Prevalence and determinations of physical inactivity among public hospital employees in Shanghai, China: a cross-sectional study

Xinjian Li, Minna Cheng, Hao Zhang, Ting Ke, Yisheng Chen

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Front. Med. ›› 2015, Vol. 9 ›› Issue (1) : 100-107. DOI: 10.1007/s11684-014-0372-9
RESEARCH ARTICLE
RESEARCH ARTICLE

Prevalence and determinations of physical inactivity among public hospital employees in Shanghai, China: a cross-sectional study

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Abstract

This study aims to explore the prevalence and determinations of physical inactivity among hospital employees in Shanghai, China. A cross-sectional study of 4612 employees aged 19 to 68 years was conducted through stratified cluster sampling from different classes of Shanghai hospitals in 2011. The total physical activity was evaluated using the metabolic equivalent according to the Global Physical Activity Questionnaire. Among the participants, 38.5%, 32.3%, and 64.6% of the employees are inactive at work, commuting, and taking leisure time, respectively. Up to 41.8% of the men and 37.8% of the women (P = 0.012) are physically inactive. When the age and educational level are adjusted, male doctors and medical technicians show a higher percentage of physical inactivity than male workers in logistics (P = 0.001). Among females, employees who are working in second- and third-class hospitals show a higher proportion of physical inactivity than those who are working in community health care centers. Logistic regression analyses show that the odds ratios (ORs) of leisure-time physical inactivity associated with the intensity of physical activity at work are 2.259, 2.897, and 4.266 for men (P<0.001) and 2.456, 3.259, and 3.587 for women (P<0.001), respectively. The time during commuting activities is significantly associated with leisure-time physical inactivity in either sex (OR= 2.116 for men and 2.173 for women, P<0.001). Hospital employees, particularly doctors and medical technicians, show a higher proportion of physical inactivity than other inhabitants in Shanghai. The time and intensity of activity at work and commuting are associated with leisure-time activities.

Keywords

physical inactivity / prevalence / determination, employee / public hospital / cross-sectional study

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Xinjian Li, Minna Cheng, Hao Zhang, Ting Ke, Yisheng Chen. Prevalence and determinations of physical inactivity among public hospital employees in Shanghai, China: a cross-sectional study. Front. Med., 2015, 9(1): 100‒107 https://doi.org/10.1007/s11684-014-0372-9

