MétaCan
Menu
Back to cohort

The Effect of Cold and Warm Water Ingestion Prior to and During Passive Heating on Local Sweat Rate

2022· article· en· W4225403934 on OpenAlexafffund
Caileigh Leach, Douglas Newhouse, Nicholas Ravanelli

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldMaterials Science
TopicTextile materials and evaluations
Canadian institutionsThunder Bay Regional Research Institute
FundersLakehead University
KeywordsSWEATIngestionEnvironmental scienceChemistryMedicineInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND During heat stress, sweating is initiated to mitigate the rise in core temperature. Relative to warm water, previous evidence has demonstrated that cold water ingestion prior to exercise‐induced heat stress in compensable conditions delays the onset of sweating, and produces a reduction in local sweat rate immediately following ingestion. However, it remains unknown whether ingestion of cold water will elicit a similar delay in the onset of sweating and reduction in local sweating during more extreme thermal challenges. It is hypothesized that cold water ingestion prior to and during passive heat stress will result in a delayed onset of sweating and a reduction in local sweat rate in comparison to warm water. METHODS To date, three male participants (25±4 years, 82±8 kg, 1.9±0.1 m) have completed two passive heating sessions using a water perfused blanket system to increase rectal temperature by 1˚C above baseline. Participants ingested 3.2 ml‧kg‐1 (263±27 mL) of either cold (1.5˚C, CW) or warm (37˚C, WW) water five minutes before passive heating, and following a 0.5˚C and 1.0˚C increase in rectal temperature. Local sweat rate of the forearm and mean skin temperature were measured throughout baseline and passive heating. RESULTS Baseline rectal temperature was not different between CW (37.0±0.2˚C) and WW (36.9±0.1˚C, p=0.17) trials. Mean skin temperature was not different at baseline (CW: 33.5±0.2˚C, WW: 33.1±0.4˚C, p=0.60), and following a 0.5˚C (CW: 38.9±0.5˚C, WW: 38.9±0.6˚C, p = 0.99) and 1.0˚C (CW: 39.3±0.5˚C, WW: 39.2±0.4˚C, p=0.58) increase in rectal temperature. Mean body temperature at the onset of sweating on the forearm was not affected by the water temperature (CW: 37.1±0.2˚C, WW: 37.1±0.3˚C, p=0.79). When compared to the 5‐minutes before 37˚C water ingestion (PRE), mean local sweat rate of the forearm was not different during the 10‐minutes after (POST) at 0.5˚C (PRE: 0.98±0.23 mg‧cm‐2‧min‐1, POST: 1.05±0.36 mg‧cm‐2‧min‐1, p=0.48) and 1.0˚C (PRE: 1.11±0.37 mg‧cm‐2‧min‐1, POST: 1.15±0.49 mg‧cm‐2‧min‐1, p=0.74) increase in rectal temperature. Similarly, mean local sweat rate of the forearm was not different POST compared to PRE ingestion of 1.5˚C water following a 0.5˚C (PRE: 0.89±0.28 mg‧cm‐2‧min‐1, POST: 0.88±0.27 mg‧cm‐2‧min‐1, p=0.74) and 1.0˚C (PRE: 0.93±0.42 mg‧cm‐2‧min‐1, POST: 0.92±0.41 mg‧cm‐2‧min‐1, p=0.71) increase in rectal temperature. However, CW ingestion following a 0.5˚C increase in rectal temperature resulted in a lower local sweat rate of the forearm in comparison to WW for the remainder of heating (p<0.03). CONCLUSION Preliminary data suggest cold water ingestion may alter the local sweating response in young healthy males during passive heating.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.010
GPT teacher head0.246
Teacher spread0.236 · 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.

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
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB JournalSame topicTextile materials and evaluationsFrench-language works237,207