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The online version of this article (doi:10.1007/s11136-016-1285-7) contains supplementary material, which is available to authorized users.
Interventions to tackle childhood obesity have been devised in response to the rising prevalence of childhood obesity. However, efficiency of these interventions remains a concern. Cost-utility analysis, representing health benefits in terms of quality-adjusted life years (QALYs), is a type of economic evaluation that has widely been recommended in assessing efficiency of health interventions. However, certain limitations in using QALYs remain specifically difficult in QALYs estimation. This study estimates the long-term QALYs gain from reversing childhood obesity in Thailand.
An economic model was developed to estimate long-term QALYs of the youth aged 3–18 for the BMI status in childhood, which were categorized into three groups: normal weight, overweight, and obese. Long-term QALYs were estimated between ages 35 and 100, according to children’s age, sex, and BMI status. Differences in QALYs between BMI status groups were calculated to represent the QALYs gain for youth from reversing obesity and overweight. The future outcomes were discounted at 3 % per annum in the base-case analysis; the discount rates of 0, 1.5, 3.5, and 5 % were also applied in the sensitivity analyses.
QALYs gained from reversing childhood obesity increase with age, starting from 0.040 and 0.083 QALYs at age 3 to 0.590 and 0.553 QALYs at age 18 in boys and girls, respectively. Reversing overweight and obesity in girls produces more QALYs than in boys between ages 3 and 17.
Efficiency is an important issue in allocating public healthcare resources to maximize social benefits. The results of this study facilitate long-term QALYs estimation with respect to BMI status in childhood, which could encourage more routine economic evaluation of child obesity interventions and maximize their health benefits.
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Lloyd, L. J., Langley-Evans, S. C., & McMullen, S. (2010). Childhood obesity and adult cardiovascular disease risk: A systematic review. International Journal of Obesity (London), 34(1), 18–28. CrossRef
The Comptroller and Auditor General. (2001). Tackling Obesity in England: National Audit Office.
Thavorncharoensap, M., Suksomboon, N., Suriyawongpaisarn, P., Yothasamut, J., Aekplakorn, W., & Teerawattananon, Y. (2011). Impact of obesity on economics and quality of life in Thailand (Thai). HITAP.
John, J., Wenig, C. M., & Wolfenstetter, S. B. (2010). Recent economic findings on childhood obesity: Cost-of-illness and cost-effectiveness of interventions. Current Opinion in Clinical Nutrition & Metabolic Care, 13(3), 305–313. CrossRef
Finkelstein, E. A., Fiebelkorn, I. C., & Wang, G. (2003). National medical spending attributable to overweight and obesity: How much, and who’s paying. Health Affairs, Suppl Web Exclusives(1), W3-219–W3–226.
Detournay, B., Fagnani, F., Phillippo, M., Pribil, C., Charles, M., Sermet, C., et al. (2000). Obesity morbidity and health care costs in France: An analysis of the 1991–1992 Medical Care Household Survey. International Journal of Obesity and Related Metabolic Disorders: Journal of the International Association for the Study of Obesity, 24(2), 151. CrossRef
Oude Luttikhuis, H., Baur, L., Jansen, H., Shrewsbury, V. A., O’Malley, C., Stolk, R. P., & Summerbell, C. D. (2009). Interventions for treating obesity in children. Cochrane Database Systematic Reviews, 1, CD001872.
Summerbell, C. D., Waters, E., Edmunds, L. D., Kelly, S., Brown, T., & Campbell, K. J. (2005). Interventions for preventing obesity in children. Cochrane Database Systematic Reviews, 3, CD001871.
Kelly, M. P., McDaid, D., Ludbrook, A., & Powell, J. (2005). Economic appraisal of public health interventions. http://www.cawt.com/Site/11/Documents/Publications/Population%20Health/Economics%20of%20Health%20Improvement/Economic_appraisal_of_public_health_interventions.pdf.
