IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v41y2021i1p21-36.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X20971589
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0272989X20971589?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Cawley, John, 2015. "An economy of scales: A selective review of obesity's economic causes, consequences, and solutions," Journal of Health Economics, Elsevier, vol. 43(C), pages 244-268.
    2. Franco Sassi & Michele Cecchini & Jeremy Lauer & Dan Chisholm, 2009. "Improving Lifestyles, Tackling Obesity: The Health and Economic Impact of Prevention Strategies," OECD Health Working Papers 48, OECD Publishing.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Giuntella, Osea & Rieger, Matthias & Rotunno, Lorenzo, 2020. "Weight gains from trade in foods: Evidence from Mexico," Journal of International Economics, Elsevier, vol. 122(C).
    2. Eugenio Zucchelli & Andrew M Jones & Nigel Rice, 2012. "The evaluation of health policies through dynamic microsimulation methods," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 2-20.
    3. Anthony M Yezer & Stephen J Popick, 2017. "Climate Preferences, Obesity, and Unobserved Heterogeneity in Cities," The Review of Regional Studies, Southern Regional Science Association, vol. 47(3), pages 309-329, Fall.
    4. Valentina Alvarez-Saavedra & Pierre Levasseur & Suneha Seetahul, 2022. "The role of gender inequality in the obesity epidemic: A case study from India," Working Papers hal-03744694, HAL.
    5. Nguyen, Trang & de Brauw, Alan & van den Berg, Marrit, 2022. "Sweet or not: Using information and cognitive dissonance to nudge children toward healthier food choices," Economics & Human Biology, Elsevier, vol. 47(C).
    6. Valentina Alvarez-Saavedra à & Pierre Levasseur & Suneha Seetahul, 2023. "The Role of Gender Inequality in the Obesity Epidemic: A Case Study from India," Post-Print hal-04051768, HAL.
    7. Belot, Michèle & James, Jonathan & Nolen, Patrick, 2016. "Incentives and children's dietary choices: A field experiment in primary schools," Journal of Health Economics, Elsevier, vol. 50(C), pages 213-229.
    8. Scott A. Carson, 2021. "Omitting the Obvious: Cohort Effects in 19th and 20th Century BMI Variation," CESifo Working Paper Series 8817, CESifo.
    9. Paolo Nicola Barbieri, 2022. "Social distortion in weight perception: a decomposition of the obesity epidemic," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(2), pages 685-713, July.
    10. Zarko Kalamov, 2020. "A sales tax is better at promoting healthy diets than the fat tax and the thin subsidy," Health Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 353-366, March.
    11. Dixon, Padraig & Hollingworth, William & Harrison, Sean & Davies, Neil M. & Davey Smith, George, 2020. "Mendelian Randomization analysis of the causal effect of adiposity on hospital costs," Journal of Health Economics, Elsevier, vol. 70(C).
    12. Nancy Kong & Weina Zhou, 2021. "The curse of modernization? Western fast food and Chinese children's weight," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2345-2366, September.
    13. Kristjana Baldursdottir & Paul McNamee & Edward C. Norton & Tinna Laufey Asgeirsdottir, 2023. "Life satisfaction and body mass index: estimating the monetary value of achieving optimal body weight," Review of Economics of the Household, Springer, vol. 21(4), pages 1215-1246, December.
    14. Raphael Bergoeing & Facundo Piguillem, 2018. "Cooperatives vs Traditional Banks: The impact of Interbank Market Exclusion," Documentos de Trabajo 338, Centro de Economía Aplicada, Universidad de Chile.
    15. Bancalari, Antonella & Berlinski, Samuel & Buitrago, Giancarlo & García, María Fernanda & Mata, Dolores de la & Vera-Hernández, Marcos, 2023. "Health Inequalities in Latin American and the Caribbean: Child, Adolescent, Reproductive, Metabolic Syndrome and Mental Health," IDB Publications (Working Papers) 13158, Inter-American Development Bank.
    16. Edberg, Dana & Mukhopadhyay, Sankar & Wendel, Jeanne, 2019. "Incentive design to boost health for juveniles with Medicaid coverage: Evidence from a field experiment," Economics & Human Biology, Elsevier, vol. 33(C), pages 101-115.
    17. Adriana Barone & Cristian Barra, 2022. "Weight Status and Depression in Italy: Evidence from the Second Wave of the European Health Interview Survey," Journal of Interdisciplinary Economics, , vol. 34(2), pages 193-227, July.
    18. John Cawley & Alex Susskind & Barton Willage, 2020. "The Impact of Information Disclosure on Consumer Behavior: Evidence from a Randomized Field Experiment of Calorie Labels on Restaurant Menus," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(4), pages 1020-1042, September.
    19. Mukhopadhyay, Sankar, 2021. "Do employers discriminate against obese employees? Evidence from individuals who are simultaneously self-employed and working for an employer," Economics & Human Biology, Elsevier, vol. 42(C).
    20. Principe, Francesco & Carrieri, Vincenzo, 2020. "Health's kitchen: TV, edutainment and nutrition," Ruhr Economic Papers 883, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:medema:v:41:y:2021:i:1:p:21-36. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.