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Updated: Aug 15, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Body mass index of children from the United Kingdom diagnosed with pervasive developmental disorders
Paul Whiteley1, Kalliopi Dodou, Lynda Todd
1Autism Research Unit, University of Sunderland, UK. paul.whiteley@sunderland.ac.uk
Insights
Boys with pervasive developmental disorders (PDD) show higher than average height, weight, and Body Mass Index (BMI). Many PDD patients exceed overweight and obesity cut-offs, indicating a need for further research.
Area of Science:
- Pediatric Health
- Developmental Disorders
- Anthropometry
Background:
- Pervasive Developmental Disorders (PDD) can impact physical development.
- Accurate anthropometric data is crucial for monitoring health in children with PDD.
- Parental reporting of measurements is a common data collection method.
Purpose of the Study:
- To determine Body Mass Index (BMI) in UK boys with PDD using parental height and weight reports.
- To compare anthropometric data of PDD boys against reference populations.
- To identify potential weight status concerns in this population.
Main Methods:
- Pilot study analyzing parental reports of height and weight.
- Calculation of Body Mass Index (BMI) in kilograms per meter squared (kg m(-2)).
- Comparison with age and sex-matched reference data.
Main Results:
- Most boys with PDD were above the 50th percentile for height (70%), weight (74%), and BMI (80%).
- 21% of PDD boys were classified as overweight, and 10% as clinically obese.
- No significant differences in anthropometric measures were found between PDD subgroups.
Conclusions:
- Findings suggest a trend towards higher height, weight, and BMI in boys with PDD.
- Further research is needed to validate these anthropometric findings in PDD.
- This study highlights the importance of monitoring weight status in children with developmental disorders.
Background:
The aim of the present study was to ascertain the Body Mass Index (BMI) (kg m(-2)) derived from parental reports of height (metres) and weight (kilograms) of a pilot sample of boys born and resident in the UK diagnosed with pervasive developmental disorders (PDD).
Method:
Analysis of parental reporting of height and weight measurements in boys (n=50) diagnosed with PDD and comparison with age and sex-matched reference populations.
Results:
The majority of patients were above the 50th percentile for height (70%), weight (74%) and BMI (80%) with 21% exceeding cut-off points for overweight and 10% for clinical obesity. There were no significant differences (P < 0.05) found between PDD subgroups for any of the measures.
Conclusion:
Further studies are required to validate findings of skewed height, weight and BMI data in PDD.
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