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Record W4390005527 · doi:10.33425/2833-0307.1009

Evaluation of the Dietary Profile of Footballers in Ligue 2 in the Department of Brazzaville

2023· article· en· W4390005527 on OpenAlexaff
Bouhika Eddie Janvier, Florent Nsompi, Moussouami Simplice Innocent, Boussana Alain Marc, Moussoki Jean Martin, Moukouyou Olivier, Etienne Nguimbi, Elenga Michel, Vital Mananga, Itoua Okouango Yvon Simplice, Jean Georges André Moulongo, François Mbemba

Bibliographic record

VenueEndocrinology Metabolism and Nutrition · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsInstitute of Nutrition, Metabolism and Diabetes
Fundersnot available
KeywordsClubMealMedicineAnimal scienceBiologyInternal medicine

Abstract

fetched live from OpenAlex

This exploratory study aimed to assess the dietary profile of 2nd division footballers in the departmental league of Brazzaville. Our sample was made up of 120 subjects divided into 3 clubs and aged on average 17.86 ± 1.39 years. Through the standardized and extended nutritional survey (SENS) and food frequency questionnaire (FFQ), we used the 24-hours recall method to assess nutritional status, respect for meal times, types of food consumed, quantity of food and variation of breakfast, lunch, snack and dinner foods. The results obtained showed that the nutritional status was normal at the level of the three (03) clubs (19.95 ± 2.12 kg/m2 for Gothia club, 21.60 ± 1.61 kg/m2 for Marakana club and 21.31 ± 1.88 kg/m2 for Red Star club. However, we first noted a lack of respect for meal times in 52.2% of Gothia players, 72.2% of Marakana players and 81.6% of Red Star players respectively. Similarly, dissatisfaction with competition meals was then noticed in 60.9%, 83.3% and 55.3% of Gothia, Marakana and Red Star players respectively. An insufficient number of meals taken during the day and no dietary variation in 60.9%, 58.3% and 57.9% of the players of the three respective clubs. Similarly, these results showed the intake of an insufficient amount of food respectively in 60.9%, 55.6% and 44.7% of the players of the three respective clubs. In the end, it was revealed an under-information in terms of sports nutrition in 100%, 77.78%, and 68.42% of the players of the three respective clubs. In conclusion, the food profile of footballers was inadequate and not controlled by nutritionists. This profile is associated with a nutritional imbalance, which is a factor in poor athletic performance.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.667
Threshold uncertainty score0.244

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.029
GPT teacher head0.289
Teacher spread0.260 · 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 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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