高校学生下肢长度的动态比较。

Q4 Medicine
Svitlana Yu Karatieieva, Oleksandr M Slobodian, Yuriy Yu Moseychuk, Natalya Ya Muzyka, Kseniya V Slobodian, Olena O Moroz
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引用次数: 0

摘要

目的:根据运动类型对下肢长度进行动态比较,然后建立预测运动能力的数学模型:目的:根据运动类型对下肢长度进行动态比较,然后构建一个数学模型,用于预测运动能力:材料和方法:对布科维纳高等院校的 132 名学生进行了下肢长度的动态比较。初次研究于 2021 年 9 月至 10 月间进行,对这些学生的下一次研究于 2022 年 9 月至 10 月间进行。主要群体包括 92 名学生(占 69.7%),对照群体为 40 名学生(占 30.30%),年龄在 16 至 18 岁之间。所有学生都按照 P.P. Shaparenka 的方法进行了人体测量研究(测定下肢长度)。为了确定不同运动类型的受访者平均指标之间的可靠差异,采用了 Kruskel-Wallis 检验(非参数方差分析)来比较主要群体中不同运动类型的人体测量参数(分布的中位数被视为中心倾向的衡量标准)。为了确定哪些年龄组对的中位数存在统计差异,采用了 Conover-Iman 检验法。为了比较受访者在第一次测量和一年后再次测量时的下肢长度,采用了配对 t 检验(配对样本 t 检验)。对所获数据的统计分析使用已获授权的 RStudio 程序进行:结果:结果:主要群体受访者右下肢长度的分布按测量结果显示,右下肢长度的平均值发生了变化:在第一次测量(M = 88.812,SD = 5.287)和第二次测量(M = 89.377,SD = 5.347)之间发现右下肢长度存在显著差异;t (68) = -5.223,P < 0.001。左下肢长度的分布情况表明,左下肢长度的平均值也发生了变化:第一次测量(M = 88.667,SD = 5.266)和第二次测量(M = 89.435,SD = 5.309)的左下肢长度存在显著差异;t (68) = -8.289,P < 0.001:结论为了动态比较足球、排球、手球和篮球运动的下肢长度,以全面控制和选拔有潜力的学生,得出了预测相应运动项目下肢长度的数学模型:右下肢 y = 0.506 x,左下肢 y = 0.507x,其中 y - 为左下肢长度,x - 为身高。决定系数为 99.8%。身高是预测双下肢长度的一个重要指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic comparison the lower extremities length in students education in higher institutions.

Objective: Aim: Dynamic comparison of the lower limbs length, depending on the type of sport, followed by the construction of a mathematical model for predicting sports abilities.

Patients and methods: Materials and Methods: The comparison of the lower limbs length in dynamics was carried out on 132 students of higher education institutions of Bukovyna. While the primary study was carried out during September-October 2021, next study of these same students was conducted in September-October 2022. The main group consists of 92 (69.7%) students, the control group - 40 (30.30%) students aged 16 to 18 years. All students underwent an anthropometric study (determination of the length of the lower limbs) according to the method of P.P. Shaparenka. The comparesment of anthropometric parameters in the main group depending on the type of sport used the Kruskel-Wallis test (non-parametric analysis of variance) in order to identify a reliable difference in the average indicators of the respondents depending on the type of sport (the median of the distribution was considered as a measure of central tendency). In order to establish which pairs of age groups had a statistical difference in the medians, the Conover-Iman test was used. A paired t-test (t-test of paired samples) was performed to compare the length of the respondents' lower limbs during the first measurement and again one year later. Statistical analysis of the obtained data was performed using the licensed RStudio program.

Results: Results: The distribution of the length of the right lower limb of the respondents of the main group by measurement shows that the average value of the length of the right lower limb has changed: a significant difference in the length of the right lower limb was found between the first (M = 88.812, SD = 5.287) and the second (M = 89.377, SD = 5.347) measurements; t (68) = -5.223, p < 0.001. The distribution of the length of the left lower limb shows that the average value of the length of the left lower limb has changed also: a significant difference in the length of the left lower limb was found between the first (M = 88.667, SD = 5.266) and the second (M = 89.435, SD = 5.309) measurements; t (68) = -8.289, p < 0.001.

Conclusion: Conclusions: In order to dynamically compare the length of the lower limbs for comprehensive control and selection of promising students in football, volleyball, handball and basketball, a mathematical model was derived for predicting the length of the lower limbs, in corresponding sports: right lower limb y = 0.506 x and left y = 0.507x, where y - is the length of the left lower limb, x - is the height. The coefficient of determination is 99.8%. A significant predictor for the length of both lower limbs is the height.

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来源期刊
Wiadomosci lekarskie
Wiadomosci lekarskie Medicine-Medicine (all)
CiteScore
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