Literature DB >> 25561579

Gender-specific activity demands experienced during semiprofessional basketball game play.

Aaron T Scanlan1, Ben J Dascombe, Andrew P Kidcaff, Jessica L Peucker, Vincent J Dalbo.   

Abstract

PURPOSE: To compare game activity demands between female and male semiprofessional basketball players.
METHODS: Female (n=12) and male (n=12) semiprofessional basketball players were monitored across 3 competitive games. Time-motion-analysis procedures quantified player activity into predefined movement categories across backcourt (BC) and frontcourt (FC) positions. Activity frequencies, durations, and distances were calculated relative to live playing time (min). Work:rest ratios were also calculated using the video data. Game activity was compared between genders for each playing position and all players.
RESULTS: Female players performed at greater running work-rates than male players (45.7±1.4 vs. 42.1±1.7 m/min, P=.05), while male players performed more dribbling than female players (2.5±0.3 vs. 3.0±0.2 s/min; 8.4±0.3 vs. 9.7±0.7 m/min, P=.05). Positional analyses revealed that female BC players performed more low-intensity shuffling (P=.04) and jumping (P=.05), as well as longer (P=.04) jogging durations, than male BC players. Female FC players executed more upper-body activity (P=.03) and larger work:rest ratios (P<.001) than male FC players. No significant gender differences were observed in the overall intermittent demands, distance traveled, high-intensity shuffling activity, and sprinting requirements during game play.
CONCLUSIONS: These findings indicate that gender-specific running and dribbling differences might exist in semiprofessional basketball. Furthermore, position-specific variations between female and male basketball players should be considered. These data may prove useful in the development of gender-specific conditioning plans relative to playing position in basketball.

Entities:  

Mesh:

Year:  2015        PMID: 25561579     DOI: 10.1123/ijspp.2014-0407

Source DB:  PubMed          Journal:  Int J Sports Physiol Perform        ISSN: 1555-0265            Impact factor:   4.010


  14 in total

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Authors:  Jeffrey B Taylor; Alexis A Wright; Steven L Dischiavi; M Allison Townsend; Adam R Marmon
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2.  Measuring Physical Demands in Basketball: An Explorative Systematic Review of Practices.

Authors:  Jennifer L Russell; Blake D McLean; Franco M Impellizzeri; Donnie S Strack; Aaron J Coutts
Journal:  Sports Med       Date:  2021-01       Impact factor: 11.136

Review 3.  The Activity Demands and Physiological Responses Encountered During Basketball Match-Play: A Systematic Review.

Authors:  Emilija Stojanović; Nenad Stojiljković; Aaron T Scanlan; Vincent J Dalbo; Daniel M Berkelmans; Zoran Milanović
Journal:  Sports Med       Date:  2018-01       Impact factor: 11.136

4.  Performance profile of NCAA Division I men's basketball games and training sessions.

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Journal:  Biol Sport       Date:  2016-04-27       Impact factor: 2.806

5.  Impact of Contextual Factors on External Load During a Congested-Fixture Tournament in Elite U'18 Basketball Players.

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Journal:  Front Psychol       Date:  2019-05-15

6.  Comparing the External Loads Encountered during Competition between Elite, Junior Male and Female Basketball Players.

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7.  Physical and Physiological Profiles of Aerobic and Anaerobic Capacities in Young Basketball Players.

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8.  Evolution of Physical Fitness in Formative Female Basketball Players: A Case Study.

Authors:  David Mancha-Triguero; Nicolás Martín-Encinas; Sergio J Ibáñez
Journal:  Sports (Basel)       Date:  2020-07-08

9.  Effect of Player Role and Competition Level on Player Demands in Basketball.

Authors:  Jodie Palmer; Daniel Wundersitz; Rodrigo Bini; Michael Kingsley
Journal:  Sports (Basel)       Date:  2021-03-08

10.  Temporal changes in physiological and performance responses across game-specific simulated basketball activity.

Authors:  Aaron T Scanlan; Jordan L Fox; Nattai R Borges; Patrick S Tucker; Vincent J Dalbo
Journal:  J Sport Health Sci       Date:  2016-05-10       Impact factor: 7.179

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