Evidence map›Paper›PMID 41724960›Full record

ArticleBMC pulmonary medicine2026

Frailty, depressive symptoms, and incident respiratory disease: a CHARLS cohort study.

Yawen Wang, Jiahe Sun, Xiaomin Zhu, Hui Yu, Xiaoyun Zhao

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Article in BMC pulmonary medicine, 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

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5 authors.

Yawen Wang *Department of Respiratory and Critical Care Medicine, Chest Hospital, Tianjin University, Tianjin, 300222, China.
Jiahe Sun *Department of Cardiology, TEDA International Cardiovascular Hospital, Tianjin University, Tianjin, 300457, China.
Xiaomin Zhu *Department of Respiratory and Critical Care Medicine, Chest Hospital, Tianjin University, Tianjin, 300222, China.
Hui YuDepartment of Biomedical Engineering, Tianjin University, Tianjin, 300072, China. yuhui@tju.edu.cn.
Xiaoyun ZhaoDepartment of Respiratory and Critical Care Medicine, Chest Hospital, Tianjin University, Tianjin, 300222, China. zxydoctor@163.com.

Funding

National Clinical Key Specialty Construction Project, Tianjin Key Medical Discipline Construction Project TJYXZDXK-3-032CTianjin Health Science and Technology Clinical Key Specialty Project TJWJ2024ZK003Tianjin Natural Science Foundation 25JCZDJC01400Tianjin Science and Technology Project, Haihe Laboratory of Cell Ecosystem HH24KYZX0009
6 · The paper itself

Abstract

backgroundAgeing populations face a rising burden of asthma and chronic lung disease (CLD). We assessed whether frailty and depressive symptoms—and their changes—predict incident respiratory diseases.

methodsAdults ≥ 45 years from the China Health and Retirement Longitudinal Study (CHARLS) without asthma or CLD at baseline were followed. Multivariable logistic regression estimated odds ratios (ORs) for baseline frailty (per 0.1-unit increase), CES-D-10 depressive symptoms, and transitions across two waves. Dose–response was examined using smoothed curve fitting and threshold effect analysis. We tested the interaction between frailty and depressive symptoms and performed stratified analyses by depressive status. All models were adjusted for comprehensive covariates, including daily cigarette consumption and history of prior lung disease. Sensitivity analyses were conducted by excluding heavy smokers and using an onset-timing proxy respectively.

resultsDuring follow-up, 258 participants developed asthma and 702 developed CLD. In multivariable models, each 0.1-unit increase in the baseline frailty index was associated with a higher risk of asthma (OR = 1.222, 95% CI 1.081–1.381) and, more strongly, with CLD (OR = 1.291, 95% CI 1.190–1.402). For depressive symptoms, each 1-point increase was significantly associated with an increased risk of CLD (OR = 1.032, 95% CI 1.018–1.047), while the association with asthma was positive in direction but did not reach statistical significance (OR = 1.016, 95% CI 0.994–1.039). The interaction between frailty and depressive symptoms was statistically significant for CLD (p < 0.05) but not for asthma, suggesting a synergistic effect for CLD but independent effects for asthma. Smoothed curve fitting showed an approximately linear gradient for depressive symptoms with both outcomes; for FI, the asthma curve rose at low FI and then plateaued, whereas the FI–CLD curve was monotonically increasing. These associations remained robust in sensitivity analyses excluding heavy smokers.

conclusionsFrailty and depressive symptoms are key risk markers for incident respiratory disease in later life. Incorporating brief frailty assessment and depression screening into routine care may improve risk stratification and support upstream, multidisciplinary prevention for asthma and CLD.

Indexed as

AsthmaDepressionFrailtyLung DiseasesAgedChinaChronic DiseaseFemaleHumansIncidenceLogistic ModelsLongitudinal StudiesMaleMiddle AgedMultivariate AnalysisOdds RatioAsthmaCHARLSChronic lung diseaseDepressionFrailty

Identifiers

PMID41724960
PMCPMC13032247

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.