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BMC Public Health
Published in: BMC Public Health 1/2014

Open Access 01-12-2014 | Research article

Socio-demographic, behavioural and cognitive correlates of work-related sitting time in German men and women

Authors: Birgit Wallmann-Sperlich, Jens Bucksch, Sven Schneider, Ingo Froboese

Published in: BMC Public Health | Issue 1/2014

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Abstract

Background

Sitting time is ubiquitous for most adults in developed countries and is most prevalent in three domains: in the workplace, during transport and during leisure time. The correlates of prolonged sitting time in workplace settings are not well understood. Therefore, the aim of this study was to examine the gender-specific associations between the socio-demographic, behavioural and cognitive correlates of work-related sitting time.

Methods

A cross-sectional sample of working German adults (n = 1515; 747 men; 43.5 ± 11.0 years) completed questionnaires regarding domain-specific sitting times and physical activity (PA) and answered statements concerning beliefs about sitting. To identify gender-specific correlates of work-related sitting time, we used a series of linear regressions.

Results

The overall median was 2 hours of work-related sitting time/day. Regression analyses showed for men (β = -.43) and for women (β = -.32) that work-related PA was negatively associated with work-related sitting time, but leisure-related PA was not a significant correlate. For women only, transport-related PA (β = -.07) was a negative correlate of work-related sitting time, suggesting increased sitting times during work with decreased PA in transport. Education and income levels were positively associated, and in women only, age (β = -.14) had a negative correlation with work-related sitting time. For both genders, TV-related sitting time was negatively associated with work-related sitting time. The only association with cognitive correlates was found in men for the belief ‘Sitting for long periods does not matter to me’ (β = .10) expressing a more positive attitude towards sitting with increasing sitting durations.

