Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/213879
Authors: 
Wu, Ziting
Chen, Xi
Li, Guoxing
Tian, Lin
Wang, Zhan
Xiong, Xiuqin
Yang, Chuan
Zhou, Zijun
Pan, Xiaochuan
Year of Publication: 
2020
Series/Report no.: 
GLO Discussion Paper No. 475
Abstract: 
This study aims to fill the gap in our understanding about exposure to particulate matters with diameter less than 2.5 μm (PM2.5) and attributable risks and economic costs of mental disorders (MDs). We identify the relationship between PM2.5 and risk of hospital admissions (HAs) for MDs in Beijing and measure the attributable risk and economic cost. We apply a generalized additive model (GAM) with controls for time trend, meteorological conditions, holidays and day of the week. Stratified analyses are performed by age, gender and season. We further estimate health and economic burden of HAs for MDs attributable to PM2.5. A total of 17,252 HAs for MDs are collected. We show that PM2.5 accounts for substantial morbidity and economic burden of MDs. Specifically, a 10 μg/m3 daily increase in PM2.5 is associated with a 3.55% increase in the risk of HAs for MDs, and the effect is more pronounced for older males in colder weather. According to the WHO's air quality guidelines, 15.12 percent of HAs and 16.19 percent of related medical expenses for MDs are respectively attributable to PM2.5.
Subjects: 
Attributable risk
Economic cost
Hospital admissions
Mental disorders
PM2.5
JEL: 
Q51
Q53
I24
I31
G11
G41
J24
Document Type: 
Working Paper

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