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Vo2 And Muscle Deoxygenation Kinetics In Moderateintensity Exercise

2005· article· en· W4254251784 on OpenAlexaffabout
Lisa M. K. Chin, Tim J.H. Chaplin, Natasha N.R. Rowling, Ryan J. Leigh, Donald H. Paterson, John M. Kowalchuk

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2005
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsWestern University
Fundersnot available
KeywordsHyperventilationHeart rateDeoxygenationVentilatory thresholdChemistryRespiratory alkalosisInternal medicineKineticsCardiologyMedicineVO2 maxBlood pressureBiochemistry

Abstract

fetched live from OpenAlex

Hyperventilation-induced respiratory-alkalosis (R-ALK) was shown to slow the adaptation of pulmonary O2 uptake (VO2) during moderate-intensity exercise (MOD; Leigh, MSc thesis (UWO), 2003). Also prior heavy-intensity exercise (HVY) was shown to speed VO2 kinetics in young adults exhibiting “slow” VO2 kinetics without warm-up (Gurd, MSc thesis (UWO), 2003). PURPOSE To examine the combined effects of R-ALK and HVY on VO2 kinetics at the onset of MOD. METHODS Young male adults (n = 7; age, 23±3 yrs; mean ± SD) completed 4 repetitions of leg cycling exercise during normal breathing (CON; PETCO2 ∼40 mmHg) and controlled hyperventilation (R-ALK; PETCO2 ∼20 mmHg). The protocol consisted of two step transitions in work rate (MOD1 and MOD2) from 20W to 80% estimated lactate threshold, with MOD2 preceded by HVY (Δ50%); each transition was preceded and followed by 20W exercise. VO2 and heart rate (HR) were measured breath-by-breath and beat-by-beat, respectively. Changes in deoxy- (HHb), oxy- (O2Hb) and total hemoglobin (HbTOT) of the vastus lateralis were measured continuously by nearinfrared spectroscopy (NIRS; Hamamatsu, NIRO 300). Adaptation of VO2, HR and HHb were modeled using a mono-exponential equation and non-linear regression techniques. RESULTS The phase 2 VO2 time constant (τVO2) during MOD1 was greater (p < 0.05) in R-ALK (45±24 s) than CON (28±17 s). After HVY, τVO2 was reduced (p < 0.05) in R-ALK only, such that there was no difference between conditions (R-ALK: 24±7 s; CON: 20±8 s). The HHb mean response time (TD + τHHb) was not different amongst conditions (R-ALK: MOD1, 20±3 s, MOD2, 22±10 s; CON: MOD1, 23±2 s, MOD2, 22±7 s). Prior to exercise transitions, baseline HbTOT was elevated (p < 0.05) after (R-ALK: 5±7 μM; CON: 6±6 μM) compared to before HVY (R-ALK: −7±4 μM; CON: −6±3 μM), with no difference between conditions. CONCLUSION In MOD1 the slower VO2 kinetics, but similar HHb kinetics, in R-ALK compared to CON is consistent with a blood flow limitation within the muscle during R-ALK. After HVY, improved muscle perfusion and O2 delivery was seen in both conditions, however the speeding of VO2 kinetics seen in only R-ALK, is consistent with a removal of a blood flow limitation in R-ALK but not CON. Supported by NSERC, Canada.

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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.014
GPT teacher head0.265
Teacher spread0.252 · 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
Published2005
Admission routes2
Has abstractyes

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