A Dataset on Population Activity Patterns in Typical Regions of North China

Q2 Medicine Chinese Medical Sciences Journal Pub Date : 2024-04-01 DOI:10.24920/004324
Yi-Sen Yang , Sheng-Yu Liu , Ya-Yuan Mei , Quan Zhou , Mei-Duo Zhao , Qun Xu , Si-Zhu Wu
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Abstract

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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华北典型地区人口活动模式数据集。
这篇文章介绍了 "典型区域活动模式"(TRAP)数据集,该数据集基于《大气污染防治重点攻关计划》。为了探讨空气污染与身体活动之间的相互作用,我们在空气污染物浓度高于周边地区的典型区域(济南和保定)收集了 9221 名不同职业和生活方式的居民连续三天的活动模式。TRAP 数据集包括两方面的信息:人口统计指标(个人信息、职业、个人习惯和生活状况)和身体活动模式数据(活动地点和强度);此外,还包括身体活动模式的暴露测量值,数据用户可根据具体目的将其与各种终点进行匹配。该数据集为探索中国北方居民的活动模式属性提供了证据,也为跨学科研究人员制定健康教育和健康促进的策略和措施提供了依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chinese Medical Sciences Journal
Chinese Medical Sciences Journal Medicine-Medicine (all)
CiteScore
2.40
自引率
0.00%
发文量
1275
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