Synergistic air pollution exposure elevates depression risk: A cohort study

IF 14.3 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Science and Ecotechnology Pub Date : 2024-11-22 DOI:10.1016/j.ese.2024.100515
Yuqing Hao , Longzhu Xu , Meiyu Peng , Zhugen Yang , Weiqi Wang , Fanyu Meng
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Abstract

Depression is a leading mental health disorder worldwide, contributing substantially to the global disease burden. While emerging evidence suggests links between specific air pollutants and depression, the potential interactions among multiple pollutants remain underexplored. Here we show the influence of six common air pollutants on depressive symptoms among middle-aged and older Chinese adults. In single-pollutant models, a 10 μg m−3 increase in SO2, CO, PM10, and PM2.5 is associated with increased risks of depressive symptoms, with odds ratios (95% confidence intervals) of 1.276 (1.238–1.315), 1.007 (1.006–1.008), 1.066 (1.055–1.078), and 1.130 (1.108–1.153), respectively. In two-pollutant models, SO2 remains significantly associated with depressive symptoms after adjusting for other pollutants. Multi-pollutant models uncover synergistic effects, with SO2, CO, NO2, PM10, and PM2.5 exhibiting significant interactions, identifying SO2 as the primary driver of these associations. Mediation analyses further indicate that cognitive and physical impairments partially mediate the relationship between air pollution and depressive symptoms. These findings underscore the critical mental health impacts of air pollution and highlight the need for integrated air quality management strategies. Targeted mitigation of specific pollutants, particularly SO2, is expected to significantly enhance public mental health outcomes.

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协同空气污染暴露增加抑郁症风险:一项队列研究
抑郁症是世界范围内主要的精神健康障碍,对全球疾病负担有很大贡献。虽然新出现的证据表明特定空气污染物与抑郁症之间存在联系,但多种污染物之间的潜在相互作用仍未得到充分探索。在这里,我们展示了六种常见的空气污染物对中国中老年人抑郁症状的影响。在单一污染物模型中,SO2、CO、PM10和PM2.5浓度每增加10 μg m−3与抑郁症状风险增加相关,比值比(95%置信区间)分别为1.276(1.238-1.315)、1.007(1.006-1.008)、1.066(1.055-1.078)和1.130(1.108-1.153)。在双污染物模型中,调整其他污染物后,SO2仍与抑郁症状显著相关。多污染物模型揭示了协同效应,其中SO2、CO、NO2、PM10和PM2.5表现出显著的相互作用,确定SO2是这些关联的主要驱动因素。中介分析进一步表明,认知和身体障碍在空气污染与抑郁症状之间的关系中起部分中介作用。这些发现强调了空气污染对心理健康的重要影响,并强调了制定综合空气质量管理战略的必要性。有针对性地减少特定污染物,特别是二氧化硫,预计将大大提高公众心理健康成果。
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来源期刊
CiteScore
20.40
自引率
6.30%
发文量
11
审稿时长
18 days
期刊介绍: Environmental Science & Ecotechnology (ESE) is an international, open-access journal publishing original research in environmental science, engineering, ecotechnology, and related fields. Authors publishing in ESE can immediately, permanently, and freely share their work. They have license options and retain copyright. Published by Elsevier, ESE is co-organized by the Chinese Society for Environmental Sciences, Harbin Institute of Technology, and the Chinese Research Academy of Environmental Sciences, under the supervision of the China Association for Science and Technology.
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