References

[1]
Drygas W, Kostka T, Jegier A, Kuński H. Long-term effects of different physical activity levels on coronary heart disease risk factors in middle-aged men. Int J Sports Med 2000; 21(4): 235–241
CrossRef Pubmed Google scholar
[2]
Lee IM, Paffenbarger RS Jr. Associations of light, moderate, and vigorous intensity physical activity with longevity. The Harvard Alumni Health Study. Am J Epidemiol 2000; 151(3): 293–299
CrossRef Pubmed Google scholar
[3]
Li CL, Lin JD, Lee SJ, Tseng RF. Associations between the metabolic syndrome and its components, watching television and physical activity. Public Health 2007; 121(2): 83–91
CrossRef Pubmed Google scholar
[4]
Pate RR, Pratt M, Blair SN, Haskell WL, Macera CA, Bouchard C, Buchner D, Ettinger W, Heath GW, King AC, Kriska A, Leon AS, Marcus BH, Morris J, Paffenbarger Jr RS, Patrick K, Pollock ML, Rippe JM, Sallis J, Wilmore JH . Physical activity and public health. A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. JAMA 1995; 273(5): 402–407
CrossRef Pubmed Google scholar
[5]
Zhang J, Chaaban J. The economic cost of physical inactivity in China. Prev Med 2013; 56(1): 75–78
CrossRef Pubmed Google scholar
[6]
World Health Organization. Global Status Report on Noncommunicable Diseases 2010. Geneva: World Health Organization, 2010: 18–19
[7]
Chinese Center for Disease Control and Prevention. Report on Chronic Disease Risk Factor Surveillance in China 2007. Beijing: People’s Medical Publishing House (in Chinese, Abstract in English)
[8]
Heikkilä K, Fransson EI, Nyberg ST, Zins M, Westerlund H, Westerholm P, Virtanen M, Vahtera J, Suominen S, Steptoe A, Salo P, Pentti J, Oksanen T, Nordin M, Marmot MG, Lunau T, Ladwig KH, Koskenvuo M, Knutsson A, Kittel F, Jöckel KH, Goldberg M, Erbel R, Dragano N, DeBacquer D, Clays E, Casini A, Alfredsson L, Ferrie JE, Singh-Manoux A, Batty GD, Kivimäki M; IPD-Work Consortium. Job strain and health-related lifestyle: findings from an individual-participant meta-analysis of 118,000 working adults. Am J Public Health 2013; 103(11): 2090–2097
CrossRef Pubmed Google scholar
[9]
Wu H, Chi TS, Chen L, Wang L, Jin YP. Occupational stress among hospital nurses: cross-sectional survey. J Adv Nurs 2010; 66(3): 627–634
CrossRef Pubmed Google scholar
[10]
Li J, Yang W, Cho SI. Gender differences in job strain, effort-reward imbalance, and health functioning among Chinese physicians. Soc Sci Med 2006; 62(5): 1066–1077
CrossRef Pubmed Google scholar
[11]
Brunner EJ, Chandola T, Marmot MG. Prospective effect of job strain on general and central obesity in the Whitehall II Study. Am J Epidemiol 2007; 165(7): 828–837
CrossRef Pubmed Google scholar
[12]
Ali SM, Lindström M. Psychosocial work conditions, unemployment, and leisure-time physical activity: a population-based study. Scand J Public Health 2006; 34(2): 209–216
CrossRef Pubmed Google scholar
[13]
GPAQ: Global Physical Activity Questionnaire (version 2.0).
[14]
Armstrong T, Bonita R. Capacity building for an integrated noncommunicable disease risk factor surveillance system in developing countries. Ethn Dis 2003; 13(Suppl 2): S13–S18
Pubmed
[15]
Bull FC, Maslin TS, Armstrong T. Global physical activity questionnaire (GPAQ): nine country reliability and validity study. J Phys Act Health 2009; 6(6): 790–804
Pubmed
[16]
Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT; the Lancet Physical Activity Series Working Group. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 2012; 380(9838): 219–229
CrossRef Pubmed Google scholar
[17]
Li XJ, Xu JY, Zhong WJ. Report on Chronic Disease and Risk Factors Surveillance in Shanghai 2007. Shanghai: Shanghai Popular Science Press, 2012 (in Chinese, Abstract in English)
[18]
Gidlow C, Johnston LH, Crone D, Ellis N, James D. A systematic review of the relationship between socio-economic position and physical activity. Health Educ J 2006; 65(4): 338–367
CrossRef Google scholar
[19]
Brownson RC, Eyler AA, King AC, Brown DR, Shyu YL, Sallis JF. Patterns and correlates of physical activity among US women 40 years and older. Am J Public Health 2000; 90(2): 264–270
CrossRef Pubmed Google scholar
[20]
Ford ES, Merritt RK, Heath GW, Powell KE, Washburn RA, Kriska A, Haile G. Physical activity behaviors in lower and higher socioeconomic status populations. Am J Epidemiol 1991; 133(12): 1246–1256
Pubmed
[21]
He XZ, Baker DW. Differences in leisure-time, household, and work-related physical activity by race, ethnicity, and education. J Gen Intern Med 2005; 20(3): 259–266
CrossRef Pubmed Google scholar
[22]
King AC, Blair SN, Bild DE, Dishman RK, Dubbert PM, Marcus BH, Oldridge NB, Paffenbarger RS Jr, Powell KE, Yeager KK. Determinants of physical activity and interventions in adults. Med Sci Sports Exerc 1992; 24(Suppl 6): S221–S236
CrossRef Pubmed Google scholar
[23]
Pisljar T, van der Lippe T, den Dulk L. Health among hospital employees in Europe: a cross-national study of the impact of work stress and work control. Soc Sci Med 2011; 72(6): 899–906
CrossRef Pubmed Google scholar
[24]
Kouvonen A, Vahtera J, Oksanen T, Pentti J, Väänänen AK, Heponiemi T, Salo P, Virtanen M, Kivimäki M. Chronic workplace stress and insufficient physical activity: a cohort study. Occup Environ Med 2013; 70(1): 3–8
CrossRef Pubmed Google scholar
[25]
Smith MJ, Colligan MJ, Hurrell JJ. A review of NIOSH psychological stress research-1977. In: Occupational Stress: Proceedings of the Conference on Occupational Stress (DHEW NIOSH, publication no. 78−156). Washington, DC: U.S. Government Printing Office, 1978
[26]
Holtermann A, Marott JL, Gyntelberg F, Søgaard K, Suadicani P, Mortensen OS, Prescott E, Schnohr P. Does the benefit on survival from leisure time physical activity depend on physical activity at work? A prospective cohort study. PLoS ONE 2013; 8(1): e54548
CrossRef Pubmed Google scholar
[27]
Fransson EI1, Heikkilä K, Nyberg ST, Zins M, Westerlund H, Westerholm P, Väänänen A, Virtanen M, Vahtera J, Theorell T, Suominen S, Singh-Manoux A, Siegrist J, Sabia S, Rugulies R, Pentti J, Oksanen T, Nordin M, Nielsen ML, Marmot MG, Magnusson Hanson LL, Madsen IE, Lunau T, Leineweber C, Kumari M, Kouvonen A, Koskinen A, Koskenvuo M, Knutsson A, Kittel F, Jöckel KH, Joensuu M, Houtman IL, Hooftman WE, Goldberg M, Geuskens GA, Ferrie JE, Erbel R, Dragano N, De Bacquer D, Clays E, Casini A, Burr H, Borritz M, Bonenfant S, Bjorner JB, Alfredsson L, Hamer M, Batty GD, Kivimäki M. Job strain as risk factor for leisure-time physical inactivity: an individual-participant Meta-analysis of up to 170000 men and women. The IPD-Work Consortium. Am J Epidemiol 2012; 176: 1078–1089
CrossRef Pubmed Google scholar

Compliance with ethics guidelines

Xinjian Li, Minna Cheng, Hao Zhang, Ting Ke, and Yisheng Chen declare that they have no conflict of interest. Informed consent was obtained from the participants for inclusion in this study. The protocol was approved by the responsible ethics committee.

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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