Influence of Aerobic Fitness on Thermoregulation During Exercise in the Heat
Notice bibliographique
Résumé
Dear Editor-in-Chief: We wish to challenge some of the expressed views in the review by Dr. Mora-Rodriguez entitled, “Influence of Aerobic Fitness on Thermoregulation during Exercise in the Heat” (3). Dr. Mora-Rodriguez stated that “contrary to what often is believed, aerobically trained individuals do not withstand higher core temperatures before fatiguing than untrained individuals” (3), supporting this statement with data that revealed no relationship between V˙O2max and final Tre tolerated for 17 active soldiers (4). Dr. Mora-Rodriguez suggested that others have questioned this finding, where reference was made to our efforts to define the impact of fitness and body fatness on tolerance to uncompensable heat stress (5). It needs to be emphasized that this study was specifically designed to test the effect of fitness on tolerance and grouped participants into active and inactive categories because earlier work observed differences in Tre tolerated between endurance-trained and untrained individuals, regardless of their state of heat acclimation or hydration (1). Subsequently, we demonstrated large differences in Tre tolerated between trained and untrained individuals during our efforts to characterize the immunoinflammatory cascade during exertional heat stress (6). It is important to highlight that as our understanding of factors that influenced tolerance to heat stress increased, our ethical ceiling for limits to final Tre slowly increased from 39.3°C (1) to 39.5°C (5) and finally to 40.0°C (6). When all 32 endurance-trained and 30 untrained participant data are analyzed together, the final Tre tolerated for the endurance-trained individuals continued to increase significantly as the ethical ceilings were raised, whereas no significant changes were observed for the untrained individuals (1,5,6). Overall, we believe that there is clear evidence that aerobic fitness enhances thermotolerance. There are pronounced adaptations that accompany aerobic exercise to account for the higher thermotolerance of endurance-trained individuals who were not discussed by Dr. Mora-Rodriguez (3). Their expanded plasma volume confers greater protection from gut endotoxin leakage as thermal strain rises (6). Cellular adaptations related to the expression of heat stress proteins and cytokine profiles reduce the impact of increasing thermal strain and help maintain gastrointestinal barrier integrity (6,7). Also, because a given absolute level of thermal strain represents a lower relative strain, key neuroendocrine markers are reduced (8,9). Dr. Mora-Rodriguez also proposed “that absolute heat production will have a greater influence on core body temperature during exercise of longer duration and/or higher intensities” and that “absolute intensity is a better predictor in an uncompensable heat stress situation” (3). We find this statement strange because this hypothesis is not new and was defined in a review by Cheung et al. (2) based on our studies that revealed differential effects of rehydration, heat acclimation, and vapor pressure on thermotolerance during light versus heavy work. As shown in Mora-Rodriguez’s figure 4, there are clear differences between compensable and uncompensable heat stress that cloud the interpretation of the responses between endurance-trained and untrained individuals (3). However, the greatest effects on thermotolerance are the adaptations obtained during endurance training, which includes key adaptive changes to the physiological, immunological, and neuroendocrine systems. We would welcome an open dialogue with Dr. Mora-Rodriguez to address our concerns. Tom M. McLellan Defence Research and Development Canada Toronto, Ontario, Canada Stephen S. Cheung Glen A. Selkirk Department of Kinesiology Brock University St. Catharines, Ontario, Canada Heather E. Wright Faculty of Health Sciences University of Ottawa Ottawa, Ontario, Canada
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».