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.


Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
16 09 2019
Historique:
received: 23 10 2018
accepted: 02 08 2019
revised: 20 06 2019
entrez: 21 9 2019
pubmed: 21 9 2019
medline: 17 6 2020
Statut: epublish

Résumé

Electronic 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. The 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. This 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. There 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. Most 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.

Sections du résumé

BACKGROUND
Electronic 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.
OBJECTIVE
The 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.
METHODS
This 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.
RESULTS
There 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.
CONCLUSIONS
Most 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.

Identifiants

pubmed: 31538954
pii: v21i9e12532
doi: 10.2196/12532
pmc: PMC6754693
doi:

Types de publication

Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e12532

Informations de copyright

©Li Kheng Chai, Clare E Collins, Chris May, Carl Holder, Tracy L Burrows. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 16.09.2019.

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Auteurs

Li Kheng Chai (LK)

School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, Australia.
Priority Research Centre in Physical Activity and Nutrition, The University of Newcastle, Callaghan, Australia.
Hunter Medical Research Institute, New Lambton, Australia.

Clare E Collins (CE)

School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, Australia.
Priority Research Centre in Physical Activity and Nutrition, The University of Newcastle, Callaghan, Australia.
Hunter Medical Research Institute, New Lambton, Australia.

Chris May (C)

School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, Australia.
Family Action Centre, The University of Newcastle, Callaghan, Australia.

Carl Holder (C)

Hunter Medical Research Institute, New Lambton, Australia.

Tracy L Burrows (TL)

School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, Australia.
Priority Research Centre in Physical Activity and Nutrition, The University of Newcastle, Callaghan, Australia.
Hunter Medical Research Institute, New Lambton, Australia.

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Classifications MeSH