Observational studyBMC psychiatry2025
Association between depression and asthma: insight from observational and genetic evidence.
Observational study in BMC psychiatry, 2025. 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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Who cites it
5 citing papers in PubMed.
- Unknotting the nexus of asthma and neuroinflammation: from brain network alterations to therapeutic implications.Journal of neuroinflammation · 2026Review
- Identifying predictor factors for asthma using machine learning: evidence from the English Longitudinal Study of Ageing.BMC public health · 2026Article
- The associations between dynapenic abdominal obesity and new-onset asthma: a prospective cohort study from the English Longitudinal Study of Ageing.BMC pulmonary medicine · 2026Article
- Frailty, depressive symptoms, and incident respiratory disease: a CHARLS cohort study.BMC pulmonary medicine · 2026Article
- Associations of inflammatory burden index with the prevalence and mortality of asthma in adults: a population based study.Journal of thoracic disease · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundDepression and asthma share several pathophysiologic risk factors, and their precise connection remains unclear. Our research seeks to assess the relationship between depression and asthma.
methodsThe association between depression and asthma was assessed through a multivariable logistic regression analysis, with data sourced from The National Health and Nutrition Examination Survey (NHANES) 2007-2018 and the English Longitudinal Study of Ageing (ELSA) 2004-2019. Subsequently, a linkage disequilibrium score regression (LDSC) analysis was conducted to evaluate the genetic correlation between depression and asthma. Moreover, a two-sample Mendelian randomization (MR) analysis was conducted by employing genome-wide association study (GWAS) summary statistics by means of both univariable MR (UVMR) and multivariable MR (MVMR).
resultsThis study included 31,434 participants from NHANES and 17,021 participants from ELSA for observational research. In the unadjusted model, participants with depression had a significantly increased risk of asthma in comparison to participants without depression, both in NHANES (OR = 2.002, 95%CI: 1.827-2.193, P < 0.001) and in ELSA (OR = 1.753, 95%CI: 1.581-1.943, P < 0.001). After adjusting potential confounders, the results remain significant. The LDSC result revealed a significant positive genetic correlation between depression and asthma (rg = 0.352, P < 0.001).The UVMR results further substantiated a genetically predicted causality of depression on asthma (OR = 1.291, 95%CI: 1.157-1.442, P < 0.001), while the reverse causality does not stand. Similar findings from MVMR were obtained for the causality investigation after adjusting smoking (OR = 1.326, 95%CI: 1.156-1.520, P < 0.001), drinking (OR = 1.375, 95%CI: 1.186-1.593, P < 0.001), and education (OR = 1.425, 95%CI: 1.253-1.621, P < 0.001).
conclusionOur findings indicate that depression may play a contributory role in the development of asthma, underscoring the potential benefit of implementing prevention strategies aimed at managing depression to mitigate asthma risk.
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