The relationship between air pollution and depression and anxiety disorders – A systematic evaluation and meta-analysis of a cohort-based study

焦虑 荟萃分析 萧条(经济学) 环境卫生 队列研究 空气污染 心理健康 队列 出版偏见 人口 污染 医学 精神科 心理学 内科学 生态学 宏观经济学 经济 生物
作者
Tingting Cao,Meichen Tian,Han‐Hwa Hu,Qingqing Yu,Jing You,Yishu Yang,Zhen An,Jie Song,Guofu Zhang,Guicheng Zhang,Weidong Wu,Hui Wu
出处
期刊:International Journal of Social Psychiatry [SAGE]
卷期号:70 (2): 241-270 被引量:19
标识
DOI:10.1177/00207640231197941
摘要

Objective: To explore the correlation between air pollution and the onset of depression and anxiety disorders, to draw more comprehensive and integrated conclusions, and to provide recommendations for maintaining mental health and developing policies to reduce mental health risks caused by air pollution. Methods: Meta-analysis of cohort study articles exploring the relationship between air pollution and depression or anxiety disorders included in Pubmed, Web Of Science, CNKI, and Wan Fang database before October 31, 2022, and subgroup analysis of the association between air pollution and depression and anxiety disorders regarding the air pollutants studied, the study population, and Publication bias analysis and sensitivity analysis. Results: A total of 25 articles meeting the criteria were included in this study, including 23 articles examining the relationship between air pollution and depression and 5 articles examining the relationship between air pollution and anxiety disorders. The results of the meta-analysis were based on the type of pollutant and showed that there was a high degree of heterogeneity among the studies on the relationship between air pollution and depression and a significant heterogeneity among the studies on PM 2.5 and the risk of anxiety disorders ( I 2 = 71%, p < .01), so a random-effects model was selected for the analysis. CO, O 3 , and SO 2 and depression onset had combined RR values of 1.10 (1.00, 1.20), 1.06 (0.87, 1.29), 1.17 (1.06, 1.31), 1.19 (0.90, 1.58), 1.03 (0.99, 1.07), and 1.09 (0.97, 1.24), respectively, and PM 2.5 and anxiety The combined RR value for morbidity was 1.10 (0.99, 1.22). The results of sensitivity analysis showed that the combined results were stable and reliable. The results of Egger regression method test showed that none of them had significant publication bias ( p > .05). Limitation: Combined exposure to air pollutants on depression and anxiety, further studies by other researchers are needed in the future. Conclusions: PM 2.5 and NO 2 exposure, especially long-term exposure, may be associated with the onset of depression, and no association was found for the time being between PM 10 , CO, O 3 , SO 2 exposure and depression and PM 2.5 exposure and anxiety disorders.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
turbo发布了新的文献求助10
刚刚
l991215y完成签到,获得积分10
刚刚
刚刚
1秒前
123131发布了新的文献求助10
1秒前
犹豫海莲发布了新的文献求助10
1秒前
在水一方应助徐银燕采纳,获得10
2秒前
量子星尘发布了新的文献求助10
2秒前
3秒前
3秒前
bzg发布了新的文献求助10
3秒前
4秒前
4秒前
漏脑之鱼完成签到 ,获得积分10
4秒前
4秒前
高LL完成签到,获得积分10
5秒前
5秒前
酷酷笑旋完成签到,获得积分10
5秒前
5秒前
充电宝应助turbo采纳,获得10
5秒前
老臣完成签到,获得积分10
6秒前
学术小菜鸟完成签到,获得积分20
6秒前
呵呵哒完成签到,获得积分20
6秒前
科目三应助xiaoyuan采纳,获得10
6秒前
今后应助趙途嘵生采纳,获得10
7秒前
asdasd完成签到,获得积分10
7秒前
科研通AI6应助陈秋禹采纳,获得10
7秒前
skyangar发布了新的文献求助10
7秒前
xlx完成签到,获得积分10
8秒前
8秒前
隐形曼青应助mikaqyan采纳,获得10
8秒前
LL发布了新的文献求助10
8秒前
孙帅发布了新的文献求助10
8秒前
zw发布了新的文献求助50
8秒前
呵呵哒发布了新的文献求助10
8秒前
610完成签到,获得积分10
8秒前
chemstation发布了新的文献求助10
9秒前
瞿娜发布了新的文献求助10
10秒前
陈陈陈完成签到,获得积分10
10秒前
科研通AI6应助复杂的如萱采纳,获得10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1561
Specialist Periodical Reports - Organometallic Chemistry Organometallic Chemistry: Volume 46 1000
Current Trends in Drug Discovery, Development and Delivery (CTD4-2022) 800
Foregrounding Marking Shift in Sundanese Written Narrative Segments 600
Holistic Discourse Analysis 600
Beyond the sentence: discourse and sentential form / edited by Jessica R. Wirth 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5526219
求助须知:如何正确求助?哪些是违规求助? 4616313
关于积分的说明 14553183
捐赠科研通 4554594
什么是DOI,文献DOI怎么找? 2495952
邀请新用户注册赠送积分活动 1476311
关于科研通互助平台的介绍 1447978