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Modeling Obesity in Norway (The MOON Study): A Decision-Analytic Approach—Prevalence, Costs, and Years of Life Lost

Author

Listed:
  • Gudrun M. W. Bjørnelv

    (Regional Centre for Health Care Development, St. Olavs Hospital, Trondheim, Norway
    Department of Public Health and Nursing, NTNU, Trondheim, Norway)

  • Vidar Halsteinli

    (Regional Centre for Health Care Development, St. Olavs Hospital, Trondheim, Norway
    Department of Public Health and Nursing, NTNU, Trondheim, Norway)

  • BÃ¥rd E. Kulseng

    (Regional Center for Obesity Research and Innovation, Department of Surgery, St. Olavs Hospital, Trondheim, Norway
    Department of Clinical Molecular Medicine, NTNU, Trondheim, Norway)

  • Diana Sonntag

    (Mannheim Institute of Public Health, Social and Preventive Medicine, Mannheim Medical Faculty of the Heidelberg University, Mannheim, Germany
    Department of Health Sciences, University of York, UK)

  • Rønnaug A. Ødegaard

    (Regional Center for Obesity Research and Innovation, Department of Surgery, St. Olavs Hospital, Trondheim, Norway
    Department of Clinical Molecular Medicine, NTNU, Trondheim, Norway)

Abstract

Background Limited knowledge exists on the expected long-term effects and cost-effectiveness of initiatives aiming to reduce the burden of obesity. Aim To develop a Norwegian obesity-focused disease-simulation model: the MOON model. Material and Methods We developed a Markov model and simulated a Norwegian birth cohort’s movement between the health states “normal weight,†“overweight,†“obese 1,†“obese 2,†and “dead†using a lifetime perspective. Model input was estimated using longitudinal data from health surveys and real-world data (RWD) from local and national registers ( N = 99,348). The model is deterministic and probabilistic and stratified by gender. Model validity was assessed by estimating the cohort’s expected prevalence, health care costs, and mortality related to overweight and obesity. Results Throughout the cohort’s life, the prevalence of overweight increased steadily and stabilized at 45% at 45 y of age. The number of obese 1 and 2 individuals peaked at age 75 y, when 44% of women and 35% of men were obese. The incremental costs per person associated with obesity was highest in older ages and, when accumulated over the lifetime, higher among women (€12,118, €9,495–€15,047) than men (€6,646, €5,252–€10,900). On average, obesity shortened the life expectancy of women/men in the whole cohort by 1.31/1.08 y. The life expectancy for normal-weight women/men at age 30 was 83.31/80.31. The life expectancy was reduced by 1.05/0.65 y if the individual was overweight, obese (2.87/2.71 y), or obese 2 (4.06/4.83 y). Conclusion The high expected prevalence of obesity in the future will lead to substantial health care costs and large losses in life-years. This underscores the need to implement interventions to reduce the burden of obesity; the MOON model will enable economic evaluations for a wide range of interventions.

Suggested Citation

  • Gudrun M. W. Bjørnelv & Vidar Halsteinli & BÃ¥rd E. Kulseng & Diana Sonntag & Rønnaug A. Ødegaard, 2021. "Modeling Obesity in Norway (The MOON Study): A Decision-Analytic Approach—Prevalence, Costs, and Years of Life Lost," Medical Decision Making, , vol. 41(1), pages 21-36, January.
  • Handle: RePEc:sae:medema:v:41:y:2021:i:1:p:21-36
    DOI: 10.1177/0272989X20971589
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    References listed on IDEAS

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    3. Alastair Canaway & Emma Frew & Emma Lancashire & Miranda Pallan & Karla Hemming & Peymane Adab & on behalf of the WAVES trial investigators, 2019. "Economic evaluation of a childhood obesity prevention programme for children: Results from the WAVES cluster randomised controlled trial conducted in schools," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-14, July.
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