Xuelin Gu1, Qisijing Liu2, Furong Deng3, Xueqin Wang4, Hualiang Lin5, Xinbiao Guo3, Shaowei Wu6. 1. MSc Student, Department of Occupational and Environmental Health Sciences,School of Public Health,Peking University,China. 2. PhD Student, Department of Occupational and Environmental Health Sciences,School of Public Health,Peking University,China. 3. Professor,Department of Occupational and Environmental Health Sciences,School of Public Health,Peking University,China. 4. Associate Professor,Peking University Sixth Hospital, Peking University Institute of Mental Health,Key Laboratory of Mental Health,Ministry of Health (Peking University),National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital),China. 5. Associate Professor,Department of Medical Statistics and Epidemiology,School of Public Health,Sun Yat-sen University,China. 6. Associate Professor,Department of Occupational and Environmental Health Sciences,School of Public Health,Peking University;Key Laboratory of Molecular Cardiovascular Sciences,Peking University,Ministry of Education,China.
Abstract
BACKGROUND: Some recent studies examined the effect of ambient particulate matter (PM) pollution on depression and suicide. However, the results have been inconclusive.AimsTo determine the overall relationship between PM exposure and depression/suicide in the general population. METHOD: We conducted a systematic review and meta-analysis of case-crossover and cohort studies to assess the association between PM2.5 (particles with an aerodynamic diameter of 2.5 µm or less) or PM10 (particles with an aerodynamic diameter between 2.5 and 10 µm) exposure and depression/suicide. RESULTS: A total of 14 articles (7 for depression and 7 for suicide) with data from 684 859 participants were included in the meta-analysis. With a 10 µg/m3 increase in PM2.5 we found a 19% (odds ratio [95% CI] 1.19 [1.07, 1.33]) increased risk of depression and a marginally increased risk of suicide (odds ratio [95% CI] 1.05 [0.99, 1.11]) in the general population. We did not observe any significant associations between increasing exposure to PM10 and depression/suicide. Sensitivity and subgroup analyses were used to determine the robustness of results. The strongest estimated effect of depression associated with PM2.5 appeared in a long-term lag pattern (odds ratio [95% CI] 1.25 [1.07, 1.45], P < 0.01) and cumulative lag pattern (odds ratio [95% CI] 1.26 [1.07, 1.48], P < 0.01). CONCLUSIONS: The meta-analysis suggested that an increase in ambient PM2.5 concentration was strongly associated with increased depression risk in the general population, and the association appeared stronger at long-term lag and cumulative lag patterns, suggesting a potential cumulative exposure effect over time.Declaration of interestNone.
BACKGROUND: Some recent studies examined the effect of ambient particulate matter (PM) pollution on depression and suicide. However, the results have been inconclusive.AimsTo determine the overall relationship between PM exposure and depression/suicide in the general population. METHOD: We conducted a systematic review and meta-analysis of case-crossover and cohort studies to assess the association between PM2.5 (particles with an aerodynamic diameter of 2.5 µm or less) or PM10 (particles with an aerodynamic diameter between 2.5 and 10 µm) exposure and depression/suicide. RESULTS: A total of 14 articles (7 for depression and 7 for suicide) with data from 684 859 participants were included in the meta-analysis. With a 10 µg/m3 increase in PM2.5 we found a 19% (odds ratio [95% CI] 1.19 [1.07, 1.33]) increased risk of depression and a marginally increased risk of suicide (odds ratio [95% CI] 1.05 [0.99, 1.11]) in the general population. We did not observe any significant associations between increasing exposure to PM10 and depression/suicide. Sensitivity and subgroup analyses were used to determine the robustness of results. The strongest estimated effect of depression associated with PM2.5 appeared in a long-term lag pattern (odds ratio [95% CI] 1.25 [1.07, 1.45], P &lt; 0.01) and cumulative lag pattern (odds ratio [95% CI] 1.26 [1.07, 1.48], P &lt; 0.01). CONCLUSIONS: The meta-analysis suggested that an increase in ambient PM2.5 concentration was strongly associated with increased depression risk in the general population, and the association appeared stronger at long-term lag and cumulative lag patterns, suggesting a potential cumulative exposure effect over time.Declaration of interestNone.
Authors: Omar Hahad; Jos Lelieveld; Frank Birklein; Klaus Lieb; Andreas Daiber; Thomas Münzel Journal: Int J Mol Sci Date: 2020-06-17 Impact factor: 5.923
Authors: Shichun Huang; Huan Feng; Shanshan Zuo; Jingling Liao; Mingquan He; Masayuki Shima; Kenji Tamura; Yang Li; Lu Ma Journal: Int J Environ Res Public Health Date: 2019-06-26 Impact factor: 3.390
Authors: Claudia Iveth Astudillo-García; Laura Andrea Rodríguez-Villamizar; Marlene Cortez-Lugo; Julio César Cruz-De la Cruz; Julián Alfredo Fernández-Niño Journal: Int J Environ Res Public Health Date: 2019-08-18 Impact factor: 3.390