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Record W3010010845 · doi:10.1113/ep088385

A retrospective analysis to determine if exercise training‐induced thermoregulatory adaptations are mediated by increased fitness or heat acclimation

2020· article· en· W3010010845 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueExperimental Physiology · 2020
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsUniversité de MontréalUniversity of OttawaMontreal Heart Institute
Fundersnot available
KeywordsVO2 maxThermoregulationAcclimatizationAerobic exerciseAnimal scienceHeat stressRunning economyHeart rateChemistryMedicineInternal medicineBiologyEcologyBlood pressure

Abstract

fetched live from OpenAlex

New Findings What is the central question of this study? Are fitness‐related improvements in thermoregulatory responses during uncompensable heat stress mediated by aerobic capacity or is it the partial heat acclimation associated with training? What is the main finding and its importance? During uncompensable heat stress, individuals with high and low displayed similar sweating and core temperature responses whereas exercise training in previously untrained individuals resulted in a greater sweat rate and a smaller rise in core temperature. These observations suggest that it is training, not per se , that mediates thermoregulatory improvements during uncompensable heat stress. Abstract It remains unclear whether aerobic fitness, as defined by the maximum rate of oxygen consumption , independently improves heat dissipation in uncompensable environments, or whether the thermoregulatory adaptations associated with heat acclimation are due to repeated bouts of exercise‐induced heat stress during regular aerobic training. The present analysis sought to determine if independently influences thermoregulatory sweating, maximum skin wettedness (ω max ) and the change in rectal temperature (Δ T re ) during 60 min of exercise in an uncompensable environment (37.0 ± 0.8°C, 4.0 ± 0.2 kPa, 64 ± 3% relative humidity) at a fixed rate of heat production per unit mass (6 W kg −1 ). Retrospective analyses were performed on 22 participants (3 groups), aerobically unfit (UF; n = 7; : 41.7 ± 9.4 ml kg −1 min −1 ), aerobically fit (F; n = 7; : 55.6 ± 4.3 ml kg −1 min −1 ; P < 0.01) and aerobically unfit ( n = 8) individuals, before (pre; : 45.8 ± 11.6 ml kg −1 min −1 ) and after (post; : 52.0 ± 11.1 ml kg −1 min −1 ; P < 0.001) an 8‐week training intervention. ω max was similar between UF (0.74 ± 0.09) and F (0.78 ± 0.08, P = 0.22). However, ω max was greater post‐ (0.84 ± 0.08) compared to pre‐ (0.72 ± 0.06, P = 0.02) training. During exercise, mean local sweat rate (forearm and upper‐back) was greater post‐ (1.24 ± 0.20 mg cm −2 min −1 ) compared to pre‐ (1.04 ± 0.25 mg cm −2 min −1 , P < 0.01) training, but similar between UF (0.94 ± 0.31 mg cm −2 min −1 , P = 0.90) and F (1.02 ± 0.30 mg cm −2 min −1 ). The Δ T re at 60 min of exercise was greater pre‐ (1.13 ± 0.16°C, P < 0.01) compared to post‐ (0.96 ± 0.14°C) training, but similar between UF (0.85 ± 0.29°C, P = 0.22) and F (0.95 ± 0.22°C). Taken together, aerobic training, not per se , confers an increased ω max , greater sweat rate, and smaller rise in core temperature during uncompensable heat stress in fit individuals.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.071
GPT teacher head0.328
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it