MODEL FOR PREDICTING CHANGES IN THIGH CIRCUMFERENCE CHANGES IN THE LOWER THIRD OVER TIME IN STUDENTS FROM BUKOVYNA HIGHER EDUCATIONAL INSTITUTIONS BASED ON SPORT TYPE

Author:

Karatieieva S. Yu.

Abstract

The dynamic comparison of thigh circumference in the lower third was conducted in 132 students of Bukovyna (the initial study was carried out during September-October 2021, and a repeat study of these same students in September-October 2022). All students in the main group, aside from their program-specific physical activities, participated in the following sports over the year: 46 (50.00%) students played football, including 38 (41.30%) boys and 8 (8.70%) girls; 19 (20.65%) students played volleyball, including 10 (10.86%) boys and 9 (9.78%) girls; 14 (22.58%) students played handball, including 8 (8.69%) boys and 6 (6.52%) girls; 13 (14.13%) students played basketball, including 9 (9.78%) boys and 4 (4.34%) girls. Students in the control group had physical education classes according to their program requirements but did not engage in additional sports activities. All students underwent an anthropometric assessment, specifically the measurement of thigh circumference in the lower third following the method of P.P. Shaparenka. A paired t-test was employed to compare the students' measurements between the initial assessment and a follow-up one year later. The collected data were statistically analyzed using the licensed program RStudio. Comparing the changes in thigh circumference in the lower third between the main and control groups, it was found that students in the main group who participated in various sports had higher measurements than those in the control group, with an average difference of ±4.40 cm. Comparing the right and left thigh circumferences in the main group demonstrated that the right thigh had a larger circumference (right: 49.26±5.60 cm, left: 45.88±5.45 cm). The comparison of thigh circumference changes over the year showed a noticeable increase in thigh girth in the middle third in 2022 compared to 2021 (right: ±1.27 cm, left: ±2.84 cm). Hence, the predictive model for right thigh circumference (Cdr) in the lower third can be represented as follows: Cdr = β1 + β2 + 0.418w, where Cdr stands for right thigh circumference in the lower third, w denotes weight, β1 values are 25.560 for young girls and 20.165 for young boys, and β2 values are -4.497 for the control group, 0.039 for the football group, 0.039 for the handball group, and 0.502 for the volleyball group. Similarly, the predictive model for left thigh circumference in the lower third (Cdl) is expressed as: Cdl = β1 + β2 + 0.387w, where Cdl represents left thigh circumference in the lower third, w denotes weight, β1 values are 24.638 for young girls and 18.523 for young boys, and β2 values are -0.051 for the control group, 0.379 for the football group, -0.291 for the handball group, and 0.323 for the volleyball group. Gender, sport type, and weight serve as significant predictors for predicting thigh circumference in the lower third.

Publisher

Ukrainian Medical Stomatological Academy

Subject

General Materials Science

Reference20 articles.

1. Pavlović R, Mihajlović I, Radulović N, Nikolić S. Anthropometric parameters of elite male runners sprint: are body height and body weight good predictors of results. Health, sport, rehabilitation, 2022; 8(3): 64-74.

2. Vujkov S, Casals C, Krneta Z, Drid P. Ultra short-term heart rate recovery after maximal exercise in two different body positions in elite male judokas compared to students of the sport faculty. Sport Mont. 2016; 14 (1): 7–11.

3. Gusic M, Popovic S, Masanovic B, Radakovic M. Sport-specific morphology profile: differences in anthropometric characteristics among elite soccer and handball players. Sport Mont 2017; 15 (1): 3–6.

4. Hyka A, Bicoku E, Mysliu A, Cuka A. The Association of Sprint Performance with Anthropometric Parameters in Youth Soccer Players. Sport Mont. 2017; 15 (1): 31–33.

5. Ezeiza J, Tam N, Torres-Unda J, et al. Anthropometric characteristics of top-class Olympic race walkers. Journal of Sports Medicine and Physical Fitness. 2019; 59(3): 429-433.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3