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The Physiological and Perceptual Responses During Acute Heat Stress Following Alcohol Consumption

2024· article· en· W4398175528 on OpenAlexaffabout
Amy Brough, KarLee Lefebvre, Emily Mihalcin, Nicholas Ravanelli

Bibliographic record

VenuePhysiology · 2024
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsLakehead University
Fundersnot available
KeywordsHeat stressAlcohol consumptionConsumption (sociology)AlcoholPerceptionMedicineStress (linguistics)PsychologyPhysiologyInternal medicineNeuroscienceChemistryBiologyBiochemistryAnimal science

Abstract

fetched live from OpenAlex

Introduction: Alcohol consumption has been suggested to increase the risk of heat-related injury during heat waves, however, current evidence remains inconclusive on the underlying mechanisms. The purpose of the proposed study was to investigate whether alcohol consumption would alter physiological and perceptual responses during heat stress relative to a volume matched placebo. Methods: 5 participants (2 females 25.2±7.8 y; 77.9±23.1 kg; 1.7±0.2 m) have completed two experimental trials presented in random order on separate days. Participants voided their bladder upon arrival to the lab, were instrumented and entered a climate room maintained at 40°C & 25%RH, completed a 20 minute baseline to equilibrate with the environment, and then consumed either i) an alcoholic beverage (ALC, orange juice and 80-proof gin) suffcient 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 rested for an additional 120 minutes in the heat. Blood alcohol concentration, core and mean skin temperature, heart rate, blood pressure, thermal comfort, and thermal sensation were assessed before beverage consumption, and every 30 minutes thereafter. Urine production was calculated as the sum of all micturition during and immediately following the heat exposure. Whole-body sweat loss was calculated as the net difference in mass following the 120-min heat exposure accounting for urine output. Results: No differences were observed at baseline for core temperature (PLA: 37.0±0.3°C, ALC: 36.9±0.2°C, P=0.12), heart rate (PLA: 82±10 BPM, ALC: 81±12 BPM, P=0.89), mean arterial pressure (PLA: 95±5 mmHg, ALC: 97±9 mmHg, P=0.61), and thermal comfort (P=0.21) and sensation (P>0.55). Blood alcohol concentration was 0.10±0.02 mg/ml at 30 minutes following alcohol consumption, and remained elevated at 120-min (0.09±0.01 mg/ml). Throughout heat exposure, core (P>0.49) and mean skin (P>0.61) temperature were not different between PLA and ALC. Thermal comfort was not different between PLA and ALC throughout heat exposure (P≥0.16), however a reduced thermal sensation was observed with ALC compared to PLA at 120-min (P=0.02). Heart rate was higher with ALC compared to PLA at 60-min (ALC: 94±12 BPM, PLA: 88±10 BPM, p<0.02), and remained higher with ALC compared to PLA throughout the remaining heat exposure (p<0.001). Mean arterial pressure was lower at 30-min with ALC (86±10 mmHg) compared to PLA (98±5 mmHg, p<0.001), and remained lower with ALC throughout heat exposure (p<0.001). Urine production was not different between PLA (559±254 ml) and ALC (681±101 ml, P=0.32). Whole-body sweat losses were not different between PLA (398±161 g) and ALC (477±242 g, P =0.52). Conclusion: Preliminary results suggest that the consumption of alcohol does not alter whole-body sweating, core and skin temperature, thermal comfort, and urine production during acute heat stress. However, relative to placebo, alcohol consumption increased heart rate and reduced mean arterial pressure during acute heat stress, and reduced thermal sensation. This research was supported by Dr. Ravanelli’s Lakehead University Research Funding and the Natural Sciences and Engineering Research Council of Canada Discovery Grant (PIN#2022-05096). This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology 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 score0.990
Threshold uncertainty score0.385

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 head0.053
GPT teacher head0.359
Teacher spread0.306 · 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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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