Discrepancies in the Change in Body Heat Content and Core Temperature Responses During Exercise Performed Under the Threshold Limit Values Exposure Guidelines
Notice bibliographique
Résumé
During exercise, especially in hot conditions, heat will be continuously stored within the body if the body's capacity to dissipate heat is insufficient to offset the rate of metabolic and environmental heat gain, causing tissue temperature to rise to potentially dangerous levels. For this reason, multiple guidelines have been developed to limit thermal strain during exercise in the heat. One such guideline is the American Conference of Governmental and Industrial Hygiene's (ACGIH) Threshold Limit Values (TLVs), which consist of work‐rest allocations that consider environmental conditions (expressed as wet‐bulb globe temperature [WBGT]) and work intensity (metabolic rate) with the goal of preventing core temperature from exceeding predefined thresholds (38.0°C in non‐heat acclimated workers). However, thermometric measurements (core and skin temperatures), on which the TLV core temperature thresholds are based, underestimate the change in body heat content (ΔH b ) during exercise. Therefore, we evaluated heat strain through thermometry and ΔH b via direct calorimetry during work performed in accordance with the TLVs. Nine young males (21±3 years) cycled at a fixed rate of heat production of 360 W (considered the onset of a moderate work demand by ACGIH) under four combinations of work‐rest ratios (WR) and environmental conditions (WGBT). Each protocol was 120 min in duration. The first protocol consisted of 120‐min of continuous cycling at a WBGT of 28.0°C (CON[28.0°C]). In the remaining three protocols, intermittent work bouts were performed under increasing WBGT requiring longer recovery periods: i) WR3:1[29.0°C], WR of 3:1, WBGT of 29.0°C; ii) WR1:1[30.0°C], WR of 1:1, WBGT of 30.0 and iii) WR1:3[31.5°C], WR of 1:3, WBGT of 31.5. ΔH b was quantified as the cumulative sum of heat production (indirect calorimetry) and whole‐body heat loss (direct calorimetry). Mean body temperature was subsequently calculated from ΔH b and compared to the mean body temperature response estimated with thermometry. ΔH b was similar between conditions (CON[28.0°C], 285±121 kJ; WR3:1[28.0°C], 323±82 kJ; WR1:1[30.0°C], 279±107 kJ; WR1:1[31.5°C], 352±48 kJ; P=0.70). However, when responses were compared, a greater increase in mean body temperature was observed with direct calorimetry relative to thermometry in WR3:1[28.0°C] (calorimetry (C): 1.19±0.33°C, thermometry (T): 0.67±0.22°C; P=0.03), WR1:1[30.0°C] (C: 0.99±0.33°C, T: 0.47±0.11°C; P=0.02) and WR1:3[31.5°C] (C: 1.29±0.18°C, T: 0.43±0.12°C; P<0.01) but not CON[28.0°C] (C: 1.05±0.44°C, T: 0.86±0.44°C; P=0.32). We show that work performed under the TLVs resulted in the same ΔH b in various environmental conditions; however, these responses differed from those observed with thermometry, on which the TLV exposure limits are based. Support or Funding Information Natural Sciences and Engineering Research Council of Canada and the Deep Mining Research Consortium (funds held by Dr. Glen P. Kenny).
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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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 ».