1. The increase in core body temperature in response to exertional-heat stress can predict exercise-induced gastrointestinal syndrome
- Author
-
Kayla Henningsen, Alice Mika, Rebekah Alcock, Stephanie K. Gaskell, Alexandra Parr, Christopher Rauch, Isabela Russo, Rhiannon M. J. Snipe, and Ricardo J. S. Costa
- Subjects
Physiology ,Physiology (medical) - Abstract
Utilising metadata from existing exertional and exertional-heat stress studies, the study aimed to determine if the exercise-associated increase in core body temperature can predict the change in exercise-induced gastrointestinal syndrome (EIGS) biomarkers and exercise-associated gastrointestinal symptoms (Ex-GIS). Endurance-trained individuals completed 2h of running exercise in temperate (21.2-30.0°C) to hot (35.0-37.2°C) ambient conditions (n=132 trials). Blood samples were collected pre- and post-exercise to determine the change in gastrointestinal integrity biomarkers and systemic inflammatory cytokines. Physiological and thermoregulatory strain variables were assessed every 10-15min during exercise. The strength of the linear relationship between maximal (M-Tre) and change (Δ Tre) in rectal temperature and EIGS variables was determined via Spearman’s rank correlation coefficients. While the strength of prediction was determined via simple and multiple linear regression analyses dependent on screened EIGS and Ex-GIS confounding factors. Significant positive correlations between Tre maximum (M-Tre) and change (Δ Tre) with I-FABP (rs=0.434, ps=0.305, ps=0.358, ps=0.362, pre and Δ Tre significantly predicted (adjusted R2) magnitude of change in I-FABP (R2(2,123)=0.164, p2(2,119)=0.058, p=0.011; respectively), sCD14 (R2(2,81)=0.249, p2(2,77)=0.214, pre and Δ Tre with plasma concentrations of I-FABP, sCD14, SIR-Profile, and Ex-GIS in response to exercise. M-Tre and Δ Tre can predict the magnitude of these EIGS variables and Ex-GIS in response to exercise.
- Published
- 2023
- Full Text
- View/download PDF