Abnormal sleep duration is associated with sarcopenia in older Chinese people: A large retrospective cross-sectional study
Aim: Abnormalities in sleep patterns are a common health problem for the older adults. The relationship between sarcopenia and sleep duration in older people is controversial. This research is to examine the association between sleep duration and sarcopenia. Methods: We drew 21,095 adults from the China Health and Retirement Longitudinal Survey (CHARLS). Not only we explore the relationship between sleep duration and sarcopenia, but also compare sleep duration to three sarcopenia subcomponents. Moreover, the sensitivity analysis was conducted by the gender and residence area to ascertain the discrepancy, separately. Finally, using restricted cubic spline to find the non-linear association between them. Results: Among 7,342 community older adults engaged by CHARLS in 2015, the incidence of possible sarcopenia and sarcopenia was 23.14 and 11.30%, separately. Sleep duration (≤6 h) [OR (95%CI) = 1.30 (1.03–1.65), p < 0.05] and (≥8 h) [OR (95%CI) = 1.33 (1.05–1.69), p < 0.05] were significantly linked with possible sarcopenia, while long sleep duration (≥8 h) [OR (95%CI) = 1.41 (1.01–2.02), p < 0.05] was correlated strongly with sarcopenia. A non-linear relationship (U-shaped) between sarcopenia risk and sleep duration was found (p for non-linear = 0.009). Conclusions: Our findings highlight the importance of sleep duration in the onset of sarcopenia and might assist older persons to maintain good sleeping habits.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Abnormal sleep duration is associated with sarcopenia in older Chinese people: A large retrospective cross-sectional study ; volume:19 ; number:1 ; year:2024 ; extent:9
Open medicine ; 19, Heft 1 (2024) (gesamt 9)
- Urheber
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Peng, Xilin
Zhou, Ruihao
Liu, Congqi
Chen, Xudong
Zhu, Tao
Chen, Guo
- DOI
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10.1515/med-2024-0938
- URN
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urn:nbn:de:101:1-2024040115495803061574
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 11:01 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Peng, Xilin
- Zhou, Ruihao
- Liu, Congqi
- Chen, Xudong
- Zhu, Tao
- Chen, Guo
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