Prevalence and risk factors of physical inactivity among middle-aged and older Chinese in Shenzhen: a cross-sectional study

被引:40
作者
Zhou, Yanfeng [1 ,2 ]
Wu, Jiang [3 ]
Zhang, Shenchao [3 ]
Yan, Shijiao [1 ]
He, Liping [2 ]
Mkandawire, Naomie [1 ]
Song, Xinyue [1 ]
Gan, Yong [1 ]
Li, Wenzhen [1 ]
Yang, Tingting [1 ]
Li, Jing [1 ]
Zeng, Xiaozhou [3 ]
Wang, Zhihong [4 ]
Lu, Zuxun [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Publ Hlth, Dept Social Med & Hlth Management, Tongji Med Coll, Wuhan, Hubei, Peoples R China
[2] Xiangnan Univ, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Chenzhou, Peoples R China
[3] Baoan Cent Hosp Shenzhen, Shenzhen, Peoples R China
[4] Shenzhen Univ, Shenzhen Peoples Hosp 2, Dept Neurosurg, Shenzhen, Peoples R China
基金
中国国家自然科学基金;
关键词
LEISURE-TIME; ACTIVITY PATTERNS; NATIONAL-HEALTH; ADULTS; MEN; PARTICIPATION; POPULATION;
D O I
10.1136/bmjopen-2017-019775
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective Investigations on physical inactivity are common around the world; however, little is known about the status of physical inactivity in mainland China. The aim of this study was to examine the prevalence and risk factors associated with physical inactivity in Shenzhen in Southern China. Design A community-based, cross-sectional study. Setting A multistage-stratified, random cluster survey was conducted in Xixiang Street, Bao'an District of Shenzhen in Southeast China. Participants 3920 adults aged 40 years or more were recruited to the study and completed the International Physical Activity Questionnaire Short Form between 1 March 2015 and 30 July 2016. Main outcome measures Physical inactivity was defined as engaging in physical activity levels insufficient to reach the current guidelines. Bivariate and multivariate analyses were undertaken to assess the prevalence and risk factors associated with physical inactivity. Results The prevalence of physical inactivity was 63.1% for all participants, 63.9% for women and 61.9% for men, respectively. Participants who were older (OR=1.31, 95% CI 1.11 to 1.54), who were female (OR=1.22, 95% CI 1.04 to 1.43), who had higher education experience (OR=1.38, 95% CI 1.19 to 1.61), who are under economic pressure (OR=2.17, 95% CI 1.48 to 3.17), who ever smoked a cigarette (OR=1.44, 95% CI 1.13 to 1.82) and drank alcohol (OR=1.42, 95% CI 1.14 to 1.77), and participants in the lowest body mass index category (OR=1.40, 95% CI 1.03 to 1.89), were more likely to report physical inactivity. Conclusions These findings indicate that physical inactivity is prevalent in Southern China. Interventions and programmes aimed at increasing physical activity among middle-aged and older Chinese adults may also be tailored to participants under economic pressure and those with unhealthy behaviours such as smoking and drinking.
引用
收藏
页数:7
相关论文
共 33 条
[1]   Prevalence and time trends in diabetes and physical inactivity among adult West African populations: The epidemic has arrived [J].
Abubakari, A. R. ;
Lauder, W. ;
Jones, M. C. ;
Kirk, A. ;
Agyemang, C. ;
Bhopal, R. S. .
PUBLIC HEALTH, 2009, 123 (09) :602-614
[2]  
[Anonymous], 2009, GLOBAL HEALTH RISKS: MORTALITY AND BURDEN OF DISEASE ATTRIBUTABLE TO SELECTED MAJOR RISKS, P1
[3]  
[Anonymous], 2013, 66 WORLD HLTH ASS FO
[4]   Cross-national comparisons of socioeconomic differences in the prevalence of leisure-time and occupational physical activity, and active commuting in six Asia-Pacific countries [J].
Bauman, Adrian ;
Ma, Guansheng ;
Cuevas, Frances ;
Omar, Zainal ;
Waqanivalu, Temo ;
Phongsavan, Philayrath ;
Keke, Kieren ;
Bhushan, Anjana .
JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2011, 65 (01) :35-43
[5]   Occupation, hours worked, and leisure-time physical activity [J].
Burton, NW ;
Turrell, G .
PREVENTIVE MEDICINE, 2000, 31 (06) :673-681
[6]   Race/ethnicity, social class and their relation to physical inactivity during leisure time: Results from the Third National Health and Nutrition Examination Survey, 1988-1994 [J].
Crespo, CJ ;
Smit, E ;
Andersen, RE ;
Carter-Pokras, O ;
Ainsworth, BE .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2000, 18 (01) :46-53
[7]   Reliability and validity of the IPAQ-Chinese: The Guangzhou Biobank Cohort Study [J].
Deng, Han Bing ;
Macfarlane, Duncan J. ;
Thomas, G. Neil ;
Lao, Xiang Qian ;
Jiang, Chao Qiang ;
Cheng, Kar Keung ;
Lam, Tai Hing .
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2008, 40 (02) :303-307
[8]   Epidemiology of physical inactivity in Poland: Prevalence and determinants in a former communist country in socioeconomic transition [J].
Drygas, W. ;
Kwasniewska, M. ;
Kaleta, D. ;
Pikala, M. ;
Bielecki, W. ;
Gluszek, J. ;
Zdrojewski, T. ;
Pajak, A. ;
Kozakiewicz, K. ;
Broda, G. .
PUBLIC HEALTH, 2009, 123 (09) :592-597
[9]   Resources for physical activity participation: Does availability and accessibility differ by neighborhood socioeconomic status? [J].
Estabrooks, PA ;
Lee, RE ;
Gyurcsik, NC .
ANNALS OF BEHAVIORAL MEDICINE, 2003, 25 (02) :100-104
[10]   Epidemiology of Leisure, Transportation, Occupational, and Household Physical Activity: Prevalence and Associated Factors [J].
Florindo, Alex Antonio ;
Guimaraes, Vanessa Valente ;
Galvao Cesar, Chester Luiz ;
de Azevedo Barros, Marilisa Berti ;
Goi Porto Alves, Maria Cecilia ;
Goldbaum, Moises .
JOURNAL OF PHYSICAL ACTIVITY & HEALTH, 2009, 6 (05) :625-632