Diagnostic performance of anthropometric indicators used to assess excess body fat in adolescence.

Autor: Antunes NMN; Universidade Estadual de Montes Claros, Montes Claros, MG, Brazil., Silveira MF; Universidade Estadual de Montes Claros, Montes Claros, MG, Brazil., Silva RRV; Universidade Estadual de Montes Claros, Montes Claros, MG, Brazil., Rocha JSB; Universidade Estadual de Montes Claros, Montes Claros, MG, Brazil., Oliveira FPSL; Centro Universitário FIPMOC, Montes Claros, MG, Brazil., Ruas SJS; Universidade Estadual de Montes Claros, Montes Claros, MG, Brazil., Borborema FAM; Universidade Estadual de Montes Claros, Montes Claros, MG, Brazil., Duarte JHP; Universidade Estadual de Montes Claros, Montes Claros, MG, Brazil., Rodrigues CAO; Universidade Estadual de Montes Claros, Montes Claros, MG, Brazil., Brito MFSF; Universidade Estadual de Montes Claros, Montes Claros, MG, Brazil., Caldeira AP; Universidade Estadual de Montes Claros, Montes Claros, MG, Brazil., Pinho L; Universidade Estadual de Montes Claros, Montes Claros, MG, Brazil.
Jazyk: angličtina
Zdroj: Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo [Rev Paul Pediatr] 2022 Jul 06; Vol. 41, pp. e2021189. Date of Electronic Publication: 2022 Jul 06 (Print Publication: 2022).
DOI: 10.1590/1984-0462/2023/41/2021189
Abstrakt: Objective: To compare the performance of anthropometric indicators that identify excess body fat (BF) in adolescents.
Methods: This 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%.
Results: A 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.
Conclusions: BMI, 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.
Databáze: MEDLINE
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