Seasonal changes in whole body, and regional body composition profiles of elite collegiate hockey players
Notice bibliographique
Résumé
The monitoring of a collegiate hockey playerâs body composition can reflect fitness characteristics, and may help players, coaches or strength & conditioning professionals optimize physiologic gains during an off-season, while simultaneously preventing performance decrements in-season. Two separate studies took place in this investigation. The first studyâs purpose was to examine changes in the whole-body, and regional-body composition profiles of elite collegiate hockey players in regards to fat and lean tissue mass during an off-season and the first half of a competitive season. The purpose of the second study was to evaluate if collegiate players could accurately perceive their fluctuations in body composition. In the first study, the body composition profiles of nineteen elite Canadian collegiate hockey players were assessed using dual energy x-ray absorptiometry at three different time-points (i.e. end of season, pre-season and mid-season). A repeated measures anova was used to compare the playerâs changes in body composition at the different time-points. Statistically significant changes in body composition profiles were observed as players showed various tissue gains/losses depending on the region assessed. Overall, players gained (1.38kg, p < .01) and lost (.79kg, p < .01) fat tissue during the off-season and in-season, respectively. Players also showed a significant gain of leg lean tissue (.29 kg, p = .02) and loss of arm tissue mass (-.25 kg, p = .02) during the first-half of the competitive season. Several correlations emerged that may provide insight into potential trends that could be more pronounced during longer and more demanding schedules. In the second study, a total of 24 players completed pre-season and mid-season assessments. Immediately before each scan, players answered questionnaires regarding their off-season and in-season training, and perceived change in their body composition and strength of particular regions during the 3-month time period. Two thirds of players and one-half of players accurately detected changes in arm-lean and arm-fat tissue respectively. Approximately two-thirds of players did not accurately perceive gains or losses of lean or fat tissue within their leg and overall body region. The findings from each study can have important implications for the performance and development of collegiate athletes. The accuracy of a playerâs perceived change in body composition may affect their acceptance and adherence to a dietary or training intervention. Overall, the understanding of body composition profiles, body composition fluctuations, and potential variables that may influence the composition of collegiate hockey players can help coaches and athletic programs tailor their teamâs training, nutrition, lifestyle and informative resources to further support their athletes.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».