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Probability of an obese person attaining normal body weight: Cohort study using electronic health records

Author

Listed:
  • Fildes, A.
  • Charlton, J.
  • Rudisill, C.
  • Littlejohns, P.
  • Prevost, A.T.
  • Gulliford, M.C.

Abstract

Objectives. We examined the probability of an obese person attaining normal body weight. Methods. We drew a sample of individuals aged 20 years and older from the United Kingdom's Clinical Practice Research Datalink from 2004 to 2014. We analyzed data for 76 704 obese men and 99 791 obese women. We excluded participants who received bariatric surgery. We estimated the probability of attaining normal weight or 5% reduction in body weight. Results. During a maximum of 9 years' follow-up, 1283 men and 2245 women attained normal body weight. In simple obesity (body mass index = 30.0-34.9 kg/m2), the annual probability of attaining normal weight was 1 in 210 for men and 1 in 124 for women, increasing to 1 in 1290 for men and 1 in 677 for women with morbid obesity (body mass index = 40.0-44.9 kg/m2). The annual probability of achieving a 5% weight reduction was 1 in 8 for men and 1 in 7 for women with morbid obesity. Conclusions. The probability of attaining normal weight or maintaining weight loss is low. Obesity treatment frameworks grounded in community-based weight management programs may be ineffective.

Suggested Citation

  • Fildes, A. & Charlton, J. & Rudisill, C. & Littlejohns, P. & Prevost, A.T. & Gulliford, M.C., 2015. "Probability of an obese person attaining normal body weight: Cohort study using electronic health records," American Journal of Public Health, American Public Health Association, vol. 105(9), pages 54-59.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2015.302773_4
    DOI: 10.2105/AJPH.2015.302773
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    Cited by:

    1. Nisha C. Hazra & Caroline Rudisill & Martin C. Gulliford, 2019. "Developing the role of electronic health records in economic evaluation," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(8), pages 1117-1121, November.
    2. Humphreys, Brad & Ruseski, Jane & Zhou, Li, 2015. "Physical Activity, Present Bias, and Habit Formation: Theory and Evidence from Longitudinal Data," Working Papers 2015-6, University of Alberta, Department of Economics.
    3. Matthew A. Cottam & Heather L. Caslin & Nathan C. Winn & Alyssa H. Hasty, 2022. "Multiomics reveals persistence of obesity-associated immune cell phenotypes in adipose tissue during weight loss and weight regain in mice," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    4. Tara Kelly & David Unwin & Francis Finucane, 2020. "Low-Carbohydrate Diets in the Management of Obesity and Type 2 Diabetes: A Review from Clinicians Using the Approach in Practice," IJERPH, MDPI, vol. 17(7), pages 1-18, April.
    5. Lesley Cooper & Louisa Ells & Cormac Ryan & Denis Martin, 2018. "Perceptions of adults with overweight/obesity and chronic musculoskeletal pain: An interpretative phenomenological analysis," Journal of Clinical Nursing, John Wiley & Sons, vol. 27(5-6), pages 776-786, March.
    6. Ae-Kyung Chang & Sun-Hui Kim, 2022. "Predictors of Weight-Control Behavior in Healthy Weight and Overweight Korean Middle-Aged Women," IJERPH, MDPI, vol. 19(12), pages 1-11, June.
    7. Julia Carins & Sharyn Rundle-Thiele & Rimante Ronto, 2020. "Impact of Dining Hall Structural Changes on Food Choices: A Pre-Post Observational Study," IJERPH, MDPI, vol. 17(3), pages 1-15, February.
    8. Lartey, Stella T. & Si, Lei & Otahal, Petr & de Graaff, Barbara & Boateng, Godfred O. & Biritwum, Richard Berko & Minicuci, Nadia & Kowal, Paul & Magnussen, Costan G. & Palmer, Andrew J., 2020. "Annual transition probabilities of overweight and obesity in older adults: Evidence from World Health Organization Study on global AGEing and adult health," Social Science & Medicine, Elsevier, vol. 247(C).
    9. Ingrid W Leal Bezerra & António Gouveia Oliveira & Liana G B Pinheiro & Célia M M Morais & Luciano M B Sampaio, 2017. "Evaluation of the nutritional status of workers of transformation industries adherent to the Brazilian Workers’ Food Program. A comparative study," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-11, February.

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