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Multimorbidity among Two Million Adults in China

To explore the multimorbidity prevalence and patterns among middle-aged and older adults from China. Data on thirteen chronic diseases were collected from 2,097,150 participants aged over 45 years between January 1st 2011 and December 31st 2015 from Beijing Medical Claim Data for Employees. Associat...

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Autores principales: Wang, Xiaowen, Yao, Shanshan, Wang, Mengying, Cao, Guiying, Chen, Zishuo, Huang, Ziting, Wu, Yao, Han, Ling, Xu, Beibei, Hu, Yonghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277827/
https://www.ncbi.nlm.nih.gov/pubmed/32414117
http://dx.doi.org/10.3390/ijerph17103395
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author Wang, Xiaowen
Yao, Shanshan
Wang, Mengying
Cao, Guiying
Chen, Zishuo
Huang, Ziting
Wu, Yao
Han, Ling
Xu, Beibei
Hu, Yonghua
author_facet Wang, Xiaowen
Yao, Shanshan
Wang, Mengying
Cao, Guiying
Chen, Zishuo
Huang, Ziting
Wu, Yao
Han, Ling
Xu, Beibei
Hu, Yonghua
author_sort Wang, Xiaowen
collection PubMed
description To explore the multimorbidity prevalence and patterns among middle-aged and older adults from China. Data on thirteen chronic diseases were collected from 2,097,150 participants aged over 45 years between January 1st 2011 and December 31st 2015 from Beijing Medical Claim Data for Employees. Association rule mining and hierarchical cluster analysis were applied to assess multimorbidity patterns. Multimorbidity prevalence was 51.6% and 81.3% in the middle-aged and older groups, respectively. The most prevalent disease pair was that of osteoarthritis and rheumatoid arthritis (OARA) with hypertension (HT) (middle-aged: 22.5%; older: 41.8%). Ischaemic heart disease (IHD), HT, and OARA constituted the most common triad combination (middle-aged: 11.0%; older: 31.2%). Among the middle-aged group, the strongest associations were found in a combination of cerebrovascular disease (CBD), OARA, and HT with IHD in males (lift = 3.49), and CBD, OARA, and COPD with IHD in females (lift = 3.24). Among older patients, glaucoma and cataracts in females (lift = 2.95), and IHD, OARA, and glaucoma combined with cataracts in males (lift = 2.45) were observed. Visual impairment clusters, a mixed cluster of OARA, IHD, COPD, and cardiometabolic clusters were detected. Multimorbidity is prevalent among middle-aged and older Chinese individuals. The observations of multimorbidity patterns have implications for improving preventive care and developing appropriate guidelines for morbidity treatment.
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spelling pubmed-72778272020-06-12 Multimorbidity among Two Million Adults in China Wang, Xiaowen Yao, Shanshan Wang, Mengying Cao, Guiying Chen, Zishuo Huang, Ziting Wu, Yao Han, Ling Xu, Beibei Hu, Yonghua Int J Environ Res Public Health Article To explore the multimorbidity prevalence and patterns among middle-aged and older adults from China. Data on thirteen chronic diseases were collected from 2,097,150 participants aged over 45 years between January 1st 2011 and December 31st 2015 from Beijing Medical Claim Data for Employees. Association rule mining and hierarchical cluster analysis were applied to assess multimorbidity patterns. Multimorbidity prevalence was 51.6% and 81.3% in the middle-aged and older groups, respectively. The most prevalent disease pair was that of osteoarthritis and rheumatoid arthritis (OARA) with hypertension (HT) (middle-aged: 22.5%; older: 41.8%). Ischaemic heart disease (IHD), HT, and OARA constituted the most common triad combination (middle-aged: 11.0%; older: 31.2%). Among the middle-aged group, the strongest associations were found in a combination of cerebrovascular disease (CBD), OARA, and HT with IHD in males (lift = 3.49), and CBD, OARA, and COPD with IHD in females (lift = 3.24). Among older patients, glaucoma and cataracts in females (lift = 2.95), and IHD, OARA, and glaucoma combined with cataracts in males (lift = 2.45) were observed. Visual impairment clusters, a mixed cluster of OARA, IHD, COPD, and cardiometabolic clusters were detected. Multimorbidity is prevalent among middle-aged and older Chinese individuals. The observations of multimorbidity patterns have implications for improving preventive care and developing appropriate guidelines for morbidity treatment. MDPI 2020-05-13 2020-05 /pmc/articles/PMC7277827/ /pubmed/32414117 http://dx.doi.org/10.3390/ijerph17103395 Text en © 2020 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
Wang, Xiaowen
Yao, Shanshan
Wang, Mengying
Cao, Guiying
Chen, Zishuo
Huang, Ziting
Wu, Yao
Han, Ling
Xu, Beibei
Hu, Yonghua
Multimorbidity among Two Million Adults in China
title Multimorbidity among Two Million Adults in China
title_full Multimorbidity among Two Million Adults in China
title_fullStr Multimorbidity among Two Million Adults in China
title_full_unstemmed Multimorbidity among Two Million Adults in China
title_short Multimorbidity among Two Million Adults in China
title_sort multimorbidity among two million adults in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277827/
https://www.ncbi.nlm.nih.gov/pubmed/32414117
http://dx.doi.org/10.3390/ijerph17103395
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