Association Between Ambient Air Pollution and Daily Hospital Admissions for Depression in 75 Chinese Cities
Association Between Ambient Air Pollution and Daily Hospital Admissions for Depression in 75 Chinese Cities
复制标题
中国75个城市环境空气污染与抑郁症日住院率的关系
DOI：
10.1176/appi.ajp.2020.19070748
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发表时间：
2020-08-01
影响因子：
17.7
通讯作者：
Wu, Shaowei
中科院分区：
文献类型：
--
作者：
Gu, Xuelin;Guo, Tongjun;Wu, Shaowei
目的：虽然在一些流行病学研究中已经研究了环境空气污染与抑郁症风险之间的关系，但仍然缺乏抑郁症住院的证据，这表明抑郁症是一种更严重的抑郁发作形式。方法：利用中国城市居民国家医疗保险数据库中的数据，采用两阶段时间序列分析方法，研究短期暴露于主要环境空气污染物--细颗粒物(PM2.5)、可吸入颗粒物(PM10)、二氧化氮(NO2)、二氧化硫(SO2)、臭氧(O-3)、结果：作者确定了75个城市中111,620名抑郁症患者的住院人数。在单污染物模型中，除O-3外，所有包括空气污染物的影响估计在7天内的几个滞后处都是显著的。例如，在LAG01，PM2.5、PM10和NO2浓度每增加10微克/立方米，每天因抑郁症住院的人数分别增加0.52%(95%CI=0.03，1.01)、0.41%(95%CI=0.05，0.78)和1.78%(95%CI=0.73，2.83)。分组、敏感度和双污染物模型分析突出了NO2影响估计的稳健性。结论：本研究结果表明，短期暴露于环境空气污染与中国城市普通人群中每天因抑郁症住院的风险增加有关，这可能对改善公众的心理健康具有重要意义。
Objective: Although the association between ambient air pollution and risk of depression has been investigated in several epidemiological studies, the evidence is still lacking for hospital admissions for depression, which indicates a more severe form of depressive episode. The authors used national morbidity data to investigate the association between short-term exposure to ambient air pollution and daily hospital admissions for depression.Methods: Using data from the Chinese national medical insurance databases for urban populations, the authors conducted a two-stage time-series analysis to investigate the associations of short-term exposure to major ambient air pollutants-fine particles (PM2.5), inhalable particles (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O-3), and carbon monoxide (CO)-and daily hospital admission risk for depression in 75 Chinese cities during the period 2013-2017.Results: The authors identified 111,620 hospital admissions for depression in 75 cities. In the single-pollutant models, the effect estimates of all included air pollutants, with the exception of O-3, were significant at several lags within 7 days. For example, 10 mu g/m(3) increases in PM2.5, PM10, and NO2 at lag01 were associated with increases of 0.52% (95% CI= 0.03, 1.01), 0.41% (95% CI=0.05, 0.78), and 1.78% (95% CI=0.73, 2.83), respectively, in daily hospital admissions for depression. Subgroup, sensitivity, and two-pollutant model analyses highlighted the robustness of the effect estimates for NO2.Conclusions: The study results suggest that short-term exposure to ambient air pollution is associated with an increased risk of daily hospital admission for depression in the general urban population in China, which may have important implicationsfor improving mental wellnessamong the public.