1. Parent‐reported compared with researcher‐measured child height and weight: impact on body mass index classification in Australian pre‐school aged children.
- Author
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Jackson, Jacklyn Kay, Grady, Alice, Lecathelinais, Christophe, Fielding, Alison, and Yoong, Sze Lin
- Subjects
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BODY mass index , *PRESCHOOL children , *BODY weight , *BLAND-Altman plot , *INTRACLASS correlation - 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/m2. 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. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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