Literature DB >> 17415980

[Study on physical activities status of citizens from different subpopulation in Pudong, Shanghai].

Shu-mei Wang1, Ming-qiu Fan, Jia-kui Zhao.   

Abstract

OBJECTIVE: To understand the levels of total physical activities among different populations, and the distribution of four domains.
METHODS: With proportional stratified sampling and cluster sampling method, 3555 subjects were selected including officials, company staff, high school students, community population and floating population.
RESULTS: The proportions for inactive, insufficiently active, minimally active and health enhancing physical active (HEPA active) as a whole were 20.5%, 10.1%, 26.5% and 42.9% respectively. Community population had the highest level of HEPA active which was 65.6%. Floating population had the highest level of inactivity of 33.1%. Apart from the male floating population, the active level in transportation, physical activity among the investigated were the highest compared to other three active domains. Leisure-time physical activity was in the opposite.
CONCLUSION: The type of physical activities among general citizens were mainly of physical activity related to transportation but less leisure-time physical activity was seen. Floating population had the highest level of both HEPA activity and inactivity.

Entities:  

Mesh:

Year:  2006        PMID: 17415980

Source DB:  PubMed          Journal:  Zhonghua Liu Xing Bing Xue Za Zhi        ISSN: 0254-6450


  5 in total

1.  Associations between perceived and observational physical environmental factors and the use of walking paths: a cross-sectional study.

Authors:  Ying-Nan Jia; Hua Fu
Journal:  BMC Public Health       Date:  2014-06-20       Impact factor: 3.295

2.  Difference of the associations between self-rated health and demographic characteristics, lifestyle, and psychosocial work environment between two types of Chinese worksite.

Authors:  Yingnan Jia; Junling Gao; Junming Dai; Pinpin Zheng; Xiaoyu Wu; Guangyao Li; Hua Fu
Journal:  BMC Public Health       Date:  2014-08-15       Impact factor: 3.295

3.  Associations between health culture, health behaviors, and health-related outcomes: A cross-sectional study.

Authors:  Yingnan Jia; Junling Gao; Junming Dai; Pinpin Zheng; Hua Fu
Journal:  PLoS One       Date:  2017-07-26       Impact factor: 3.240

4.  The Association between walking and perceived environment in Chinese community residents: a cross-sectional study.

Authors:  Yingnan Jia; Tricia Usagawa; Hua Fu
Journal:  PLoS One       Date:  2014-02-27       Impact factor: 3.240

5.  Prevalence of overweight and obesity and weight loss practice among Beijing adults, 2011.

Authors:  Li Cai; Xiaoyan Han; Zhi Qi; Zhe Li; Yumei Zhang; Peiyu Wang; Aiping Liu
Journal:  PLoS One       Date:  2014-09-16       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.