The Influence of Growth and Maturation on Technical Skill Development in Youth Soccer
Notice bibliographique
Résumé
Background: Youth soccer teams typically use chronological age-banded tryouts to select final rosters; therefore, youth players are more likely to be selected for the short-term advantages of early maturation rather than skill. Because of this, later maturing individuals may be overlooked or deselected, even if they have the greatest potential for the sport. Although it has been shown that growth and maturational influence soccer performance, less is known about its effects on soccer skill development. Skill is the learned ability to bring maximum certainty about pre-determined results. Traditionally, skill has been assessed subjectively; however, objective measures, such as the Loughborough Soccer Passing Test (LSPT), have recently been developed. The LSPT can distinguish various components of skill performance between players of different abilities. This thesis investigated how growth and maturation influence youth soccer skills development as assessed by the LSPT. A secondary aim was to compare skill development between the sexes. The third aim was to investigate the role of fat mass on skill development. Methods: A convenience sample of youth soccer players aged 9 to 15 were recruited from ASTRA Soccer Academy, Saskatoon. Soccer descriptives were collected by questionnaire. Anthropometric measures included height, sitting height, weight, and fat composition (Tanita DC-13C). Chronological age (CA) was determined from birth and measurement date. Biological age (BA) was estimated using an anthropometric equation to predict years from attainment of peak height velocity (PHV). The LSPT assessed soccer-specific technical skills. Skills were assessed in a designated area, and time to complete with penalties was recorded. The lower the time, the higher the technical skills rating. Descriptive statistics, correlations and ANCOVA were used to analyze the data. Results: 42 players were recruited (12 males and 30 females). The CA age range was 9.6 to 15.2 years and BA was -2.9 to 2.9 years from PHV. Males had significantly lower times than females (p <0.05), and scores decreased with increasing BA (p < 0.05). No relationship was found between BMI (r = 0.22) and body fat percentage (r =0.02) with LSPT score. Conclusion: The results suggest skill acquisition is associated with children’s growth and maturation. This suggests that coaches should consider a player’s growth and maturational status when objectively identifying a soccer player’s skill.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».