| BMC Medicine | |
| Genetic susceptibility and lifestyle modify the association of long-term air pollution exposure on major depressive disorder: a prospective study in UK Biobank | |
| Research Article | |
| Junqing Xie1  Yonghua Hu2  Yu Sun3  Dankang Li4  Yaohua Tian4  Lulin Wang4  | |
| [1] Center for Statistics in Medicine, NDORMS, University of Oxford, The Botnar Research Centre, Oxford, UK;Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191, Beijing, China;Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, 430022, Wuhan, China;Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, 430030, Wuhan, China;Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, 430030, Wuhan, China; | |
| 关键词: Air pollution; Major depressive disorder; Genetic susceptibility; Healthy lifestyle; Interaction; | |
| DOI : 10.1186/s12916-023-02783-0 | |
| received in 2022-03-17, accepted in 2023-02-13, 发布年份 2023 | |
| 来源: Springer | |
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【 摘 要 】
BackgroundEvidence linking air pollution to major depressive disorder (MDD) remains sparse and results are heterogeneous. In addition, the evidence about the interaction and joint associations of genetic risk and lifestyle with air pollution on incident MDD risk remains unclear. We aimed to examine the association of various air pollutants with the risk of incident MDD and assessed whether genetic susceptibility and lifestyle influence the associations.MethodsThis population-based prospective cohort study analyzed data collected between March 2006 and October 2010 from 354,897 participants aged 37 to 73 years from the UK Biobank. Annual average concentrations of PM2.5, PM10, NO2, and NOx were estimated using a Land Use Regression model. A lifestyle score was determined based on a combination of smoking, alcohol drinking, physical activity, television viewing time, sleep duration, and diet. A polygenic risk score (PRS) was defined using 17 MDD-associated genetic loci.ResultsDuring a median follow-up of 9.7 years (3,427,084 person-years), 14,710 incident MDD events were ascertained. PM2.5 (HR: 1.16, 95% CI: 1.07–1.26; per 5 μg/m3) and NOx (HR: 1.02, 95% CI: 1.01–1.05; per 20 μg/m3) were associated with increased risk of MDD. There was a significant interaction between the genetic susceptibility and air pollution for MDD (P-interaction < 0.05). Compared with participants with low genetic risk and low air pollution, those with high genetic risk and high PM2.5 exposure had the highest risk of incident MDD (PM2.5: HR: 1.34, 95% CI: 1.23–1.46). We also observed an interaction between PM2.5 exposure and unhealthy lifestyle (P-interaction < 0.05). Participants with the least healthy lifestyle and high air pollution exposures had the highest MDD risk when compared to those with the most healthy lifestyle and low air pollution (PM2.5: HR: 2.22, 95% CI: 1.92–2.58; PM10: HR: 2.09, 95% CI: 1.78–2.45; NO2: HR: 2.11, 95% CI: 1.82–2.46; NOx: HR: 2.28, 95% CI: 1.97–2.64).ConclusionsLong-term exposure to air pollution is associated with MDD risk. Identifying individuals with high genetic risk and developing healthy lifestyle for reducing the harm of air pollution to public mental health.
【 授权许可】
CC BY
© The Author(s) 2023
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202305156761993ZK.pdf | 1398KB | ||
| Fig. 2 | 229KB | Image | |
| Fig. 3 | 101KB | Image | |
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