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Record W2023512175 · doi:10.1139/h00-034

Nutritional Supplementation and Resistance Exercise: What Is the Evidence for Enhanced Skeletal Muscle Hypertrophy?

2000· review· en· W2023512175 on OpenAlexaff
Martin J. Gibala

Bibliographic record

VenueCanadian Journal of Applied Physiology · 2000
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMuscle hypertrophySkeletal muscleInternal medicineResistance trainingEndocrinologyCreatineIngestionMedicineInsulin resistanceExercise physiologyInsulin

Abstract

fetched live from OpenAlex

Many athletes and recreational weightlifters believe that dietary manipulations' either following a single bout of resistance exercise or during habitual training may augment the normal gains in muscle fibre hypertrophy. Very few studies, however, have directly examined the effect of nutritional supplementation on muscle protein metabolism after resistance exercise. Ingestion of an amino acid and/or carbohydrate solution during the initial hours following a single bout of resistance exercise promotes an acute increase in protein net balance compared to the fasted state. The precise mechanism involved has not been elucidated but seems related to an increased availability of intracellular amino acids and/or an increase in plasma insulin concentration. As a practical recommendation, therefore, postexercise feeding appears to be very important. Recent evidence suggests that creatine supplementation in conjunction with resistance training may elicit larger increases in muscle fiber cross-sectional area compared to training alone. This intervention may be most beneficial in persons with "compromised" skeletal muscle.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.003

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 head0.025
GPT teacher head0.291
Teacher spread0.266 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations20
Published2000
Admission routes1
Has abstractyes

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