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Seven Interval Training Sessions Increases Skeletal Muscle Capacity for Fat Oxidation in Active Females

2006· article· en· W1984343013 on OpenAlexaff
Stuart D. R. Galloway, Jason L. Talanian, George J. F. Heigenhauser, Arend Bonen, Lawrence L. Spriet

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2006
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsMcMaster UniversityUniversity of Guelph
Fundersnot available
KeywordsInterval trainingSkeletal muscleSprintHigh-intensity interval trainingMedicineCitrate synthaseCyclingEndurance trainingPhysical therapyAnimal scienceInternal medicineChemistryBiologyBiochemistry

Abstract

fetched live from OpenAlex

Endurance training has been demonstrated to increase the capacity for fat oxidation, and recently 2 weeks of short-term sprint interval training has been demonstrated to increase skeletal muscle activity of citrate synthase (CS). However, the effects of lower-intensity interval training (∼90% VO2max) protocols on muscle metabolism have not been investigated. PURPOSE: We aimed to investigate whether seven high-intensity interval training sessions could increase skeletal muscle capacity for fat oxidation and alter substrate utilisation during 1 hr of cycling in active females. METHODS: Eight active females participated in the study. Following assessment of VO2max and familiarisation trials, subjects cycled for 1 hr at 62% of VO2max (PRE) with expired gas and blood collected during exercise, and skeletal muscle biopsies obtained from vastus lateralis immediately prior to and following exercise. Subjects then rested for a minimum of 2 days prior to entering the interval training period which involved 7 × 1 hr sessions of cycle ergometer interval training (10 repeats of 4 min intervals at 90% of VO2max with 2 min recoveries) conducted every other day over a 2 week period. Subjects then performed a final 1hr ride 2 days after the final training session (POST). RESULTS: VO2max increased by 12% as a result of training and the 1hr exercise intensity POST was 53% of the new VO2max. Whole body RER decreased and estimated fat oxidation increased POST compared with PRE (p<0.05; mean RER of 0.90±0.01 vs. 0.86±0.02 over 1hr of exercise). Activities of CS and β-HAD were both significantly increased (p<0.05) in baseline muscle biopsies obtained POST vs. PRE (CS, 29.3±1.6 vs. 24.5±1.9 and β-HAD, 20.4±1.4vs. 15.4±1.6 umol/g wet muscle/min). No significant difference was observed in muscle glycogen content (mmol glucosyl units/g dry muscle) at baseline between PRE and POST trials (469±25 vs. 475±26), but glycogen content after 1hr exercise was significantly lower (p<0.05) PRE compared to POST (137±17vs. 182±15). Plasma epinephrine (nM) was lower during exercise POST compared with PRE (at 1hr: 0.75±0.12vs. 1.10±0.15, p<0.01) and blood lactate was also lower POST. There was no difference in baseline or 1hr exercise concentrations of muscle PCr, Cr, ATP, or lactate. Skeletal muscle total content (arbitrary units) of FABPpm was increased from PRE to POST training (1034±124 vs. 1289±124 AU, p<0.01) but no change was observed in FAT/CD36 protein content (867±96 vs. 888±79 AU). CONCLUSION: High-intensity interval training over only 2 weeks in active females induces a marked increase in whole body and skeletal muscle capacity for fat oxidation during exercise, resulting in glycogen sparing.

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

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)0.0030.000

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 head0.043
GPT teacher head0.320
Teacher spread0.276 · 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 designNon-randomized trial
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
Published2006
Admission routes1
Has abstractyes

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