BMC Public Health | |
Associations between occupational indicators and total, work-based and leisure-time sitting: a cross-sectional study | |
Lee Di Milia1  Brenda Happell1  Kevin Ronan1  Matthew Rockloff1  Camille Short1  Mitch J Duncan1  Corneel Vandelanotte1  | |
[1] Institute for Health and Social Science Research, Building 18, Bruce Highway, 4702 Rockhampton, Queensland, Australia | |
关键词: Physical demand; White-collar; Blue-collar; Part-time; Full-time; Workplace; Shift-work; Leisure-time; Occupation; Sedentary behaviour; Sitting time; | |
Others : 1161521 DOI : 10.1186/1471-2458-13-1110 |
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received in 2013-08-16, accepted in 2013-11-21, 发布年份 2013 | |
【 摘 要 】
Background
A better understanding of how occupational indicators (e.g. job type, doing shift-work, hours worked, physical demand) influence sitting time will aid in the design of more effective health behaviour interventions. The aim of the study was to examine the associations between several occupational indicators and total, occupational and leisure-time sitting.
Methods
Cross-sectional self-report data was collected in November 2011 from 1194 participants through a telephone interview in regional Queensland, Australia (response rate was 51.9%). The Workforce Sitting Questionnaire was used to measure sitting time. Multiple logistic regression was applied to examine associations between sitting time and occupational indicators.
Results
Of all participants 77.9% were employed full-time, 72.7% had white-collar jobs, 35.7% were engaged in shift-work, 39.5% had physically demanding jobs, and 53.2% had high total sitting time (>8 hours a day). Those in physically demanding and blue-collar occupations were less likely to report high total (physically demanding: OR = 0.41,95% CI = 0.29–0.58; blue-collar: OR = 0.55,95% CI = 0.37–0.82) and occupational (physically demanding: OR = 0.26,95% CI = 0.14–0.24; blue-collar: OR = 0.32,95% CI = 0.21–0.49) sitting time compared to those in physically undemanding and white-collar occupations respectively. Working more than 8 hours per day was inversely associated with high leisure-time sitting (OR = 0.44,95% CI = 0.29–0.68). No evidence for ‘compensation’ effects, where lower occupational sitting is compensated with higher leisure-time sitting, was found.
Conclusions
Behaviour change interventions are needed to reduce sitting time as a means to prevent chronic disease. Workplace initiatives to reduce sitting time may be particularly important among individuals employed in white-collar and physical undemanding occupations, although other intervention strategies targeting leisure-time sitting are also required.
【 授权许可】
2013 Vandelanotte et al.; licensee BioMed Central Ltd.
【 预 览 】
Files | Size | Format | View |
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20150413031512141.pdf | 174KB | download |
【 参考文献 】
- [1]Van Der Ploeg HP, Chey T, Korda RJ, Banks E, Bauman A: Sitting time and all-cause mortality risk in 222 497 Australian adults. Arch Intern Med 2012, 172(6):494-500.
- [2]George ES, Rosenkranz RR, Kolt GS: Chronic disease and sitting time in middle-aged Australian males: findings from the 45 and up study. Int J Behav Nutr Phys Activ 2013, 10:20. BioMed Central Full Text
- [3]Hu FB, Li TY, Golditz GA, Willett WC, Manson JE: Television watching and other sedentary behaviours in relation to risk of obesity and type 2 diabetes mellitus in women. Jama 2003, 289:1785-1791.
- [4]Dunstan DW, Salmon J, Owen N, Armstrong T, Zimmet DW, Welborn TA, Cameron AJ, Dwyer T, Jolley D, Shaw JE: Associations of TV viewing and physical activity with the metabolic syndrome in Australian adults. Diabetologia 2005, 48:2254-2261.
- [5]Healy GN, Wijndaele K, Dunstan DW, Shaw JE, Salmon J, Zimmet PZ, Owen N: Objectively measured sedentary time, physical activity and metabolic risk. The Australian diabetes, obesity and lifestyle study (AusDiab). Diab Care 2008, 31:369-371.
- [6]Atkin AJ, Adams E, Bull FC, Biddle SJH: Non-occupational sitting and mental well-being in employed adults. Ann Behav Med 2012, 43(2):181-188.
- [7]Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, Troiano RP: Amount of time spent in sedentary behaviors in the United States, 2003–2004. Am J Epidemiol 2008, 167(7):875-881.
- [8]Spittaels H, Van Cauwenberghe E, Verbestel V, De Meester F, Van Dyck D, Verloigne M, Haerens L, Deforche B, Cardon G, De Bourdeaudhuij I: Objectively measured sedentary time and physical activity time across the lifespan: a cross-sectional study in four age groups. Int J Behav Nutr Phys Act 2012, 9:149. BioMed Central Full Text
- [9]Owen N, Healy GN, Matthews CE, Dunstan DW: Too much sitting: the population health science of sedentary behavior. Exerc Sport Sci Rev 2010, 38(3):105-113.
- [10]Duncan MJ, Badland HM, Mummery WK: Physical activity levels by occupational category in non-metropolitan australian adults. J Phys Activ Health 2010, 7(6):718-723.
- [11]Jans MP, Proper KI, Hildebrandt VH: Sedentary behavior in dutch workers. Differences between occupations and business sectors. Am J Prev Med 2007, 33(6):450-454.
- [12]Mummery WK, Schofield GM, Steele R, Eakin EG, Brown WJ: Occupational sitting time and overweight and obesity in Australian workers. Am J Prev Med 2005, 29(2):91-97.
