IDEAS home Printed from https://ideas.repec.org/a/spr/aphecp/v10y2012i6p417-430.html
   My bibliography  Save this article

Healthcare Costs Associated with Change in Body Mass Index in Patients with Type 2 Diabetes Mellitus in Spain

Author

Listed:
  • Tatiana Dilla
  • Amparo Valladares
  • Claudia Nicolay
  • Javier Salvador
  • Jesús Reviriego
  • María Costi

Abstract

Background: Weight management is considered a key therapeutic strategy in type 2 diabetes mellitus. However, little is known about the impact of weight loss or body mass index (BMI) reduction on type 2 diabetes-related healthcare costs. Objective: The aim of this study was to estimate the economic impact of change in BMI among patients with type 2 diabetes mellitus from the Spanish healthcare system perspective. Methods: The ECOBIM study is an observational, non-interventional study in which data on BMI change and costs incurred by patients with type 2 diabetes were collected cross-sectionally and retrospectively for a 12-month period. Generalized linear mixed models were applied to estimate the effects of (i) BMI change in general (one-slope model); (ii) BMI gain and no BMI gain (two-slope model); and (iii) BMI gain and no BMI gain among obese and non-obese patients (four-slope model). Results: We studied 738 patients with a mean (SD) age of 66 (11) years and BMI of 30.6 (5.2) kg/m 2 . During the 12-month study period, 41.2% of patients gained BMI (BMI gainers) and 58.8% experienced either loss (52.2%) or no change (6.6%) in BMI (non-BMI gainers). One-unit gain (or loss) in BMI was significantly (p>0.001) associated with a 2.4% cost increase (or decrease) [one-slope model]. Every unit gain in BMI was associated with a 20.0% increase in costs among BMI gainers while losing one unit was associated with an 8.0% decrease in costs among non-BMI gainers (two-slope model, p>0.01). The economic benefit associated with reducing one BMI unit was 9.4% cost decrease in obese and 2.7% in non-obese patients (4-slope model). Conclusion: An increase in BMI among patients with type 2 diabetes was associated with increased 1-year direct healthcare costs. A reduction in BMI was associated with appreciable short-term economic benefits, especially in obese patients. Copyright Springer International Publishing AG 2012

