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Who does not gain weight? Prevalence and predictors of weight maintenance in young women


OBJECTIVE: To investigate the prevalence and predictors of weight maintenance over time in a large sample of young Australian women.

DESIGN: This population study examined baseline and 4 y follow-up data from the cohort of young women participating in the Australian Longitudinal Study on Women's Health.

SUBJECTS: A total of 8726 young women aged 18–23 y at baseline.

MEASURES: Height, weight and body mass index (BMI); physical activity; time spent sitting; selected eating behaviours (eg dieting, disordered eating, takeaway food consumption); cigarette smoking, alcohol consumption; parity; and sociodemographic characteristics.

RESULTS: Only 44% of the women reported their BMI at follow-up to be within 5% of their baseline BMI (maintainers); 41% had gained weight and 15% had lost weight. Weight maintainers were more likely to be in managerial or professional occupations; to have never married; to be currently studying; and not to be mothers. Controlling for sociodemographic factors, weight maintainers were more likely to be in a healthy weight range at baseline, and to report that they spent less time sitting, and consumed less takeaway food, than women who gained weight.

CONCLUSIONS: Fewer than half the young women in this community sample maintained their weight over this 4 y period in their early twenties. Findings of widespread weight gain, particularly among those already overweight, suggest that early adulthood, which is a time of significant life changes for many women, may be an important time for implementing strategies to promote maintenance of healthy weight. Strategies which encourage decreased sitting time and less takeaway food consumption may be effective for encouraging weight maintenance at this life stage.

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  1. World Health Organization. Obesity, preventing and managing the global epidemic Report of the WHO Consultation on Obesity WHO: Geneva 1997

  2. Flegal KM . The obesity epidemic in children and adults: current evidence and research issues Med Sci Sports Exerc 1999 31: S509–S514.

    CAS  Article  Google Scholar 

  3. Mokdad A, Serdula M, Dietz W, Bowman B, Marks J, Koplan J . The spread of the obesity epidemic in the United States, 1991–1998 JAMA 1999 282 (6): 1519–1522.

    CAS  Article  Google Scholar 

  4. Bennett N, Dodd T, Flatley J, Freeth S, Bolling K . Health survey for England 1993 HMSO: London 1995

    Google Scholar 

  5. Australian Bureau of Statistics. National Nutrition Survey: User's Guide, 1995 Catalogue no. 4801.0 Australian Bureau of Statistics: Canberra 1998

  6. Bennett SA, Magnus P . Trends in cardiovascular risk factors in Australia: results from the National Heart Foundation's Risk Factor Prevalence Study, 1980–1989 Med J Am 1994 161: 519–527.

    CAS  Google Scholar 

  7. Hill JO, Melanson EL . Overview of the determinants of overweight and obesity: current evidence and research issues Med Sci Sports Exerc 1999 31 (11): S515–S521.

    CAS  Article  Google Scholar 

  8. St Jeor ST, Brunner RL, Harrington ME, Scott BJ, Cutter GR, Brownell KD, Dyer AR, Foreyt JP . Who are the weight maintainers?? Obes Res 1995 3: S249–S259.

    Article  Google Scholar 

  9. St Jeor ST, Brunner RL, Harrington ME, Scott BJ, Daugherty SA, Cutter GR, Brownell KD, Dyer AR, Foreyt JP . A classification system to evaluate weight maintainers, gainers and losers J Am Diet Assoc 1997 97: 481–488.

    CAS  Article  Google Scholar 

  10. French SA, Jeffery RW, Folsom AR, Williamson DF, Byers T . Weight variability in a population-based sample of older women: reliability and intercorrelation of measures Int J Obes Relat Metab Disord 1995 19: 22–29.

    CAS  Google Scholar 

  11. Williamson DF, Kahn HS, Remington PL, Anda RF . The 10-year incidence of overweight and major weight gain in US adults Arch Intern Med 1990 150: 665–672.

    CAS  Article  Google Scholar 

  12. Pasman WJ, Saris WM, Westerterp-Plantanga MS . Predictors of weight maintenance Obes Res 1999 7: 43–50.

    CAS  Article  Google Scholar 

  13. US Department of Health and Human Services. Physical activity and health: a report of the Surgeon General Centers for Disease Control: Atlanta, GA 1996

  14. Brown W, Dobson A, Mishra G . What is a healthy weight range for middle aged women?? Int J Obes Relat Metab Disord 1998 22: 520–528.

