Notice bibliographique
Résumé
The amount of bone gained during childhood and adolescence impacts greatly on lifetime skeletal health and it is well accepted that physical activity during growth increases bone acquisition. Gymnastics training results in unique high mechanical loading to the skeleton and therefore, provides an excellent model for assessing the effects of weight-bearing physical activity on bone development (Daly et al., 1999). Young recreational gymnasts experience loads up to 3-10 times that of body weight on their feet and hands. Previous studies in young adolescent competitive female gymnasts have shown that they have 8-23% areal bone mineral density (aBMD, cm/g2), at the total body, lumbar spine and hip (Laing et al., 2002; Faulkner et al., 2003; Erlandson et al., 2011a). It is often presumed that higher the aBMD or BMC translates to greater bone strength but when estimating whole bone strength (resistance to fracture) it is important to assess bone size and geometry in addition to parameters charactering bone mass and areal density (Kontulainen et al., 2007). Therefore, it is important to assess the geometrical indices of bone and not simply aBMD or BMC. Peripheral quantitative computed tomography (pQCT) is a novel technology that is able to measure bone cross sectional properties in three dimensions. It has been recently observed that early recreational and precompetitive gymnastic participation may confer 6-25% greater adjusted bone strength, as assessed by pQCT, at the distal radius compared to individuals not involved in gymnastic training (Erlandson et al., 2011b). What remain unsubstantiated are the long term effects of early recreational gymnastics on the development of childhood bone strength. Therefore, the primary purpose of thisstudy was to investigate whether gymnastics exposure was associated with estimated bone strength development derived from pQCT at the distal radius in young males and females. 51.2 METHODS Participants were drawn from the University of Saskatchewan’s Young Recreational Gymnast Study. This cohort consists of 178 children recruited into a mix-longitudinal study examining the influence of early life gymnastic participation on bone development (2006-2012; Erlandson et al., 2011a). pQCT scan were implemented into the study in 2008 and by 2012, there were 3 years of pQCT data collected in children between 4 and 10 years of age. The gymnasts consisted of individuals who were participating in recreation and/or precompetitive gymnastics programmes at one of three competitive gymnastics clubs in Saskatoon. The non-gymnastic controls were individuals recruited from other local recreational sport programmes and camps (soccer, T-ball, basketball and karate). Participants were excluded from the current study if they had any condition that prevented them from performing exercise safely, had any condition known to affect bone development, or did not have a valid distal radius scan at two or more assessment occasions. This resulted in the inclusion of 126 participants (58 males, 68 females) consisting of 75 gymnasts (35 males, 40 females) and 51 non gymnasts (23 males, 28 females). Consent was obtained from all parents and/or guardians and verbal assent was obtained from all children. All procedures and protocols were approved by the Biomedical Research Ethics Board at the University of Saskatchewan.
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 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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,117 | 0,054 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».