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Clemes, Stacy; Houdmont, Jonathan; Munir, Fehmidah; Wilson, Kelly; Kerr, Robert; Addley, Ken (2016)
Publisher: Oxford University Press
Languages: English
Types: Article
Subjects:
Background\ud Given links between sedentary behaviour and unfavourable health outcomes, there is a need to understand the influence of socio-demographic factors on sedentary behaviour to inform effective interventions. This study examined domain-specific sitting times reported across socio-demographic groups of office workers.\ud Methods\ud The analyses are cross-sectional and based on a survey conducted within the Stormont Study, which is tracking employees in the Northern Ireland Civil Service. Participants self-reported their daily sitting times across multiple domains (work, TV, travel, PC use and leisure) on workdays and non-workdays, along with their physical activity and socio-demographic variables (sex, age, marital status, BMI, educational attainment and work pattern). Total and domain-specific sitting on workdays and non-workdays were compared across socio-demographic groups using multivariate analyses of covariance.\ud Results\ud Completed responses were obtained from 4436 participants. For the whole sample, total daily sitting times were higher on workdays in comparison to non-workdays (625 ± 168 versus 469 ± 210 min/day, P < 0.001). On workdays and non-workdays, higher sitting times were reported by individuals aged 18–29 years, obese individuals, full-time workers and single/divorced/widowed individuals (P < 0.001).\ud Conclusions\ud Interventions are needed to combat the high levels of sedentary behaviour observed in office workers, particularly among the highlighted demographic groups. Interventions should target workplace and leisure-time sitting.
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    • 1. Sedentary Behaviour Research Network. Standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab. 2012; 37:540-2.
    • 2. Hu FB, Li TY, Colditz GA, Willett WC, Manson JE. Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA. 2003; 289:1785-91.
    • 3. Brown WJ, Williams L, Ford JH, Ball K, Dobson AJ. Identifying the energy gap: magnitude and determinants of 5-year weight gain in midage women. Obes Res. 2005; 13:1431-41.
    • 4. Gierach FGL, Chang SC, Brinton LA, et al. Physical activity, sedentary behavior, and endoometrial cancer risk in the NIH-AARP Diet and Health Study. Int J Cancer. 2009; 124:213r9-47.
    • 5. Lynch BM. Sedentary behavior and cancer: a systematic review of the P literature and proposed biological mechanisms. Cancer Epidemiol Biomarkers Prev. 2010; 19:2691-709. e
    • 6. Edwardson CL, Gorely Te,Davies MJ, et al. Association of sedentary behaviour with metabolic syndrome: armeta-analysis. PloS one. 2012; 7:e34916.
    • 7. Katzmarzyk PT, Church TS, Craig RCL, Bouchard C. Sitting time and mortality from all causes, cardiovascular disease, and cancer. Med Sci Sports Exerc. 2009; 41:998-1005. e
    • 8. Wilmot EG, Edwardson CL, Achana FA, vetal. Sedentary time in adults and the association with diabetes, cardiovascular diseasieeand death: systematic review and meta-analysis. Diabetologia. 2012; 55:2895-905. w
    • 9. Chau JY, der Ploeg HP, van Uffelen JG, et al. Are workplace interventions to reduce sitting effective? A systematic review. Prev Med. 2010; 51:352-6.
    • 10. Miller R, Brown W. Steps and sitting in a working population. Int J Behav Med. 2004; 11:219-24.
    • 11. 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; 54:195-200.
    • 12. Jans MP, Proper KI, Hildebrandt VH. Sedentary behavior in Dutch workers: differences between occupations and business sectors. Am J Prev Med. 2007; 33:450-4.
    • 13. Tigbe WW, Lean ME, Granat MH. A physically active occupation does not result in compensatory inactivity during out-of-work hours. Prev Med. 2011; 53:48-52.
    • 14. Parry S, Straker L. The contribution of office work to sedentary behaviour associated risk. BMC Public Health. 2013; 13:296.
    • 15. Clemes SA, David BM, Zhao Y, Han X, Brown W. Validity of two self-report measures of sitting time. J Phys Act Health. 2012; 9:533-9.
    • 16. Thorp AA, Healy GN, Winkler E, et al. Prolonged sedentary time and physical activity in workplace and non-work contexts: a cross-sectional study of office, customer service and call centre employees. Int J Behav Nutr Phys Act. 2012; 9:128.