Conclusions

The present findings show that in particular, higher educated men and women as well as young women are high-risk groups to target for reducing prolonged work-related sitting time. In addition, our findings propose considering increasing transport-related PA, especially in women, as well as promoting recreation-related PA in conjunction with efforts to reduce long work-related sitting times.
Literature
1.
Owen N, Bauman A, Brown W: Too much sitting: a novel and important predictor of chronic disease risk?. Br J Sports Med. 2009, 43 (2): 81-83.CrossRefPubMed
2.
Thorp AA, Owen N, Neuhaus M, Dunstan DW: Sedentary behaviors and subsequent health outcomes in adults a systematic review of longitudinal studies, 1996–2011. Am J Prev Med. 2011, 41 (2): 207-215. 10.1016/j.amepre.2011.05.004.CrossRefPubMed
3.
Dunstan DW, Barr EL, Healy GN, Salmon J, Shaw JE, Balkau B, Magliano DJ, Cameron AJ, Zimmet PZ, Owen N: Television viewing time and mortality: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Circulation. 2010, 121 (3): 384-391. 10.1161/CIRCULATIONAHA.109.894824.CrossRefPubMed
4.
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). Diabetes Care. 2008, 31 (2): 369-371. 10.2337/dc07-1795.CrossRefPubMed
5.
Dunstan DW, Thorp AA, Healy GN: Prolonged sitting: is it a distinct coronary heart disease risk factor?. Curr Opin Cardiol. 2011, 26 (5): 412-419. 10.1097/HCO.0b013e3283496605.CrossRefPubMed
6.
Warren TY, Barry V, Hooker SP, Sui X, Church TS, Blair SN: Sedentary behaviors increase risk of cardiovascular disease mortality in men. Med Sci Sports Exerc. 2010, 42 (5): 879-885. 10.1249/MSS.0b013e3181c3aa7e.CrossRefPubMedPubMedCentral
7.
Wilmot EG, Edwardson CL, Achana FA, Davies MJ, Gorely T, Gray LJ, Khunti K, Yates T, Biddle SJ: Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis. Diabetologia. 2012, 55 (11): 2895-2905. 10.1007/s00125-012-2677-z.CrossRefPubMed
8.
Sisson SB, Camhi SM, Church TS, Martin CK, Tudor-Locke C, Bouchard C, Earnest CP, Smith SR, Newton RL, Rankinen T, Katzmarzyk PT: Leisure time sedentary behavior, occupational/domestic physical activity, and metabolic syndrome in US men and women. Metab Syndr Relat Disord. 2009, 7 (6): 529-536. 10.1089/met.2009.0023.CrossRefPubMed
9.
Rezende LF, Rodrigues Lopes M, Rey-Lopez JP, Matsudo VK, Luiz Odo C: Sedentary behavior and health outcomes: an overview of systematic reviews. PLoS One. 2014, 9 (8): e105620-10.1371/journal.pone.0105620.CrossRefPubMedPubMedCentral
10.
Chau JY, Grunseit AC, Chey T, Stamatakis E, Brown WJ, Matthews CE, Bauman AE, van der Ploeg HP: Daily sitting time and all-cause mortality: a meta-analysis. PLoS One. 2013, 8 (11): e80000-10.1371/journal.pone.0080000.CrossRefPubMedPubMedCentral
11.
12.
Boyington J, Joseph L, Fielding R, Pate R: Sedentary behavior research priorities-NHLBI/NIA Sedentary Behavior Workshop Summary. Med Sci Sports Exerc. 2014, [Epub ahead of print]
13.
Thyfault JP, Du M, Kraus WE, Levine JA, Booth FW: Physiology of sedentary behavior and its relationship to health outcomes. Med Sci Sports Exerc. 2014, [Epub ahead of print]
14.
Hamilton MT, Hamilton DG, Zderic TW: Role of low energy expenditure and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease. Diabetes. 2007, 56 (11): 2655-2667. 10.2337/db07-0882.CrossRefPubMed
15.
Straker L, Mathiassen SE: Increased physical work loads in modern work–a necessity for better health and performance?. Ergonomics. 2009, 52 (10): 1215-1225. 10.1080/00140130903039101.CrossRefPubMed
16.
Church TS, Thomas DM, Tudor-Locke C, Katzmarzyk PT, Earnest CP, Rodarte RQ, Martin CK, Blair SN, Bouchard C: Trends over 5 decades in U.S. occupation-related physical activity and their associations with obesity. PLoS One. 2011, 6 (5): e19657-10.1371/journal.pone.0019657.CrossRefPubMedPubMedCentral
17.
Thorp AA, Healy GN, Winkler E, Clark BK, Gardiner PA, Owen N, Dunstan DW: 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: 128-10.1186/1479-5868-9-128.CrossRefPubMedPubMedCentral
18.
Hu G, Eriksson J, Barengo NC, Lakka TA, Valle TT, Nissinen A, Jousilahti P, Tuomilehto J: Occupational, commuting, and leisure-time physical activity in relation to total and cardiovascular mortality among Finnish subjects with type 2 diabetes. Circulation. 2004, 110 (6): 666-673. 10.1161/01.CIR.0000138102.23783.94.CrossRefPubMed
19.
