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Updated: May 27, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Obesity estimates for children based on parent-reported versus direct measures
Margot Shields1, Sarah Connor Gorber, Ian Janssen
1Health Analysis Division, Statistics Canada, Ottawa, Ontario, K1A 0T6. margot.shields@statcan.gc.ca
Parental reports of children's height and weight lead to inaccurate obesity estimates and misclassification errors. Direct measurements are essential for reliable health indicator assessments in pediatric populations.
Area of Science:
- Pediatric health research
- Obesity epidemiology
- Biometric data analysis
Background:
- Self-reported height and weight for Body Mass Index (BMI) calculations in adults and adolescents underestimate obesity prevalence compared to measured data.
- Limited and inconsistent research exists on the bias introduced by parent-reported height and weight for children's obesity assessment.
Purpose of the Study:
- To examine the bias in parent-reported height and weight for children aged 6-11.
- To assess the impact of this bias on obesity prevalence estimates and associated health indicators.
- To evaluate the effectiveness of correction equations in mitigating misclassification errors.
Main Methods:
- Utilized data from the 2007-2009 Canadian Health Measures Survey.
- Collected parent-reported and directly measured height and weight for 854 children aged 6-11.
- Analyzed discrepancies and misclassification errors in Body Mass Index (BMI) categories.
Main Results:
- Parents significantly underestimated children's height (3.3 cm) and weight (1.1 kg) on average.
- Parent-reported data led to higher obesity prevalence estimates in younger children (6-8 years), but similar estimates in older children (9-11 years).
- Substantial misclassification errors in BMI categories were observed, weakening associations between obesity and health indicators like aerobic fitness and blood pressure.
Conclusions:
- Parental reporting bias for children's anthropometrics results in significant obesity misclassification, impacting health indicator relationships.
- Attempts to develop correction equations to adjust for this bias were largely unsuccessful.
- Accurate direct measurements of height and weight are crucial for reliable childhood obesity assessment and understanding its health implications.
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