Multimorbidity in the elderly in China based on the China Health and Retirement Longitudinal Study.

This study aimed to investigate the spatial distribution and patterns of multimorbidity among the elderly in China. Data on the occurrence of 14 chronic diseases were collected for 9710 elderly participants in the 2015 waves of the China Health and Retirement Longitudinal Study (CHARLS). Web graph,...

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Autores principales:	Xiaorong Guo, Benhua Zhao, Tianmu Chen, Bin Hao, Tao Yang, Huimin Xu
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8e152ce4844048449421f209f62a05c9
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spelling	oai:doaj.org-article:8e152ce4844048449421f209f62a05c92021-12-02T20:18:37ZMultimorbidity in the elderly in China based on the China Health and Retirement Longitudinal Study.1932-620310.1371/journal.pone.0255908https://doaj.org/article/8e152ce4844048449421f209f62a05c92021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0255908https://doaj.org/toc/1932-6203This study aimed to investigate the spatial distribution and patterns of multimorbidity among the elderly in China. Data on the occurrence of 14 chronic diseases were collected for 9710 elderly participants in the 2015 waves of the China Health and Retirement Longitudinal Study (CHARLS). Web graph, Apriori algorithm, age-adjusted Charlson comorbidity index (AAC), and Spatial autocorrelation were used to perform the multimorbidity analysis. The multimorbidity prevalence rate was estimated as 49.64% in the elderly in China. Three major multimorbidity patterns were identified: [Asthma/Chronic lungs diseases]: (Support (S) = 6.17%, Confidence (C) = 63.77%, Lift (L) = 5.15); [Asthma, Arthritis, or rheumatism/ Chronic lungs diseases]: (S = 3.12%, C = 64.03%, L = 5.17); [Dyslipidemia, Hypertension, Arthritis or rheumatism/Heart attack]: (S = 3.96%, C = 51.56, L = 2.69). Results of the AAC analysis showed that the more chronic diseases an elderly has, the lower is the 10-year survival rate (P < 0.001). Global spatial autocorrelation showed a positive spatial correlation distribution for the prevalence of the third multimorbidity pattern in China (P = 0.032). The status of chronic diseases and multimorbidity among the elderly with a spatial correlation is a significant health issue in China.Xiaorong GuoBenhua ZhaoTianmu ChenBin HaoTao YangHuimin XuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0255908 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Xiaorong Guo Benhua Zhao Tianmu Chen Bin Hao Tao Yang Huimin Xu Multimorbidity in the elderly in China based on the China Health and Retirement Longitudinal Study.
description	This study aimed to investigate the spatial distribution and patterns of multimorbidity among the elderly in China. Data on the occurrence of 14 chronic diseases were collected for 9710 elderly participants in the 2015 waves of the China Health and Retirement Longitudinal Study (CHARLS). Web graph, Apriori algorithm, age-adjusted Charlson comorbidity index (AAC), and Spatial autocorrelation were used to perform the multimorbidity analysis. The multimorbidity prevalence rate was estimated as 49.64% in the elderly in China. Three major multimorbidity patterns were identified: [Asthma/Chronic lungs diseases]: (Support (S) = 6.17%, Confidence (C) = 63.77%, Lift (L) = 5.15); [Asthma, Arthritis, or rheumatism/ Chronic lungs diseases]: (S = 3.12%, C = 64.03%, L = 5.17); [Dyslipidemia, Hypertension, Arthritis or rheumatism/Heart attack]: (S = 3.96%, C = 51.56, L = 2.69). Results of the AAC analysis showed that the more chronic diseases an elderly has, the lower is the 10-year survival rate (P < 0.001). Global spatial autocorrelation showed a positive spatial correlation distribution for the prevalence of the third multimorbidity pattern in China (P = 0.032). The status of chronic diseases and multimorbidity among the elderly with a spatial correlation is a significant health issue in China.
format	article
author	Xiaorong Guo Benhua Zhao Tianmu Chen Bin Hao Tao Yang Huimin Xu
author_facet	Xiaorong Guo Benhua Zhao Tianmu Chen Bin Hao Tao Yang Huimin Xu
author_sort	Xiaorong Guo
title	Multimorbidity in the elderly in China based on the China Health and Retirement Longitudinal Study.
title_short	Multimorbidity in the elderly in China based on the China Health and Retirement Longitudinal Study.
title_full	Multimorbidity in the elderly in China based on the China Health and Retirement Longitudinal Study.
title_fullStr	Multimorbidity in the elderly in China based on the China Health and Retirement Longitudinal Study.
title_full_unstemmed	Multimorbidity in the elderly in China based on the China Health and Retirement Longitudinal Study.
title_sort	multimorbidity in the elderly in china based on the china health and retirement longitudinal study.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/8e152ce4844048449421f209f62a05c9
work_keys_str_mv	AT xiaorongguo multimorbidityintheelderlyinchinabasedonthechinahealthandretirementlongitudinalstudy AT benhuazhao multimorbidityintheelderlyinchinabasedonthechinahealthandretirementlongitudinalstudy AT tianmuchen multimorbidityintheelderlyinchinabasedonthechinahealthandretirementlongitudinalstudy AT binhao multimorbidityintheelderlyinchinabasedonthechinahealthandretirementlongitudinalstudy AT taoyang multimorbidityintheelderlyinchinabasedonthechinahealthandretirementlongitudinalstudy AT huiminxu multimorbidityintheelderlyinchinabasedonthechinahealthandretirementlongitudinalstudy
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Multimorbidity in the elderly in China based on the China Health and Retirement Longitudinal Study.

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