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Thermal Hyperpnea in Humans Changes Following Passive Heat Acclimation

2020· article· en· W3016976186 on OpenAlexaffabout
Clara Vada Etter, Andrew E. Beaudin, M.L. Walsh, Matthew D. White

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsAcclimatizationVentilation (architecture)Animal scienceMedicineHyperpneaChemistryInternal medicineBiologyRespiratory systemBotanyMeteorology

Abstract

fetched live from OpenAlex

Introduction Exercise ventilation was shown to increase after a 10‐day, 2 h·day −1 passive heat acclimation (HA) to 50°C and 20 % RH and this study assessed if thermal hyperpnoea for those at rest show a similar adaptation. Purpose It was hypothesized that similar to that seen for eccrine sweating and cutaneous blood flow, the core temperature thresholds for human pulmonary ventilation would decrease after heat acclimation. It was also hypothesized that pulmonary ventilation would increase following heat acclimation as it does for an active heat acclimation. Methods Six male participants performed two 40°C immersions separated by a 10‐day passive heat acclimation. Heat acclimation included 10 consecutive days with participants’ rectal temperatures maintained between 38.5–39.0°C. The heat acclimation was performed in a climatic chamber at 50°C and 20 % RH where participants remained seated at rest for 2 hr·day −1 . A repeated measures ANOVA was employed with factors of Acclimation State (Pre & Post) and delta T ES (0 to 1.4°C from rest). The p value was set at 0.05. An ANOVA with oxygen consumption as the covariate was employed to assess for heat acclimation‐induced changes in pulmonary ventilation. This study was approved by the SFU Office of Research Ethics. Results Acclimation was confirmed by a decrease in resting esophageal temperature (T ES ) from 37.70 ± 0.19 (mean ± SD) to 37.31 ± 0.11°C (p=0.001), as well as by significant decreases in the T ES thresholds for temple cutaneous blood velocity from 37.30 ± 0.12 to 37.07 ± 0.13°C (p=0.014) and for forehead eccrine sweating from 37.60 ± 0.25 to 37.25 ± 0.22°C (p=0.03). The pulmonary ventilation thresholds were 38.28 ± 0.28 before and 37.84 ± 0.44°C after heat acclimation (p=0.13). After accounting for the covariate of oxygen consumption, a significant main effect of Acclimation State (F=10.05, p=0.025) plus an acclimation state x delta T ES interaction for pulmonary ventilation (F=3.6, p=0.008) were explained by a significantly greater pulmonary ventilation following acclimation at delta T ES of 0.6, 0.8, 1.0°C (0.018 Conclusion Following a passive heat acclimation the resting T ES and T ES thresholds for human thermoregulatory responses were significantly lower and pulmonary ventilation was significantly increased during passive heating as indicative of an increased thermal hyperpnea. Support or Funding Information Funding Source This project was supported by Natural Sciences and Engineering Research Council of Canada and the Canada Foundation for Innovation.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.057
GPT teacher head0.301
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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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