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BMC Pediatrics
Published in: BMC Pediatrics 1/2015

Open Access 01-12-2015 | Research article

Is utility-based quality of life associated with overweight in children? Evidence from the UK WAVES randomised controlled study

Authors: Emma J. Frew, Miranda Pallan, Emma Lancashire, Karla Hemming, Peymane Adab, on behalf of the WAVES Study co-investigators

Published in: BMC Pediatrics | Issue 1/2015

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Abstract

Background

Quality-Adjusted Life Years (QALYs) are often used to make judgements about the relative cost-effectiveness of competing interventions and require an understanding of the relationship between health and health-related quality of life (HRQOL) when measured in utility terms. There is a dearth of information in the literature concerning how childhood overweight is associated with quality of life when this is measured using utilities. This study explores how weight is associated with utility-based HRQOL in 5–6 year olds and examines the psychometric properties of a newly developed pediatric utility measure – the CHU9D instrument.

Methods

Weight and HRQOL were examined using data collected from 1334 children recruited within a UK randomised controlled trial (WAVES) (ISRCTN97000586). Utility-based HRQOL was measured using the CHU9D, and general HRQOL measured using the PedsQL instrument. The association between weight and HRQOL was examined through a series of descriptive and multivariate analysis. The construct validity of the CHU9D was further assessed in relation to weight status, in direct comparison to the PedsQL instrument.

Results

The HRQOL of children who were either overweight or obese was not statistically different from children who were healthy or underweight. This result was the same for when HRQOL was measured in utility terms using the CHU9D instrument, and in general terms using the PedsQL instrument. Furthermore, the results support the construct validity of the newly developed CHU9D as the PedsQL total HRQOL scores corresponded well with the individual CHU9D dimensions.

Conclusion

At age 5–6 years, the inverse association between overweight and HRQOL is not being captured by either the utility-based CHU9D instrument nor the PedsQL instrument. This result has implications for how the cost-effectiveness of childhood obesity interventions is measured in children aged 5–6 years.

