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Quality of Life Research
Gepubliceerd in:

01-10-2016

Assessing long-term QALYs gain from averting and reversing overweight and obesity in childhood

Auteur: Win Techakehakij

Gepubliceerd in: Quality of Life Research | Uitgave 10/2016

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Abstract

Background

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.

Methods

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.

Results

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.

Conclusions

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.
vorige artikel Eating disorder features and quality of life: Does gender matter?
volgende artikel The relative impact of chronic conditions and multimorbidity on health-related quality of life in Ontario long-stay home care clients
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Literatuur
1.
2.
Reilly, J. J., Methven, E., McDowell, Z. C., Hacking, B., Alexander, D., Stewart, L., & Kelnar, C. J. H. (2003). Health consequences of obesity. Archives of Disease in Childhood, 88(9), 748–752.CrossRefPubMedPubMedCentral
3.
Puhl, R., & Latner, J. (2007). Stigma, obesity, and the health of the nation’s children. Psychological Bulletin, 133(4), 557.CrossRefPubMed
4.
Deckelbaum, R. J., & Williams, C. L. (2001). Childhood obesity: The health issue. Obesity Research, 9(S11), 239S–243S.CrossRefPubMed
5.
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
6.
The Comptroller and Auditor General. (2001). Tackling Obesity in England: National Audit Office.
7.
Ells, L. J., Lang, R., Shield, J. P., Wilkinson, J. R., Lidstone, J. S., Coulton, S., & Summerbell, C. D. (2006). Obesity and disability—A short review. Obesity Reviews, 7(4), 341–345.CrossRefPubMed
8.
Flegal, K. M., Kit, B. K., Orpana, H., & Graubard, B. I. (2013). Association of all-cause mortality with overweight and obesity using standard body mass index categories: A systematic review and meta-analysis. JAMA, 309(1), 71–82.CrossRefPubMedPubMedCentral
9.
Flegal, K. M., Graubard, B. I., Williamson, D. F., & Gail, M. H. (2005). Excess deaths associated with underweight, overweight, and obesity. JAMA, 293(15), 1861–1867.CrossRefPubMed
10.
11.
Sach, T. H., Barton, G. R., Doherty, M., Muir, K. R., Jenkinson, C., & Avery, A. J. (2006). The relationship between body mass index and health-related quality of life: Comparing the EQ-5D, EuroQol VAS and SF-6D. International Journal of Obesity, 31(1), 189–196.CrossRefPubMed
12.
Wang, L. Y., Denniston, M., Lee, S., Galuska, D., & Lowry, R. (2010). Long-term health and economic impact of preventing and reducing overweight and obesity in adolescence. Journal of Adolescent Health, 46(5), 467–473.CrossRefPubMed
13.
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.
14.
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
15.
16.
Withrow, D., & Alter, D. A. (2011). The economic burden of obesity worldwide: A systematic review of the direct costs of obesity. Obesity Reviews, 12(2), 131–141.CrossRefPubMed
17.
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.
18.
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
19.
Tsai, A. G., Williamson, D. F., & Glick, H. A. (2011). Direct medical cost of overweight and obesity in the USA: A quantitative systematic review. Obesity Reviews, 12(1), 50–61.CrossRefPubMedPubMedCentral
20.
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.
21.
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.
22.
Johns, B., Baltussen, R., & Hutubessy, R. (2003). Programme costs in the economic evaluation of health interventions. Cost Effectiveness and Resource Allocation, 1(1), 1.CrossRefPubMedPubMedCentral
23.
24.
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.
25.
Gold, M. R., Siegel, J. E., Russell, L. B., & Weinstein, M. C. (1996). Cost-effectiveness in health and medicine. New York: Oxford University Press.
26.
27.
28.
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
29.
30.
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
31.
32.
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
33.
34.
35.
Cole, T. J., Bellizzi, M. C., Flegal, K. M., & Dietz, W. H. (2000). Establishing a standard definition for child overweight and obesity worldwide: International survey. British Medical Journal, 320(7244), 1240.CrossRefPubMedPubMedCentral
36.
NHESO. (2009). National Health Examination Survey 4 (Child health).
37.
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
38.
Wang, L. Y., Yang, Q., Lowry, R., & Wechsler, H. (2003). Economic analysis of a school-based obesity prevention program. Obesity Research, 11(11), 1313–1324.CrossRefPubMed
39.
Brown, H. S., Perez, A., Li, Y.-P., Hoelscher, D., Kelder, S., & Rivera, R. (2007). The cost-effectiveness of a school-based overweight program. International Journal of Behavioral Nutrition and Physical Activity, 4(1), 47.CrossRefPubMedPubMedCentral
40.
Braddon, F. E., Rodgers, B., Wadsworth, M. E., & Davies, J. M. (1986). Onset of obesity in a 36 year birth cohort study. British Medical Journal, 293(6542), 299.CrossRefPubMedPubMedCentral
41.
Freedman, D. S., Khan, L. K., Dietz, W. H., Srinivasan, S. R., & Berenson, G. S. (2001). Relationship of childhood obesity to coronary heart disease risk factors in adulthood: The Bogalusa Heart Study. Pediatrics, 108(3), 712.CrossRefPubMed
42.
World Health Organization. (2013). Life expectancy: Life tables Thailand. Retrieved 2 October, 2013.
43.
Briggs, A., Sculpher, M., & Claxton, K. (2011). Decision modelling for health economic evaluation. Oxford University Press: Oxford.
44.
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
45.
NHESO. (2009). National Health Examination Survey 4: National Health Examination Survey Office.
46.
StataCorp, L. (2013). Stata statistical software: Release 13. College Station, TX: StataCorp LP.
47.
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
48.
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
49.
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
50.
Metagegevens
Titel
Assessing long-term QALYs gain from averting and reversing overweight and obesity in childhood
Auteur
Win Techakehakij
Publicatiedatum
01-10-2016
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 10/2016
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-016-1285-7

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