Journal ArticleDOI
An assessment of maturity from anthropometric measurements.
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TLDR
Although the cross-validation meets statistical standards for acceptance, caution is warranted with regard to implementation and it is recommended that maturity offset be considered as a categorical rather than a continuous assessment.Abstract:
Purpose: The range of variability between individuals of the same chronological age (CA) in somatic and biological maturity is large and especially accentuated around the adolescent growth spurt. Maturity assessment is an important consideration when dealing with adolescents, from both a research perspective and youth sports stratification. A noninvasive, practical method predicting years from peak height velocity (a maturity offset value) by using anthropometric variables is developed in one sample and cross-validated in two different samples. Methods: Gender specific multiple regression equations were calculated on a sample of 152 Canadian children aged 8-16 yr (79 boys; 73 girls) who were followed through adolescence from 1991 to 1997, The equations included three somatic dimensions (height, sitting height, and leg length), CA, and their interactions. The equations were cross-validated on a Combined sample of Canadian (71 boys, 40 girls measured from 1964 through 1973) and Flemish children (50 boys, 48 girls measured from 1985 through 1999). Results: The coefficient of determination (R2) for the boys' model was 0.92 and for the girls' model 0.91 the SEEs were 0.49 and 0.50, respectively, Mean difference between actual and predicted maturity offset for the verification samples was 0.24 (SD 0.65) yr in boys and 0,001 (SD 0.68) yr in girls. Conclusion: Although the cross-validation meets statistical standards or acceptance, caution 1, warranted with regard to implementation. It is recommended that maturity offset be considered as a categorical rather than a continuous assessment. Nevertheless, the equations presented are a reliable, noninvasive and a practical solution for the measure of biological maturity for matching adolescent athletes.read more
Citations
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Journal ArticleDOI
Talent identification and development programmes in sport : current models and future directions.
TL;DR: An overview of current knowledge in this area with special focus on problems associated with the identification of gifted adolescents is provided and a conceptual framework that acknowledges both genetic and environmental influences and considers the dynamic and multidimensional nature of sport talent is presented.
Journal ArticleDOI
International Olympic Committee consensus statement on youth athletic development
Michael F. Bergeron,Margo Mountjoy,Neil Armstrong,Michael Chia,Jean Côté,Carolyn A. Emery,Avery D. Faigenbaum,Gary Hall,Susi Kriemler,Michel Leglise,Robert M. Malina,Anne Marte Pensgaard,Alex Sanchez,Torbjørn Soligard,Jorunn Sundgot-Borgen,Willem van Mechelen,Juanita R. Weissensteiner,Lars Engebretsen +17 more
TL;DR: The IOC critically evaluated the current state of science and practice of youth athlete development and presented recommendations for developing healthy, resilient and capable youth athletes, while providing opportunities for all levels of sport participation and success.
Journal ArticleDOI
Defining the Boundaries of Early Adolescence: A User's Guide to Assessing Pubertal Status and Pubertal Timing in Research With Adolescents
TL;DR: An in-depth review of existing methods to assess pubertal status and timing is provided and the relative merits and shortcomings of several approaches are enumerated.
Journal ArticleDOI
Enhancing a Somatic Maturity Prediction Model.
Sarah A. Moore,Heather A. McKay,Heather M. Macdonald,Lindsay Nettlefold,Adam D.G. Baxter-Jones,Noel Cameron,Penelope M. A. Brasher +6 more
TL;DR: The sex-specific regression equations developed using anthropometric measures to predict somatic maturity provided good fits in external samples and provide an alternative to commonly used models.
Journal ArticleDOI
Biological maturation of youth athletes: assessment and implications
Robert M. Malina,Alan D. Rogol,Sean P. Cumming,Manuel J. Coelho e Silva,António J. Figueiredo +4 more
TL;DR: Commonly used methods for assessing status and estimating timing and two relatively recent anthropometric (non-invasive) methods (status—percentage of predicted near adult height attained at observation, timing—predicted maturity offset/age at PHV) are described and evaluated.
References
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