» Articles » PMID: 36734513

Parent-reported Compared with Researcher-measured Child Height and Weight: Impact on Body Mass Index Classification in Australian Pre-school Aged Children

Overview
Publisher Wiley
Date 2023 Feb 3
PMID 36734513
Authors
Affiliations
Soon will be listed here.
Abstract

Issue Addressed: Parent-reported data may provide a practical and cheap way for estimating young children's weight status. This study aims to compare the validity and reliability of parent-reported height and weight to researcher-measured data for pre-school aged children (aged 2-6 years).

Methods: This was a nested study within a cluster randomised controlled trial (October 2016-April 2017), conducted within 32 Early Childhood Education and Care (ECEC) services across New South Wales, Australia. Parents of children reported on demographics and child height and weight via a survey. For the same child, height and weight data were objectively collected by trained research staff at the service. We calculated mean differences, intra-class correlations, Bland-Altman plots, percentage agreement and Cohen's kappa coefficient (>0.8 = "excellent"; 0.61-0.8 = "good"; 0.41-0.60 = "moderate"; 0.21 and 0.4 = "fair [weak]"; <0.2 = "poor").

Results: Overall, 89 children were included (mean age: 4.7 years; 59.5% female). The mean difference between parent-reported and researcher-measured data were small (BMI z-score: mean difference -0.01 [95% CI: -0.45 to 0.44]). There was "fair/weak" agreement between parent-categorised child BMI compared with researcher-measured data (Cohen's Kappa 0.24 [95% CI: 0.06 to 0.42]). Agreement was poor (Cohen's kappa <0.2) for female children, when reported by fathers or by parents with a BMI > 25 kg/m .

Conclusion: There was "fair/weak" agreement between parent-reported and measured estimates of child weight status. SO WHAT?: Parent's report of weight and height may be a weak indicator of adiposity at the level of individuals however it may be useful for aggregate estimates.

Citing Articles

Socio-economic inequalities in body mass index among preschool children: do sports programs in early childhood education and care centers make a difference?.

Mayer A, Herr R, Klein T, Wiedemann E, Diehl K, Hoffmann S Front Public Health. 2023; 11:1079871.

PMID: 37427257 PMC: 10325856. DOI: 10.3389/fpubh.2023.1079871.


Parent-reported compared with researcher-measured child height and weight: impact on body mass index classification in Australian pre-school aged children.

Jackson J, Grady A, Lecathelinais C, Fielding A, Yoong S Health Promot J Austr. 2023; 34(4):742-749.

PMID: 36734513 PMC: 10946955. DOI: 10.1002/hpja.702.

References
1.
Brettschneider A, Ellert U, Schaffrath Rosario A . Comparison of BMI derived from parent-reported height and weight with measured values: results from the German KiGGS study. Int J Environ Res Public Health. 2012; 9(2):632-47. PMC: 3315268. DOI: 10.3390/ijerph9020632. View

2.
Ward Z, Long M, Resch S, Giles C, Cradock A, Gortmaker S . Simulation of Growth Trajectories of Childhood Obesity into Adulthood. N Engl J Med. 2017; 377(22):2145-2153. PMC: 9036858. DOI: 10.1056/NEJMoa1703860. View

3.
Yoong S, Grady A, Wiggers J, Flood V, Rissel C, Finch M . A randomised controlled trial of an online menu planning intervention to improve childcare service adherence to dietary guidelines: a study protocol. BMJ Open. 2017; 7(9):e017498. PMC: 5595182. DOI: 10.1136/bmjopen-2017-017498. View

4.
Bland J, Altman D . Measuring agreement in method comparison studies. Stat Methods Med Res. 1999; 8(2):135-60. DOI: 10.1177/096228029900800204. View

5.
Yoong S, Grady A, Wiggers J, Stacey F, Rissel C, Flood V . Child-level evaluation of a web-based intervention to improve dietary guideline implementation in childcare centers: a cluster-randomized controlled trial. Am J Clin Nutr. 2020; 111(4):854-863. PMC: 7138676. DOI: 10.1093/ajcn/nqaa025. View