MétaCan
Menu
Back to cohort
Record W4406904037 · doi:10.36950/2025.2ciss012

Fifteen-second bouts of hyperoxia improve 5-minute time-trial performance in acute hypoxic conditions

2025· article· en· W4406904037 on OpenAlexaff
Martin Faulhaber, S. Schneider, Linda Rausch, Tobias Dünnwald, Verena Menz, Hannes Gatterer, Michael D. Kennedy, Wolfgang Schobersberger

Bibliographic record

VenueCurrent Issues in Sport Science (CISS) · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHyperoxiaMedicineHypoxia (environmental)Time trialAnesthesiaCardiologyInternal medicineChemistryOxygenBlood pressureHeart rateLung

Abstract

fetched live from OpenAlex

Introduction Hyperoxia, e.g. administration of 100 % oxygen, is a wide spread tool to improve blood oxygenation (e.g. in emergency medicine) but is also applied in elite sports to improve training intensity or competition performance. The positive effects of continuous hyperoxia during aerobic high-intensity exercise has been shown repeatedly, however, the potential effects of intermittent doses are unclear. Out study aimed to test the effects of repeated bouts of hyperoxia, each lasting fifteen seconds, on maximal 5-minute cycling performance under acute hypoxic conditions. Methods 17 healthy and recreationally trained individuals (7 females, 10 males, age 27 ± 4 years) participated in this randomized placebo-controlled cross-over trial. The procedures included a graded cycle ergometer test until exhaustion and three maximal 5-minute cycling time trials (TT). The peak power output during the maximal cycle ergometer test provided the basis for the determination of the target power output for the TTs. The subsequent TTs were conducted in a normobaric hypoxic chamber at the Department of Sport Science of the University Innsbruck (590 m). TT1 took place in normoxia and served for habituation and reference. TT2 and TT3 were conducted in normobaric hypoxia (15.0 % inspiratory fraction of oxygen, corresponding to about 3200 m simulated altitude). During TT2 and TT3 the participants were breathing through a face mask during five 15-second periods (0:20 to 0:35; 1:20 to 1:35; etc.). The face mask was connected via a non-rebreathing T-valve to a 300-litre bag filled with 100 % oxygen (intermittent hyperoxia condition) or ambient hypoxic air (placebo condition). Heart rate was recorded continuously during the TTs. Ratings or perceived exertion were recorded after test termination and capillary blood samples were taken from the hyperaemic earlobe 2 minutes later to analyze blood lactate concentrations. Arterial oxygen saturation was measured via finger pulse oximeter during a 60-second period (ca. minutes 2:00 to 3:00). Thereby, one 15-second hyperoxic intervention bout during the test in the intermittent hyperoxia condition was included. Main outcome was the mean power output during the TT. Statistical significance level was set at p < 0.05. Results Mean power output was higher in the intermittent hyperoxia compared to the placebo condition (255.5 ± 49.6 W versus 247.4 ± 48.2 W, p = 0.001). Blood lactate concentration and ratings of perceived exertion were significantly lower in the intermittent hyperoxia compared to the placebo condition (10.2 ± 1.7 mmol/L versus 11.3 ± 2.5 mmol/L and 17.8 ± 1.4 versus 19.2 ± 1.1 respectively). However, heart rate values were unchanged between conditions (168.0 ± 8.6 bpm versus 169.4 ± 10.3 bpm, p = 0.332). Arterial oxygen saturation increased by the 15-second application of hyperoxia (82.9 ± 2.6 % to 92.4 ± 3.3 %, p < 0.001). Conclusion Repeated 15-second bouts of hyperoxia, applied during high-intensity exercise in hypoxia, are sufficient to increase power output. Future studies should focus on potential dose-response effects and the involved mechanisms.

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)0.000
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0030.000

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 head0.009
GPT teacher head0.307
Teacher spread0.298 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCurrent Issues in Sport Science (CISS)Same topicHigh Altitude and HypoxiaFrench-language works237,207