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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Sociedade de Pediatria de São Paulo
2023
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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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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 |
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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. |
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Sociedade de Pediatria de São Paulo |
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2023 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822023000100401 |
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