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Updated: Mar 30, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Association between anthropometric indices and cardiometabolic risk factors in pre-school children
Juan C Aristizabal1, Jacqueline Barona2, Marcela Hoyos3
1School of Nutrition and Dietetics, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín, Colombia. juan.aristizabal@udea.edu.co.
Insights
Body Mass Index (BMI) and other anthropometric measures similarly identify insulin resistance in preschool children. These findings suggest BMI is a sufficient proxy for detecting insulin resistance in this age group.
Area of Science:
- Pediatric endocrinology
- Public health nutrition
- Childhood obesity research
Background:
- Established anthropometric reference values from WHO and IDEFICS studies.
- Investigated cardiometabolic risk factors in preschool children across weight spectrums.
Purpose of the Study:
- To examine the relationship between various anthropometric indices and cardiometabolic risk factors.
- To assess the utility of different anthropometric measures in identifying insulin resistance in preschool children.
Main Methods:
- Cross-sectional study of 232 preschool children (aged 4.1 ± 0.05 years).
- Collected anthropometric measurements and calculated BMI, waist circumference, waist to height ratio, skinfold sum, and fat mass index.
- Assessed fasting glucose, insulin, HOMA-IR, blood lipids, and apolipoproteins; employed correlation, regression, and ROC analyses.
Main Results:
- Significant correlations (p < 0.001) were found between anthropometric indices (BMI, waist circumference, waist to height ratio, skinfold sum, fat mass index) and insulin/HOMA-IR.
- The diagnostic accuracy (AUC) for identifying insulin resistance was similar across all assessed anthropometric indices (AUC > 0.68).
Conclusions:
- WHO and IDEFICS anthropometric indices demonstrated similar correlations with fasting insulin and HOMA-IR.
- No single index showed superior diagnostic accuracy for identifying insulin resistance.
- BMI is recommended as a sufficient proxy for identifying insulin resistance in preschool children, negating the need for alternative measures.
Background:
The world health organization (WHO) and the Identification and prevention of dietary- and lifestyle-induced health effects in children and infants- study (IDEFICS), released anthropometric reference values obtained from normal body weight children. This study examined the relationship between WHO [body mass index (BMI) and triceps- and subscapular-skinfolds], and IDEFICS (waist circumference, waist to height ratio and fat mass index) anthropometric indices with cardiometabolic risk factors in pre-school children ranging from normal body weight to obesity.
Methods:
A cross-sectional study with 232 children (aged 4.1 ± 0.05 years) was performed. Anthropometric measurements were collected and BMI, waist circumference, waist to height ratio, triceps- and subscapular-skinfolds sum and fat mass index were calculated. Fasting glucose, fasting insulin, homeostasis model analysis insulin resistance (HOMA-IR), blood lipids and apolipoprotein (Apo) B-100 (Apo B) and Apo A-I were determined. Pearson's correlation coefficient, multiple regression analysis and the receiver-operating characteristic (ROC) curve analysis were run.
Results:
51% (n = 73) of the boys and 52% (n = 47) of the girls were of normal body weight, 49% (n = 69) of the boys and 48% (n = 43) of the girls were overweight or obese. Anthropometric indices correlated (p < 0.001) with insulin: [BMI (r = 0.514), waist circumference (r = 0.524), waist to height ratio (r = 0.304), triceps- and subscapular-skinfolds sum (r = 0.514) and fat mass index (r = 0.500)], and HOMA-IR: [BMI (r = 0.509), waist circumference (r = 0.521), waist to height ratio (r = 0.296), triceps- and subscapular-skinfolds sum (r = 0.483) and fat mass index (r = 0.492)]. Similar results were obtained after adjusting by age and sex. The areas under the curve (AUC) to identify children with insulin resistance were significant (p < 0.001) and similar among anthropometric indices (AUC > 0.68 to AUC < 0.76).
Conclusions:
WHO and IDEFICS anthropometric indices correlated similarly with fasting insulin and HOMA-IR. The diagnostic accuracy of the anthropometric indices as a proxy to identify children with insulin resistance was similar. These data do not support the use of waist circumference, waist to height ratio, triceps- and subscapular- skinfolds sum or fat mass index, instead of the BMI as a proxy to identify pre-school children with insulin resistance, the most frequent alteration found in children ranging from normal body weight to obesity.
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