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Effects of Creatine Nitrate and Caffeine Alone and Co‐ingested on Anaerobic and Muscular Endurance Performance

2022· article· en· W4225414392 on OpenAlexaff
M Koozehchian, Gina Mabrey, Andrew D. Newton, Scott C. Forbes, Alireza Naderi, Monoem Haddad

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsBrandon University
Fundersnot available
KeywordsAnaerobic exerciseMaltodextrinCreatineCaffeineBench pressAnimal sciencePlaceboAnalysis of varianceIngestionWingate testCreatine MonohydrateRepeated measures designChemistryCrossover studyTime trialMedicineInternal medicinePhysical therapyHeart rateBlood pressureResistance trainingMathematicsBiologyChromatography

Abstract

fetched live from OpenAlex

BACKGROUND Ingestion of creatine nitrate and caffeine individually improve anaerobic and muscular endurance performance; however, co‐ingestion of creatine nitrate and caffeine remains unclear. METHODS In a double‐blind, randomized, placebo‐controlled cross over study, 12 resistance‐trained participants (22±1 y; 180.0±9.5 cm; 85.9±15.1 kg) completed 4 conditions in random order: creatine nitrate (CN: 5 g/day + 0.675 g/day of maltodextrin), caffeine (CAF: 400 mg/day + 5 g/day of maltodextrin), CN+CAF (5 g/day of creatine nitrate + 400 mg/day of caffeine), and placebo (PL: 5.4 g/day of maltodextrin). Supplements were ingested for 7 days with a 7‐day washout period between conditions. Before and after supplementation, muscular endurance (bench press and leg press; 3 sets at 70% 1RM) and a Wingate anaerobic test were performed. Peak power (PP), mean power (MP), and fatigue index (FI) were calculated. Data were analyzed using a two‐way (within‐within) analysis of variance (p≤0.05) with a Tukey’s post hoc when appropriate. Absolute change (post minus pre‐testing) was calculated and analyzed with a repeated‐measures ANOVA. RESULTS There was a significant main effect of time for both leg press (p=0.009) and bench press (p<0.001) with post‐testing greater than pre‐testing; however, there were no differences between conditions. For peak power, there was no significant interaction (p=0.436), the main effect of time (p=0.967), or differences between conditions for absolute change (p=0.436). For mean power, there was a significant interaction (p=0.037); however, post hoc analysis revealed no significant pairwise effects; however, absolute change for mean power between conditions was significant (p=0.037), with post hoc analysis revealing a trend (p<0.10) for both CN conditions (CN alone and CN+CAF) to be superior compared to CAF. There were no significant differences between conditions or overtime for fatigue index. CONCLUSION Short‐term CN and CAF ingested either individually, or co‐ingested could not augment upper or lower body muscular endurance or anaerobic performance compared to PL in resistance‐trained participants.

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: Bench or experimental · Consensus signal: none
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)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.005
GPT teacher head0.205
Teacher spread0.200 · 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 designBench or experimental
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
Published2022
Admission routes1
Has abstractyes

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