Literature DB >> 17852680

Anthropometric characteristics of elite cricket fast bowlers.

Max Stuelcken1, David Pyne, Peter Sinclair.   

Abstract

The aims of this study were to describe the current anthropometric profiles of elite Australian female and male cricket fast bowlers and establish a set of reference values useful for future investigations on player selection, talent identification, and training programme development. The participants were 26 female (mean age 22.5 years, s = 4.5; height 1.71 m, s = 0.05; body mass 66.2 kg, s = 7.5) and 26 male (mean age 23.9 years, s = 3.5; height 1.88 m, s = 0.05; body mass 87.9 kg, s = 8.2) fast bowlers. The anthropometric profiles included the measurement of skinfolds, and segment lengths, breadths, and girths. A series of derived variables assessing the distribution of subcutaneous adipose tissue, the bivariate overlap zone, relative body size and proportionality, and somatotype were also calculated. The male bowlers had larger length, breadth, and girth measurements than their female counterparts. There were differences in proportionality between the sexes, with only the male bowlers exhibiting characteristics that could be considered "large" relative to height. The female bowlers had a higher sum of seven skinfolds (P < 0.001), were more endomorphic (F(1,50) = 30.18, P < 0.001), and less mesomorphic (F(1,50 = 10.85, P < 0.01) than the male bowlers. These reference data should be useful to practitioners and researchers interested in cricket. Further research is needed to clarify why only male fast bowlers had variables that were proportionally large relative to height.

Entities:  

Mesh:

Year:  2007        PMID: 17852680     DOI: 10.1080/02640410701275185

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


  5 in total

Review 1.  Workload Monitoring in Team Sports: Using Elite Cricket as an Example.

Authors:  Candice J Christie; Devon Vernon Barnard; Lee Pote; Catherine E Munro
Journal:  Indian J Orthop       Date:  2020-04-03       Impact factor: 1.251

2.  Moderating factors influence the relative age effect in Australian cricket.

Authors:  Jonathan D Connor; Ian Renshaw; Kenji Doma
Journal:  PeerJ       Date:  2019-05-17       Impact factor: 2.984

3.  Intra-rater and inter-rater reliability of six musculoskeletal preparticipatory screening tests.

Authors:  Nosipho Zumana; Benita Olivier; Lonwabo Godlwana; Candice Martin
Journal:  S Afr J Physiother       Date:  2019-04-24

4.  The Relationship Between Anthropometric Variables and Race Performance.

Authors:  Getachew Wassihun Dessalew; Dawit Habte Woldeyes; Belta Asnakew Abegaz
Journal:  Open Access J Sports Med       Date:  2019-12-27

5.  Physical profiling of international cricket players: an investigation between bowlers and batters.

Authors:  Anthony Weldon; Neil D Clarke; Lee Pote; Chris Bishop
Journal:  Biol Sport       Date:  2020-12-30       Impact factor: 4.606

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.