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Vascular Function after Sauna Bathing in Healthy Older Adults

2018· article· en· W3174020994 on OpenAlexaffabout
Hugo Gravel, Hadiatou Barry, Parya Behzadi, Daniel Gagnon

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsMedicineReactive hyperemiaSupine positionBrachial arteryForearmCardiologyBlood pressureBathingIschemiaPopulationInternal medicineBlood flowSurgery

Abstract

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Repeated heat exposure by immersion in warm water improves vascular function in healthy young adults. This observation could explain the health benefits of sauna bathing reported in population‐based studies, in which regular sauna sessions lasting more than 19 minutes were shown to significantly decrease the risk of cardiovascular mortality. However, it is unknown if such sauna durations improve vascular function in older adults. The purpose of this study was to determine if 20 min of sauna bathing acutely improves vascular function in healthy older adults. Six older adults (4 women) without cardiovascular disease and risk factors (age range: 57–71 yrs) underwent a sauna bathing session consisting of 2 bouts of 10 min in a dry Finnish sauna (80°C) separated by 10 min of seated rest outside the sauna. Prior to and following sauna bathing, flow‐mediated dilation (FMD) of the brachial artery in response to reactive hyperemia induced by 5 min of forearm ischemia was assessed by Doppler ultrasound after a minimum of 30 min rest in the supine position in a quiet and thermoneutral environment. The percent change in artery diameter from baseline to peak was used as an index of macrovascular function, whereas post‐occlusive reactive hyperemia (PORH), estimated by the brachial artery flow area‐under‐the‐curve above baseline during the 3 min following ischemia, was used to evaluate microvascular function. Heart rate (HR), mean arterial pressure (MAP), oral temperature (Toral) and mean skin temperature (Tsk) were monitored throughout the study. Sauna caused an increase in HR (55 ± 8 to 86 ± 10 bpm, P <0.01), mean Tsk (33.0 ± 0.5 to 40.7 ± 0.7°C, P <0.01) and Toral (36.7 ± 0.3 to 37.4 ± 0.2°C, P =0.025) while changes in MAP were not statistically different (100 ± 8 to 90 ± 4 mmHg, p=0.137). At the time of FMD assessment, HR (53 ± 5 and 52 ± 5 bpm, P =0.56), MAP (92 ± 6 and 90 ± 5 mmHg, P =0.59) and Toral (36.8 ± 0.3 and 36.9 ± 0.1 °C, P =0.27) were similar before and after sauna bathing, whereas mean Tsk was elevated prior to the post‐sauna FMD assessment (34.3 ± 0.4 vs. 32.9 ± 0.5°C, P <0.01). FMD was similar before and after sauna bathing (4.79 ± 2.21% vs. 4.86 ± 2.73%, P =0.93). PORH was also similar before and after sauna bathing (286 ± 198 vs. 380 ± 168 ml, P =0.18). These preliminary results indicate that macro‐ and microvascular functions are unaffected by two 10 min bouts of sauna bathing at 80°C in healthy older adults. Support or Funding Information Funded by Fondation de l'Institut de cardiologie de Montréal and by Fonds de Recherche du Québec – Santé . This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.016
GPT teacher head0.276
Teacher spread0.260 · 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".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

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