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The Sex-Dependent Effect of Alcohol Consumption on Physiological Responses and Perception to Acute Heat Stress

2025· article· en· W4411875107 on OpenAlexaffabout
KarLee Lefebvre, Amy Brough, Georgia K. Chaseling, Nathan B. Morris, Nicholas Ravanelli

Bibliographic record

VenuePhysiology · 2025
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsLakehead University
Fundersnot available
KeywordsAlcohol consumptionHeat stressStress (linguistics)Consumption (sociology)AlcoholPerceptionPsychologyMedicinePhysiologyClinical psychologyInternal medicineBiologyNeuroscienceBiochemistryAnimal science

Abstract

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Introduction: Public health agencies caution alcohol consumption during periods of extreme heat as it may impair thermoregulatory responses and exacerbate dehydration. Despite a sparsity of data confirming these outcomes, our research team recently concluded from a systematic review that no study has explored the physiological and perceptual effects of alcohol consumption in females during heat stress. Hypothesis: We hypothesize that biological sex will not independently alter the physiological response and perception during heat exposure. Methods: Participants completed two trials on separate days in random order. Upon arrival, participants voided their bladder, were instrumented, and entered a room maintained at 40°C & 25%RH. After a 30-minute baseline, they consumed either i) an alcoholic beverage (ALC, orange juice and 80-proof gin) sufficient to target a blood alcohol concentration of ~0.08 mg/ml, or ii) a volume matched placebo (PLA, orange juice and tonic) over 30 minutes, and the rested for 120 minutes. Blood alcohol concentration, core and mean skin temperature, whole-body sweating, heart rate, and skin blood flow were assessed at baseline (pre-drink) and every 30 minutes thereafter. Urine volume output was calculated from the sum of micturition following beverage consumption and immediately after heat stress. Results: 19 participants (10 males: 23±4 y, 82.0±11.6 kg, 1.8±0.1 m; 9 females: 23±3 y, 70.4±15.5 kg, 1.7±0.1 m) participated in this study. Mean blood alcohol content during the ALC trial was similar between sexes (males: 0.092±0.017; females: 0.086±0.016, p=0.30). Relative to PLA, alcohol resulted in a higher heart rate during heat exposure (males: +9±7 BPM; females: +8±10 BPM; p<0.001), with no difference observed between sexes (p=0.97). Skin blood flow was higher with ALC compared to PLA (males: +5±16%; females: +11±17%; p<0.001), with no difference between sexes (p=0.91). Mean arterial blood pressure during heat stress was lower with ALC compared to PLA (males: -4±8mmHg; females: -4±10; p=0.001), however the effect was similar between sexes (p=0.19). Urine volume was higher with ALC (males: +243±357mL; females: +447±227mL; p<0.001), with no effect of sex (p=0.10). The change in core temperature was unaffected by ALC (males: +0.06±0.22°C; females:+0.01±0.32°C; p=0.94) and not different between sexes (p=0.99). Mean skin temperature was not affected by ALC (males: +0.13±0.38°C; females: -0.02±0.60°C; p=0.88) or sex (p=0.99). While whole-body sweat loss was lower in females (p=0.002), sex did not independently modulate the whole-body sweating response following ALC (males: -17±144 g; females: 41±149; p=0.32). Thermal comfort was not affected by ALC (male: -9±27 mm; female:, -1±26 mm; p=0.18) and was not independently modified by sex (p=0.36). While thermal sensation was lower in females (p=0.01), sex did not modulate thermal sensation following ALC compared to PLA (male: -4±17 mm; female:, -3±22 mm; p=0.65). Conclusion: Biological sex did not independently alter the physiological response and perception to heat stress following alcohol consumption compared to placebo. Nonetheless, alcohol results in a higher heart rate and skin blood flow, lower mean blood pressure, and a greater risk of dehydration mediated through increased urine output. Dr. Ravanelli’s Lakehead University Research Funding and the Natural Sciences and Engineering Research Council of Canada Discovery Grant (PIN#2022-05096) This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

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.

How this classification was reachedexpand

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 categoriesnone
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 score0.908
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

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

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 head0.031
GPT teacher head0.372
Teacher spread0.340 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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