Literature DB >> 20981436

Predictors of maximal short-term power outputs in basketball players 14-16 years.

Humberto M Carvalho1, Manuel J Coelho E Silva, António J Figueiredo, Carlos E Gonçalves, Renaat M Philippaerts, Carlo Castagna, Robert M Malina.   

Abstract

Relationships between growth, maturation and maximal short-term power outputs were investigated in 94 youth basketball players aged 14-16 years. Data included chronological age (CA), skeletal age (SA), years of training; body dimensions, estimated thigh volume, a running based short-term exercise assessed by the line drill test (LDT), the Bangsbo sprint test (BST) and short-term muscle power outputs with the Wingate anaerobic test (WAnT). Multiple linear regression analyses were used to estimate the effects of CA, skeletal maturity (SA/CA), years of training experience, body size and lower-limb volume on short-term performance in the LDT, BST and WAnT, respectively. Explained variances differed between cycle-ergometry outputs (52-54%) and running test performances (23-46%). The independent effects of predictors were small in the fatigue scores of the WAnT (4%) and the BST (11%). Skeletal maturity, body mass and leg length were primary predictors for all maximal short-term power output measures. Leg length was more relevant as a predictor than stature in the WAnT outputs, while stature and body mass appeared in the model with the running tests as dependent variable. Maximal short-term running abilities were also sensitive to years of training. In summary, skeletal maturation, body size and thigh muscle mass explained moderate to large proportions of the variance on maximal short-term performances of adolescent basketball players. The results highlight the importance of considering maturity status in evaluating the maximal short-term power outputs of adolescent athletes.

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Year:  2010        PMID: 20981436     DOI: 10.1007/s00421-010-1703-4

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  49 in total

1.  Cross-validation and reliability of the line-drill test of anaerobic performance in basketball players 14-16 years.

Authors:  Humberto M Carvalho; Manuel J Coelho e Silva; António J Figueiredo; Carlos E Gonçalves; Carlo Castagna; Renaat M Philippaerts; Robert M Malina
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3.  Is a fatigue index a worthwhile measure of repeated sprint ability?

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5.  Age-related differences in repeated-sprint ability in highly trained youth football players.

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Review 6.  The Wingate anaerobic test. An update on methodology, reliability and validity.

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  10 in total

1.  Scaling lower-limb isokinetic strength for biological maturation and body size in adolescent basketball players.

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Journal:  Eur J Appl Physiol       Date:  2011-12-03       Impact factor: 3.078

Review 2.  Change of Direction Speed Tests in Basketball Players: A Brief Review of Test Varieties and Recent Trends.

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Journal:  BMC Pediatr       Date:  2016-11-24       Impact factor: 2.125

4.  Effect of Number of Players and Maturity on Ball-Drills Training Load in Youth Basketball.

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5.  The Roles of Growth, Maturation, Physical Fitness, and Technical Skills on Selection for a Portuguese Under-14 Years Basketball Team.

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Journal:  Sports (Basel)       Date:  2019-03-08

6.  Effect of maturity timing on the physical performance of male Polish basketball players aged 13 to 15 years.

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7.  Repeated Sprint Ability in Young Basketball Players: Multi-direction vs. One-Change of Direction (Part 1).

Authors:  Johnny Padulo; Nicola L Bragazzi; Pantelis T Nikolaidis; Antonio Dello Iacono; Giuseppe Attene; Fabio Pizzolato; Juliano Dal Pupo; Alessandro M Zagatto; Marcello Oggianu; Gian M Migliaccio
Journal:  Front Physiol       Date:  2016-04-22       Impact factor: 4.566

8.  Acute Responses to 10×15 m Repeated Sprint Ability Exercise in Adolescent Athletes: the Role of Change of Direction and Sport Specialization.

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9.  Reproducibility of estimated optimal peak output using a force-velocity test on a cycle ergometer.

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Journal:  PLoS One       Date:  2018-02-23       Impact factor: 3.240

10.  Allometric Modeling of Wingate Test among Adult Male Athletes from Combat Sports.

Authors:  Manuel J Coelho-E-Silva; Paulo Sousa-E-Silva; Vinícius S Morato; Daniela C Costa; Diogo V Martinho; Luís M Rama; João Valente-Dos-Santos; André O Werneck; Óscar M Tavares; Jorge Conde; Joaquim M Castanheira; Rui Soles-Gonçalves; João P Duarte
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  10 in total

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