Journal of
Physical Education and Sport Management

  • Abbreviation: J. Phys. Educ. Sport Manag.
  • Language: English
  • ISSN: 2141-6486
  • DOI: 10.5897/JPESM
  • Start Year: 2010
  • Published Articles: 74

Full Length Research Paper

Determining anthropometry related with Fencing using social data mining

  Alberto Ochoa1*, Guadalupe Gutiérrez2, Lourdes Margain2 and Alejandro de Luna2        
  1Juarez City University, Mexico. 2Polytechnic University of Aguascalientes, Mexico.
Email: [email protected]

  •  Accepted: 05 December 2012
  •  Published: 31 August 2013

Abstract

 

This paper presents a study to determine the size and direction of changes in anthropometric characteristics between two female teams of players Fencing belonging to the Juarez City University and Université Quebecoise Au Montreal, considering assess differences in anthropometric parameters, body fat, body mass index (BMI) and body density induced by sport−specific morphological optimization (adaptation). The survey included a total of 160 male Fencing players, all members of University teams of Fencing. The sample from Juarez City consisted of 95 players (71.9% of target population) aged between 18 and 30 years, and the sample from Montreal included 65 players (50% of target population) aged between 19 and 29 years. The variables of influence, in the Fencing to be considered for the development of this study have been described and measured under standard conditions by procedures established by the International Biological Program. They measured 23 anthropometric variables influence reflecting basic human body characteristic described by skeletal bone lengths (total leg length, total arm length, hand length, foot length, and height), breadths (hand at proximal phalanges, foot in metatarsal area, biacromial, biliocristal, biepicondylar femur, biepicondylar humerus, and radio−ulnar wrist breadth), girths (chest, arm, forearm, thigh, and calf girth), skinfold thickness as a measure of subcutaneous adiposity (triceps, subscapular, axillary, calf, and abdominal skinfold thickness), and mass. Additionally, estimates of body mass index (BMI), body density, and percentage of body fat were calculated from the primary measures to reveal possible trends in adiposity measures and the human body.

 

Key words: Anthropometrics, social data mining, and influencing variables in fencing.