    • 17. HarringtoFnDM, Barreira TV, Staiano AE, Katzmarzyk PT. The descriptive epidemiology of sitoting among US adults, NHANES 2009/2010. J Sci Med Sport. 2014;17:371-5. r
    • 18. Proper KI, Cerin E, PBrown WJ, Owen N. Sitting time and socio-economic differences in overweight and obesity. Int J Obes (Lond). 2007; 31:169-76.
    • 19. Stamatakis E, Hamer M, eDunstan DW. Screen-based entertainment time, allcause mortality, and cardiovascuelarevents: population-based study with ongoing mortality and hospital events follow-upr.J Am Coll Cardiol. 2011; 57:292-9.
    • 20. Clemes SA, O'Connell S E, EdRwardson CL. Office workers' objectively measured sedentary behavior and physical activity during and outside working hours. J Occup Environ Med. 2014; 56:298-303. e
    • 21. Clemes SA, Patel R, Mahon C, Griffiths PvL. Sitting time and step counts in office workers. Occup Med (Lond). 2014;64:188-92. ie
    • 22. Houdmont J, Kerr R, Addley K. Psychosocial factors wand economic recession: the Stormont Study. Occup Med (Lond). 2012; 62:98-104.
    • 23. Marshall AL, Miller YD, Burton NW, Brown WJ. Measuring total and domainspecific sitting: a study of reliability and validity. Med Sci Sports Exerc. 2010; 42:1094-102.
    • 24. 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; 45:1216-22.
    • 25. Milton K, Bull FC, Bauman A. Reliability and validity testing of a single-item physical activity measure. Br J Sports Med. 2011; 45:203-8.
    • 26. Milton K, Clemes S, Bull F. Can a single question provide an accurate measure of physical activity? Br J Sports Med. 2013; 47:44-8.
    • 27. Chief Medical Officer. At least five a week: evidence on the impact pf physical activity and its relationship to health. Crown Copyright; 2004.
    • 28. World Health Organisation. Obesity: Preventing and managing the global epidemic: Report of a WHO consultation. Geneva: WHO Technical Report Series 894; 2000.
    • 29. Dunstan DW, Barr EL, Healy GN, et al. Television viewing time and mortality: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Circulation. 2010; 121:384-91.
    • 30. Otten JJ, Jones KE, Littenberg B, Harvey-Berino J. Effects of television viewing reductioFnon energy intake and expenditure in overweight and obese adults: a randomized controolled trial. Arch Intern Med. 2009; 169:2109-15.
    • 31. Bauman A, Ainsrworth BE, Sallis JF, et al. The descriptive epidemiology of sitting. A 20-country comparison using the International Physical Activity P Questionnaire (IPAQ). Am J Prev Med. 2011; 41:228-35.
    • 32. Steele RM, van Sluijs eEM, Cassidy A, Griffin SJ, Ekelund U. Targeting sedentary time or moderate- and evigorous-intensity activity: independent relations with adiposity in a population-based rsample of 10-y-old British children. Am J Clin Nutr. 2009; 90:1185-92. R
    • 33. Buman MP, Winkler EA, Kurka JM, et al. Reallocating time to sleep, e sedentary behaviors, or active behaviors: associations with cardiovascular disease v risk biomarkers, NHANES 2005-2006. Am J Epidemiol. 2014; 179:323-34.
    • 34. Prince SA, Saunders TJ, Gresty K, Reiid eRD. A comparison of the effectiveness of physical activity and sedentary behaviour winterventions in reducing sedentary time in adults: a systematic review and meta-analysis of controlled trials. Obes Rev. 2014 Aug 11. doi: 10.1111/obr.12215
    • 35. Healy GN, Eakin EG, Lamontagne AD, et al. Reducing sitting time in office workers: Short-term efficacy of a multicomponent intervention. Prev Med. 2013; 57:43-8.
    • 36. Straker L, Abbott RA, Heiden M, Mathiassen SE, Toomingas A. Sit-stand desks in call centres: associations of use and ergonomics awareness with sedentary behavior. Appl Ergon. 2013; 44:517-22.
    • 37. Houdmont J, Kerr R, Randall R. Organisational psychosocial hazard exposures in UK policing: Management Standards Indicator Tool reference values. a s ± ± 3 7 3 36 37 37 388 738 381 if m d y W 8 6 8 8 0 fe 3 d 8 1 f o itn a80 90 06 14 g it 2 2 2 2 ls ± ± ± ± ) ta 7 5 1 5 y o 44 47 47 48 a T d / s n i 7 1 1 4 m re re 8 9 9 9 (g th isu ±4 ±9 ±0 ±6 iittn O le 10 10 11 11 s l ta r to teu e a95 66 72 69 ± ± ± ±
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