A Novel Method to Predict Carbohydrate and Energy Expenditure During Endurance Exercise Using Measures of Training Load.
Autor: | Rothschild JA; High Performance Sport New Zealand (HPSNZ), 17 Antares Place, Mairangi Bay, Auckland, 0632, New Zealand. Jeffrey.Rothschild@aut.ac.nz.; Sports Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand. Jeffrey.Rothschild@aut.ac.nz., Hofmeyr S; Sports Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand., McLaren SJ; Newcastle Falcons Rugby Club, Newcastle upon Tyne, UK.; Department of Sport and Exercise Sciences, Manchester Metropolitan University Institute of Sport, Manchester, UK., Maunder E; Sports Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand. |
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Jazyk: | angličtina |
Zdroj: | Sports medicine (Auckland, N.Z.) [Sports Med] 2024 Nov 01. Date of Electronic Publication: 2024 Nov 01. |
DOI: | 10.1007/s40279-024-02131-z |
Abstrakt: | Background: Sports nutrition guidelines recommend carbohydrate (CHO) intake be individualized to the athlete and modulated according to changes in training load. However, there are limited methods to assess CHO utilization during training sessions. Objectives: We aimed to (1) quantify bivariate relationships between both CHO and overall energy expenditure (EE) during exercise and commonly used, non-invasive measures of training load across sessions of varying duration and intensity and (2) build and evaluate prediction models to estimate CHO utilization and EE with the same training load measures and easily quantified individual factors. Methods: This study was undertaken in two parts: a primary study, where participants performed four different laboratory-based cycle training sessions, and a validation study where different participants performed a single laboratory-based training session using one of three exercise modalities (cycling, running, or kayaking). The primary study included 15 cyclists (five female; maximal oxygen consumption [ V ˙ O Results: Very-large to near-perfect within-subject correlations (r = 0.76-0.96) were evident between all training load metrics and both CHO utilization and EE. In the primary study, all models explained a large amount of variance (R 2 = 0.77-0.96) and displayed good accuracy (mean absolute error; CHO = 16-21 g [10-14%], EE = 53-82 kcal [7-11%]). In the validation study, the mean absolute error ranged from 16-50 g [15-45%] for CHO models to 53-182 kcal [9-31%] for EE models. The calibrated mean absolute error ranged from 9-20 g [8-18%] for CHO models to 36-72 kcal [6-12%] for EE models. Conclusions: At the individual level, there are strong linear relationships between all measures of training load and both CHO utilization and EE during cycling. When combined with other measures of fitness, EE and CHO utilization during cycling can be estimated accurately. These models can be applied in running and kayaking when used with a calibration adjustment. (© 2024. The Author(s).) |
Databáze: | MEDLINE |
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