Anthropometric and strength characteristics of tenpin bowlers with different playing abilities

Razman, R. and Cheong, J.P.G. and Wan Abas, Wan Abu Bakar and Abu Osman, Noor Azuan (2012) Anthropometric and strength characteristics of tenpin bowlers with different playing abilities. Biology of Sport, 29 (1). pp. 33-38. ISSN 10.5604/20831862.979853,

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The primary purpose of this study was to investigate the strength and anthropometric characteristics of elite and semi-elite tenpin bowlers as compared to non-bowlers, and to establish whether it was possible to discriminate playing level through selected predictor variables. Elite and semi-elite bowlers were distinguished by their bowling score average (BS ave), with participants scoring 200 pin falls and above assigned to the elite group. Eighteen elite bowlers (M=10, F=8; BS ave 213.2± 6.80), 12 semi-elite bowlers (M=7, F=5; BS ave 181.3± 9.36) and 33 sedentary university students (M=14, F=19) were recruited. Anthropometric measurements were taken and isometric arm strength was recorded. Between-group differences were identified through a two-way ANOVA, while discriminant analysis was used to predict group membership. For anthropometric characteristics, the results indicated that the elite bowlers were heavier, had longer lower leg and hand length and had a wider arm span as compared to the non-bowlers. The elite group also had stronger forearm/wrist internal rotation compared to non-bowlers. In addition, the male elite group were stronger than the non-bowling group for arm flexion. There appeared to be a 54 success rate for predicting group membership from selected anthropometric and strength discriminating variables, with forearm/wrist internal rotation strength being the best discriminating variable. It is suggested that coaches should benefit by selecting larger built bowlers with long limbs. Furthermore, bowlers could potentially gain by paying extra attention to increasing the strength levels of forearm/wrist internal rotators and arm flexors during training. These findings also provide normative data for elite and semi-elite bowlers.

Item Type: Article
Additional Information: 920RV Times Cited:0 Cited References Count:26
Uncontrolled Keywords: Bowling prediction discriminant analysis performance players handball soccer
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 11 Jan 2013 02:13
Last Modified: 07 Feb 2019 08:03

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