Maximum Skin Wettedness after Aerobic Training with and without Heat Acclimation
Bibliographic record
Abstract
PURPOSE: To quantify how maximum skin wettedness (ωmax); that is, the determinant of the boundary between compensable and uncompensable heat stress, is altered by aerobic training in previously unfit individuals and further augmented by heat acclimation. METHODS: Eight untrained individuals completed an 8-wk aerobic training program immediately followed by 8 d of hot/humid (38°C, 65%RH) heat acclimation. Participants completed a humidity ramp protocol pretraining (PRE-TRN), posttraining (POST-TRN), and after heat acclimation (POST-HA), involving treadmill marching at a heat production of 450 W for 105 min in 37.5°C, 2.0 kPa (35%RH). After attaining a steady-state esophageal temperature (Tes), humidity increased 0.04 kPa·min. An upward inflection in Tes indicated the upper limit of physiological compensability (Pcrit), which was then used to quantify ωmax. Local sweat rate, activated sweat gland density, and sweat gland output on the back and arm were simultaneously measured throughout. RESULTS: Peak aerobic capacity increased POST-TRN by approximately 14% (PRE-TRN: 45.8 ± 11.8 mL·kg·min; POST-TRN: 52.0 ± 11.1 mL·kg·min, P < 0.001). ωmax values became progressively greater from PRE-TRN (0.72 ± 0.06) to POST-TRN (0.84 ± 0.08; P = 0.02), to POST-HA (0.95 ± 0.05; P = 0.03). These shifts in ωmax were facilitated by a progressively greater local sweat rate and activated sweat gland density from PRE-TRN (0.84 ± 0.21 mg·cm·min; 67 ± 20 glands per square centimeter) to POST-TRN (0.96 ± 0.21 mg·cm·min, P = 0.03; 86 ± 27 glands per square centimeter; P = 0.009), to POST-HA (1.15 ± 0.21 mg·cm·min; P < 0.001; 98 ± 35 glands per square centimeter; P < 0.001). No differences in sweat gland output were observed. CONCLUSIONS: A greater ωmax occurred after 8 wk of aerobic training, but ωmax was further augmented with heat acclimation, indicating only a partially increased heat loss capacity with training. These ωmax values may assist future predictions of heat stress risk in untrained/trained unacclimated individuals and trained heat-acclimated individuals.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".