https://library.icmglt.org/files/original/c8c968d02e874755d77b67fc025a3ab2.png afaf667d1627d4caecb73e090bafbd13 https://library.icmglt.org/files/original/4f10390d25d9479c28bd26e9c0d7308a.pdf 014c01c5205f1c1fc50cb7e7aacef2e7 Electronic Resource View Source <a href="https://doi.org/10.1186/s12888-025-07245-w">https://doi.org/10.1186/s12888-025-07245-w</a> Document Type Research paper Author(s) Tanao Ji, Yue Lv, Jianan Yang, Xianping Diao, Jun Gu Volume Vol. 25 Publisher BioMed Central (London) Journal Name BMC Psychiatry Publication Date 2025 ISBN 1471244X Language English Access Open Access Abstract Background Depression and asthma share several pathophysiologic risk factors, and their precise connection remains unclear. Our research seeks to assess the relationship between depression and asthma. Methods The 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). Results This 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). Conclusion Our 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. Cataloger Haley Lesemann Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Association Between Depression and Asthma: insight from observational and genetic evidence Subject The topic of the resource Depression, Mental--Genetic aspects Depression Genetics Mental Health Risk Factors