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Risk Factors for Cerebrovascular Disease Mortality among the Elderly in Beijing: A Competing Risk Analysis

OBJECTIVE: To examine the associations of combined lifestyle factors and physical conditions with cerebrovascular diseases (CBVD) mortality, after accounting for competing risk events, including death from cardiovascular diseases, cancers and other diseases. METHODS: Data on 2010 subjects aged over...

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Autores principales: Tang, Zhe, Zhou, Tao, Luo, Yanxia, Xie, Changchun, Huo, Da, Tao, Lixin, Pan, Lei, Sun, Fei, Zhu, Huiping, Yang, Xinghua, Wang, Wei, Yan, Aoshuang, Li, Xia, Guo, Xiuhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3913670/
https://www.ncbi.nlm.nih.gov/pubmed/24504327
http://dx.doi.org/10.1371/journal.pone.0087884
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author Tang, Zhe
Zhou, Tao
Luo, Yanxia
Xie, Changchun
Huo, Da
Tao, Lixin
Pan, Lei
Sun, Fei
Zhu, Huiping
Yang, Xinghua
Wang, Wei
Yan, Aoshuang
Li, Xia
Guo, Xiuhua
author_facet Tang, Zhe
Zhou, Tao
Luo, Yanxia
Xie, Changchun
Huo, Da
Tao, Lixin
Pan, Lei
Sun, Fei
Zhu, Huiping
Yang, Xinghua
Wang, Wei
Yan, Aoshuang
Li, Xia
Guo, Xiuhua
author_sort Tang, Zhe
collection PubMed
description OBJECTIVE: To examine the associations of combined lifestyle factors and physical conditions with cerebrovascular diseases (CBVD) mortality, after accounting for competing risk events, including death from cardiovascular diseases, cancers and other diseases. METHODS: Data on 2010 subjects aged over 55 years were finally analyzed using competing risk models. All the subjects were interviewed by the Beijing Longitudinal Study of Aging (BLSA), in China, between 1 January 1992 and 30 August 2009. RESULTS: Elderly females were at a lower risk of death from CBVD than elderly males (HR = 0.639, 95% CI = 0.457–0.895). Increasing age (HR = 1.543, 95% CI = 1.013–2.349), poor self-rated health (HR = 1.652, 95% CI = 1.198–2.277), hypertension (HR = 2.201, 95% CI = 1.524–3.178) and overweight (HR = 1.473, 95% CI = 1.013–2.142) or obesity (HR = 1.711, 95% CI = 1.1754–2.490) was associated with higher CBVD mortality risk. Normal cognition function (HR = 0.650, 95% CI = 0.434–0.973) and living in urban (HR = 0.456, 95% CI = 0.286–0.727) was associated with lower CBVD mortality risk. Gray’s test also confirmed the cumulative incidence (CIF) of CBVD was lower in the ‘married’ group than those without spouse, and the mortality was lowest in the ‘nutrition sufficient’ group among the ‘frequent consumption of meat group’ and the ‘medial type group’ (P value<0.001). CONCLUSIONS: CBVD mortality was associated with gender, age, blood pressure, residence, BMI, cognitive function, nutrition and the result of self-rated health assessment in the elderly in Beijing, China.
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spelling pubmed-39136702014-02-06 Risk Factors for Cerebrovascular Disease Mortality among the Elderly in Beijing: A Competing Risk Analysis Tang, Zhe Zhou, Tao Luo, Yanxia Xie, Changchun Huo, Da Tao, Lixin Pan, Lei Sun, Fei Zhu, Huiping Yang, Xinghua Wang, Wei Yan, Aoshuang Li, Xia Guo, Xiuhua PLoS One Research Article OBJECTIVE: To examine the associations of combined lifestyle factors and physical conditions with cerebrovascular diseases (CBVD) mortality, after accounting for competing risk events, including death from cardiovascular diseases, cancers and other diseases. METHODS: Data on 2010 subjects aged over 55 years were finally analyzed using competing risk models. All the subjects were interviewed by the Beijing Longitudinal Study of Aging (BLSA), in China, between 1 January 1992 and 30 August 2009. RESULTS: Elderly females were at a lower risk of death from CBVD than elderly males (HR = 0.639, 95% CI = 0.457–0.895). Increasing age (HR = 1.543, 95% CI = 1.013–2.349), poor self-rated health (HR = 1.652, 95% CI = 1.198–2.277), hypertension (HR = 2.201, 95% CI = 1.524–3.178) and overweight (HR = 1.473, 95% CI = 1.013–2.142) or obesity (HR = 1.711, 95% CI = 1.1754–2.490) was associated with higher CBVD mortality risk. Normal cognition function (HR = 0.650, 95% CI = 0.434–0.973) and living in urban (HR = 0.456, 95% CI = 0.286–0.727) was associated with lower CBVD mortality risk. Gray’s test also confirmed the cumulative incidence (CIF) of CBVD was lower in the ‘married’ group than those without spouse, and the mortality was lowest in the ‘nutrition sufficient’ group among the ‘frequent consumption of meat group’ and the ‘medial type group’ (P value<0.001). CONCLUSIONS: CBVD mortality was associated with gender, age, blood pressure, residence, BMI, cognitive function, nutrition and the result of self-rated health assessment in the elderly in Beijing, China. Public Library of Science 2014-02-04 /pmc/articles/PMC3913670/ /pubmed/24504327 http://dx.doi.org/10.1371/journal.pone.0087884 Text en © 2014 Tang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Tang, Zhe
Zhou, Tao
Luo, Yanxia
Xie, Changchun
Huo, Da
Tao, Lixin
Pan, Lei
Sun, Fei
Zhu, Huiping
Yang, Xinghua
Wang, Wei
Yan, Aoshuang
Li, Xia
Guo, Xiuhua
Risk Factors for Cerebrovascular Disease Mortality among the Elderly in Beijing: A Competing Risk Analysis
title Risk Factors for Cerebrovascular Disease Mortality among the Elderly in Beijing: A Competing Risk Analysis
title_full Risk Factors for Cerebrovascular Disease Mortality among the Elderly in Beijing: A Competing Risk Analysis
title_fullStr Risk Factors for Cerebrovascular Disease Mortality among the Elderly in Beijing: A Competing Risk Analysis
title_full_unstemmed Risk Factors for Cerebrovascular Disease Mortality among the Elderly in Beijing: A Competing Risk Analysis
title_short Risk Factors for Cerebrovascular Disease Mortality among the Elderly in Beijing: A Competing Risk Analysis
title_sort risk factors for cerebrovascular disease mortality among the elderly in beijing: a competing risk analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3913670/
https://www.ncbi.nlm.nih.gov/pubmed/24504327
http://dx.doi.org/10.1371/journal.pone.0087884
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