Triceps and subscapular skinfold thickness percentiles and cut-offs for overweight and obesity in a population-based sample of schoolchildren and adolescents in Bogota, Colombia

Robinson Ramírez-Vélez, Mario Ferney López-Cifuentes, Jorge Enrique Correa-Bautista, Katherine González-Ruíz, Emilio González-Jiménez, Diana Paola Córdoba-Rodríguez, Andrés Vivas, Hector Reynaldo Triana-Reina, Jacqueline Schmidt-RioValle

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19 Scopus citations

Abstract

The assessment of skinfold thickness is an objective measure of adiposity. The aims of this study were to establish Colombian smoothed centile charts and LMS L (Box–Cox transformation), M (median), and S (coefficient of variation) tables for triceps, subscapular, and triceps + subscapular skinfolds; appropriate cut-offs were selected using receiver operating characteristic (ROC) analysis based on a population-based sample of children and adolescents in Bogotá, Colombia. A cross-sectional study was conducted in 9618 children and adolescents (55.7% girls; age range of 9–17.9 years). Triceps and subscapular skinfold measurements were obtained using standardized methods. We calculated the triceps + subscapular skinfold (T + SS) sum. Smoothed percentile curves for triceps and subscapular skinfold thickness were derived using the LMS method. ROC curve analyses were used to evaluate the optimal cut-off point of skinfold thickness for overweight and obesity, based on the International Obesity Task Force definitions. Subscapular and triceps skinfolds and T + SS were significantly higher in girls than in boys (p < 0.001). The ROC analysis showed that subscapular and triceps skinfolds and T + SS have a high discriminatory power in the identification of overweight and obesity in the sample population in this study. Our results provide sex- and age-specific normative reference standards for skinfold thickness values from a population from Bogotá, Colombia.

Original languageEnglish (US)
Article number595
Pages (from-to)1-10
Number of pages10
JournalNutrients
Volume8
Issue number10
DOIs
StatePublished - 2016

All Science Journal Classification (ASJC) codes

  • Food Science

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