Prediction of selected anthropometric parameters on straid length performance for college level men short and long distance runners

S. Mathavan, A. Praveen
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Abstract

In this study totally 30 athletes were selected randomly from Pondicherry University who are all participated intercollegiate athletic tournament in short and long distance events, in this 15 athletes from short distance and 15 from long distance runners. Their age ranged from 17 to 28 years as per their university records, variables were restricted for this study anthropometric parameters such as Mid -thigh girth, calf mid girth, leg length, BMI as well straid length performance.  Collection of data: (Straid length) before starting data collection 400 mts track were divided in to 5 half, then selected subjects were taken sufficient time before starting data collection for getting warming up them self-it’s for avoiding injuries as well minimize data error, after that they were commended to run 400mts running then researcher has taken random data from each half and converted mean value for analyse data. Statistics: collected data were used for analyse relationship between anthropometric parameters and straid length Pearson product moment co-relation were used with 0.05 significance level. Results: Long distance runners in this there is positive Relationship between Mid- Thigh Girth and Straid Length Performances as well Calf Girth and Straid Length Performances. But there is no relationship between Leg Length and Straid Length Performance as well Body Mass Index and Straid Length Performance. Short distance runners in this there is positive Relationship between Mid- Thigh Girth and Straid Length Performances, Calf Girth and Straid Length Performances as well BMI and Straid Length Performances. But there is no relationship between Leg Length and Straid Length Performance.
选定人体测量参数对大学水平男子短距离和长距离运动员横纹长度表现的预测
本研究随机选取本地治里大学参加校际短距离和长距离运动比赛的运动员30名,其中短距离运动员15名,长距离运动员15名。根据他们的大学记录,他们的年龄从17岁到28岁不等,这项研究的变量限制了人体测量参数,如大腿中围、小腿中围、腿长、BMI以及腰围表现。数据收集:(Straid length)在开始数据收集之前,将400米的跑道分成5半,然后在开始数据收集之前,选定的受试者有足够的时间进行自我热身,这是为了避免受伤,也为了减少数据误差,之后推荐他们进行400米的跑步,然后研究人员从每一半随机取数据并转换平均值作为分析数据。统计学:收集的数据用于分析人体测量参数与条纹长度的关系,Pearson积矩相关采用0.05显著水平。结果:长跑运动员大腿中围与腰长、小腿围与腰长之间存在正相关关系。但腿长与腰长性能、体质量指数与腰长性能之间没有关系。短距离运动员的大腿中围与腰长、小腿围与腰长、身体质量指数与腰长之间存在正相关关系。但腿长与腰长之间没有关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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