He Guangye, Chen Yunsong, Wang Senhu, Dong Yiqun, Ju Guodong, Chen Buwei
School of Social and Behavioral Sciences, Nanjing University, Nanjing, China.
The Johns Hopkins University-Nanjing University Center for Chinese and American Studies, Nanjing, China.
Dose Response. 2020 Jul 17;18(3):1559325820942699. doi: 10.1177/1559325820942699. eCollection 2020 Jul-Sep.
While China has been experiencing unprecedented economic growth, depression is becoming one of the most striking social and mental health problems in recent years. Such a paradox to progress may partially be due to the notoriously poor air quality of the country. To verify this argument, we constructed an index of the prevalence of depression (IPD) using internet search query volumes in Baidu to proxy the potential depression and examined how IPD is associated with PM, the major air pollutant in China. Our results from 2-way fixed effects models reveal that a 100 μg·m increase in previous week's PM in a city is significantly associated with 0.279 increase in its IPD, comparable to 7.34 hours decrease in weekly daylight, and such relationship is particularly pronounced in the spring and summer and in East and South areas. Our findings of large-scale pattern suggest that PM at current levels in China poses serious mental health risks.
在中国经历前所未有的经济增长之际,抑郁症正成为近年来最突出的社会和心理健康问题之一。这种发展中的矛盾现象可能部分归因于该国糟糕透顶的空气质量。为了验证这一观点,我们利用百度的互联网搜索查询量构建了一个抑郁症患病率指数(IPD),以代表潜在的抑郁症情况,并研究了IPD与中国主要空气污染物PM之间的关联。我们从双向固定效应模型得出的结果显示,一个城市上周的PM每增加100μg·m,其IPD就显著增加0.279,这相当于每周日照时间减少7.34小时,而且这种关系在春季和夏季以及东部和南部地区尤为明显。我们关于大规模模式的研究结果表明,中国目前水平的PM对心理健康构成严重风险。