ArticleFrontiers in public health2023
An analysis of socioeconomic factors on multiple chronic conditions and its economic burden: evidence from the National Health Service Survey in Yunnan Province, China.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 5 citations in OpenAlex.
- Analysis of patient activation and its influencing factors among Chinese rural older adults with chronic multimorbidity.Frontiers in public health · 2026Observational
- Prevalence and factors associated with the multiple morbidity of postpartum depression, diabetes mellitus and hypertension among mothers in Mbarara district, south western Uganda: A parallel convergent mixed methods study.SSM. Mental health · 2025Article
- Analysis of the current situation and factors influencing the utilization of somatic and somatic-mental disorder comorbidity and health services among middle-aged and older adult people in China.Frontiers in public health · 2025Article
- Changes in patterns of multimorbidity and associated with medical costs among Chinese middle-aged and older adults from 2013 to 2023: an analysis of repeated cross-sectional surveys in Xiangyang, China.Frontiers in public health · 2024Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
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Abstract
Background: The economic burden of multiple chronic conditions (MCCs) and its socio-economic influencing factors have widely raised public concerns. However, there are few large population-based studies on these problems in China. Our study aims at determining the economic burden of MCCs and associated factors specific to multimorbidity among middle-aged and older individuals. Methods: As our study population, we extracted all 11,304 participants over 35 years old from the 2018 National Health Service Survey (NHSS) in Yunnan. Economic burden and socio-demographic characteristics were analyzed with descriptive statistics. Chi-square test and generalized estimating equations (GEE) regression models were used to identify influencing factors. Results: The prevalence of chronic diseases was 35.93% in 11,304 participants and the prevalence of MCCs increased with age, was 10.12%. Residents who lived in rural areas were more likely to report MCCs than those who lived in urban areas (adjusted Conclusion: The prevalence of MCCs was relatively high among middle-aged and older individuals in Yunnan, China, which bought a heavy economic burden. This encourages policy makers and health providers to pay more attention to the behavioral/lifestyle factors, that contribute to multimorbidity to a great extent. Furthermore, health promotion and education in terms of MCCs need to be prioritized in Yunnan.
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