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Enregistrement W78134011

Bone properties and skeletal maturity in adolescent males, as assessed by quantitative ultrasound

2007· dissertation· en· W78134011 sur OpenAlexfundno aff
Sarah Braid

Notice bibliographique

RevueBrock University Digital Repository (Brock University) · 2007
Typedissertation
Langueen
DomaineMedicine
ThématiqueBone health and osteoporosis research
Établissements canadiensnon disponible
Organismes subventionnairesNatural Sciences and Engineering Research Council of Canada
Mots-clésMaturity (psychological)UltrasoundBone ageMedicinePsychologyDevelopmental psychologyInternal medicineRadiology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

ABSTRACT
\nBackground:
\nPrevious studies have implied that weight-bearing, intense and prolonged
\nphysical activities optimize bone accretion during the grow^ing years. The
\nmajority of past inquiries have used dual-energy X-ray absorptiometry (DXA) to
\nexamine bone strength and hand-wrist radiography to determine skeletal
\nmaturity in children. Recently, quantitative ultrasound (QUS) technologies have
\nbeen developed to examine bone properties and skeletal maturity in a safe, noninvasive
\nand cost-effective manner.
\nObjective:
\nThe purpose of this study was to compare bone properties and skeletal
\nmaturity in competitive male child and adolescent athletes with minimallyactive,
\nage-matched controls, using QUS technology. >.
\nMethods:
\nIn total, 224 males were included in the study. The 115 pre-pubertal boys
\naged 10-12 years consisted of control, minimally-active children (n=34), soccer
\nplayers (n=26), gymnasts (n=25) and hockey players (n=30). In addition, the 109
\nlate-pubertal boys aged 14-16 years consisted of control, minimally-active
\nadolescents (n=31), soccer players (n=30), gymnasts (n=17) and hockey players
\n(n=31). The athletic groups were elite level players that predominantly trained
\nyear-round. Physical activity, nutrition and sports participation were assessed with various questionnaires. Anthropometries, such as height, weight and
\nrelative body fat percentage (BF%) were assessed using standard measures.
\nSkeletal strength and age were evaluated using bone QUS. Lastly, salivary
\ntestosterone (sT) concentration was measured using Radioimmunoassay (RIA).
\nResults:
\nWithin each age group, there were no significant differences between the
\nactivity groups in age and pubertal stage. An age effect was apparent in all
\nvariables, as expected. A sport effect was noted in all physical characteristics:
\nthe child and adolescent gymnasts were shorter and lighter than other sports
\ngroups. Adiposity was greater in the controls and in the hockey players. All
\nchild subjects were pubertal stage (fanner) I or II, while adolescent subjects were
\npubertal stage IV or V. There were no differences in daily energy and mineral
\nintakes between sports groups. In both age groups, gymnasts had a higher
\ntraining volume than other athletic groups. Bone speed of sound (50s) was
\nhigher in adolescents compared with the children. Gymnasts had signifieantly
\nhigher radial 50S than controls, hockey and soccer players in both age cohorts.
\nHockey athletes also had higher radial 50S than controls and soccer players in
\nthe child and adolescent groups, respectiyely. Child gymnasts and soccer
\nplayers had greater tibial 50S compared with the hockey players and control
\ngroups. Likewise, adolescent gymnasts and soccer players had higher tibial SoS compared with the control group. No interaction was apparent between age and
\ntype of activity in any of the bone measures. »
\nLastly, maturity as assessed by sT and secondary sex characteristics (Tanner
\nstage) was not different between sports group within each age group. Despite
\nthe similarity in chronological age, androgen levels and sexual maturity,
\ndifferences between activity groups were noted in skeletal maturity. In the
\nyounger group, hockey players had the highest bone age while the soccer players
\nhad the lowest bone age. In the adolescent group, gymnasts and hockey players
\nwere characterized by higher skeletal maturity compared with controls. An
\ninteraction between the age and sport type effects was apparent in skeletal
\nmaturity, reflecting the fact that among the children, the soccer players were
\nsignificantly less mature than the rest of the groups, while in the adolescents, the
\ncontrols were the least skeletally mature.
\nSummary and Conclusions:
\nIn summary, radial and tibial SOS are enhanced by the unique loading
\npattern in each sport (i.e, upper and lower extremities in gymnastics, lower
\nextremities in soccer), with no cumulative effect between childhood and
\nadolescence. That is, the effect of sport participation on bone SOS was apparent
\nalready among the young athletes. Enhanced bone properties among athletes of
\nspecific sports suggest that participation in these sports can improve bone
\nstrength and potential bone health.

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 candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,519
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
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 Opus0,023
Tête enseignante GPT0,269
Écart entre enseignants0,246 · 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.

Devis d'étudeObservationnel
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

Citations0
Publié2007
Routes d'admission1
Résumé présentoui

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