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Physique and motor performance characteristics of US national rugby players

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CONTRIBUTORS:
  Author Robert-Carlson, B.
  Author Lindsay-Carter, J. E.
  Author Patterson, P.
  Author Petti, K.
  Author Orfanos, S. M.
  Author Noffal, G. J.
JOURNAL:
  Journal of Sports Sciences (JSS), 12(4), ?? - ??.
YEAR: 1994
PUB TYPE: Journal Article
SUBJECT(S): RUGBY; SOMATOTYPE; MOTOR-SKILL; ACHIEVEMENT; ANTHROPOMETRY; TEAM-POSITION; COMPARATIVE-STUDY
DISCIPLINE: No discipline assigned
HTTP:
LANGUAGE: English
PUB ID: 103-366-441 (Last edited on 2002/02/27 18:45:01 US/Mountain)
SPONSOR(S):
 
ABSTRACT:
Anthropometric and performance data were collected on 65 US rugby players (mean age=26.3 years) to make comparisons on these characteristics by player position and performance level. Anthropometry included stature, body mass, nine skinfolds, two girths and two bone breadths. Skinfold patterns, estimated percent fat and Heath-Carter somatotypes were calculated from anthropometry. Motor performance measures included standing vertical jump, 40 yard dash, shuttle run, repeated jump in place, push-up, sit-up and squat thrust. Descriptive statistics were used for the total sample as well as selected sub-groups. Discriminant function analyses were employed to determine which combination of variables best discriminated between position and level of performance for the anthropometric and performance data. The results indicated that forwards were taller, heavier and had more subcutaneous adiposity than backs. Additionally, forwards and backs differed in somatotypes, with forwards being more endo-mesomorphic than backs and with a greater scatter about their mean. The anthropometric variables that best discriminated between backs and forwards were body mass, femur breadth and arm girth, with 88 percent correctly classified using these variables. The motor performance variables that best discriminated between backs and forwards were repeated jump in place, push-up and standing vertical jump, with 76 percent correct classification using these variables. Classification into three playing levels was unsatisfactory using either anthropometric or motor performance variables. These data can be used to assess present status and change in players, or potential national players, by position to locate strengths and weaknesses.
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