Suggested Citation

  • Tatiana Dilla & Amparo Valladares & Claudia Nicolay & Javier Salvador & Jesús Reviriego & María Costi, 2012. "Healthcare Costs Associated with Change in Body Mass Index in Patients with Type 2 Diabetes Mellitus in Spain," Applied Health Economics and Health Policy, Springer, vol. 10(6), pages 417-430, November.
  • Handle: RePEc:spr:aphecp:v:10:y:2012:i:6:p:417-430
    DOI: 10.1007/BF03261876
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF03261876
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF03261876?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anirban Basu & Willard G. Manning & John Mullahy, 2004. "Comparing alternative models: log vs Cox proportional hazard?," Health Economics, John Wiley & Sons, Ltd., vol. 13(8), pages 749-765, August.
    2. Miguel Ballesta & Florentino Carral & Gabriel Olveira & José Girón & Manuel Aguilar, 2006. "Economic cost associated with type II diabetes in Spanish patients," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 7(4), pages 270-275, December.
    3. Oster, G. & Thompson, D. & Edelsberg, J. & Bird, A.P. & Colditz, G.A., 1999. "Lifetime health and economic benefits of weight loss among obese persons," American Journal of Public Health, American Public Health Association, vol. 89(10), pages 1536-1542.
    4. Molina, Begoña & Monereo, Susana, 2003. "Direct healthcare costs of diabetes mellitus patients in Spain," UC3M Working papers. Economics we036827, Universidad Carlos III de Madrid. Departamento de Economía.
    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. Joseph F. Levy & Marjorie A. Rosenberg, 2019. "A Latent Class Approach to Modeling Trajectories of Health Care Cost in Pediatric Cystic Fibrosis," Medical Decision Making, , vol. 39(5), pages 593-604, July.
    2. Greta Lozano-Ortega & Carol R. Schermer & David R. Walker & Shelagh M. Szabo & Basia Rogula & Alison M. Deighton & Katherine L. Gooch & Noll L. Campbell, 2021. "Fall/Fracture-Related Healthcare Costs and Their Association with Cumulative Anticholinergic Burden in People with Overactive Bladder," PharmacoEconomics - Open, Springer, vol. 5(1), pages 45-55, March.
    3. Mandy Ryan & Emmanouil Mentzakis & Catriona Matheson & Christine Bond, 2020. "Survey modes comparison in contingent valuation: Internet panels and mail surveys," Health Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 234-242, February.
    4. Till Seuring & Olga Archangelidi & Marc Suhrcke, 2015. "The Economic Costs of Type 2 Diabetes: A Global Systematic Review," PharmacoEconomics, Springer, vol. 33(8), pages 811-831, August.
    5. Manning, Willard G. & Basu, Anirban & Mullahy, John, 2005. "Generalized modeling approaches to risk adjustment of skewed outcomes data," Journal of Health Economics, Elsevier, vol. 24(3), pages 465-488, May.
    6. Thompson, Simon G. & Nixon, Richard M. & Grieve, Richard, 2006. "Addressing the issues that arise in analysing multicentre cost data, with application to a multinational study," Journal of Health Economics, Elsevier, vol. 25(6), pages 1015-1028, November.
    7. Anirban Basu & James J. Heckman & Salvador Navarro-Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self-selection: an application to treatments of breast cancer patients," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1133-1157.
    8. Cawley, John & Meyerhoefer, Chad, 2012. "The medical care costs of obesity: An instrumental variables approach," Journal of Health Economics, Elsevier, vol. 31(1), pages 219-230.
    9. Law, Michael R. & Grépin, Karen A., 2010. "Is newer always better? Re-evaluating the benefits of newer pharmaceuticals," Journal of Health Economics, Elsevier, vol. 29(5), pages 743-750, September.
    10. John Mullahy, 2015. "In Memoriam: Willard G. Manning, 1946‐2014," Health Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 253-257, March.
    11. David Nathanson & Ugne Sabale & Jan W. Eriksson & Thomas Nyström & Anna Norhammar & Urban Olsson & Johan Bodegård, 2018. "Healthcare Cost Development in a Type 2 Diabetes Patient Population on Glucose-Lowering Drug Treatment: A Nationwide Observational Study 2006–2014," PharmacoEconomics - Open, Springer, vol. 2(4), pages 393-402, December.
    12. Stargardt, Tom & Schreyögg, Jonas, 2012. "A framework to evaluate the effects of small area variations in healthcare infrastructure on diagnostics and patient outcomes of rare diseases based on administrative data," Health Policy, Elsevier, vol. 105(2), pages 110-118.
    13. Manos Matsaganis & Theodore Mitrakos & Panos Tsakloglou, 2008. "Modelling Household Expenditure on Health Care in Greece," Working Papers 68, Bank of Greece.
    14. Mehdi Javanbakht & Hamid R Baradaran & Atefeh Mashayekhi & Ali Akbar Haghdoost & Mohammad E Khamseh & Erfan Kharazmi & Aboozar Sadeghi, 2011. "Cost-of-Illness Analysis of Type 2 Diabetes Mellitus in Iran," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-7, October.
    15. Smith, William C. & Anderson, Emily & Salinas, Daniel & Horvatek, Renata & Baker, David P., 2015. "A meta-analysis of education effects on chronic disease: The causal dynamics of the Population Education Transition Curve," Social Science & Medicine, Elsevier, vol. 127(C), pages 29-40.
    16. Jones, A. & Lomas, J. & Rice, N., 2014. "Going Beyond the Mean in Healthcare Cost Regressions: a Comparison of Methods for Estimating the Full Conditional Distribution," Health, Econometrics and Data Group (HEDG) Working Papers 14/26, HEDG, c/o Department of Economics, University of York.
    17. Manos Matsaganis & Theodore Mitrakos & Panos Tsakloglou, 2009. "Modelling health expenditure at the household level in Greece," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 10(3), pages 329-336, July.
    18. Kasteridis, Panagiotis & Rice, Nigel & Santos, Rita, 2022. "Heterogeneity in end of life health care expenditure trajectory profiles," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 221-251.
    19. Amal Malehi & Fatemeh Pourmotahari & Kambiz Angali, 2015. "Statistical models for the analysis of skewed healthcare cost data: a simulation study," Health Economics Review, Springer, vol. 5(1), pages 1-16, December.
    20. Knai, Cecile & Suhrcke, Marc & Lobstein, Tim, 2007. "Obesity in Eastern Europe: An overview of its health and economic implications," Economics & Human Biology, Elsevier, vol. 5(3), pages 392-408, December.

    More about this item

    Statistics

    Access and download statistics

    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:spr:aphecp:v:10:y:2012:i:6:p:417-430. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.