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Record W4405850840 · doi:10.1080/15438627.2024.2442740

Effects of a 40-min nap on performance following evening exercise before, during, and after Ramadan fasting

2024· article· en· W4405850840 on OpenAlexaff
Hsen Hsouna, Omar Boukhris, Achraf Ammar, Khaled Trabelsi, Cain C. T. Clark, Raouf Abdessalem, Nicola Luigi Bragazzi, Haitham Jahrami, Matthew Driller, Hamdi Chtourou

Bibliographic record

VenueResearch in Sports Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicDietary Effects on Health
Canadian institutionsYork UniversityUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsEveningNapRating of perceived exertionMorningMedicineCrossover studyPhysical therapyTest (biology)Physical medicine and rehabilitationAudiologyPsychologyInternal medicineHeart rateBlood pressureSocial psychology

Abstract

fetched live from OpenAlex

This study examined the effect of a 40-min nap (N40) the day after a night session of the Loughborough Intermittent Shuttle Test (LIST), before, during and after Ramadan. In a randomized crossover design, fifteen male soccer players completed the LIST in the evening (2100h), followed by either a N40 or no nap (N0) the next day, at 1400h. Performance on the 5-m shuttle run test (5mSRT), digit cancellation test (DCT), and subjective measures (i.e., sleepiness, rating of perceived exertion, and muscle soreness) were assessed at 1700h. During Ramadan, 5mSRT and DCT performance decreased compared to before Ramadan in the N0 condition (p<0.05). However, N40 improved 5mSRT and DCT performance across all periods compared to N0 (p<0.05). In conclusion, a 40-min of nap opportunity is an effective strategy for improving physical and cognitive performance during and following Ramadan after a bout of exercise the previous night. .

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.356
Threshold uncertainty score0.698

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.364
Teacher spread0.343 · 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 teacher head, 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
Published2024
Admission routes1
Has abstractyes

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