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Prevalence and Patterns of Comorbidity Among Middle-Aged and Elderly People in China: A Cross-Sectional Study Based on CHARLS Data

INTRODUCTION: Under the background of the accelerated aging of the population, comorbidity in the elderly has gradually become a social problem. At present, the related studies on chronic diseases are mainly focused on a single disease. This study aimed to investigate the prevalence of common chroni...

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Autores principales: Fan, Zhao-Ya, Yang, Yuan, Zhang, Chang-Hong, Yin, Ruo-Yun, Tang, Lei, Zhang, Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8071077/
https://www.ncbi.nlm.nih.gov/pubmed/33907449
http://dx.doi.org/10.2147/IJGM.S309783
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author Fan, Zhao-Ya
Yang, Yuan
Zhang, Chang-Hong
Yin, Ruo-Yun
Tang, Lei
Zhang, Fan
author_facet Fan, Zhao-Ya
Yang, Yuan
Zhang, Chang-Hong
Yin, Ruo-Yun
Tang, Lei
Zhang, Fan
author_sort Fan, Zhao-Ya
collection PubMed
description INTRODUCTION: Under the background of the accelerated aging of the population, comorbidity in the elderly has gradually become a social problem. At present, the related studies on chronic diseases are mainly focused on a single disease. This study aimed to investigate the prevalence of common chronic diseases, the conditions and patterns of comorbidity in middle-aged and elderly people in China. METHODS: We extracted the data from China Health and Retirement Longitudinal Study (CHARLS). A total of 14 diseases were included, and the prevalence was assessed by self-report. We calculate different disease combinations and perform descriptive statistics analysis of chronic disease and comorbidity status. RESULTS: Among the 6754 subjects, 2833 (42.0%) people had at least one chronic disease, and 1138 (17.0%) people had two or more diseases at the same time. The top three diseases of prevalence were hypertension (15.4%), arthritis or rheumatism (11.0%), and stomach or digestive diseases (9.3%). Common dual disease combinations were hypertension and dyslipidemia, hypertension and arthritis or rheumatism, arthritis or rheumatism and stomach or digestive diseases. CONCLUSION: Comorbidity is common in the population, and the pattern of chronic disease comorbidity is complex. Hypertension exists in a variety of comorbidity patterns, and its screening and prevention should be strengthened.
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spelling pubmed-80710772021-04-26 Prevalence and Patterns of Comorbidity Among Middle-Aged and Elderly People in China: A Cross-Sectional Study Based on CHARLS Data Fan, Zhao-Ya Yang, Yuan Zhang, Chang-Hong Yin, Ruo-Yun Tang, Lei Zhang, Fan Int J Gen Med Original Research INTRODUCTION: Under the background of the accelerated aging of the population, comorbidity in the elderly has gradually become a social problem. At present, the related studies on chronic diseases are mainly focused on a single disease. This study aimed to investigate the prevalence of common chronic diseases, the conditions and patterns of comorbidity in middle-aged and elderly people in China. METHODS: We extracted the data from China Health and Retirement Longitudinal Study (CHARLS). A total of 14 diseases were included, and the prevalence was assessed by self-report. We calculate different disease combinations and perform descriptive statistics analysis of chronic disease and comorbidity status. RESULTS: Among the 6754 subjects, 2833 (42.0%) people had at least one chronic disease, and 1138 (17.0%) people had two or more diseases at the same time. The top three diseases of prevalence were hypertension (15.4%), arthritis or rheumatism (11.0%), and stomach or digestive diseases (9.3%). Common dual disease combinations were hypertension and dyslipidemia, hypertension and arthritis or rheumatism, arthritis or rheumatism and stomach or digestive diseases. CONCLUSION: Comorbidity is common in the population, and the pattern of chronic disease comorbidity is complex. Hypertension exists in a variety of comorbidity patterns, and its screening and prevention should be strengthened. Dove 2021-04-21 /pmc/articles/PMC8071077/ /pubmed/33907449 http://dx.doi.org/10.2147/IJGM.S309783 Text en © 2021 Fan et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Fan, Zhao-Ya
Yang, Yuan
Zhang, Chang-Hong
Yin, Ruo-Yun
Tang, Lei
Zhang, Fan
Prevalence and Patterns of Comorbidity Among Middle-Aged and Elderly People in China: A Cross-Sectional Study Based on CHARLS Data
title Prevalence and Patterns of Comorbidity Among Middle-Aged and Elderly People in China: A Cross-Sectional Study Based on CHARLS Data
title_full Prevalence and Patterns of Comorbidity Among Middle-Aged and Elderly People in China: A Cross-Sectional Study Based on CHARLS Data
title_fullStr Prevalence and Patterns of Comorbidity Among Middle-Aged and Elderly People in China: A Cross-Sectional Study Based on CHARLS Data
title_full_unstemmed Prevalence and Patterns of Comorbidity Among Middle-Aged and Elderly People in China: A Cross-Sectional Study Based on CHARLS Data
title_short Prevalence and Patterns of Comorbidity Among Middle-Aged and Elderly People in China: A Cross-Sectional Study Based on CHARLS Data
title_sort prevalence and patterns of comorbidity among middle-aged and elderly people in china: a cross-sectional study based on charls data
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8071077/
https://www.ncbi.nlm.nih.gov/pubmed/33907449
http://dx.doi.org/10.2147/IJGM.S309783
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