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CN 34-1304/RISSN 1674-3679

Volume 28 Issue 1
Jan.  2024
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Article Contents
LI Yanping, WANG Yuan, JI Zhilin, BAI Jingyan, ZHANG Yanbo, LU Jiao. Association of multimorbidity patterns with activity of daily living and instrumental activity of daily living disability among ≥45 years middle-aged and elderly population in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(1): 26-31. doi: 10.16462/j.cnki.zhjbkz.2024.01.005
Citation: LI Yanping, WANG Yuan, JI Zhilin, BAI Jingyan, ZHANG Yanbo, LU Jiao. Association of multimorbidity patterns with activity of daily living and instrumental activity of daily living disability among ≥45 years middle-aged and elderly population in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(1): 26-31. doi: 10.16462/j.cnki.zhjbkz.2024.01.005

Association of multimorbidity patterns with activity of daily living and instrumental activity of daily living disability among ≥45 years middle-aged and elderly population in China

doi: 10.16462/j.cnki.zhjbkz.2024.01.005
Funds:

The Humanities and Social Science Research Planning Foundation of the Ministry of Education 22YJA630059

The 15th Batch of China Postdoctoral Science Foundation 2022T150514

National Natural Science Foundation of China 71804101

More Information
  • Corresponding author: ZHANG Yanbo, E-mail: sxmuzyb@126.com; LU Jiao, E-mail: lujiao801@163.com
  • Received Date: 2023-05-17
  • Rev Recd Date: 2023-09-03
  • Available Online: 2024-02-05
  • Publish Date: 2024-01-10
  •   Objective  To cluster the epidemic situation of multimorbidity patterns in middle-aged and elderly people aged 45 years and above in China, and explore the relationship between multimorbidity patterns and activity of daily living (ADL)/instrumental activity of daily living (IADL) disability.  Methods  Based on the 2018 China Health and Retirement Longitudinal Study (CHARLS), the study included a total of 19 745 individuals aged 45 years and older from the middle-aged and elderly population. To identify non-random multimorbidity patterns, a two-way clustering framework (TCF) was utilized for clustering people, while logistic regression was employed to analyze the association between multimorbidity patterns and ADL/IADL disability.  Results  The number of middle-aged and elderly patients with multimorbidity in China was 10 941, accounting for 55.4% of the sample, which could be clustered into three patterns: cardio-cerebrovascular-metabolic pattern, respiratory system-visceral pattern and digestion-articular-mental pattern. According to the association strength of multimorbidity patterns, the population was divided into five multimorbidity association groups. ADL/IADL disability burden was the highest in people with highly related cardio-cerebrovascular-metabolic pattern and digestion-articular-mental pattern (OR=4.696, 95% CI: 4.196-5.255, P < 0.001; OR=3.155, 95% CI: 2.840-3.504, P < 0.001). The risk of ADL /IADL disability in people with highly related cardio-cerebrovascular metabolic pattern and moderate related respiratory system-visceral pattern was the second (OR=2.821, 95% CI: 2.210-3.602, P < 0.001; OR=2.662, 95% CI: 2.120-3.342, P < 0.001).  Conclusions  The risk of ADL /IADL disability is the highest in middle-aged and elderly people with highly related cardio-cerebrovascular metabolic patterns.
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