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Enregistrement W1988481498 · doi:10.1007/s40279-014-0262-y

Nutrition for Training and Performance

2014· article· en· W1988481498 sur OpenAlexaff
Lawrence L. Spriet

Notice bibliographique

RevueSports Medicine · 2014
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueMuscle metabolism and nutrition
Établissements canadiensUniversity of Guelph
Organismes subventionnairesGran Sasso Science InstitutePepsiCo
Mots-clésSports medicineTraining (meteorology)MedicineMedical educationPhysical therapyGeography

Résumé

récupéré en direct d'OpenAlex

The human body is designed for movement and capable of incredible athletic and sporting achievements. Attempts to improve the ability to perform on the athletic stage are never-ending and involve a serious dedication to training. Athletes, coaches, support personnel, and scientists are constantly experimenting with new ways to improve training and its applicability to performance. Nutrition is clearly a major factor in the success of training and performance as fuel is needed to power the human engine. The amount, type, and timing of nutritional intake play a large role in the physical and mental success of the athlete. In addition, nutritional intake also influences the adaptation to training and the recovery from training, to positively impact performance. The Gatorade Sports Science Institute (GSSI) brought together researchers for a meeting in February 2013 to discuss the recent evidence that nutrition influences athletic training and performance. Following the meeting, the authors were asked to summarize the recent work in their research area, resulting in the manuscripts in this Sports Medicine supplement. A major step forward in sports nutrition has been the ability to more thoroughly understand how training alters the body at the molecular level, in both acute and chronic situations. Various forms of training have been shown to activate cell signalling pathways that ultimately produce protein-specific adaptations geared to improving sport-specific performance. Whether engaging in classic moderate intensity–high volume endurance training, high intensity intermittent–low volume training, or resistance training, the body remodels to more aptly handle the specific physical stress. Nutrition is at the core of these adaptations through the provision of fuel and by shaping the adaptations. Concurrent training has long been of interest, where both resistance and endurance training sessions are completed over the course of a week or even on the same day. Engaging in high intensity intermittent–low volume training as compared with the classic moderate intensity–high volume endurance training has also been a central theme in the past few years. What can be achieved in these situations? Does the stimulus from one form of training dominate the other—and is one form of training more time efficient than the other? A related issue, especially in the case of high-end athletes, is monitoring training load and understanding when an athlete is overloaded and likely to underperform. What are the measures that athletes, trainers, therapists, coaches, nutritionists, and physiologists can use to accurately assess the situation? On the other side of the movement spectrum, what happens when muscles are not used either through injury or a sedentary lifestyle? Can nutrition in the form of antioxidants prevent the negative consequences associated with these situations? Serious athletes do all they can to maximize their physical and mental training, nutrition, recovery, and sleep quality. Once this has been achieved, are there nutritional means to acutely and chronically improve their training and performance with supplements like caffeine, creatine and buffering agents? In certain sports and athletic endeavours, losing a small amount of body mass without compromising training and performance can lead to improved performance. Can manipulating dietary protein intake aid in this pursuit and has this been thoroughly studied? Lastly, it is clear that athleticism and the pursuit of training and performance is no longer solely the domain of the young. The number of older athletes is on the rise and the phrase, “60 is the new 45” is commonly heard among active older individuals. What are the nutritional needs of this group of people and what needs to be studied to answer this question? The role of sports nutrition and exercise is becoming increasingly linked with health and performance and understanding the interactions between nutrition and exercise will help us to provide accurate information to exercisers and athletes.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,892
Score d'incertitude au seuil0,187

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,012
Tête enseignante GPT0,241
Écart entre enseignants0,229 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2014
Routes d'admission1
Résumé présentoui

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