Traffic-related pollution and symptoms of depression and anxiety among Chinese adults: A population-based study

萧条(经济学) 焦虑 混淆 优势比 置信区间 病人健康调查表 逻辑回归 人口学 人口 广泛性焦虑症 精神科 医学 环境卫生 内科学 抑郁症状 经济 宏观经济学 社会学
作者
Xue Wang,Yibo Wu,Yifei Chen,Jin Xu,Qian Gao,Shuang Zang
出处
期刊:Journal of Affective Disorders [Elsevier]
标识
DOI:10.1016/j.jad.2024.02.046
摘要

Limited understanding exists regarding the associations of traffic-related pollution with depression and anxiety symptoms in individuals residing within low- and middle-income countries. Data for this study were extracted from the Psychology and Behavior Investigation of Chinese Residents (PBICR) survey, implemented between June 20 and August 31, 2023. We determined residential proximity to major roadways through self-reports and evaluated depression symptoms using the Patient Health Questionnaire-9 (PHQ-9), along with anxiety symptoms assessed through the Generalized Anxiety Disorder-7 (GAD-7). We examined the associations between residential proximity to major roadways and depression and anxiety symptoms using logistic regressions and generalized linear models, while controlling for potential confounding variables. This study comprised a total of 22,723 participants. The adjusted odds ratios (OR) for depression symptoms were 1.34 (95 % confidence interval (CI) 1.20, 1.51), 1.29 (95 % CI 1.17, 1.43), 1.34 (95 % CI 1.20, 1.49), and 1.32 (95 % CI 1.17, 1.49) among individuals residing within <50 m, 50–100 m, 101–200 m, and 201–300 m, respectively, in comparison to those residing >300 m from a major roadway. Individuals residing <50 m, 50–100 m, 101–200 m, and 201–300 m from a major roadway exhibited adjusted OR for anxiety symptoms of 1.49 (95 % CI 1.30, 1.69), 1.21 (95 % CI 1.07, 1.37), 1.38 (95 % CI 1.21, 1.56), and 1.38 (95 % CI 1.20, 1.59), respectively, in contrast to those residing >300 m. This study provides valuable insights into the associations between environmental factors and mental health. The findings underscore the importance of integrating environmental considerations into comprehensive mental health frameworks, especially for individuals residing near high-traffic areas.
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