Evidence map›Paper›PMID 31814078›Full record

ArticlePharmacoEconomics2020

Estimating Age- and Sex-Specific Utility Values from the CHU9D Associated with Child and Adolescent BMI z-Score.

Anagha Killedar, Thomas Lung, Stavros Petrou, Armando Teixeira-Pinto, Alison Hayes

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Article in PharmacoEconomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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
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  3. Article
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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

5 authors.

Anagha KilledarFaculty of Medicine and Health, School of Public Health, Edward Ford Building A27, University of Sydney, Sydney, NSW, 2006, Australia. anagha.killedar@sydney.edu.au.ORCID 0000-0003-2363-8827
Thomas LungFaculty of Medicine and Health, School of Public Health, Edward Ford Building A27, University of Sydney, Sydney, NSW, 2006, Australia.ORCID 0000-0001-9978-6311
Stavros PetrouNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.ORCID 0000-0003-3121-6050
Armando Teixeira-PintoFaculty of Medicine and Health, School of Public Health, Edward Ford Building A27, University of Sydney, Sydney, NSW, 2006, Australia.ORCID 0000-0002-9389-2516
Alison HayesFaculty of Medicine and Health, School of Public Health, Edward Ford Building A27, University of Sydney, Sydney, NSW, 2006, Australia.ORCID 0000-0002-8679-6040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOur objective was to identify age- and sex-specific utilities for children and adolescents by body mass index (BMI) z-score.

methodsWe used data from 6822 participants and 12,094 observations from two cohorts and two waves of interviews from the Longitudinal Study of Australian Children. We fit linear models using generalised estimating equations to investigate associations between Child Health Utility 9D and BMI z-score in girls and boys aged 10-17 years. We initially fit models for each sex, fully adjusted for known predictors of health-related quality of life, including socioeconomic position, long-term medical condition and maternal smoking status and also included an interaction between age and BMI z-score to examine age-specific effects. Finally, we derived a minimal model for each sex by eliminating interaction terms with P > 0.01 and predictors with P > 0.05.

resultsOur adjusted results show different utility patterns in girls and boys. In girls, utility decrements for each unit increase in BMI z-score changed with age (P < 0.01 for interaction between age and BMI z-score). At age 10 years, the mean utility decrement for each unit increase in BMI z-score was 0.002 (95% confidence interval [CI] 0.011 decrement to 0.006 increment), but, by age 17 years, this utility decrement was 0.023 (95% CI 0.013 to 0.032). In boys, small non-significant decrements were found in utility for each unit increase in BMI z-score, with no observable change with age.

conclusionOur analyses demonstrated that age and sex should be considered when attributing utility values and decrements to BMI z-scores.

Indexed as

Body Mass IndexAdolescentAge FactorsAustraliaChildFemaleHumansLinear ModelsLongitudinal StudiesMaleObesityQuality of LifeSex FactorsSmokingSocioeconomic FactorsSurveys and Questionnaires

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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.