Female Youth Soccer Participation and Continued Engagement: Associations With Community Size, Community Density, and Relative Age
Notice bibliographique
Résumé
Environmental context can impact youth engagement in sport and athlete development. Previous work in this area has examined the population size of the birthplace of elite athletes; commonly known as the birthplace effect. While some consistency has been observed in North American samples, exact estimates for the ideal community size and a thorough understanding of the underlying mechanisms has been somewhat elusive. Existing studies are cross-sectional in nature and there is some evidence to suggest that significant variation exists within imposed community size categories. Thus, the overarching purpose of this study was to establish longitudinal participation trends among female youth soccer players in Ontario Canada, with consideration of both community size and community density. This study also examined whether relative age has any association with community density. Registration entries at age 10 years (n = 9,826) and 16 years (n = 2,305) were isolated for analysis, representing the pre- to post-adolescent transition years. Odds ratio analyses were conducted within each community size and community density category for all 10-year old registrants; 95% confidence intervals were obtained. This procedure was repeated for all registrants at 16 years of age using the expected distribution at age 10 years to examine continued engagement; and, within-category variation was assessed. Findings suggest medium-sized communities (i.e., 10,000-249,999 inhabitants) provide the best odds of participation and continued engagement during the pre- to post-adolescent transition years. Less densely populated communities (i.e., 50-<400 population/km2) appeared to be ideal for facilitating participation at age 10 years, but not for engagement at age 16 years. However, within-category variation was evident when each community was inspected individually. Consistent with previous attempts to find an association between community size and the relative age effect, there did not appear to be a relationship between community density and birth quartile distribution. Observations from this study show that community size and community density are truly unique and separate variables; one does not inform the other. Future studies should consider the underlying contributions to both low and high participation and continued engagement, while being mindful of within-category variation and region-to-region differences between communities of comparable size.
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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.
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| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| 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 | 0,001 | 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) | 0,000 | 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.
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