Literature DB >> 29992501

Is there an association between early weight status and utility-based health-related quality of life in young children?

Eng Joo Tan1,2, Victoria Brown3,4,5, Stavros Petrou3,6, Mario D'Souza7,8, Marjory L Moodie3,4,5, Li Ming Wen7,3,9, Louise A Baur7,3,10, Chris Rissel7,3, Alison J Hayes7,3.   

Abstract

PURPOSE: Few studies focus on the health-related quality of life (HRQoL) of preschool children with overweight or obesity. This is relevant for evaluation of obesity prevention trials using a quality-adjusted life year (QALY) framework. This study examined the association between weight status in the preschool years and HRQoL at age 5 years, using a preference-based instrument.
METHODS: HRQoL [based on parent proxy version of the Health Utilities Index Mark 3 (HUI3)] and weight status were measured in children born in Australia between 2007 and 2009. Children's health status was scored across eight attributes of the HUI3-vision, hearing, speech, ambulation, dexterity, emotion, cognition and pain, and these were used to calculate a multi-attribute utility score. Ordinary least squares (OLS), Tobit and two-part regressions were used to model the association between weight status and multi-attribute utility.
RESULTS: Of the 368 children for whom weight status and HUI3 data were available, around 40% had overweight/obesity. After adjusting for child's sex, maternal education, marital status and household income, no significant association between weight status in the preschool years and multi-attribute utility scores at 5 years was found.
CONCLUSIONS: Alternative approaches for capturing the effects of weight status in the preschool years on preference-based HRQoL outcomes should be tested. The application of the QALY framework to economic evaluations of obesity-related interventions in young children should also consider longitudinal effects over the life-course. Clinical Trial Registration The Healthy Beginnings Trial was registered with the Australian Clinical Trial Registry (ACTRNO12607000168459).

Entities:  

Keywords:  Child health; Childhood obesity; HUI; Health-related quality of life; Obesity; Utility

Mesh:

Year:  2018        PMID: 29992501     DOI: 10.1007/s11136-018-1932-2

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  36 in total

1.  Is utility-based quality of life in children aged 6-7 years affected by Body Mass Index (BMI)?

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Journal:  Int J Obes (Lond)       Date:  2013-11-21       Impact factor: 5.095

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3.  Sustainability of Effects of an Early Childhood Obesity Prevention Trial Over Time: A Further 3-Year Follow-up of the Healthy Beginnings Trial.

Authors:  Li Ming Wen; Louise A Baur; Judy M Simpson; Huilan Xu; Alison J Hayes; Louise L Hardy; Mandy Williams; Chris Rissel
Journal:  JAMA Pediatr       Date:  2015-06       Impact factor: 16.193

Review 4.  Health consequences of obesity.

Authors:  J J Reilly; E Methven; Z C McDowell; B Hacking; D Alexander; L Stewart; C J H Kelnar
Journal:  Arch Dis Child       Date:  2003-09       Impact factor: 3.791

5.  Utility values for childhood obesity interventions: a systematic review and meta-analysis of the evidence for use in economic evaluation.

Authors:  V Brown; E J Tan; A J Hayes; S Petrou; M L Moodie
Journal:  Obes Rev       Date:  2018-01-21       Impact factor: 9.213

Review 6.  Self-esteem and quality of life in obese children and adolescents: a systematic review.

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Journal:  Int J Pediatr Obes       Date:  2010-08

7.  Simulation of Growth Trajectories of Childhood Obesity into Adulthood.

Authors:  Zachary J Ward; Michael W Long; Stephen C Resch; Catherine M Giles; Angie L Cradock; Steven L Gortmaker
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8.  Measuring Health Utilities in Children and Adolescents: A Systematic Review of the Literature.

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Journal:  PLoS One       Date:  2015-08-14       Impact factor: 3.240

9.  Obesity and preference-weighted quality of life of ethnically diverse middle school children: the HEALTHY study.

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Review 10.  Economic Evaluation of Obesity Prevention in Early Childhood: Methods, Limitations and Recommendations.

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Journal:  Int J Environ Res Public Health       Date:  2016-09-13       Impact factor: 3.390

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