Related Experiment Video
Updated: May 28, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
Published on: May 8, 2021
Metabolic changes during a field experiment in a world-class windsurfing athlete: a trial with multivariate analyses
Nathália Maria Resende1, Anibal Monteiro de Magalhães Neto, Flávio Bachini
1Laboratory of Biochemistry of Proteins, Federal University of State of Rio de Janeiro, Brazil.
Abstract:
Physical exercise affects hematological equilibrium and metabolism. This study evaluated the biochemical and hematological responses of a male world-class athlete in sailing who is ranked among the top athletes on the official ISAF ranking list of windsurfing, class RS:X. The results describe the metabolic adaptations of this athlete in response to exercise in two training situations: the first when the athlete was using the usual training and dietary protocol, and the second following training and nutritional interventions based on a careful analysis of his diet and metabolic changes measured in a simulated competition. The intervention protocol for this study consisted of a 3-month facility-based program using neuromuscular training (NT), aerobic training (AT), and nutritional changes to promote anabolism and correct micronutrient malnutrition. Nutritional and training intervention produced an increase in the plasma availability of branched-chain amino acids (BCAAs), aromatic amino acids (AAAs), alanine, glutamate, and glutamine during exercise. Both training and nutritional interventions reduced ammonemia, uricemia, and uremia. In addition, we are able to correct a significant drop in potassium levels during races by correct supplementation. Due to the uniqueness of this experiment, these results may not apply to other windsurfers, but we nonetheless had the opportunity to characterize the metabolic adaptations of this athlete. We also proposed the importance of in-field metabolic analyses to the understanding, support, and training of world-class elite athletes.
Related Concept Videos
Variability: Analysis
The range is a simple measure of variability, indicating the difference between the highest and...
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Metabolic Rate
The Basal Metabolic Rate (BMR) measures the energy expended at rest.
Several factors influence the...