Evidence map›Paper›PMID 31538954›Full record

Trial reportJournal of medical Internet research2019

Accuracy of Parent-Reported Child Height and Weight and Calculated Body Mass Index Compared With Objectively Measured Anthropometrics: Secondary Analysis of a Randomized Controlled Trial.

Li Kheng Chai, Clare E Collins, Chris May, Carl Holder, Tracy L Burrows

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
8.0field-weighted citation impact, top 2% of its field
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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. Pooled it
  2. Interventions to prevent obesity in children aged 5 to 11 years old.The Cochrane database of systematic reviews · 2024
    Pooled it
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  5. Parent-reported compared with researcher-measured child height and weight: impact on body mass index classification in Australian pre-school aged children.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2023
    Trial
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  8. Toddler diet quality: a factor associated with childhood growth?International journal of obesity (2005) · 2026
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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 at 2 institutions in 1 country.

Li Kheng ChaiSchool of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, Australia.ORCID 0000-0001-5371-4777
Clare E CollinsSchool of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, Australia.ORCID 0000-0003-3298-756X
Chris MaySchool of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, Australia.ORCID 0000-0002-9198-277X
Carl HolderHunter Medical Research Institute, New Lambton, Australia.ORCID 0000-0002-5364-9773
Tracy L BurrowsSchool of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, Australia.ORCID 0000-0002-1431-7864
Hunter Medical Research Institute · AUUniversity of Newcastle Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic health (eHealth) interventions for children often rely on parent-reported child anthropometric measures. However, limited studies have assessed parental accuracy in reporting child height and weight via Web-based approaches.

objectiveThe objective of this study was to determine the accuracy of parent-reported child height and weight, as well as body mass index and weight category that we calculated from these data. We also aimed to explore whether parent report was influenced by age, sex, weight status, or exposure to participation in a 12-week brief Web-based family lifestyle intervention.

methodsThis study was a secondary analysis of data from a 12-week childhood obesity pilot randomized controlled trial in families with children aged 4 to 11 years in Australia. We asked parents to report demographic information, including child height and weight, using an online survey before their child's height and weight were objectively measured by a trained research assistant at baseline and week 12. We analyzed data using the Lin concordance correlation coefficient (ρc, ranging from 0 [poor] to ±1 [perfect] concordance), Cohen kappa coefficient, and multivariable linear regression models.

resultsThere were 42 families at baseline and 35 families (83%) at week 12. Overall, the accuracy of parent-reported child height was moderate (ρc=.94), accuracy of weight was substantial (ρc=.96), and accuracy of calculated body mass index was poor (ρc=.63). Parents underreported child height and weight, respectively, by 0.9 cm and 0.5 kg at baseline and by 0.2 cm and 1.6 kg after participating in a 12-week brief Web-based family lifestyle intervention. The overall interrater agreement of child body mass index category was moderate at baseline (κ=.59) and week 12 (κ=.54). The weight category calculated from 74% (n=31) and 70% (n=23) of parent-reported child height and weight was accurate at baseline and week 12, respectively. Parental age was significantly (95% CI -0.52 to -0.06; P=.01) associated with accuracy of reporting child height. Child age was significantly (95% CI -2.34 to -0.06; P=.04) associated with reporting of child weight.

conclusionsMost Australian parents were reasonably accurate in reporting child height and weight among a group of children aged 4 to 11 years. The weight category of most of the children when calculated from parent-reported data was in agreement with the objectively measured data despite the body mass index calculated from parent-reported data having poor concordance at both time points. Online parent-reported child height and weight may be a valid method of collecting child anthropometric data ahead of participation in a Web-based program. Future studies with larger sample sizes and repeated measures over time in the context of eHealth research are warranted. Future studies should consider modeling the impact of calibration equations applied to parent-reported anthropometric data on study outcomes.

Indexed as

AnthropometryBody HeightBody WeightAustraliaBody Mass IndexChildChild, PreschoolData Interpretation, StatisticalFemaleHumansInternetLife StyleLinear ModelsMaleMultivariate AnalysisObserver Variationbody heightbody mass indexbody weightchilddimensional measurement accuracyparentsself reporttelemedicine

Identifiers

PMID31538954
PMCPMC6754693
OpenAlexW2966542203

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.