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). The three equations presented tolerance indices (T) and variance inflation values (VIF) within limits; more evidence of absence of autocorrelation. 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.