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Does Exercise Intensity Influence Dietary Protein Requirements Of Male Endurance Athletes?

2020· article· en· W3041576808 on OpenAlexaff
Carolyn P Adams, Jenna B. Gillen, Daniel W. D. West, Daniel R. Moore

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEndurance trainingExercise intensityPhenylalanineInternal medicineAthletesExercise physiologyMedicineIntensity (physics)ChemistryAnimal scienceEndocrinologyPhysical therapyAmino acidBiochemistryHeart rateBiologyBlood pressure

Abstract

fetched live from OpenAlex

Adequate protein intake is important for endurance athletes to replenish exercise-induced amino acid (AA) oxidation and support post-exercise muscle and whole body protein synthesis. High-intensity endurance exercise is associated with increased carbohydrate oxidation during exercise and greater protein turnover (synthesis and breakdown) after exercise relative to lower intensity exercise. Muscle glycogen depletion can increase AA oxidation during exercise and increase daily protein requirements. PURPOSE: To determine the impact of exercise intensity during prolonged endurance exercise on estimates of dietary protein requirements in endurance athletes. METHODS: Eight males (26±3y, 76±16kg; 62±6 ml O2·kg-1· min-1; mean±SD) completed two trials in a randomized order with exercise (20-km run) performed at a low (LOW; 72±1% HRmax, 55±5% VO2peak) or high (HIGH; 88±1%HRmax, 75±7% VO2peak) intensity. After 2 days of exercise and dietary (1.4g·kg-1·d-1 protein) control, participants consumed 0.6g·kg-1 CHO before a 20-km treadmill run with continuous HR monitoring and periodic measurement of gas exchange (indirect calorimetry). During the 8h post-exercise recovery period, participants consumed 8.6g·kg-1·d-1 CHO and hourly meals providing 0.93g ·kg-1·d-1 protein as crystalline AA modeled after egg protein, which was enriched with [13C]phenylalanine as an indicator AA. Breath and urine were collected at isotopic and metabolic steady state to determine phenylalanine excretion (F13CO2), flux (Q; estimate of protein breakdown), and oxidation (OX; reciprocal of protein synthesis). RESULTS: Preliminary analysis (n=6) showed that respiratory exchange ratio during exercise was higher in HIGH vs. LOW (0.92±0.03 vs. 0.88±0.03, p<0.05), which corresponded to a 37% greater CHO oxidation rate in HIGH (3.12±0.76 vs. 1.96±0.52 g·min-1, p<0.01). Exercise duration was shorter in HIGH vs LOW (86±18 vs. 112±23 min, p<0.01). F13CO2 was not different between trials (HIGH: 0.94±0.25 vs. LOW: 0.89±0.14 umol·kg-1·h-1, p>0.05). Urinary analysis is ongoing to determine Q and OX. CONCLUSION: Preliminary findings suggest that prolonged, high-intensity endurance exercise increases CHO oxidation during exercise but has little impact on estimates of protein requirements of male endurance athletes.

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)0.001
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.016
GPT teacher head0.262
Teacher spread0.245 · 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 routes1
Has abstractyes

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