Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Paper
  • Published:

Sitting time and work patterns as indicators of overweight and obesity in Australian adults

Abstract

BACKGROUND: Increasing levels of physical inactivity and sedentariness are contributing to the current overweight and obesity epidemic. In this paper, the findings of two recent studies are used to explore the relationships between sitting time (in transport, work and leisure), physical activity and body mass index (BMI) in two contrasting samples of adult Australians.

METHODS: Data on sitting time, physical activity, BMI and a number of demographic characteristics were compared for participants in two studies—529 women who were participants in a preschool health promotion project (‘mothers’), and 185 men and women who were involved in a workplace pedometer study (‘workers’). Relationships between age, number of children, physical activity, sitting time, BMI, gender and work patterns were explored. Logistic regression was used to predict the likelihood of being overweight or obese, among participants with different physical activity, sitting time and work patterns.

RESULTS: The total reported time spent sitting per day (across all domains) was almost 6 h less among the mothers than the workers (P<0.001), and compared with the mothers, a significantly greater proportion of the workers was classified as overweight or obese (BMI ≥25 kg/m2). Univariate analysis found that, compared with men in full-time work, women who worked full-time (OR=0.42, CI: 0.24–0.74), part-time (OR=0.35, CI: 0.20–0.59) or in full-time home duties (OR=0.51, CI: 0.29–0.88) were about half as likely to be overweight or obese. Participants who reported high daily levels of sitting (≥7.4 h) were also significantly more likely than those who reported ‘low’ levels (<4.7 h/day) to be overweight or obese (OR=1.68, CI: 1.16–2.42). Multivariate analysis (including physical activity, work patterns and sitting time) confirmed that full-time and part-time working women (but not ‘home duties’ women) were less likely to report BMI ≥25 kg/m2 than full-time working men (full-time: OR=0.44, CI: 0.25–0.78; part-time: OR=0.45, CI: 0.24–0.86), but the OR for BMI ≥25 among those in the high sitting category was attenuated (OR=1.61, CI 0.96–2.71).

CONCLUSIONS: The findings suggest a need for inclusion of measures of both activity and inactivity in future studies, so that the complex relationships between these behavioural determinants of BMI can be clarified.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

References

  1. Australian Bureaus of Statistics. National Health Survey 2001. Australian Bureau of Statistics; Canberra; 2002.

  2. National Health & Medical Research Council. Acting on Australia's weight. Australian Government Publishing Service: Canberra; 1997.

  3. Prentice A, Jebb S . Obesity in Britain: gluttony or sloth? Br M J 1995; 311: 437–439.

    Article  CAS  Google Scholar 

  4. 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 Relat Metab Disord 2000; 24: 600–606.

    Article  CAS  Google Scholar 

  5. Tucker L, Friedman G . Television viewing and obesity in adult males. Am J Public Health 1989; 79: 516–518.

    Article  CAS  Google Scholar 

  6. Andersen RE, Crespo CJ, Bartlett SJ, Cheskin LJ, Pratt M . Relationship of physical activity and television watching with body weight and level of fatness among children. J Am Med Assoc 1998; 279: 938–942.

    Article  CAS  Google Scholar 

  7. Jeffrey RW, French SA . Epidemic obesity in the United States: are fast foods and television viewing contributing? Am J Public Health 1998; 88: 277–280.

    Article  Google Scholar 

  8. Dietz WH, Gortmaker SL . Do we fatten our children at the television set? Obesity and television viewing in children and adolescents. Pediatrics 1985; 75: 807–812.

    Google Scholar 

  9. Miller YD, Trost SG, Brown WJ . Mediators of physical activity behavior change among women with young children. Am J Prev Med 2002; 23: 98–103.

    Article  Google Scholar 

  10. Ball K, Brown W, Crawford D . Who does not gain weight? Prevalence and predictors of weight maintenance in young women. Int J Obesity Relat Metab Disord 2002; 26: 1570–1578.

    Article  CAS  Google Scholar 

  11. Armstrong T, Bauman A, Davies J . Physical activity patterns of Australian adults. Results of the 1999 National Physical Activity Survey. Australian Institute of Health and Welfare: Canberra; 2000.

    Google Scholar 

  12. Welk GJ, Differding JA, Thompson RW, Blair SN, Dziura J, Hart P . The utility of the Digi-walker step counter to assess daily physical activity patterns. Med Sci Sports Exerc 2000; 32: S481–S488.

    Article  CAS  Google Scholar 

  13. Ainsworth BE . Challenges in measuring physical activity in women. Exerc Sports Sci Rev 2000; 28: 93–96.

    CAS  Google Scholar 

  14. Brown PR, Brown WJ, Miller YD . Perceived constraints and social support for active leisure among mothers with young children. Leisure Sci 2001; 23: 131–144.

    Article  Google Scholar 

  15. Martinez-Gonzalez MA, Martinez JA, Hu F, Gibney MJ, Kearney J . Physical inactivity, sedentary lifestyle and obesity in the European Union. Int J Obes Relat Metab Disord 1999; 23: 1192–1202.

    Article  CAS  Google Scholar 

  16. Ainsworth BE, Haskell W, Whitt MC, Irwin ML, Swartz AM, Strath SJ . Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc 2000; 32: S498–S516.

    Article  CAS  Google Scholar 

  17. Hill JO, Wyatt HR, Reed GW, Peters JC . Obesity and the environment: where do we go from here? Science 2003; 299: 853–855.

    Article  CAS  Google Scholar 

  18. Washburn RA, Heath GW, Jackson AW . Reliability and validity issues concerning large-scale surveillance of physical activity. Res Q Exerc Sport 2000; 71: 104–113.

    Article  Google Scholar 

  19. Flood V, Webb K, Lazarus R, Pang G . Use of self-report to monitor overweight and obesity in populations: some issues for consideration. Aust NZ J Public Health 2000; 24: 96–99.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The ‘mothers’ study was funded by the Commonwealth Department of Health and Aging and the NSW Department of Health. The ‘workers’ study was funded by the Brisbane Southside Public Health Unit, Queensland Health. We are grateful to all the participants who made both studies possible.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to W J Brown.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Brown, W., Miller, Y. & Miller, R. Sitting time and work patterns as indicators of overweight and obesity in Australian adults. Int J Obes 27, 1340–1346 (2003). https://doi.org/10.1038/sj.ijo.0802426

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.ijo.0802426

Keywords

This article is cited by

Search

Quick links