Hu G, Sarti C, Jousilahti P, Silventoinen K, Barengo NC, Tuomilehto J: Leisure time, occupational, and commuting physical activity and the risk of stroke. Stroke. 2005, 36 (9): 1994-1999. 10.1161/01.STR.0000177868.89946.0c.CrossRefPubMed
20.
van Uffelen JGZ, Wong J, Chau JY, van der Ploeg HP, Riphagen I, Gilson ND, Burton NW, Healy GN, Thorp AA, Clark BK, Gardiner PA, Dunstan DW, Bauman A, Owen N, Brown WJ: Occupational sitting and health risks: a systematic review. Am J Prev Med. 2010, 39 (4): 379-388. 10.1016/j.amepre.2010.05.024.CrossRefPubMed
21.
Alkhajah TA, Reeves MM, Eakin EG, Winkler EA, Owen N, Healy GN: Sit-stand workstations: a pilot intervention to reduce office sitting time. Am J Prev Med. 2012, 43 (3): 298-303. 10.1016/j.amepre.2012.05.027.CrossRefPubMed
22.
Dunstan DW, Kingwell BA, Larsen R, Healy GN, Cerin E, Hamilton MT, Shaw JE, Bertovic DA, Zimmet PZ, Salmon J, Owen N: Breaking up prolonged sitting reduces postprandial glucose and insulin responses. Diabetes Care. 2012, 35 (5): 976-983. 10.2337/dc11-1931.CrossRefPubMedPubMedCentral
23.
Thorp AA, Kingwell BA, Sethi P, Hammond L, Owen N, Dunstan DW: Alternating bouts of sitting and standing attenuates postprandial glucose responses. Med Sci Sports Exerc. 2014, 46 (11): 2053-2061. 10.1249/MSS.0000000000000337.CrossRefPubMed
24.
Neuhaus M, Eakin EG, Straker L, Owen N, Dunstan DW, Reid N, Healy GN: Reducing occupational sedentary time: a systematic review and meta-analysis of evidence on activity-permissive workstations. Obes Rev. 2014, 15 (10): 822-838. 10.1111/obr.12201.CrossRefPubMed
25.
Owen N, Sugiyama T, Eakin EE, Gardiner PA, Tremblay MS, Sallis JF: Adults’ sedentary behavior determinants and interventions. Am J Prev Med. 2011, 41 (2): 189-196. 10.1016/j.amepre.2011.05.013.CrossRefPubMed
26.
Wallmann-Sperlich B, Bucksch J, Hansen S, Schantz P, Froboese I: Sitting time in Germany: an analysis of socio-demographic and environmental correlates. BMC Public Health. 2013, 13 (1): 196-10.1186/1471-2458-13-196.CrossRefPubMedPubMedCentral
27.
Bennie JA, Chau JY, van der Ploeg HP, Stamatakis E, Do A, Bauman A: The prevalence and correlates of sitting in European adults - a comparison of 32 Eurobarometer-participating countries. Int J Behav Nutr Phys Act. 2013, 10 (1): 107-10.1186/1479-5868-10-107.CrossRefPubMedPubMedCentral
28.
Uijtdewilligen L, Twisk JW, Singh AS, Chinapaw MJ, van Mechelen W, Brown WJ: Biological, socio-demographic, work and lifestyle determinants of sitting in young adult women: a prospective cohort study. Int J Behav Nutr Phys Act. 2014, 11: 7-10.1186/1479-5868-11-7.CrossRefPubMedPubMedCentral
29.
Clark BK, Healy GN, Winkler EA, Gardiner PA, Sugiyama T, Dunstan DW, Matthews CE, Owen N: Relationship of television time with accelerometer-derived sedentary time: NHANES. Med Sci Sports Exerc. 2011, 43 (5): 822-828. 10.1249/MSS.0b013e3182019510.CrossRefPubMed
30.
Van Dyck D, Cardon G, Deforche B, Owen N, De Cocker K, Wijndaele K, De Bourdeaudhuij I: Socio-demographic, psychosocial and home-environmental attributes associated with adults’ domestic screen time. BMC Public Health. 2011, 11: 668-10.1186/1471-2458-11-668.CrossRefPubMedPubMedCentral
31.
Burton NW, Khan A, Brown WJ, Turrell G: The association between sedentary leisure and physical activity in middle-aged adults. Br J Sports Med. 2012, 46 (10): 747-752. 10.1136/bjsm.2010.081430.CrossRefPubMed
32.
Burton NW, Haynes M, van Uffelen JG, Brown WJ, Turrell G: Mid-aged adults’ sitting time in three contexts. Am J Prev Med. 2012, 42 (4): 363-373. 10.1016/j.amepre.2011.11.012.CrossRefPubMed
33.
Owen N, Salmon J, Koohsari MJ, Turrell G, Giles-Corti B: Sedentary behaviour and health: mapping environmental and social contexts to underpin chronic disease prevention. Br J Sports Med. 2014, 48 (3): 174-177. 10.1136/bjsports-2013-093107.CrossRefPubMed
34.
Brown WJ, Miller YD, Miller R: Sitting time and work patterns as indicators of overweight and obesity in Australian adults. Int J Obes Relat Metab Disord. 2003, 27 (11): 1340-1346. 10.1038/sj.ijo.0802426.CrossRefPubMed
35.
Rhodes RE, Dean RN: Understanding physical inactivity: prediction of four sedentary leisure behaviors. Leis Sci. 2009, 31 (2): 124-135. 10.1080/01490400802685948.CrossRef
36.
Marshall AL, Miller YD, Burton NW, Brown WJ: Measuring total and domain-specific sitting: a study of reliability and validity. Med Sci Sports Exerc. 2010, 42 (6): 1094-1102.PubMed
