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Daytime napping, comorbidity profiles, and the risk of sarcopenia in older individuals

Appropriate daytime napping is associated with the decreased risk of cerebro-cardiovascular diseases, but whether daytime napping affects sarcopenia remains to be explored. Our study plans to examine the associations between sarcopenia with daytime napping and comorbidity. The study population came...

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Autores principales: Hu, Zhigang, Yang, Ailan, Tian, Yufeng, Song, Xinyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663836/
https://www.ncbi.nlm.nih.gov/pubmed/36388101
http://dx.doi.org/10.3389/fphys.2022.1000593
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author Hu, Zhigang
Yang, Ailan
Tian, Yufeng
Song, Xinyu
author_facet Hu, Zhigang
Yang, Ailan
Tian, Yufeng
Song, Xinyu
author_sort Hu, Zhigang
collection PubMed
description Appropriate daytime napping is associated with the decreased risk of cerebro-cardiovascular diseases, but whether daytime napping affects sarcopenia remains to be explored. Our study plans to examine the associations between sarcopenia with daytime napping and comorbidity. The study population came from the China Health and Retirement Longitudinal Study 2011–2015. Latent class analysis (LCA) was used to identify comorbidity profiles based on 14 doctor-diagnosed chronic diseases. Subsequently, smooth function and restricted cubic spline with three binomial regression models determined the associations between sarcopenia with daytime napping and comorbidity profiles. About 18.7% (2,894) and 5.4% (832) of 15,404 individuals were diagnosed with sarcopenia and severe sarcopenia. LCA delineated four classes as the best fit as follows: dominant heart diseases or risks (class 1, N = 2,203), dominant chronic lung diseases (class 2, N = 740), minimal or least diseases (class 3, N = 10,612, reference), and dominant digestive diseases and rheumatism (class 4, N = 1849). Compared with the reference group (class 3), the multivariate-adjusted ORs (95% CIs) of sarcopenia in model 3 were 0.72 (0.60–0.88) for class 1, 1.17 (0.92–1.51) for class 2, and 0.92 (0.77–1.09) for class 4. Smooth function and restricted cubic spline suggested that individuals who napped about 60 min seemingly had the lowest risk of sarcopenia. Individuals who napped for 1–59 min (adjusted OR = 0.80, 95% CI: 0.68–0.94) and 60–119 min (adjusted OR = 0.83, 95% CI: 0.72–0.95) had the significantly lower risk of sarcopenia but not severe sarcopenia than those who did not nap. Insufficient and excessive daytime napping might be associated with the increased risk of sarcopenia, especially in individuals with a dominant chronic lung disease profile.
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spelling pubmed-96638362022-11-15 Daytime napping, comorbidity profiles, and the risk of sarcopenia in older individuals Hu, Zhigang Yang, Ailan Tian, Yufeng Song, Xinyu Front Physiol Physiology Appropriate daytime napping is associated with the decreased risk of cerebro-cardiovascular diseases, but whether daytime napping affects sarcopenia remains to be explored. Our study plans to examine the associations between sarcopenia with daytime napping and comorbidity. The study population came from the China Health and Retirement Longitudinal Study 2011–2015. Latent class analysis (LCA) was used to identify comorbidity profiles based on 14 doctor-diagnosed chronic diseases. Subsequently, smooth function and restricted cubic spline with three binomial regression models determined the associations between sarcopenia with daytime napping and comorbidity profiles. About 18.7% (2,894) and 5.4% (832) of 15,404 individuals were diagnosed with sarcopenia and severe sarcopenia. LCA delineated four classes as the best fit as follows: dominant heart diseases or risks (class 1, N = 2,203), dominant chronic lung diseases (class 2, N = 740), minimal or least diseases (class 3, N = 10,612, reference), and dominant digestive diseases and rheumatism (class 4, N = 1849). Compared with the reference group (class 3), the multivariate-adjusted ORs (95% CIs) of sarcopenia in model 3 were 0.72 (0.60–0.88) for class 1, 1.17 (0.92–1.51) for class 2, and 0.92 (0.77–1.09) for class 4. Smooth function and restricted cubic spline suggested that individuals who napped about 60 min seemingly had the lowest risk of sarcopenia. Individuals who napped for 1–59 min (adjusted OR = 0.80, 95% CI: 0.68–0.94) and 60–119 min (adjusted OR = 0.83, 95% CI: 0.72–0.95) had the significantly lower risk of sarcopenia but not severe sarcopenia than those who did not nap. Insufficient and excessive daytime napping might be associated with the increased risk of sarcopenia, especially in individuals with a dominant chronic lung disease profile. Frontiers Media S.A. 2022-11-01 /pmc/articles/PMC9663836/ /pubmed/36388101 http://dx.doi.org/10.3389/fphys.2022.1000593 Text en Copyright © 2022 Hu, Yang, Tian and Song. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Hu, Zhigang
Yang, Ailan
Tian, Yufeng
Song, Xinyu
Daytime napping, comorbidity profiles, and the risk of sarcopenia in older individuals
title Daytime napping, comorbidity profiles, and the risk of sarcopenia in older individuals
title_full Daytime napping, comorbidity profiles, and the risk of sarcopenia in older individuals
title_fullStr Daytime napping, comorbidity profiles, and the risk of sarcopenia in older individuals
title_full_unstemmed Daytime napping, comorbidity profiles, and the risk of sarcopenia in older individuals
title_short Daytime napping, comorbidity profiles, and the risk of sarcopenia in older individuals
title_sort daytime napping, comorbidity profiles, and the risk of sarcopenia in older individuals
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663836/
https://www.ncbi.nlm.nih.gov/pubmed/36388101
http://dx.doi.org/10.3389/fphys.2022.1000593
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