Department of Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Department of Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China.
Sci Total Environ. 2020 Jul 1;724:138207. doi: 10.1016/j.scitotenv.2020.138207. Epub 2020 Mar 25.
Depression is one of the leading causes of disability, but the etiology remains unclear. Recently, it has been suggested that air pollution is a potential risk factor for depression. However, the results remained inconsistent. So we conducted this study to assess the association between short-term exposure to ambient air pollution and hospital visits for depression in China. Daily hospital visits for depression from January 18, 2013 to June 10, 2018 were extracted from a regional health information system (HIS) covered 1.34 million population in Ningbo, China. We collected daily air pollutant concentrations and meteorological data from environmental air quality monitoring sites and meteorological stations in the study area. Quasi-Poisson regression models with generalized additive models (GAM) were applied to explore the associations between air pollution and hospital visits for depression. Stratified analyses were also conducted by gender, age, and season to examine the effects modification. The results disclosed that air pollutants including PM, PM, SO, CO, and NO were positively correlated with hospital visits for depression. The strongest effects all occurred on lag0 (the same) day, and the corresponding excess risks (ERs) were 2.59 (95%CI: 0.72, 4.49) for PM, 3.08 (95%CI: 1.05, 5.16) for PM, 3.22 (95%CI: 1.16, 5.32) for SO, 4.38 (95%CI: 1.83, 6.99) for CO, and 4.94 (95%CI: 2.03, 7.92) for NO per IQR increase, respectively. The associations were found to be stronger in the elderly (≥65 years) and cold season. Furthermore, the effects of CO and NO remained significant in most two-pollutant models, suggesting that traffic-related air pollutants might be more important triggers of depression.
抑郁症是导致残疾的主要原因之一，但病因仍不清楚。最近，有人认为空气污染是导致抑郁症的一个潜在危险因素。然而，结果仍不一致。因此，我们进行了这项研究，以评估中国短期暴露于环境空气污染与抑郁症住院治疗之间的关系。从 2013 年 1 月 18 日至 2018 年 6 月 10 日，从中国宁波地区卫生信息系统（HIS）中提取了因抑郁症而住院的每日就诊人数。我们从研究区域的环境空气质量监测站和气象站收集了每日空气污染物浓度和气象数据。应用广义加性模型（GAM）的准泊松回归模型来探讨空气污染与抑郁症住院治疗之间的关系。还进行了分层分析，以检验性别、年龄和季节对效应修饰的影响。结果表明，包括 PM、PM、SO、CO 和 NO 在内的空气污染物与抑郁症住院治疗呈正相关。最强的影响均发生在滞后 0 天（相同），相应的超额风险（ER）分别为 PM 为 2.59（95%CI：0.72，4.49）、PM 为 3.08（95%CI：1.05，5.16）、SO 为 3.22（95%CI：1.16，5.32）、CO 为 4.38（95%CI：1.83，6.99）、NO 为 4.94（95%CI：2.03，7.92），每增加一个 IQR。在老年人（≥65 岁）和寒冷季节，这些关联更为明显。此外，在大多数双污染物模型中，CO 和 NO 的影响仍然显著，这表明交通相关的空气污染物可能是抑郁症的更重要触发因素。
