Evidence map›Paper›PMID 29404925›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2018

How does age affect the relationship between weight and health utility during the middle years of childhood?

Katie Eminson, Alastair Canaway, Peymané Adab, Emma Lancashire, Miranda Pallan, Emma Frew

Abstract read
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In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Methods for the economic evaluation of obesity prevention dietary interventions in children: A systematic review and critical appraisal of the evidence.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
    Pooled it
  2. Trial
  3. Trial
  4. Association of body mass index from childhood to mid-adulthood with health-related quality of life in mid-adulthood.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
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  7. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Katie EminsonUK Centre for Tobacco and Alcohol Studies, University of Nottingham, Nottingham, NG7 2QL, UK.
Alastair CanawayWarwick Clinical Trials Unit, University of Warwick, Coventry, CV4 7AL, UK. a.canaway@warwick.ac.uk.ORCID 0000-0002-4270-6808
Peymané AdabPublic Health, University of Birmingham, Public Health Building, Birmingham, B15 2TT, UK.
Emma LancashirePublic Health, University of Birmingham, Public Health Building, Birmingham, B15 2TT, UK.
Miranda PallanPublic Health, University of Birmingham, Public Health Building, Birmingham, B15 2TT, UK.
Emma FrewHealth Economics Unit, University of Birmingham, Public Health Building, Birmingham, B15 2TT, UK.ORCID 0000-0002-5462-1158

Funding

Department of Health 06/85/11Department of Health CDF-2015-08-013Health Technology Assessment Programme 06/85/11
6 · The paper itself

Abstract

purposeThe limited literature examining weight status and preference-based health-related quality of life (HRQL) in young children is equivocal. This study aims to examine how the association between weight status and preference-based HRQL changes as children develop between the ages of 6 and 10 years old.

methodsThe Child Health Utility 9D (CHU-9D) was used to determine preference-based HRQL. Height and weight data were also collected and used to calculate z-BMI adjusted for age and gender. 1467 children were recruited from 54 schools across the West Midlands. Data were collected at four time points over 5 years. Impact of weight on dimensions of HRQL was assessed via the distribution of responses to CHU-9D dimensions by weight status. Multi-level regression analysis controlling for ethnicity, deprivation and other relevant co-variates was conducted to examine the relationship between weight and HRQL.

resultsThere was no evidence to suggest that the weight status impacted upon the distribution of responses to CHU-9D dimensions. Correspondingly, the multi-level regression analysis found no statistically significant differences in CHU-9D scores between underweight, healthy weight, overweight and obese children.

conclusionsThe evidence surrounding the link between preference-based HRQL and weight status in children is limited. This study found no association between weight status and HRQL as measured by the CHU-9D in children between the ages of 5 and 10 years in the UK. Given this, it is recommended that future studies aiming to prevent obesity in children in their middle years do not rely solely on preference-based measures for economic evaluation, and instead focus on capturing clinical or wellbeing outcomes.

Indexed as

Age FactorsBody HeightChildChild HealthChild, PreschoolFemaleHumansMaleOverweightPediatric ObesityQuality of LifeReproducibility of ResultsThinnessChild healthChild weight statusCHU-9DHealth-related quality of lifeObesityUtility

Identifiers

PMID29404925
PMCPMC5951869

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.