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

Abstract 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.

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Main Authors: Antunes,Nelma Maria Neves, Silveira,Marise Fagundes, Silva,Rosângela Ramos Veloso, Rocha,Josiane Santos Brant, Oliveira,Fernanda Piana Santos Lima de, Ruas,Sélen Jaqueline Souza, Borborema,Fabiana Aparecida Maia, Duarte,Jose Henrique Pinto, Rodrigues,Carolina Amaral Oliveira, Brito,Maria Fernanda Santos Figueiredo, Caldeira,Antônio Prates, Pinho,Lucinéia de
Format: Digital revista
Language:English
Published: Sociedade de Pediatria de São Paulo 2023
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822023000100401
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spelling oai:scielo:S0103-058220230001004012022-07-01Diagnostic performance of anthropometric indicators used to assess excess body fat in adolescenceAntunes,Nelma Maria NevesSilveira,Marise FagundesSilva,Rosângela Ramos VelosoRocha,Josiane Santos BrantOliveira,Fernanda Piana Santos Lima deRuas,Sélen Jaqueline SouzaBorborema,Fabiana Aparecida MaiaDuarte,Jose Henrique PintoRodrigues,Carolina Amaral OliveiraBrito,Maria Fernanda Santos FigueiredoCaldeira,Antônio PratesPinho,Lucinéia de Obesity Anthropometry Students Adolescent Abstract 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.info:eu-repo/semantics/openAccessSociedade de Pediatria de São PauloRevista Paulista de Pediatria v.41 20232023-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822023000100401en10.1590/1984-0462/2023/41/2021189
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language English
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author Antunes,Nelma Maria Neves
Silveira,Marise Fagundes
Silva,Rosângela Ramos Veloso
Rocha,Josiane Santos Brant
Oliveira,Fernanda Piana Santos Lima de
Ruas,Sélen Jaqueline Souza
Borborema,Fabiana Aparecida Maia
Duarte,Jose Henrique Pinto
Rodrigues,Carolina Amaral Oliveira
Brito,Maria Fernanda Santos Figueiredo
Caldeira,Antônio Prates
Pinho,Lucinéia de
spellingShingle Antunes,Nelma Maria Neves
Silveira,Marise Fagundes
Silva,Rosângela Ramos Veloso
Rocha,Josiane Santos Brant
Oliveira,Fernanda Piana Santos Lima de
Ruas,Sélen Jaqueline Souza
Borborema,Fabiana Aparecida Maia
Duarte,Jose Henrique Pinto
Rodrigues,Carolina Amaral Oliveira
Brito,Maria Fernanda Santos Figueiredo
Caldeira,Antônio Prates
Pinho,Lucinéia de
Diagnostic performance of anthropometric indicators used to assess excess body fat in adolescence
author_facet Antunes,Nelma Maria Neves
Silveira,Marise Fagundes
Silva,Rosângela Ramos Veloso
Rocha,Josiane Santos Brant
Oliveira,Fernanda Piana Santos Lima de
Ruas,Sélen Jaqueline Souza
Borborema,Fabiana Aparecida Maia
Duarte,Jose Henrique Pinto
Rodrigues,Carolina Amaral Oliveira
Brito,Maria Fernanda Santos Figueiredo
Caldeira,Antônio Prates
Pinho,Lucinéia de
author_sort Antunes,Nelma Maria Neves
title Diagnostic performance of anthropometric indicators used to assess excess body fat in adolescence
title_short Diagnostic performance of anthropometric indicators used to assess excess body fat in adolescence
title_full Diagnostic performance of anthropometric indicators used to assess excess body fat in adolescence
title_fullStr Diagnostic performance of anthropometric indicators used to assess excess body fat in adolescence
title_full_unstemmed Diagnostic performance of anthropometric indicators used to assess excess body fat in adolescence
title_sort diagnostic performance of anthropometric indicators used to assess excess body fat in adolescence
description Abstract 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.
publisher Sociedade de Pediatria de São Paulo
publishDate 2023
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822023000100401
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