Khosrorad Razieh, Aval Hamideh Ebrahimi, Najafi Moslem Lari, Rezai Hossein, Dovlatabadi Afshin, Estiri Elahe Hassanneajd, Hesari Mohammad Hosseinzadeh, Behmanesh Maryam, Miri Mohammad
Department of Health Education and Promotion, School of Public Health, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Pharmaceutical Sciences and Cosmetic Products Research Center, Kerman University of Medical Sciences, Kerman, Iran.
Environ Res. 2022 Dec;215(Pt 1):114266. doi: 10.1016/j.envres.2022.114266. Epub 2022 Sep 6.
Air pollution exposure has been related with mental disorders, especially depression; however, the available evidence on these associations in Low and Middle-Income Countries (LMICs) is scarce. Therefore, we aimed to assess the relationship between particulate matter (PM) exposure and indicators of traffic with depressive symptoms in women of Sabzevar, Iran. This cross-sectional study was based on 741 women aged 15-45 years (adults) in 2019. The annual average of PM, PM and PM at home was estimated using land use regression (LUR) models. Street map of Sabzevar was used to calculate the indicators of traffic, i.e., the proximity to major roads and total street length buffers with 100, 300 and 500 m radii around the participants' homes. We used the Center for Epidemiological Studies- Depression (CESD-20) Scale in the general population to measure depression scores. Quasi-Poisson models and logistic regression were used to examine the association and odds ratios of exposure to air pollution and depression scores adjusted for relevant covariates. Exposure to PM, PM and PM and total street length in 100 m buffer were significantly associated with higher depression scores. In fully adjusted model, an interquartile range (IQR) increase in PM, PM and PM concentration as well as total street length in 100 m buffer was associated with 1.25 (95% CI:1.03, 1.52, P-value = 0.02), 1.16 (95% CI: 1.06, 1.26, P-value< 0.01), 1.16 (95% CI: 1.03, 1.29, P-Value = 0.01) and 1.15 (95% CI: 1.06, 1.25, P-value< 0.01) odds of clinical depression, respectively. For street length in 300 and 500 m buffers and proximity to major roads, no statistically significant increased risk of clinical depression were observed. Overall, our findings recommended that air pollution exposure has increased the risk of clinical depression in women.
空气污染暴露与精神障碍有关，尤其是抑郁症；然而，关于低收入和中等收入国家（LMICs）这些关联的现有证据很少。因此，我们旨在评估伊朗萨卜泽瓦尔女性接触颗粒物（PM）和交通指标与抑郁症状之间的关系。这项横断面研究基于2019年741名年龄在15 - 45岁的女性（成年人）。使用土地利用回归（LUR）模型估计家庭中PM、PM 和PM的年平均值。利用萨卜泽瓦尔的街道地图计算交通指标，即参与者家周围半径为100、300和500米的主要道路距离和总街道长度缓冲区。我们在普通人群中使用流行病学研究中心抑郁量表（CESD - 20）来测量抑郁得分。使用准泊松模型和逻辑回归来检验空气污染暴露与经相关协变量调整后的抑郁得分之间的关联和比值比。接触PM、PM 和PM以及100米缓冲区的总街道长度与较高的抑郁得分显著相关。在完全调整模型中，PM、PM 和PM浓度以及100米缓冲区总街道长度的四分位数间距（IQR）增加分别与临床抑郁症的比值比为1.25（95%CI：1.03，1.52，P值 = 0.02）、1.16（95%CI：1.06，1.26，P值 < 0.01）、1.16（95%CI：1.03，1.29，P值 = 0.01）和1.15（95%CI：1.06，1.25，P值 < 0.01）相关。对于300米和500米缓冲区的街道长度以及与主要道路的距离，未观察到临床抑郁症风险有统计学显著增加。总体而言，我们的研究结果表明空气污染暴露增加了女性患临床抑郁症的风险。
