The Effect of Cold and Warm Water Ingestion Prior to and During Passive Heating on Local Sweat Rate
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".