中国北方典型地区人群活动模式特色数据集

doi:10.24920/004324

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.

Specifications Table of the dataset

Title of the dataset	A Dataset on Population Activity Patterns in Typical Regions of North China
Authors of the dataset	Qun Xu, Si-Zhu Wu
Data files	Tables
Data format	*.xlsx
Description of data collection	Based on the population epidemiology sites, we collected information on five aspects: demographic information, career, personal habits, living situation, and physical activity behavior.
Data volume	5.52 MB
Geographic scope	Jinan of Shandong Province and Baoding of Hebei Province, China
Time range of the dataset	2019/01/01—2019/12/31
Data accessibility	Population Health Data Archive (PHDA) with access link doi: 10.12213/11.Z058F.202201.108.V2.0 and direct URL: https://www.ncmi.cn/phda/dataDetails.do?id=CSTR:17970.11.Z058F.202201.108.V2.0. Attributed under the CC BY-NC 4.0 license.
Related article	No related articles yet.

Key words: activity patterns, typical regions, behavior monitoring, air pollution, China

Funding:

Yi-Sen Yang, Sheng-Yu Liu, Ya-Yuan Mei, Quan Zhou, Mei-Duo Zhao, Qun Xu, Si-Zhu Wu. A Dataset on Population Activity Patterns in Typical Regions of North China[J].Chinese Medical Sciences Journal, 2024, 39(1): 69-73.

Figures/Tables 4

Figure 1.

Table 1.

Figure 2.

Table 2.

Items	The meaning of the variables
Demographic information
Age	Range: 18—85 years
Gender	Male/Female
Height	Num, cm
Weight	Num, kg
Education	The highest educational level of the surveyed resident
Career information
Working_state	On-the-job/Retired
Occupation	Occupation
Working_days	Working days in a week
Rest_days	Days off in a week
Commuting_time	The time to go to work or go to school
Personal habits
Smoking_number	Number of cigarettes smoked per day
Conditioner_time	The running time of air conditioner
Kaichuang_time	Windows’ opening time
Air cleaner_time	The running time of air cleaner
Living situation
Residence_type	Building/Bungalow
Residence_floor	Residential floor
Physical activity behavior
Location	The physical activity sites of inhabitants
Locationhb	Merged location variables (indoor, outdoor)
Act	Physical activity intensity (light, moderate, vigorous)

Time Period	Activity venue	Distance from home (km)	Transport	Activity intensity
23:00—5:59	15	0	-	1
6:00—6:59	15	0	-	1
7:00—7:59	1	2	B	2
8:00—8:59	18	2	-	2
9:00—9:59	22	4	A	1
10:00—10:59	22	4	A	1
11:00—11:59	15	0	-	1

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1.	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. pmid: 20660864
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