- [13]Salmon J, Bauman A, Crawford D, Timperio A, Owen N: The association between television viewing and overweight among Australian adults participating in varying levels of leisure-time physical activity. Int J Obes 2000, 24(5):600-606.
- [14]Proper K, Cerin E, Brown W, Owen N: Sitting time and socio-economic differences in overweight and obesity. Int J Obes 2006, 31:169-176.
- [15]Evans RE, Fawole HO, Sheriff SA, Dall PM, Grant PM, Ryan CG: Point-of-choice prompts to reduce sitting time at work: a randomized trial. Am J Prev Med 2012, 43(3):293-297.
- [16]Alkhajah TA, Reeves MM, Eakin EG, Winkler EAH, Owen N, Healy GN: Sit-stand workstations: a pilot intervention to reduce office sitting time. Am J Prev Med 2012, 43(3):298-303.
- [17]Tigbe WW, Lean MEJ, Granat MH: A physically active occupation does not result in compensatory inactivity during out-of-work hours. Prev Med 2011, 53(1–2):48-52.
- [18]Chau JY, van der Ploeg HP, Merom D, Chey T, Bauman AE: Cross-sectional associations between occupational and leisure-time sitting, physical activity and obesity in working adults. Prev Med 2012, 54(3–4):195-200.
- [19]Johansson G, Johnson JV, Hall EM: Smoking and sedentary behavior as related to work organization. Soc Sci Med 1991, 32(7):837-846.
- [20]Tudor-Locke C, Leonardi C, Johnson WD, Katzmarzyk PT: Time spent in physical activity and sedentary behaviors on the working day: the American time use survey. J Occup Environ Med 2011, 53(12):1382-1387.
- [21]Ausubel JH, Brubler A: Working less and living longer: long-term trends in working time and time budgets. Technol Forecast Soc Change 1995, 50(3):195-213.
- [22]Owen N: Sedentary behavior: understanding and influencing adults’ prolonged sitting time. Prev Med 2012, 55(6):535-539.
- [23]Chau JY, Van Der Ploeg HP, Dunn S, Kurko J, Bauman AE: A tool for measuring workers’ sitting time by domain: the workforce sitting questionnaire. Br J Sports Med 2011, 45(15):1216-1222.
- [24]Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, et al.: International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003, 35(8):1381-1395.
- [25]Bauman A, Bull F, Chey T, Craig CL, Ainsworth BE, Sallis J, Bowles HR, Hagstromer M, Sjorstrom M, Pratt M: The international prevalence study on physical activity: results from 20 countries. Int J Behav Nutr Phys Activ 2009, 6:21. BioMed Central Full Text
- [26]Australian Bureau of Statistics: Australian standard classification of occupations (ASCO). 2nd edition. Canberra (AUST): ABS; 1997. [Australian bureau of statistics]
- [27]Hart SG, Staveland LE: Development of NASA-TLX (task load index): results of empirical and theoretical research. In Human mental workload. Edited by Hancock PA, Meshkati N. Amsterdam: North Holland Press; 1988.
- [28]Rhodes RE, Mark RS, Temmel CP: Adult sedentary behavior: a systematic review. Am J Prev Med 2012, 42(3):e3-e28.
- [29]Australian Bureau of Statistics: Australian health survey: first results, 2011–2012. Canberra (AUST): ABS; 2012. [Australian bureau of statistics]
- [30]Kirk MA, Rhodes RE: Occupation correlates of adults’ participation in leisure-time physical activity: a systematic review. Am J Prev Med 2011, 40(4):476-485.
- [31]Van Dyck D, Cerin E, Conway TL, De Bourdeaudhuij I, Owen N, Kerr J, Cardon G, Frank LD, Saelens BE, Sallis JF: Associations between perceived neighborhood environmental attributes and adults’ sedentary behavior: findings from the USA, Australia and Belgium. Soc Sci Med 2012, 74(9):1375-1384.
- [32]Van Uffelen JGZ, Heesch KC, Brown W: Correlates of sitting time in working age australian women: who should be targeted with interventions to decrease sitting time? J Phys Activ Health 2012, 9(2):270-287.
- [33]Stamatakis E, Hirani V, Rennie K: Moderate-to-vigorous physical activity and sedentary behaviours in relation to body mass index-defined and waist circumference-defined obesity. Br J Nutr 2009, 101(5):765-773.
- [34]Hamilton MT, Healy GN, Dunstan DW, Zderic TW, Owen N: Too little exercise and too much sitting: inactivity physiology and the need for new recommendations on sedentary behavior. Curr Cardiovas Risk Report 2008, 2(4):292-298.
- [35]Healy GN, Dunstan DW, Salmon J, Cerin E, Shaw JE, Zimmet PZ, et al.: Objectively measured light-intensity physical activity is independently associated with 2-h plasma glucose. Diab Care 2007, 30:1384-1389.
- [36]Burton NW, Haynes M, Van Uffelen JGZ, Brown WJ, Turrell G: Mid-aged adults’ sitting time in three contexts. Am J Prev Med 2012, 42(4):363-373.
- [37]Starr GJ, Dal Grande ED, Taylor AW, Wilson DH: Reliability of self-reported behavioural health risk factors in a South Australian telephone survey. Aust N Z J Public Health 1999, 23(5):528-530.
- [38]Curtin R, Presser S, Singer E: Changes in telephone survey nonresponse over the past quarter century. Public Opin Q 2005, 69:87-88.
- [39]Groves RM: Nonresponse rates and nonresponse bias in household surveys. Public Opin Q 2006, 70:646-675.