Evidence map›Paper›PMID 42478176›Full record

ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2026

[Associations between multimorbidity patterns and depressive symptoms among middle-aged and older adults: a latent class analysis based on CHARLS data].

Yan Sun, Caixu Zhao, Songhao Peng, Tao Zhang, Yuanyuan Liang, Yunlong Cui

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Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Yan SunSchool of Management, Shanxi Medical University, Taiyuan 030600, China. sunyan.sx@163.com.
Caixu ZhaoSchool of Management, Shanxi Medical University, Taiyuan 030600, China.
Songhao PengSchool of Humanities and Social Sciences, Shanxi Medical University, Taiyuan 030600, China.
Tao ZhangSchool of Humanities and Social Sciences, Shanxi Medical University, Taiyuan 030600, China.
Yuanyuan LiangSchool of Management, Shanxi Medical University, Taiyuan 030600, China.
Yunlong CuiSchool of Management, Shanxi Medical University, Taiyuan 030600, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine the association between different multimorbidity patterns and depressive symptoms among middle-aged and older adults.

methodsData were obtained from 491 middle-aged and older adults with multimorbidity in the 2020 China Health and Retirement Longitudinal Study (CHARLS). Latent class analysis (LCA) was used to identify distinct multimorbidity patterns. Models with one to four classes were fitted sequentially, and the optimal model was selected based on a comprehensive evaluation of the model fit indices and interpretability. Logistic regression was applied to assess the associations between latent classes and depressive symptoms, adjusting for sex, age, marital status, residence, income status, and number of chronic conditions.

resultsThe prevalence of depressive symptoms among individuals with multimorbidity was 37.1%. Three multimorbidity patterns were identified: a cardiometabolic pattern, a digestive-musculoskeletal pattern, and a respiratory pattern. After adjusting for covariates, significant differences in depressive symptoms were observed across patterns. Compared with the cardiometabolic pattern, individuals in the digestive-musculoskeletal pattern had a higher likelihood of depressive symptoms (OR=1.795, 95%CI: 1.14-2.82,

conclusionsMultimorbidity patterns are associated with depressive symptoms among middle-aged and older adults, among which the digestive-musculoskeletal pattern is particularly linked to a higher risk of depression.

Indexed as

DepressionMultimorbidityAgedChinaFemaleHumansLatent Class AnalysisLogistic ModelsLongitudinal StudiesMaleMiddle AgedDepressive symptomsLatent class analysisMiddle-aged and older adultsMultimorbidity

Identifiers

PMID42478176
PMCPMC13598565

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