Dynamic air pollution exposure, context-based physical activity and individual health: Evidence from Beijing

Authors: Jie Yang*, Peking University, Yinhua Tao, Peking University, Kangjae Lee, University of Illinois at Urbana-Champaign, Yanwei Chai, Peking University, Meipo Kwan, University of Illinois at Urbana-Champaign
Topics: Behavioral Geography, Medical and Health Geography, Asia
Keywords: air pollution exposure, physical activity, health, geographic context, Beijing
Session Type: Paper
Day: 4/5/2019
Start / End Time: 5:00 PM / 6:40 PM
Room: Tyler, Marriott, Mezzanine Level
Presentation File: No File Uploaded

The relation between physical activity and individual health is popularly discussed, but there is a paucity of research on whether hazards of outdoor PA in a polluted environment counteract its health benefits. In terms of measurement, physical activity is flexible and air pollution exposure is dynamic in space and time. Previous researches adopting self-report level of outdoor physical activity and residence-based interpolation results of air pollution concentration might come to biased results. Therefore, it’s urgently needed to examine possible forms of physical activity and its health effects on the day of different pollution level under more comprehensive and accurate research framework. The topics of this study are as follows: 1). The possible forms of physical activity under different air pollution concentration level. 2). Health effects of the above forms of physical activity. Unlike previous studies, moderate-to-vigorous outdoor physical activity but exposed to serious air pollution might exert a negative impact on physical and mental health. The study takes Meiheyuan community in Beijing as the case study area. Innovative real-time measure is developed as well. Specifically, GPS data with activity diary record makes it possible to automatically classify travel modes outdoors by the developed physical activity classification algorithm; Carry-on PM2.5 monitoring data could effectively display spatiotemporal variation of air pollution exposure. Through developing structural equation models, the study will provide empirical support to clarify the relationship among dynamic air pollution exposure, context-based physical activity, and individual health status.

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