2018
DOI: 10.1177/1747954118772489
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Biological maturation, training experience, body size and functional capacity of adolescent female basketball players: A Bayesian analysis

Abstract: In the present study we examined the age-and maturity-associated variation on body size and functional capacities in 47 adolescent female basketball players. Also, we examined the relative contribution of growth and maturity status to functional capacity between player variation. Data included chronological age, age at menarche, years of training experience; body dimensions; countermovement jump, Line drill test and Yo-Yo intermittent recovery test-level 1. Bayesian multilevel modelling was used to estimate th… Show more

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Cited by 24 publications
(42 citation statements)
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“…Young players with early maturation often outperform their late maturing peers in muscle strength and endurance. While numerous studies exist on the effects of biological maturation on the physical and technical performance of adolescent basketball players [12,[15][16][17][18][19], there is a paucity of scientific literature on the assessment of anthropometric changes and performance characteristics in pre-adolescent basketballers.…”
Section: Introductionmentioning
confidence: 99%
“…Young players with early maturation often outperform their late maturing peers in muscle strength and endurance. While numerous studies exist on the effects of biological maturation on the physical and technical performance of adolescent basketball players [12,[15][16][17][18][19], there is a paucity of scientific literature on the assessment of anthropometric changes and performance characteristics in pre-adolescent basketballers.…”
Section: Introductionmentioning
confidence: 99%
“…Top level athletes might be expected to exhibit characteristics that are specifically favorable for a sport [7]. All competitive sports played at the professional level require that the body performs to its optimal biomechanical and physiological capacity [8]. Correct assessment of body composition in sports is important since errors may lead to mistakes in training prescription and diet elaboration, and therefore affect athletic performance [5].…”
Section: Introductionmentioning
confidence: 99%
“…Data was organized into two groups of menarcheal status: early (n=19), average/late (n=11). Further details for players´ classification by menarcheal status are reported elsewhere 18 .…”
Section: Methodsmentioning
confidence: 99%
“…It offers an intuitive and probabilistic interpretation, conditional on the data, in particular deal with small scale applied team sport studies 17 . Multilevel modelling allows a flexible and robust framework to account for variation from different sources and levels of observation, that are not answered with traditional statistical approaches used in sports science 18 .…”
Section: Introductionmentioning
confidence: 99%