Literature DB >> 17474040

Modelling age and secular differences in fitness between basketball players.

Eric J Drinkwater1, Will G Hopkins, Michael J McKenna, Patrick H Hunt, David B Pyne.   

Abstract

Concerns about the value of physical testing and apparently declining test performance in junior basketball players prompted this retrospective study of trends in anthropometric and fitness test scores related to recruitment age and recruitment year. The participants were 1011 females and 1087 males entering Basketball Australia's State and National programmes (1862 and 236 players, respectively). Players were tested on 2.6 +/- 2.0 (mean +/- s) occasions over 0.8 +/- 1.0 year. Test scores were adjusted to recruitment age (14-19 years) and recruitment year (1996-2003) using mixed modelling. Effects were estimated by log transformation and expressed as standardized (Cohen) differences in means. National players scored more favourably than State players on all tests, with the differences being generally small (standardized differences, 0.2-0.6) or moderate (0.6-1.2). On all tests, males scored more favourably than females, with large standardized differences (>1.2). Athletes entering at age 16 performed at least moderately better than athletes entering at age 14 on most tests (standardized differences, 0.7-2.1), but test scores often plateaued or began to deteriorate at around 17 years. Some fitness scores deteriorated over the 8-year period, most notably a moderate increase in sprint time and moderate (National male) to large (National female) declines in shuttle run performance. Variation in test scores between National players was generally less than that between State players (ratio of standard deviations, 0.83-1.18). More favourable means and lower variability in athletes of a higher standard highlight the potential utility of these tests in junior basketball programmes, although secular declines should be a major concern of Australian basketball coaches.

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Year:  2007        PMID: 17474040     DOI: 10.1080/02640410600907870

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  11 in total

1.  Doubly Disadvantaged? The Relative Age Effect in Poland's Basketball Players.

Authors:  Krystian Rubajczyk; Kamil Świerzko; Andrzej Rokita
Journal:  J Sports Sci Med       Date:  2017-06-01       Impact factor: 2.988

2.  Player Profiling and Monitoring in Basketball: A Delphi Study of the Most Important Non-Game Performance Indicators from the Perspective of Elite Athlete Coaches.

Authors:  Michael Rogers; Alyson J Crozier; Natasha K Schranz; Roger G Eston; Grant R Tomkinson
Journal:  Sports Med       Date:  2021-11-05       Impact factor: 11.136

Review 3.  Design and interpretation of anthropometric and fitness testing of basketball players.

Authors:  Eric J Drinkwater; David B Pyne; Michael J McKenna
Journal:  Sports Med       Date:  2008       Impact factor: 11.136

4.  Team Performance Indicators Explain Outcome during Women's Basketball Matches at the Olympic Games.

Authors:  Anthony S Leicht; Miguel A Gomez; Carl T Woods
Journal:  Sports (Basel)       Date:  2017-12-17

5.  Temporal trends in step test performance for Chinese adults between 2000 and 2014.

Authors:  Yang Liu; Mark S Tremblay; Grant R Tomkinson
Journal:  J Exerc Sci Fit       Date:  2021-07-12       Impact factor: 3.103

6.  Walking speed and balance both improved in older Japanese adults between 1998 and 2018.

Authors:  Tetsuhiro Kidokoro; Samantha J Peterson; Hannah K Reimer; Grant R Tomkinson
Journal:  J Exerc Sci Fit       Date:  2021-06-18       Impact factor: 3.103

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

Authors:  Pantelis Theodoros Nikolaidis; Panagiotis Meletakos; Ioannis Tasiopoulos; Ioannis Kostoulas; Panagiotis Ganavias
Journal:  Asian J Sports Med       Date:  2016-06-11

8.  Effect of weighted sled towing on sprinting effectiveness, power and force-velocity relationship.

Authors:  Patrícia Dias Pantoja; Alberito Rodrigo Carvalho; Leonardo Rossato Ribas; Leonardo Alexandre Peyré-Tartaruga
Journal:  PLoS One       Date:  2018-10-05       Impact factor: 3.240

9.  Seasonal changes in physical capacities of basketball players according to competitive levels and individual responses.

Authors:  Davide Ferioli; Andrea Bosio; James Zois; Antonio La Torre; Ermanno Rampinini
Journal:  PLoS One       Date:  2020-03-19       Impact factor: 3.240

10.  Can Anthropometric Variables and Maturation Predict the Playing Position in Youth Basketball Players?

Authors:  Karol Gryko; Petr Stastny; Anna Kopiczko; Kazimierz Mikołajec; Ondrej Pecha; Krzysztof Perkowski
Journal:  J Hum Kinet       Date:  2019-10-18       Impact factor: 2.193

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