (r = -0.25, P < 0.05), TST (r = -0.39, P < 0.001) and positively associated with WASO (r = 0.17, P < 0.001). Poor sleepers accumulated greater ZC minutes than normal sleepers when categorized by SE (555.9 ± 69.1 vs. 521.6 ± 83.7, P = 0.02)) or TST (570.4 ± 77.7 vs. 524.5 ± 76.7, P < 0.01). Conclusion: Results suggest that zero cadence minutes is a viable metric for assessing sedentary time and may be of greater utility to more traditional measure of sedentary time. Competing Interests: Declarations. Ethical approval: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent: Informed consent was obtained from all individual participants included in the study. Conflict of interest: All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript. (© 2024. The Author(s).) |
Databáze: | MEDLINE |
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