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Impact of Outdoor Environmental Exposome on Depressive Symptoms Among Children Aged 9–14 in China

环境卫生 暴露的 可能性 心理干预 优势比 心理健康 医学 萧条(经济学) 中国 人口 生活质量(医疗保健) 水平设计 多级模型 老年学 横断面研究 人口学 抑郁症状 环境流行病学 环境质量 空气质量指数 纵向研究 逻辑回归 效果修正 环境科学 基线(sea) 地理 回归分析 公共卫生 生态学研究 空气污染物 疾病负担 联想(心理学)
作者
Yaqi Wang,Di Shi,Jiajia Dang,Jieyu Liu,Y. L. Liu,Ziyue Chen,Jianhui Guo,Xinyao Lian,Yihang Zhang,Xinxin Wang,Jieyun Song,Yanhui Dong,Jing Li,Yi Song
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:60 (6): 4565-4578
标识
DOI:10.1021/acs.est.5c10618
摘要

To assess associations between multiple environmental factors and depressive symptoms (DS) among children and adolescents, we conducted a school-based longitudinal study among 1,418 Chinese students aged 9–14 years, with baseline and follow-up surveys conducted from 2022 to 2023. Twenty outdoor environmental exposures from three domains, air pollutants, meteorological conditions, and geographical features were assessed. DS was measured using the Center for Epidemiologic Studies Depression Scale. An exposome-wide association study was used to explore associations and identify important environmental exposures related to DS, followed by eXtreme Gradient Boosting to rank their relative importance. Composite scores for three environmental domains were constructed to assess their joint impacts on DS. Exposure to PM2.5, PM10, temperature, wind speed, artificial light at night, and building density were significantly associated with increased odds of DS, while higher relative humidity, and higher greenness indicators (Normalized Difference Vegetation Index [NDVI], forest-shrub-grass coverage, and cropland coverage) were inversely associated. Among all exposures, building density showed the greatest contribution in the model ranking. Considering the joint impacts, unfavorable environmental profiles across all three domains were significantly associated with higher odds of DS, particularly among children with abnormal weight or higher metabolic risk. Importantly, population attributable fraction analysis indicates that improving environmental profiles could theoretically reduce 14.22–29.41% of DS cases, with geographical factors showing the largest theoretical contribution. These findings underscore the importance of incorporating environmental considerations into mental health strategies and support urban design and air quality improvements as tailored interventions for vulnerable populations to reduce the burden of DS.
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