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Regional Variations in the Reliability of Local Sweat Rate Measured via the Ventilated Capsule Technique during Whole‐body Passive Heating

2020· article· en· W3016306077 on OpenAlexaffabout
Maura M. Rutherford, Ashley P. Akerman, Sean R. Notley, Robert D. Meade, Madison D. Schmidt, Mohamed R. Gemae, Glen P. Kenny

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMaterials Science
TopicTextile materials and evaluations
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSWEATReliability (semiconductor)Heat stressForearmConsistency (knowledge bases)MedicineSurgeryMathematicsAnimal scienceInternal medicine

Abstract

fetched live from OpenAlex

The ventilated capsule technique uses hygrometry to measure time‐dependent changes in sweating over small areas (~1–5 cm 2 ) on the body surface. Despite the widespread use of this technique, evaluations of its reliability (i.e., consistency) are sparse and have been restricted to a single region (forearm) during exercise‐heat stress. This presents a critical knowledge gap, as the reliability of this technique may be region‐specific due to inter‐regional variation in sweat rate. Further, understanding regional variations in the reliability of this technique has important practical utility for experimental design, statistical analysis, and sample size estimates. We therefore assessed the reliability of local sweating across various body regions during exposure to increasing levels of whole‐body heat stress. Sweat rate was measured using ventilated capsules (3.5 cm 2 ) at 9 locations (i.e., forehead, chest, abdomen, bicep, forearm, hand, quadriceps, calf, and foot) in twelve young men (age: 25 [SD 5] years). On three occasions, a whole‐body water perfused suit was used to raise and clamp esophageal temperature at three levels of hyperthermia: 1) +0.7 ± 0.1°C above baseline (low‐heat stress; LHS); 2) +1.3 ± 0.1°C (moderate‐heat stress; MHS); and 3) +1.8 ± 0.1°C (high‐heat stress; HHS). An average of the data collected in the final 5‐min of each heating stage (stable sweating) was used for analysis. Reliability was assessed using the interclass correlation coefficient (ICC; an index of measurement consistency), with values ≥0.7 considered suitable for research purposes. At LHS, average sweat rate across the 9 regions was 1.01 mg·min −1 ·cm −2 , ranging from 0.85 to 1.28 mg·min −1 ·cm −2 (foot and chest, respectively). The average ICC across regions was 0.66, ranging from 0.35 to 0.94 (forehead and chest, respectively). Of the 9 regions, abdomen (0.94), calf (0.81), forearm (0.79), quadriceps (0.78) and chest (0.74) exceeded the 0.7 ICC threshold. In the MHS condition, average sweat rate across all sites was 1.21 mg·min −1 ·cm −2 , ranging from 0.91 to 1.53 mg·min −1 ·cm −2 (bicep and chest, respectively). The average ICC across regions was 0.60, ranging from 0.15 to 0.88 (hand and abdomen, respectively). Of the 9 regions, abdomen (0.88), quadriceps (0.79) and forearm (0.77) exceeded the 0.7 ICC threshold. In the HHS condition, average sweat rate across all sites was 1.28 mg·min −1 ·cm −2 , ranging from 1.02 to 1.62 mg·min −1 ·cm −2 (quadriceps and chest, respectively). The average ICC across regions was 0.59, ranging from 0.21 to 0.86 (hand and abdomen, respectively). Of the 9 regions, abdomen (0.86), quadriceps (0.77) and calf (0.73) exceeded the 0.7 ICC threshold. Our findings indicate that the region and level of hyperthermia will impact the consistency of local sweat rates measured with the ventilated capsule technique and therefore the likelihood of detecting an effect of an intervention/comparison if one exists. Support or Funding Information Natural Sciences and Engineering Research Council of Canada.

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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)0.004
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.264
Teacher spread0.233 · 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
Published2020
Admission routes2
Has abstractyes

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