SPECIAL TOPIC: Medical Knowledge Organization And Mining

An Intelligent Association Analysis of Chronic Disease Risk Factors in Older Adults Guided by the Health Ecology Model

  • Feng Jia ,
  • Wei Chengxuan ,
  • Ma Jialei
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  • School of Business and Management, Jilin University, Changchun 130012
Feng Jia, Associate Professor, PhD, Master’s Supervisor;Wei Chengxuan, Master’s Candidate, Corresponding Author, E-mail: weicx@mails.jlu.edu,cn;Ma Jialei, Doctoral Candidate.

Received date: 2025-01-22

  Revised date: 2025-07-09

  Online published: 2026-04-08

Abstract

[Purpose/Significance] Based on the health ecology model, this paper explores the correlations among chronic disease prevalence factors in older adults in China. By analyzing the correlations among the prevalence factors of multiple chronic diseases in the elderly, it aims to provide targeted classification guidance for prevention and treatment. [Method/Process] Using the 2018 China Health and Retirement Longitudinal Study(CHARLS) as the data source, after data cleaning, a final sample of 9,545 individuals aged 60 and above was obtained. With the occurrence of chronic diseases as the dependent variable, independent variables were included based on the health ecology model. The samples were grouped by gender differences. Binary logistic regression was used to analyze the correlations among the influencing factors of chronic disease comorbidity in elderly people of different genders. [Result/Conclusion] The prevalence of chronic disease multimorbidity among older adults is 65.7%(6 274/9 545). The comorbidity of chronic diseases in women(69.0%) is higher than that in men(62.3%)(P<0.05), and there are correlations among several risk factors. The results from multivariate logistic regression analysis show that ethnicity, childhood health status, noon sleep duration, night sleep duration, local medical status, and working status are shared risk factors for multimorbidity in both men and women, and these factors were correlated with each other. The main male-specific influencing factors for comorbidity are marital status[OR(95%CI) = 0.742(0.617,0.891)] and health insurance coverage [OR=1.864, 95%CI(1.251, 2.778)]. Marital status has a certain degree of correlation with local medical status and medical insurance. The main female-specific influencing factor of comorbidity is smoking [OR(95%CI) = 1.307(1.052, 1.625)], but the impact of smoking is less related to other influencing factors. Corresponding prevention strategies for multimorbidity in the elderly should be formulated based on the inter-correlated prevalence factors.

Cite this article

Feng Jia , Wei Chengxuan , Ma Jialei . An Intelligent Association Analysis of Chronic Disease Risk Factors in Older Adults Guided by the Health Ecology Model[J]. Library and Information Service, 2026 , 70(8) : 4 -18 . DOI: 10.13266/j.issn.0252-3116.2026.08.001

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