Development of an equation to estimate fat-free mass in mountain Guides and Porters.

Jorge Torres-Mejías; Evangelina Rivarola; Erick DIAZ; Gabriela SALAZAR; DanielaANIELA TORO; Felipe VILLEGAS; Rossana Gómez; Marco COSSIO; Miguel Angel LÓPEZ; Eugenio MERELLANO-NAVARRO

doi:10.12873/443cavalcante

Authors

Jorge Torres-Mejías Programa Doctorado en Ciencias de la Actividad Física, Facultad de Ciencias de la Educación, Universidad Católica del Maule, Chile https://orcid.org/0000-0002-6463-5051
Evangelina Rivarola Escuela de Nutrición. Facultad de Ciencias Médicas. Universidad Nacional de Córdoba. Argentina
. Laboratory of Energy Metabolism and Stable Isotopes, INTA, U. of Chile;
Gabriela SALAZAR Laboratory of Energy Metabolism and Stable Isotopes, INTA, U. of Chile;
DanielaANIELA TORO Andesgear, Chile
Felipe VILLEGAS
Rossana Gómez Department of Physical Activity Sciences, Faculty of Education Sciences, Universidad Católica del Maule, Talca 3530000, Chile
Marco COSSIO Department of Physical Activity Sciences, Faculty of Education Sciences, Universidad Católica del Maule, Talca 3530000, Chile https://orcid.org/0000-0001-7230-9996
Miguel Angel LÓPEZ Nutrición y Dietética. Facultad de Ciencias de la Salud, Universidad Adventista de Chile, Chillán, Chile. https://orcid.org/0000-0001-7865-634X
Eugenio MERELLANO-NAVARRO Department of Physical Activity Sciences, Faculty of Education Sciences, Universidad Católica del Maule, Talca 3530000, Chile; https://orcid.org/0000-0002-1557-2285

DOI:

https://doi.org/10.12873/443cavalcante

Keywords:

Fat-free mass, Body mass index, Hipobaric Hipoxia, High Altitude, body composition

Abstract

Abstract: Body composition (BC) is a crucial component in the monitoring of athletes, not only as a variable related to physical performance, but also as a follow-up of dietary intervention and training. Objective: To propose regression equations from body surface area (BSA) to estimate fat-free mass (FFM) of mountain guides and porters using deuterium oxide dilution (MDD) as a criterion method. Methods: Cross-sectional study in 23 young and adult men working as mountain guides and porters on Aconcagua (Argentina). The volunteers ranged in age from 20 to 50 years. Weight, height, body mass index (BMI) and BSA were assessed by eight regression equations. Results: Three linear regression equations were generated considering chronological age and ASC as predictors: Model 1 (FFM = - 25.287 - (0.260 * age) + (49.014 * ASC1), R2 = 63.0%), model 2 (FFM = -20.736 - (0.191 * age) + (45.523 * ASC2), R2 = 62.0%) and model 3 (FFM = -28.592 - (0.244 * age) + (52.499 * ASC3), R2 = 63.0). Conclusion: Three predictive models based on age and BSA were generated that allow estimating the FFM in a valid and reliable way. The results suggest their use and application for monitoring before, during and after expeditions.

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