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The Relationship between the Number of Daily Health-Related Behavioral Risk Factors and Sleep Health of the Elderly in China

This study examined the cross-sectional association among a number of daily health-related behavioral risk factors and sleep among Chinese elderly. A sample of 4993 adults, aged 60 years and older, from the China’s Health-Related Quality of Life Survey for Older Adults 2018 was included in this stud...

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Detalles Bibliográficos
Autores principales: Liu, Xiaojun, Chen, Jingshu, Zhou, Jiayi, Liu, Jianjian, Lertpitakpong, Chanida, Tan, Anran, Wu, Shaotang, Mao, Zongfu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950064/
https://www.ncbi.nlm.nih.gov/pubmed/31817303
http://dx.doi.org/10.3390/ijerph16244905
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author Liu, Xiaojun
Chen, Jingshu
Zhou, Jiayi
Liu, Jianjian
Lertpitakpong, Chanida
Tan, Anran
Wu, Shaotang
Mao, Zongfu
author_facet Liu, Xiaojun
Chen, Jingshu
Zhou, Jiayi
Liu, Jianjian
Lertpitakpong, Chanida
Tan, Anran
Wu, Shaotang
Mao, Zongfu
author_sort Liu, Xiaojun
collection PubMed
description This study examined the cross-sectional association among a number of daily health-related behavioral risk factors and sleep among Chinese elderly. A sample of 4993 adults, aged 60 years and older, from the China’s Health-Related Quality of Life Survey for Older Adults 2018 was included in this study. Five daily health-related behaviors, which included smoking, drinking, unhealthy eating habits, insufficient leisure activities, and physical inactivity were measured. Sleep disturbances and sleep quality were used to represent the respondents’ sleep status. Multiple logistic regression models and multiple linear regression models were established. The odds ratios (ORs) of sleep disturbances for those with one to five health-related risk behaviors were 1.41 (95% CI = 1.11 to 1.78), 2.09 (95% CI = 1.66 to 2.63), 2.54 (95% CI = 1.99 to 3.25), 2.12 (95% CI = 1.60 to 2.80), and 2.49 (95% CI = 1.70 to 3.65), respectively. Individuals with one health-related risk behavior (B = 0.14, 95% CI = −0.23 to −0.06), two health-related risk behaviors (B = 0.21, 95% CI = −0.30 to −0.13), three health-related risk behaviors (B = 0.46, 95% CI = −0.55 to −0.37), four health-related risk behaviors (B = 0.50, 95% CI = −0.62 to −0.39), and five health-related risk behaviors (B = 0.83, 95% CI = −1.00 to −0.66) showed lower scores of self-perceived sleep quality. Having multiple health-risk behaviors was positively correlated with a higher risk of sleep disturbances among Chinese elderly. Moreover, elderly individuals with multiple health-related risk behaviors were significantly associated with poorer sleep quality.
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spelling pubmed-69500642020-01-13 The Relationship between the Number of Daily Health-Related Behavioral Risk Factors and Sleep Health of the Elderly in China Liu, Xiaojun Chen, Jingshu Zhou, Jiayi Liu, Jianjian Lertpitakpong, Chanida Tan, Anran Wu, Shaotang Mao, Zongfu Int J Environ Res Public Health Article This study examined the cross-sectional association among a number of daily health-related behavioral risk factors and sleep among Chinese elderly. A sample of 4993 adults, aged 60 years and older, from the China’s Health-Related Quality of Life Survey for Older Adults 2018 was included in this study. Five daily health-related behaviors, which included smoking, drinking, unhealthy eating habits, insufficient leisure activities, and physical inactivity were measured. Sleep disturbances and sleep quality were used to represent the respondents’ sleep status. Multiple logistic regression models and multiple linear regression models were established. The odds ratios (ORs) of sleep disturbances for those with one to five health-related risk behaviors were 1.41 (95% CI = 1.11 to 1.78), 2.09 (95% CI = 1.66 to 2.63), 2.54 (95% CI = 1.99 to 3.25), 2.12 (95% CI = 1.60 to 2.80), and 2.49 (95% CI = 1.70 to 3.65), respectively. Individuals with one health-related risk behavior (B = 0.14, 95% CI = −0.23 to −0.06), two health-related risk behaviors (B = 0.21, 95% CI = −0.30 to −0.13), three health-related risk behaviors (B = 0.46, 95% CI = −0.55 to −0.37), four health-related risk behaviors (B = 0.50, 95% CI = −0.62 to −0.39), and five health-related risk behaviors (B = 0.83, 95% CI = −1.00 to −0.66) showed lower scores of self-perceived sleep quality. Having multiple health-risk behaviors was positively correlated with a higher risk of sleep disturbances among Chinese elderly. Moreover, elderly individuals with multiple health-related risk behaviors were significantly associated with poorer sleep quality. MDPI 2019-12-04 2019-12 /pmc/articles/PMC6950064/ /pubmed/31817303 http://dx.doi.org/10.3390/ijerph16244905 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Xiaojun
Chen, Jingshu
Zhou, Jiayi
Liu, Jianjian
Lertpitakpong, Chanida
Tan, Anran
Wu, Shaotang
Mao, Zongfu
The Relationship between the Number of Daily Health-Related Behavioral Risk Factors and Sleep Health of the Elderly in China
title The Relationship between the Number of Daily Health-Related Behavioral Risk Factors and Sleep Health of the Elderly in China
title_full The Relationship between the Number of Daily Health-Related Behavioral Risk Factors and Sleep Health of the Elderly in China
title_fullStr The Relationship between the Number of Daily Health-Related Behavioral Risk Factors and Sleep Health of the Elderly in China
title_full_unstemmed The Relationship between the Number of Daily Health-Related Behavioral Risk Factors and Sleep Health of the Elderly in China
title_short The Relationship between the Number of Daily Health-Related Behavioral Risk Factors and Sleep Health of the Elderly in China
title_sort relationship between the number of daily health-related behavioral risk factors and sleep health of the elderly in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950064/
https://www.ncbi.nlm.nih.gov/pubmed/31817303
http://dx.doi.org/10.3390/ijerph16244905
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