Relations between Anthropometric Dimensions and Overcome Resistance in Individual Motion

Authors

  • Miroslav Dodig

Keywords:

multiple regressive analysis, relations, anthropometric dimensions, overcome maximum resistance in individual motion

Abstract

The research was carried out on a sample of 124 subjects, 15-16 year old males. An analysis was performed of the relations of anthropometric body characteristics and overcome resistance in individual motion. Obtained information was submitted for mathematical analysis, the MULTREG program, from the statistical program “STAT – PACK” (Gauss – Jordan, 1954, Cooley – Lohnes, 1962). On the basis of maximum cohesion and regressive coefficients, variables that measured body volume, transversal skeletal dimension and longitudinal skeletal dimension have the highest cohesion with the overcome maximum resistance in individual motion from anthropometric body characteristics. The weakest contribution to predicting resistance lies within the variables that measured subcutaneous adipose tissue. High cohesion of variables of the overcome maximum resistance in individual motion with anthropometric body characteristics indicates that a part of the resistance variable in motion is conditioned by mutable flexible anthropometric values. As the overcome maximum resistance in motion is mainly conditioned by the structure for generating intensity and duration of energy release, thus the anthropometric dimensions, especially in the volume segment, body volume and transversal skeletal dimensionality, present a factor that significantly participates in the realization of motion with increased requirements for overcoming maximum resistance in motion.

How to Cite

Miroslav Dodig. (2014). Relations between Anthropometric Dimensions and Overcome Resistance in Individual Motion. Global Journal of Science Frontier Research, 14(E2), 27–31. Retrieved from https://journalofscience.org/index.php/GJSFR/article/view/1224

Relations between Anthropometric Dimensions and Overcome Resistance in Individual Motion

Published

2014-05-15