We aimed to (1) quantify bivariate relationships between both CHO and overall energy expenditure (EE) dur- ing 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.
The International Society of Sports Nutrition (ISSN) provides an objective and critical review of the use of a ketogenic diet in healthy exercising adults, with a focus on exercise performance and body composition.
The goal of this study was to test the ability of machine learning models to predict perceived morning recovery status and daily change in HRV based on training metrics, dietary intake, sleep, HRV, and subjective wellbeing.
The aim of this study was to determine if elevating muscle temperature during exercise through the application of mild, local heat stress would promote adaptations to mitochondrial protein content in response to endurance training.
The purpose of this study was to examine the relationship between daily carbohydrate intake and perceived recovery status and determine if group-level statistics can generalize to individual athletes.
The aim of the present investigation was to determine the reliability and validity of the 3MT for estimation of the MMSS when performed in remote settings by unsupervised athletes using their own indoor cycling setup.
The purpose of this analysis was to investigate factors influencing the RER during cycling exercise and formulate regression models to determine which factors best explain RER during exercise, their relative influence, and the result of multiple variables being modulated simultaneously.
The purpose of this analysis was to (1) investigate correlations between factors influencing AMPK activation and the magnitude of change in AMPK activity during cycling exercise, (2) investigate correlations between commonly reported measures of AMPK activation (AMPK-a2 activity, phosphorylated (p)-AMPK, and p-acetyl coenzyme A carboxylase (p-ACC), and (3) formulate linear regression models to determine the most important factors for AMPK activation during exercise.
The aim of this crossover study was to determine the effects of three different pre-exercise nutrition strategies on substrate oxidation, performance during HIIT, and exercise-induced oxidative stress.