1. 1Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences & School of Basic Medicine Peking Union Medical College, Beijing 100005, China
2. 2Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
3. 3Department of Medical Data Sharing, Institute of Medical Information & Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100020, China
Yi-Sen Yang, Sheng-Yu Liu, Ya-Yuan Mei, et al. A Dataset on Population Activity Patterns in Typical Regions of North China[J]. Chinese medical sciences journal, 2024, 39(1): 69-73.
Yi-Sen Yang, Sheng-Yu Liu, Ya-Yuan Mei, et al. A Dataset on Population Activity Patterns in Typical Regions of North China[J]. Chinese medical sciences journal, 2024, 39(1): 69-73. DOI: 10.24920/004324.
This data article describes the “Typical Regional Activity Patterns” (TRAP) dataset
which is based on the Tackling Key Problems in Air Pollution Control Program. In order to explore the interaction between air pollution and physical activity
we collected activity patterns of 9
221 residents with different occupations and lifestyles for three consecutive days in typical regions (Jinan and Baoding) where air pollutant concentrations were higher than those in neighboring areas. The TRAP dataset consists of two aspects of information: demographic indicators (personal information
occupation
personal habits
and living situation) and physical activity pattern data (activity location and intensity); additionally
the exposure measures of physical activity patterns are included
which data users can match to various endpoints for their specific purpose. This dataset provides evidence for exploring the attributes of activity patterns of residents in northern China and for interdisciplinary researchers to develop strategies and measures for health education and health promotion.
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references
Xu Q , Park Y , Huang X , et al. Physical activities and future risk of Parkinson disease . Neurology 2010 ; 75 ( 4 ): 341 - 8 . doi: 10.1212/WNL.0b013e3181ea1597 https://dx.doi.org/10.1212/WNL.0b013e3181ea1597 .