The Impact of Air Pollution on Attributable Risks and Economic Costs of Hospitalization for Mental Disorders

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IZA Discussion Papers ; No. 12986

Classification and Topics

• Classification: Wirtschaft ; Valuation of Environmental Effects ; Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling ; Education and Inequality ; General Welfare; Well-Being ; Portfolio Choice; Investment Decisions ; Behavioral Finance: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets‡ ; Human Capital; Skills; Occupational Choice; Labor Productivity
• Subject: attributable risk ; economic cost ; hospital admissions ; mental disorders ; PM2.5

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Wu, Ziting ; Chen, Xi ; Li, Guoxing ; Tian, Lin ; Wang, Zhan ; Xiong, Xiuqin ; Yang, Chuan ; Zhou, Zijun ; Pan, Xiaochuan
• Event: Veröffentlichung
• (who): Institute of Labor Economics (IZA)
• (where): Bonn
• (when): 2020

Further information

• Handle: http://hdl.handle.net/10419/215382
• Last update: 10.03.2025, 11:42 AM CET