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July 8, 2026BMC GeriatricsOpen Access

Prevalence and determinants of multimorbidity in older Chinese adults: a nationwide cross-sectional study using CLASS data

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Authors

YLYan LiCZC Y ZhaoXZXinhao Zhuang

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Overview

Cross-sectional study identifies prevalence and factors influencing multimorbidity among older adults in China, suggesting healthcare improvements.

Key Points

  • This study aims to investigate the prevalence and determinants of multimorbidity among older adults in China.
  • Analyzed data from the 2020 China Longitudinal Aging Social Survey for adults aged ≥ 60 (N=11,372).
  • Defined multimorbidity from 22 self-reported chronic conditions.
  • Utilized Generalized Linear Mixed Model for individual-level analysis and Random Forests for county-level determinants.
  • 46.03% of participants had multimorbidity.
  • Higher odds were linked to older age (OR = 2.24; 95% CI 1.81–2.76) and obesity (OR = 1.90; 95% CI 1.48–2.44).
  • Physical activity and higher educational levels were found to lower odds of multimorbidity (OR = 0.66; 95% CI 0.56–0.77).

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a4de804d2ea289ef6282df9https://doi.org/10.1186/s12877-026-07893-x
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Association between multimorbidity patterns and activities of daily living function among older adults in China: a longitudinal population-based cohort study2025
  2. 2Socioeconomic status and lifestyle as factors of multimorbidity among older adults in China: results from the China Health and Retirement Longitudinal Survey2025
  3. 3Prevalence and pattern of multimorbidity in China: a cross-sectional study of 224,142 adults over 60 years old2024 · 11 citations
  4. 4Association of multimorbidity patterns with potential out-of-hospital clinical service needs: results from a nationally representative sample of older Chinese2025 · 1 citations
  5. 5Comorbidity patterns of chronic respiratory diseases in older Chinese adults: A repeated cross-sectional study from CHARLS2026