Literature DB >> 22883724

[Leisure-time physical activity and sedentary behaviors among Chinese adults in 2010].

Xiao-rong Chen1, Yong Jiang, Li-min Wang, Yi-chong Li, Mei Zhang, Nan Hu, Wen-hua Zhao.   

Abstract

OBJECTIVE: To understand the prevalence of participation in leisure-time physical activity, and sedentary behaviors among Chinese adults.
METHODS: Data from Chinese Chronic Disease Surveillance (2010) was used. Among adults aged 18 years old and over, the information on frequency and duration of occupational activity, house chores, commuting and leisure time activity was collected by an interview with Global Physical Activity Questionnaire (GPAQ). The time spent on watching TV, reading, using computers or playing games after work was also surveyed. This present study only analyzed the percentage of participating in leisure time moderate or vigorous intensity physical activity at least 10 minutes three days per week and the time spent on TV, reading, using computer and playing games during after hours among Chinese adults of 98 649 subjects.
RESULTS: 11.9% (95%CI: 10.5% - 13.3%) of all adults took part in leisure time moderate or vigorous intensity physical activity at least 10 minutes for three days per week, with-group the percentage highest among age-group 18 - 24 (15.6%, 95%CI: 10.5% - 13.3%) and lowest among age 25 - 34 (9.9%, 95%CI: 8.0% - 11.7%) and 75 years old and over (9.9%, 95%CI: 8.2% - 11.6%) (P < 0.01). The age related change showed a double-peak curve. The percentage was higher in male (13.1%, 95%CI: 11.6% - 14.6%) than in female (10.6%, 95%CI: 9.3% - 12.0%) (P < 0.01). Among the populations engaged in diverse occupations, the lowest percentage was detected among those in farming, forestry, husbandry and fishing (4.2%, 95%CI: 3.4% - 4.9%). Higher percentage was found among the residents lived in urban areas (19.9%, 95%CI: 17.4% - 22.5%) than in rural areas (8.2%, 95%CI: 6.7% - 9.8%) (P < 0.01), and higher in the east area (14.8%, 95%CI: 11.9% - 17.6%) compared to that in central (9.7%, 95%CI: 8.1% - 11.3%) or in west areas (10.3%, 95%CI: 8.4% - 12.3%) in China (P < 0.01). Furthermore, (2.7 ± 2.0) hours per day was spent in sedentary behaviors, such as watching TV, reading, using computers or playing games during after hours. Those aged 18 - 24 years-old spent most time (3.8 ± 2.6) hours per day in sedentary behaviors and the time reduced with age (P < 0.01). More time on Sedentary behaviors were taken by male (2.9 ± 2.1 hours per day) than by female ((2.6 ± 1.9) hours per day) (P < 0.01), with more hours spent in urban ((3.3 ± 2.2) hours per day) than that in rural ((2.5 ± 1.9) hours per day) (P < 0.01). No difference was detected among the residents lived in east ((2.9 ± 2.1) hours per day), central ((2.7 ± 2.0) hours per day) and west area ((2.6 ± 2.0) hours per day) (P > 0.05).
CONCLUSION: The percentage of taking part in moderate and vigorous activity during leisure time was generally low. Average time spent in after hours sedentary behaviors was long.

Entities:  

Mesh:

Year:  2012        PMID: 22883724

Source DB:  PubMed          Journal:  Zhonghua Yu Fang Yi Xue Za Zhi        ISSN: 0253-9624


  11 in total

Review 1.  Current lifestyle factors that increase risk of T2DM in China.

Authors:  N Zhang; S M Du; G S Ma
Journal:  Eur J Clin Nutr       Date:  2017-04-19       Impact factor: 4.016

2.  Outline of the report on cardiovascular diseases in China, 2014.

Authors:  Chen Weiwei; Gao Runlin; Liu Lisheng; Zhu Manlu; Wang Wen; Wang Yongjun; Wu Zhaosu; Li Huijun; Zheng Zhe; Jiang Lixin; Hu Shengshou
Journal:  Eur Heart J Suppl       Date:  2016-05-24       Impact factor: 1.803

3.  Differences in health-related behaviors between middle school, high school, and college students in Jiangsu province, China.

Authors:  Weina Liu; Mike Z He; Yunle Wang; Yan Wang; Yonglin Zhou; Ming Wu; Zhen Tang; Yue Dai; Baojun Yuan; Shiqi Zhen; Lawrence J Cheskin
Journal:  Asia Pac J Clin Nutr       Date:  2017       Impact factor: 1.662

4.  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

5.  Association between social and built environments and leisure-time physical activity among Chinese older adults--a multilevel analysis.

Authors:  Junling Gao; Hua Fu; Jiang Li; Yingnan Jia
Journal:  BMC Public Health       Date:  2015-12-29       Impact factor: 3.295

6.  Prolonged Screen Viewing Times and Sociodemographic Factors among Pregnant Women: A Cross-Sectional Survey in China.

Authors:  Xianglong Xu; Dengyuan Liu; Yunshuang Rao; Huan Zeng; Fan Zhang; Lu Wang; Yaojie Xie; Manoj Sharma; Yong Zhao
Journal:  Int J Environ Res Public Health       Date:  2018-02-27       Impact factor: 3.390

7.  Association between physical activity energy expenditure and cardiometabolic risk factor clustering among Chinese adults in 2015.

Authors:  Xiaorong Chen; Mei Zhang; Limin Wang; Zhengjing Huang; Wenrong Zhang; Jing Wu
Journal:  Sports Med Health Sci       Date:  2022-04-12

8.  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

9.  The Physical Activity Patterns among Rural Chinese Adults: Data from China National Nutrition and Health Survey in 2010⁻2012.

Authors:  Caicui Ding; Chao Song; Fan Yuan; Yan Zhang; Ganyu Feng; Zheng Chen; Ailing Liu
Journal:  Int J Environ Res Public Health       Date:  2018-05-09       Impact factor: 3.390

10.  Age-period-cohort analysis of stroke mortality attributable to high systolic blood pressure in China and Japan.

Authors:  Jinhong Cao; Ehab S Eshak; Keyang Liu; Ahmed Arafa; Haytham A Sheerah; Chuanhua Yu
Journal:  Sci Rep       Date:  2021-09-27       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.