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Enregistrement W2565236461 · doi:10.1113/jp273830

A high carbohydrate diet remains the evidence based choice for elite athletes to optimise performance

2017· letter· en· W2565236461 sur OpenAlexaboutno aff
Jørn Wulff Helge

Notice bibliographique

RevueThe Journal of Physiology · 2017
Typeletter
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueMuscle metabolism and nutrition
Établissements canadiensnon disponible
Organismes subventionnairesTeam DanmarkKulturministeriet
Mots-clésEndurance trainingGlycogenAthletesMicronutrientMedicineMuscle biopsyCarbohydrateExercise physiologyPhysical therapyInternal medicineEndocrinologyBiopsyPathology

Résumé

récupéré en direct d'OpenAlex

Fat loading or simply consuming a diet rich in fat has been used for more than 100 years to manipulate substrate oxidation both at rest and during exercise. Pioneering work by Christensen & Hansen in the late 1930s clearly demonstrated the link between exercise performance and substrate oxidation and provided early evidence that short term carbohydrate diet consumption enhanced endurance performance (Christensen & Hansen, 1939). The seminal studies performed in Stockholm in Sweden in the 60s by Bergström et al. (1967) reintroduced the needle muscle biopsy technique and very forcefully demonstrated the associations between depletion of muscle glycogen and the development of fatigue during endurance exercise. Founded on these studies major efforts were undertaken to study procedures that could optimise muscle glycogen storage and attenuate glycogen breakdown to increase endurance performance. Over time this led to the dietary recommendations for endurance athletes that are probably most common among endurance athletes today; a high carbohydrate, moderate protein, low fat diet optimised for micronutrients, dietary fibre and consumed in a timely fashion. To further optimise endurance training adaptations in muscle and whole body and to cater for individual differences, this dietary practice is often combined with the specific training practice including a number of procedures such as dietary cycling (fasting/fed and/or micro/macro cycles), sleep manipulation, timing of meals (before and after training), sequential exercise bouts (train low/high) to name the most common procedures. However, in recent years this approach has been challenged by applications of keto adaptation that uses very high fat and moderate protein diets almost devoid of carbohydrates to induce nutritional ketosis (Volek et al. 2015). Historically this diet is well tested and tolerated by our ancestors and in more recent times in the Arctic by Inuit and explorers during exercise under strenuous conditions. The underlying idea behind keto adaptation is obviously the almost non-limited availability of fatty acids during exercise that negates the muscle glycogen depletion and abolishes the need for carbohydrate supplementation during exercise. Yet although evidence has emerged that long term keto adapted ultra-endurance-athletes are capable of oxidising large amounts of fat during exercise, up to 1.5 g fat min−1, there is only anecdotal evidence linking this to endurance performance in elite athletes. However, this has not dampened the interest in and application of the keto adaptation regime to potentially optimise performance. In this issue of The Journal of Physiology Burke and colleagues strongly challenge the concept of a positive effect of keto adaptation on endurance performance in elite race walkers (Burke et al. 2017). The study applies three isoenergetic lightly hypocaloric diets during 3 weeks of controlled training: a ketogenic very low carbohydrate, moderate protein and high fat diet (LCHF) compared to a classic high carbohydrate diet (HCHO), and a diet with similar macronutrient composition (PCHO), but with alternating consumption before and after training. As expected peak oxygen uptake () during race walking was similarly increased in all three groups and LCHF had a markedly higher fat oxidation during 2 h exercise at 80% compared to HCHO and PCHO. However, the performance time for the 10 km race walk was only improved in HCHO and PCHO, and this occurred concomitantly with a reduced oxygen uptake at 20 km race pace only in HCHO and PCHO. Burke and colleagues elegantly conclude that 3 weeks of intensive training and (keto) adaptation to a ketogenic very low carbohydrate, moderate protein and high fat diet impairs exercise economy and attenuates the training induced performance improvements observed when comparing to the two high carbohydrate diets. Albeit not fully conclusive due to both the limited study duration of 3 weeks and application of slightly hypocaloric diets, the evidence presented by Burke and colleagues strongly suggests that, in elite athletes training and performing at intensities similar to elite sports competition, keto adaptation is not the optimal dietary choice. Almost 20 years ago we demonstrated that endurance performance was attenuated during submaximal exercise after 7 weeks of regular endurance training and adaptation to a high fat diet compared to a high carbohydrate diet in untrained males (Helge et al. 1996). Interestingly the rate of perceived exertion was higher after high fat compared to carbohydrate diet adaptation, a finding later demonstrated also in trained athletes (Stepto et al. 2002). However, the rate of perceived exertion is only a marker and be it high fat diet adaptation or keto adaptation there is still a need to fully understand the mechanisms in muscle and whole body that inevitably control the capacity to attain the full individual training induced endurance exercise performance potential, particularly in elite athletes. None declared.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut 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: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,030

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0090,004

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 Opus0,029
Tête enseignante GPT0,276
Écart entre enseignants0,247 · 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 source (Gemma direct ou Codex distillé), 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
GenreCommentaire

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

En bref

Citations24
Publié2017
Routes d'admission1
Résumé présentoui

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