37.
Armstrong T, Bull F: Development of the World Health Organization Global Physical Activity Questionnaire (GPAQ). J Public Health. 2006, 14 (2): 66-70. 10.1007/s10389-006-0024-x.CrossRef
38.
39.
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
40.
Tabachnick BG, Fidell LS: Using Multivariate Statistics. 2007, Boston: Pearson Education, 5
41.
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. 10.1016/j.ypmed.2011.12.020.CrossRefPubMed
42.
Mielke GI, da Silva IC, Owen N, Hallal PC: Brazilian adults’ sedentary behaviors by life domain: population-based study. PLoS One. 2014, 9 (3): e91614-10.1371/journal.pone.0091614.CrossRefPubMedPubMedCentral
43.
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. 10.1016/j.amepre.2007.07.033.CrossRefPubMed
44.
De Cocker K, Duncan MJ, Short C, van Uffelen JG, Vandelanotte C: Understanding occupational sitting: prevalence, correlates and moderating effects in Australian employees. Prev Med. 2014, 67: 288-294.CrossRefPubMed
45.
Statistisches Bundesamt: Mikrozensus - Bevölkerung und Erwerbstätigkeit, Stand und Entwicklung der Erwerbstätigkeit in Deutschland 2012. Edited by: Statistisches Bundesamt. 2013, Wiesbaden, Fachserie 1:
46.
Healy GN, Clark BK, Winkler EA, Gardiner PA, Brown WJ, Matthews CE: Measurement of adults’ sedentary time in population-based studies. Am J Prev Med. 2011, 41 (2): 216-227. 10.1016/j.amepre.2011.05.005.CrossRefPubMedPubMedCentral
47.
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. 10.1016/j.amepre.2005.04.003.CrossRefPubMed
48.
Duncan MJ, Badland HM, Mummery WK: Physical activity levels by occupational category in non-metropolitan Australian adults. J Phys Act Health. 2010, 7 (6): 718-723.PubMed
49.
Clemes SA, Patel R, Mahon C, Griffiths PL: Sitting time and step counts in office workers. Occup Med (Lond). 2014, 64 (3): 188-192. 10.1093/occmed/kqt164.CrossRef
50.
Parry S, Straker L: The contribution of office work to sedentary behaviour associated risk. BMC Public Health. 2013, 13 (1): 296-10.1186/1471-2458-13-296.CrossRefPubMedPubMedCentral
51.
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 (1–2): 48-52.CrossRefPubMed
52.
Wallmann-Sperlich B, Froboese I: Physical activity during work, transport and leisure in Germany - prevalence and socio-demographic correlates. PLoS One. 2014, 9 (11): e112333-10.1371/journal.pone.0112333.CrossRefPubMedPubMedCentral
53.
Atkin AJ, Gorely T, Clemes SA, Yates T, Edwardson C, Brage S, Salmon J, Marshall SJ, Biddle SJ: Methods of measurement in epidemiology: sedentary behaviour. Int J Epidemiol. 2012, 41 (5): 1460-1471. 10.1093/ije/dys118.CrossRefPubMedPubMedCentral
54.
Bundeszentrale für politische Bildung: Erwerbstätigkeit von Frauen. 2010, Bonn
55.
Miller R, Brown W: Steps and sitting in a working population. Int J Behav Med. 2004, 11 (4): 219-224. 10.1207/s15327558ijbm1104_5.CrossRefPubMed
56.
Dunstan DW, Wiesner G, Eakin EG, Neuhaus M, Owen N, Lamontagne AD, Moodie M, Winkler EA, Fjeldsoe BS, Lawler S, Healy GN: Reducing office workers’ sitting time: rationale and study design for the Stand Up Victoria cluster randomized trial. BMC Public Health. 2013, 13 (1): 1057-10.1186/1471-2458-13-1057.CrossRefPubMedPubMedCentral
57.
Rhodes RE, Mark RS, Temmel CP: Adult sedentary behavior: a systematic review. Am J Prev Med. 2012, 42 (3): e3-e28. 10.1016/j.amepre.2011.10.020.CrossRefPubMed
58.
Biddle SJH, Mutrie N, Gorely T, Blamey A: Interventions for physical activity and sedentary behaviour. Advances in motivation in sport and exercise. Volume 3rd Edn. Edited by: Roberts GC, Treasure D. 2012, Champaign: Human Kinetics, 357-386.
59.
Davern M, McAlpine D, Beebe TJ, Ziegenfuss J, Rockwood T, Call KT: Are lower response rates hazardous to your health survey? An analysis of three state telephone health surveys. Health Serv Res. 2010, 45 (5 Pt 1): 1324-1344.CrossRefPubMedPubMedCentral
Metadata
Title
Socio-demographic, behavioural and cognitive correlates of work-related sitting time in German men and women
Authors
Birgit Wallmann-Sperlich
Jens Bucksch
Sven Schneider
Ingo Froboese
Publication date
01-12-2014
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2014
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-14-1259

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