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Combined lifestyle factors on mortality among the elder population: evidence from a Chinese cohort study
BACKGROUND: Numerous studies have suggested that lifestyle-related factors are associated with mortality, however limited evidence is available for the Chinese elder population. METHODS: The data of this study was obtained from the Chinese Longitudinal Health Survey (CLHLS) during 2008 − 2018, lifes...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158191/ https://www.ncbi.nlm.nih.gov/pubmed/35650518 http://dx.doi.org/10.1186/s12877-022-03017-3 |
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author | Sun, Changqing Liu, Huimin Xu, Fei Qin, Ying Wang, Panpan Zhou, Qianyu Liu, Dandan Jia, Shanqun Zhang, Qiang |
author_facet | Sun, Changqing Liu, Huimin Xu, Fei Qin, Ying Wang, Panpan Zhou, Qianyu Liu, Dandan Jia, Shanqun Zhang, Qiang |
author_sort | Sun, Changqing |
collection | PubMed |
description | BACKGROUND: Numerous studies have suggested that lifestyle-related factors are associated with mortality, however limited evidence is available for the Chinese elder population. METHODS: The data of this study was obtained from the Chinese Longitudinal Health Survey (CLHLS) during 2008 − 2018, lifestyle-related factors including body mass index (BMI), smoking, drinking, consumption of vegetables and fruits, physical activity and sleep duration were included as dependent variables in the analysis. A lifestyle risk score was created using six unhealthy behaviors: smoking, drinking, unhealthy weight, physical inactivity, not eat vegetables or fruits and short or prolonged sleep. The Kaplan–Meier curves were used to illustrate the cumulative effect of lifestyle factors on mortality and cox regression models were conducted to estimate the combined effects of lifestyle-related factors on total mortality. RESULTS: The results illustrated that low BMI, smoking, no fruit eating, and no physical inactivity were risk factors for total mortality. KM curves showed significant cumulative effect of unhealthy lifestyle factors on mortality. Compared with participants without any unhealthy factors, the hazard ratio (HR) for participants with six unhealthy factors was 1.335 (1.015,1.757) for all-cause mortality. CONCLUSIONS: This study demonstrated poor adherence to a healthy lifestyle may increase all-cause mortality and specific combinations of lifestyle related factors have different effects on mortality among Chinese elderly population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03017-3. |
format | Online Article Text |
id | pubmed-9158191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91581912022-06-02 Combined lifestyle factors on mortality among the elder population: evidence from a Chinese cohort study Sun, Changqing Liu, Huimin Xu, Fei Qin, Ying Wang, Panpan Zhou, Qianyu Liu, Dandan Jia, Shanqun Zhang, Qiang BMC Geriatr Research BACKGROUND: Numerous studies have suggested that lifestyle-related factors are associated with mortality, however limited evidence is available for the Chinese elder population. METHODS: The data of this study was obtained from the Chinese Longitudinal Health Survey (CLHLS) during 2008 − 2018, lifestyle-related factors including body mass index (BMI), smoking, drinking, consumption of vegetables and fruits, physical activity and sleep duration were included as dependent variables in the analysis. A lifestyle risk score was created using six unhealthy behaviors: smoking, drinking, unhealthy weight, physical inactivity, not eat vegetables or fruits and short or prolonged sleep. The Kaplan–Meier curves were used to illustrate the cumulative effect of lifestyle factors on mortality and cox regression models were conducted to estimate the combined effects of lifestyle-related factors on total mortality. RESULTS: The results illustrated that low BMI, smoking, no fruit eating, and no physical inactivity were risk factors for total mortality. KM curves showed significant cumulative effect of unhealthy lifestyle factors on mortality. Compared with participants without any unhealthy factors, the hazard ratio (HR) for participants with six unhealthy factors was 1.335 (1.015,1.757) for all-cause mortality. CONCLUSIONS: This study demonstrated poor adherence to a healthy lifestyle may increase all-cause mortality and specific combinations of lifestyle related factors have different effects on mortality among Chinese elderly population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03017-3. BioMed Central 2022-06-01 /pmc/articles/PMC9158191/ /pubmed/35650518 http://dx.doi.org/10.1186/s12877-022-03017-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Sun, Changqing Liu, Huimin Xu, Fei Qin, Ying Wang, Panpan Zhou, Qianyu Liu, Dandan Jia, Shanqun Zhang, Qiang Combined lifestyle factors on mortality among the elder population: evidence from a Chinese cohort study |
title | Combined lifestyle factors on mortality among the elder population: evidence from a Chinese cohort study |
title_full | Combined lifestyle factors on mortality among the elder population: evidence from a Chinese cohort study |
title_fullStr | Combined lifestyle factors on mortality among the elder population: evidence from a Chinese cohort study |
title_full_unstemmed | Combined lifestyle factors on mortality among the elder population: evidence from a Chinese cohort study |
title_short | Combined lifestyle factors on mortality among the elder population: evidence from a Chinese cohort study |
title_sort | combined lifestyle factors on mortality among the elder population: evidence from a chinese cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158191/ https://www.ncbi.nlm.nih.gov/pubmed/35650518 http://dx.doi.org/10.1186/s12877-022-03017-3 |
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