摘要详情

ID / 提交时间

84 / 2019-09-14 09:43:20

标题

Multimorbidity in the Elderly in China based on the China Health and Retirement Longitudinal Study

关键字

multimorbidity; spatial correlation; Apriori algorithm; CHARLS

主题及专题

全体主题

状态

摘要录用

作者

Feng Li / Department of Cardiology, Xiamen Fifth Hospital, Xiamen, Fujian, People’s Republic of China

Bin Zhao / Laboratory Department, Xiang’an Hospital of Xiamen University, State Key Laboratory of Molecular Vaccinology and Molecular Diagnosis, Xiamen, Fujian, People’s Republic of China

Xianfa Xuan / Department of Nephrology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, Fujian, People’s Republic of China

Xiaorong Guo / State Key Laboratory of Molecular Vaccinology and Molecular Diagnosis, School of Public Health, Xiamen University, Fujian, People’s Republic of China

Zeyu Zhao / State Key Laboratory of Molecular Vaccinology and Molecular Diagnosis, School of Public Health, Xiamen University, Fujian, People’s Republic of China

Jia Rui / State Key Laboratory of Molecular Vaccinology and Molecular Diagnosis, School of Public Health, Xiamen University, Fujian, People’s Republic of China

Lili Pan / State Key Laboratory of Molecular Vaccinology and Molecular Diagnosis, School of Public Health, Xiamen University, Fujian, People’s Republic of China

Ran An / State Key Laboratory of Molecular Vaccinology and Molecular Diagnosis, School of Public Health, Xiamen University, Fujian, People’s Republic of China

Benhua Zhao / State Key Laboratory of Molecular Vaccinology and Molecular Diagnosis, School of Public Health, Xiamen University, Fujian, People’s Republic of China

Yanhua Su / State Key Laboratory of Molecular Vaccinology and Molecular Diagnosis, School of Public Health, Xiamen University, Fujian, People’s Republic of China

Yuxin Wang / Department of Nephrology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, Fujian, People’s Republic of China

Tianmu Chen / State Key Laboratory of Molecular Vaccinology and Molecular Diagnosis, School of Public Health, Xiamen University, Fujian, People’s Republic of China

摘要

Objective: This study aimed to investigate the spatial distribution and patterns of multimorbidity among the elderly in China.
Methods: 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.
Results: 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).
Conclusion: The status of chronic diseases and multimorbidity among the elderly with a spatial correlation is a significant health issue in China.