Drummond, M. F., Sculpher, M. J., Torrance, G. W., O’Brien, B. J., & Stoddart, G. L. (2005). Methods for the economic evaluation of health care programmes. Oxford: Oxford University Press.
Gold, M. R., Siegel, J. E., Russell, L. B., & Weinstein, M. C. (1996). Cost-effectiveness in health and medicine. New York: Oxford University Press.
International Society for Pharmacoeconomics and Outcomes Research. (2016). Pharmacoeconomic Guidelines Around The World. http://www.ispor.org/peguidelines/index.asp.
Haby, M. M., Vos, T., Carter, R., Moodie, M., Markwick, A., Magnus, A., et al. (2006). A new approach to assessing the health benefit from obesity interventions in children and adolescents: The assessing cost-effectiveness in obesity project. International Journal of Obesity, 30(10), 1463–1475. CrossRefPubMed
Vos, T., Carter, R., Barendregt, J., Mihalopoulos, C., Veerman, L., Magnus, A., Cobiac, L., Bertram, M., & Wallace, A. (2010). Assessing cost-effectiveness in prevention. http://dro.deakin.edu.au/eserv/DU:30030306/carter-assessingcost-2010.pdf.
Gortmaker, S. L., Swinburn, B. A., Levy, D., Carter, R., Mabry, P. L., Finegood, D. T., et al. (2011). Changing the future of obesity: Science, policy, and action. The Lancet, 378(9793), 838–847. CrossRef
Techakehakij, W. (2011). The cost-effectiveness of child obesity intervention. http://etheses.whiterose.ac.uk/1936/.
WHO expert consultation. (2004). Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. The Lancet, 363(9403), 157–163. CrossRef
NICE. (2006). Obesity: The prevention, identification, assessment and management of overweight and obesity in adults and children. http://guidance.nice.org.uk/CG43/.
Centers for Disease Control and Prevention. (2009). About BMI for Children and Teens. http://www.cdc.gov/healthyweight/assessing/bmi/childrens_bmi/about_childrens_bmi.html.
NHESO. (2009). National Health Examination Survey 4 (Child health).
Guo, S., Wu, W., Chumlea, W., & Roche, A. (2002). Predicting overweight and obesity in adulthood from body mass index values in childhood and adolescence. American Journal of Clinical Nutrition, 76(3), 653. PubMed
World Health Organization. (2013). Life expectancy: Life tables Thailand. Retrieved 2 October, 2013.
Briggs, A., Sculpher, M., & Claxton, K. (2011). Decision modelling for health economic evaluation. Oxford University Press: Oxford.
Permsuwan, U., Guntawongwan, K., & Buddhawongsa, P. (2008). Handling time in economic evaluation studies. Journal of the Medical Association of Thailand, 91(2), S53–S58. PubMed
NHESO. (2009). National Health Examination Survey 4: National Health Examination Survey Office.
StataCorp, L. (2013). Stata statistical software: Release 13. College Station, TX: StataCorp LP.
Eldessouki, R., & Dix Smith, M. (2012). Health care system information sharing: A step toward better health globally. Value in Health Regional Issues, 1(1), 118–120. CrossRef
Siervogel, R. M., Wisemandle, W., Maynard, L. M., Guo, S. S., Chumlea, W., & Towne, B. (2012). Lifetime overweight status in relation to serial changes in body composition and risk factors for cardiovascular disease: The Fels Longitudinal Study. Obesity Research, 8(6), 422–430. CrossRef
Johnson, W., Soloway, L. E., Erickson, D., Choh, A. C., Lee, M., Chumlea, W. C., et al. (2012). A changing pattern of childhood BMI growth during the 20th century: 70 y of data from the Fels Longitudinal Study. The American Journal of Clinical Nutrition, 95(5), 1136–1143. CrossRefPubMedPubMedCentral
EuroQol Research Foundation. (2015). EQ-5D. http://www.euroqol.org/about-eq-5d.html.
- Assessing long-term QALYs gain from averting and reversing overweight and obesity in childhood
- Springer International Publishing