Trial registration

ISRCTN Registry: ISRCTN97000586 19th May 2010.
Literature
1.
2.
Lobstein T, Baur L, Uauy R. Obesity in children and young people: a crisis in public health. Obes Rev. 2004;5(Suppl):4–85.CrossRefPubMed
3.
Singh AS, Mulder C, Twisk JWR, van Mechelen W, Chinapaw MJM. Tracking of childhood overweight into adulthood: a systematic review of the literature. Obes Rev. 2008;9:474–88.CrossRefPubMed
4.
5.
6.
Waters E, De Silva-Sanigorski A, Hall BJ, Brown T, Campbell TJ, Gao Y et al. Interventions for preventing obesity in children (Review). Cochrane Database Syst Rev. 2011;7(12):CD001871. doi:10.​1002/​14651858.​CD001871.​pub3.
7.
Doll HA, Petersen SEK, Stewart-Brown SL. Obesity and physical and emotional well-being: associations between body mass index, chronic illness, and the physical and mental components of the SF-36 questionnaire. Obes Res. 2000;8:160–70.CrossRefPubMed
8.
Fine JT, Colditz GA, Coakley EH, Moseley G, Willet WC, Kawachi I. A prospective study of weight change and health-related quality of life. JAMA. 1999;282:2136–42.CrossRefPubMed
9.
10.
Jia H, Lubetkin EI. The impact of obesity on health related quality of life in the general adult US population. J Public Health. 2005;27:156–64.CrossRef
11.
Lean ME, Han TS, Seidell JC. Impairment of health and quality of life in people with large waist circumference. Lancet. 1998;351:853–6.CrossRefPubMed
12.
Griffiths LPT, Hill AJ. Self-esteem and quality of life in obese children and adolescents: A systematic review. Int J Pediatr Obes. 2010;5:282–304.CrossRefPubMed
13.
Swallen KC, Reither EN, Haas SA, Meier AM. Overweight, obesity, and health-related quality of life among adolescents: the National Longitudinal Study of Adolescent Health. BMC Public Health. 2012;12:997.CrossRef
14.
Wallandar JL, Kerbawy S, Toomey S, Lowry R, Elliot MN, Escobar-Chaves SL, et al. Is obesity associated with reduced health-related quality of life in Latino, Black and White children in the community? Int J Obes. 2013;37:920–5.CrossRef
15.
16.
Neumann P. Greenberg: Is the United States ready for QALYs? Health Aff. 2009;28:1366–71.CrossRef
17.
Whitehead SJ, Ali S. Health outcomes in economic evaluation: the QALY and utilities. Br Med Bull. 2010;96:5–21.CrossRefPubMed
18.
Canaway A, Frew E. Is utility-based quality of life in children aged 6–7 years affected by Body Mass Index (BMI)? International Journal of Obesity. 2014;38:1146. doi:10.​1038/​ijo.​2013.​219.
19.
Ungar W. Economic evaluation in child health. Oxford: Oxford University Press; 2010.
20.
Stevens KJ. Working with children to develop dimensions for a preference-based, generic, pediatric health-related quality of life measure. Qual Health Res. 2010;20:340–51.CrossRefPubMed
21.
Stevens KJ. Assessing the performance of a new generic measure of health realted quality of life for children and refining it for use in health state valuation. Appl Health Econ Health Policy. 2011;9:157–69.CrossRefPubMed
22.
Ratcliffe J, Stevens K, Flynn T, Brazier J, Sawyer M. An assessment of the construct validity of the CHU9D in the Australian adolescent general population. Qual Life Res. 2012;21:717–25.CrossRefPubMed
23.
Stevens K, Ratcliffe J. Measuring and valuing health benefits for economic evaluation in adolescence: an assessment of the practicality and validity of the Child Health Utility 9D in the Australian adolescent population. Value Health. 2012;15:1092–9.CrossRefPubMed
24.
25.
Varni JW, Seid M, Rode CA. The PedsQL measurement model for the pediatric quality of life inventory. Medical Care. 1999;37(2):126-139.
26.
27.
28.
29.
30.
Canaway A, Frew E. Measuring preference based quality of life in children aged 6–7 years: A comparison of the performance of CHU-9D and EQ-5D-Y. The WAVES pilot study. Qual Life Res. 2014;22:173–82.CrossRef
31.
32.
Varni JW, Seid M, Rode CA. The Peds QL Measurement Model for the Pediatric Quality of Life Inventory. Med Care. 1999;37:126–39.CrossRefPubMed
33.
Varni JW, Seid M, Murtin PS. PedsQL 4.0: reliability and validity of the pediatric quality of life inventory version 4.0 generic core scales in healthy and patient populations. Med Care. 2001;39:800–12.CrossRefPubMed
34.
Varni JW, Burwinkle TM, Katz ER, Meeske K, Dickinson P. The PedsQL in pediatric cancer: reliability and validity of the pediatric quality of life inventory generic core scales, multidimensional fatigue scale, and cancer module. Cancer. 2002;94(7):2090–106.CrossRefPubMed
35.
Varni JW, Seid M, Knight TS, Burwinkle TM, Brown J, Szer IS. The PedsQL in pediatric rheumatology: reliability, validity, and responsiveness of the pediatric quality of life inventory generic core scales and rheumatology module. Arthritis Rheum. 2002;46:714–25.CrossRefPubMed
36.
37.
Belfort M, Zupancic J, Riera K, Runer J, Prosser L: Health state preferences associated with weight status in children and adolescents. BMC Pediatrics 2011, 11: doi:10.​1186/​1471-2431-11-12
38.
Boyle S, Jones GL, Walters SJ. Physical activity, quality of life, weight status and diet in adolescents. Qual Life Res. 2010;19:943–54.CrossRefPubMed
39.
Chen G, Ratcliffe J, Olds T, Magarey A, Jones M, Leslie E: BMI, Health Behaviors, and Quality of Life in Children and Adolescents: A School-Based Study. Pediatrics 2014, 133: doi:10.​1542/​peds.​2013-0622
Metadata
Title
Is utility-based quality of life associated with overweight in children? Evidence from the UK WAVES randomised controlled study
Authors
Emma J. Frew
Miranda Pallan
Emma Lancashire
Karla Hemming
Peymane Adab
on behalf of the WAVES Study co-investigators
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Pediatrics / Issue 1/2015
Electronic ISSN: 1471-2431
DOI
https://doi.org/10.1186/s12887-015-0526-1

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