空气污染信息对个人运动行为的影响:使用可穿戴和移动设备数据的实证研究
Yang Yang1, Khim-Yong Goh2, Hock Hai Teo2
1School of Business and Management, Royal Holloway, University of London, Egham, United Kingdom.
JMIR mHealth and uHealth
|September 10, 2024
概括
在中度至严重的空气污染期间,个人减少了7.5%的跑步. 像社交媒体这样的替代信息来源扩大了这种避开炼,提高了公众的意识,超出了官方警报.
科学领域:
- 环境健康 环境健康
- 公共卫生 公共卫生
- 行为科学 行为科学
背景情况:
- 身体活动和空气污染暴露对健康产生了相反的影响.
- 我们对个人如何根据污染信息实时调整运动的理解有限.
研究的目的:
- 为了研究个人如何修改运动行为,以应对各种空气污染信息来源.
- 量化不同空气质量级别的运动规避情况.
主要方法:
- 在两年内利用了来自中国83个城市的可穿戴/移动设备的运动数据.
- 综合空气质量 (AQI,PM2.5) 和天气数据.
- 采用线性面板固定效应和内源性治疗效应模型来分析运动厌恶行为.
主要成果:
- 在中度至严重的空气污染期间,个人跑步距离减少了7.5%,光污染没有显著变化.
- 其他信息来源 (社交媒体,社交联系) 放大了因主流污染数据引发的运动厌恶行为.
结论:
- 替代信息来源在驱动运动避免方面发挥着补充作用.
- 信息道的多样化对于提高公众对体力活动期间空气污染风险的认识至关重要.
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