    CAS  Article  Google Scholar 

  15. Parham ES . The context of weight changes: factors associated with weight changes in adult women J Am Diet Assoc 1988 88: 1539–1544.

    CAS  Google Scholar 

  16. Williamson DF . Descriptive epidemiology of body weight and weight change in US adults Ann Intern Med 1993 119: 646–649.

    CAS  Article  Google Scholar 

  17. Brown WJ, Bryson L, Byles JE, Dobson AJ, Lee C, Mishra G, Schofield M . Women's Health Australia: recruitment for a national longitudinal cohort study Women Health 1998 28: 23–40.

    CAS  Article  Google Scholar 

  18. National Health, and Medical, Research Council . Acting on Australia's weight: a strategic plan for the prevention of overweight and obesity AGPS: Canberra 1997

    Google Scholar 

  19. Lewis CE, Smith DE, Wallace DD, Williams OD, Bild DE, Jacobs DR . Seven-year trends in body weight and associations with lifestyle and behavioral characteristics in black and white young adults: the CARDIA Study Am J Pub Health 1997 87: 635–642.

    CAS  Article  Google Scholar 

  20. Brown WJ, Mishra G, Lee C, Bauman A . Leisure time physical activity in Australian women: relationships with well being and symptoms Res Q Exerc Sport 2000 71: 201–216.

    Article  Google Scholar 

  21. Jonas HA, Dobson AJ, Brown WJ . Patterns of alcohol consumption in young Australian women: socio-demographic factors, health-related behaviours and physical health Aust NZ J Pub Health 2000 24: 185–191.

    CAS  Article  Google Scholar 

  22. Jackson M, Ball K, Crawford D . Beliefs about the causes of weight change in the Australian population Int J Obes Relat Metab Disord 2001 25: 1512–1516.

    CAS  Article  Google Scholar 

  23. Brown WJ, Mishra G, Kenardy J, Dobson AJ . Relationships between body mass index and well-being in young Australian women Int J Obesity Relat Metab Disord 2000 24: 1360–1368.

    CAS  Article  Google Scholar 

  24. French SA, Harnack L, Jeffery RW . Fast food restaurant use among women in the Pound of Prevention study: dietary, behavioural and demographic correlates Int J Obes Relat Metab Disord 2000 24: 1353–1359.

    CAS  Article  Google Scholar 

  25. 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 Pub Health 2000 24: 96–99.

    CAS  Article  Google Scholar 

  26. Wing R . Weight cycling in humans: a review of the literature Ann Beh Med 1992 14: 113–119.

    Google Scholar 

  27. Kajioka T, Tsuzuku S, Shimokata H, Sato Y . Effects of intentional weight cycling on non-obese young women Metabolism 2002 51 (2): 149–154.

    CAS  Article  Google Scholar 

  28. Olson MB, Kelsey SF, Bittner V, Reis SE, Reichek N, Handberg EM, Merz CN . Weight cycling and high-density lipoprotein cholesterol in women: evidence of an adverse effect: a report from the NHLBI-sponsored WISE study. Women's Ischemia Syndrome Evaluation Study Group J Am Coll Cardiol 2000 36 (5): 1565–1571.

    CAS  Article  Google Scholar 

  29. Australian Bureau of Statistics. National Health Survey: Users Guide Catalogue no. 4363.0 Australian Bureau of Statistics: Canberra 1995

  30. Mokdad AH, Serdula MK, Dietz WH, Bowman BA, Marks JS, Kaplan JP . The continuing epidemic of obesity in the United States JAMA 2000 284 (13): 1605–1608.

    Article  Google Scholar 

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The research on which this paper is based was conducted as part of the Australian Longitudinal Study on Women's Health (Women's Health Australia). We are grateful to the Australian Commonwealth Department of Health and Ageing for funding.

Kylie Ball is supported by a Public Health Postdoctoral Research Fellowship from the National Health and Medical Research Council, ID 136925. Dr David Crawford is supported by a Career Development Award funded jointly by the National Health and Medical Research Council and National Heart Foundation of Australia.

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Ball, K., Brown, W. & Crawford, D. Who does not gain weight? Prevalence and predictors of weight maintenance in young women. Int J Obes 26, 1570–1578 (2002).

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  • weight maintenance
  • weight gain
  • prevalence
  • diet
  • sedentary behaviour

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