ArticleRevista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo2022
Diagnostic performance of anthropometric indicators used to assess excess body fat in adolescence.
Article in Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 2 citations in OpenAlex.
- What is measured and what is estimated in body composition? A clarification framework for terminology and interpretation.Reviews in endocrine & metabolic disorders · 2026Review
- Article
- Predictive performance of the waist-to-height ratio and the conicity index for diagnosing excess body fat in children.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2025Article
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12 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveTo compare the performance of anthropometric indicators that identify excess body fat (BF) in adolescents.
methodsThis is a methodological study that used probability cluster sampling through school and class draws. Data collection included sociodemographic characteristics and anthropometric measures. Body mass index (BMI), waist-to-height ratio (WtHR), conicity index (C index), and waist circumference (WC) were calculated. Body fat percentage (BF%) was calculated from skinfold thickness and used as the gold standard. To analyze the data, descriptive statistics, Student's t-test, Receiver Operating Characteristic (ROC) curve, and Youden's index were used, in addition to correlation coefficient calculation between the indicators and BF%.
resultsA total of 997 adolescents enrolled in municipal secondary schools participated in the study. By calculating the BMI, we found that 10.6% of adolescents were overweight, and 4.7% were obese. BMI, WC, and WtHR had the highest accuracy to predict body fatness. All the anthropometric indicators had higher specificity than sensitivity to diagnose excess BF in males. WC had the highest sensitivity in both genders. C index had the smallest area under the ROC curve and the lowest sensitivity in both genders, but its specificity was equivalent to that of the other indicators.
conclusionsBMI, WtHR, and WC were the best anthropometric indicators to predict excess BF in adolescents and had the best correlation coefficients. These tools can be considered in the screening to detect excess BF in adolescents.
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