ArticleFrontiers in public health2025
Associations between pulmonary function and depression: evidence from the CHARLS cohort 2015-2018.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Additive Burden of Low Peak Expiratory Flow and Sleep Disturbance on Incident Depressive Symptoms in Later Life: A Four-Cohort Longitudinal Study of 49,201 Participants.Healthcare (Basel, Switzerland) · 2026Article
- Joint Association of Functional Impairment and Depression with Advanced Cardiovascular-Kidney-Metabolic Syndrome: A Cross-Sectional and Cohort Study Using Two Large Datasets.Healthcare (Basel, Switzerland) · 2026Article
- The association between lung function and sensory impairments among chinese middle-aged and older adults: a longitudinal cohort study from CHARLS.NPJ primary care respiratory medicine · 2025Article
- Research advance in correlation between childhood asthma and gut microbiota.Frontiers in cellular and infection microbiology · 2025Review
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Authors and funding
7 authors.
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Abstract
Background: The relationship between lung function and depression in middle-aged and older adults remains poorly understood. To address this knowledge gap, we conducted cross-sectional and longitudinal analyses using data from the nationally representative China Health and Retirement Longitudinal Study (CHARLS) to examine the association between peak expiratory flow (PEF) status and depression among middle-aged and older Chinese adults. Methods: A total of 15,137 participants aged 45 years and older were included from the 2015 China Health and Retirement Longitudinal Study (CHARLS). Participants were categorized into three PEF status groups based on their percentage of predicted PEF: severe impairment (<80%), average lung function (80-100%), and good lung function (≥100%). A total of 12,304 participants were included in the longitudinal analysis from 2015 to 2018. To address potential confounding, propensity score matching was employed using a gradient-boosting model to balance covariates between participants with and without depression. Logistic regression analyses as well as restricted cubic spline (RCS) regression analyses were performed to examine the association between (PEF) status and depression incidence. Findings: The prevalence of depression was 9.53% ( Conclusion: Our study revealed a noteworthy correlation between PEF percentage and depression among the middle-aged and older population. The PEF percentage emerges as a valuable tool that may enhance the primary prevention and treatment of depression.
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