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84 / 2019-09-14 09:43:20
Multimorbidity in the Elderly in China based on the China Health and Retirement Longitudinal Study
multimorbidity; spatial correlation; Apriori algorithm; CHARLS
Plenary track
Abstract Accepted
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
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.
Important Date

  • Conference Date

    Dec 20

    2019

    to

    Dec 22

    2019

  • Nov 15 2019

    Draft Paper Acceptance Notification

  • Dec 22 2019

    Draft paper submission deadline

  • Dec 22 2019

    Registration deadline

Organized By
Xiangya School of Public Health
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