Concurrent validity of five prediction equations to evaluate fat percentage in a sports group expected to yield high performance from Medellín, Colombia

• Published in: Biomédica
• Main Authors: Ana Lucía López, Juan David Vélez, Angélica María García, Elkin Fernando Arango
• Format: Article in Journal/Newspaper
• Language: English; Spanish
• Published: Instituto Nacional de Salud 2021
• Subjects: body composition; nutritional status; anthropometry; child; adolescent; nutrition assessment; adipose tissue; absorptiometry; photon; Medicine; R; Arctic medicine. Tropical medicine; RC955-962; Arctic; Slaughter
• Online Access: https://doi.org/10.7705/biomedica.5333; https://doaj.org/article/c9aac14078a34ef094d5b6104ff0d85e

Introduction: No equations to predict the body composition of athletes from Medellín expected to have high performance have been constructed and, thus, decisions regarding their training and nutrition plans lack support. Objective: To calculate the concurrent validity of five prediction equations for fat percentage in a group of athletes from Medellín, Colombia, expected to yield high performance. Materials and methods: We conducted a cross-sectional analysis to validate diagnostic tests using secondary-source data of athletes under the age of 18 who were part of the “Medellín Team”. The gold standard was dual-energy X-ray densitometry (DEXA). We analyzed the Slaughter, Durnin and Rahaman, Lohman, and Johnston prediction equations, as well as the five-component model. We used the intraclass correlation coefficient to assess the consistency of the methods and the Bland-Altman plot to calculate the average bias and agreement limits of each of the equations. Results: We included 101 athletes (50,5 % of them women). The median age was 14,8 years (IR: 13,0 - 16,0). The concurrent validity was “good/excellent” for the Johnston and the Durnin and Rahaman equations and the five-components model. The Lohman equation overestimated the fat percentage in 12,7 points. All of the equations showed broad agreement limits. Conclusions: The Durnin and Rahaman and the Johnston equations, as well as the fivecomponent model, can be used to predict the FP in the study population as they showed a “good/excellent” concurrent validity and a low average bias. The equations analyzed have low accuracy, which hinders their use to diagnose the individual fat percentage within this population.