Determining the influence of anthropometric indices on balance parameters in young female gymnasts

IF 0.7 Q4 HOSPITALITY, LEISURE, SPORT & TOURISM Pedagogy of Physical Culture and Sports Pub Date : 2023-12-30 DOI:10.15561/26649837.2023.0610
Denis Petran, Vladimir Potop, Ilie Mihai, Anvar Eshtaev, Mirela Damian, Geanina Toma
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Abstract

Background and Study Aim. It is increasingly important to know the influence of age characteristics on the development of motor skills necessary for gymnastics. Currently, this influence is taken into consideration in the training of young female gymnasts. This study aims to determine the anthropometric indices impact on static and dynamic balance parameters in young female gymnasts. Material and Methods. A group of 24 young gymnasts, from the Arad Municipal Sports Club of Romania, participated in this study.  The athletes, aged 6-10 years, were divided into two groups: G1 (6-8 years, n=17) and G2 (9-10 years, n=7). Anthropometric indices were measured by means of Tanita scale. The following indices were monitored: Height (cm), Weight (kg), FATP (%), FATM (kg), FFM (kg), BMI (kg/m2). Balance was evaluated with the Sensamove MiniBoard platform. There were used tests as follows: Static Bipedal Balance (SBB), Lateral Bipedal Balance (LBB) and Vertical Bipedal Balance (VBB). Measured parameters: performance (%); front and back inside (LBB, %); left and right inside (VBB, %); front and back avg. deviation (grade); left and right avg. deviation (degrees). The influence of anthropometric indices on balance parameters was determined using Pearson correlation coefficient. Results. The comparative analysis between groups highlights: average age; relation between weight and height; values of body composition indices. The comparative analysis shows better performances by 2.23% in G1 at SBB and values smaller by 0.35 degrees at average vertical deviations. LBB has better performances in G1 by 10.05% and higher values by 1.79% at keeping inside the vertical space. There is a smaller difference between Confidence Limit of Mean (CLM). As for VBB, the performances are better by 0.41% in G2, keeping inside the space to the left in G1 and to the right in G2. The correlation analysis regarding SB reveals 20% strong connections, 83.3% positive connections with performance and 45.8% negative ones with average deviations in G1. The following were noticed in G2: lack of strong connections, 33.3% positive connections and 25% negative influences. In terms of LBB, G1 has no strong connections, but it has 72.2% positive connections and 45.8% negative connections.  G2 is characterized as follows: 7.1% strong connections, absence of positive connections, 75% - negative connections. VBB presents the following values in G1: 28.6% - strong connections and 45.8% - negative connections. G2 has 9.5% - strong connections, 94.4% - positive connections and 75% - negative ones. Conclusions. By determining the anthropometric indices, the age characteristics of female gymnasts were highlighted. The comparative analysis results of balance parameters reveal better performances and lower values at the average vertical and lateral deviations. Comparing the relationships between anthropometric indices and balance parameters reveals strong connections. It also shows the weight of positive and negative connections with performance, keeping inside the space and value of average deviations. These data can serve as methodological recommendations in future studies.
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确定人体测量指数对年轻女子体操运动员平衡参数的影响
背景和研究目的。了解年龄特征对体操运动技能发展的影响越来越重要。目前,在年轻女子体操运动员的训练中已经考虑到了这种影响。本研究旨在确定人体测量指数对年轻女子体操运动员静态和动态平衡参数的影响。材料和方法。罗马尼亚阿拉德市体育俱乐部的 24 名年轻体操运动员参与了本研究。 运动员年龄在 6-10 岁之间,分为两组:G1组(6-8岁,17人)和G2组(9-10岁,7人)。人体测量指数采用塔尼塔量表进行测量。监测指标如下身高(厘米)、体重(千克)、FATP(%)、FATM(千克)、FFM(千克)、BMI(千克/平方米)。使用 Sensamove MiniBoard 平台对平衡能力进行评估。测试方法如下静态双足平衡(SBB)、侧向双足平衡(LBB)和垂直双足平衡(VBB)。测量参数:成绩(%);前后内侧(LBB,%);左右内侧(VBB,%);前后平均偏差(级);左右平均偏差(度)。人体测量指数对平衡参数的影响采用皮尔逊相关系数进行测定。结果。各组之间的比较分析突出了:平均年龄、体重与身高的关系、身体成分指数值。比较分析表明,G1 的 SBB 表现更好,提高了 2.23%,平均垂直偏差值降低了 0.35 度。LBB 在 G1 中的表现更好,提高了 10.05%,在保持在垂直空间内时,数值提高了 1.79%。平均值置信限(CLM)之间的差异较小。至于 VBB,在 G2 中的表现要好 0.41%,在 G1 中保持在左侧空间内,在 G2 中保持在右侧空间内。对 SB 的相关性分析表明,G1 有 20%的强相关性,83.3%的正相关性与性能有关,45.8%的负相关 性与平均偏差有关。G2 的情况如下:缺乏强关联,33.3%的正关联和 25%的负影响。在 LBB 方面,G1 没有强联系,但有 72.2%的正联系和 45.8%的负联系。 G2 的特点如下:7.1% 强连接,没有正连接,75% 负连接。G1 中的 VBB 值如下:28.6% - 强连接,45.8% - 负连接。G2 有 9.5% 的强连接、94.4% 的正连接和 75% 的负连接。结论通过测定人体测量指数,突出了女子体操运动员的年龄特征。平衡参数的比较分析结果表明,在平均垂直偏差和侧向偏差方面,运动员的表现更好,数值更低。比较人体测量指数和平衡参数之间的关系可以发现两者之间有着密切的联系。它还显示了与成绩、保持在平均偏差空间和数值内的正负联系的权重。这些数据可作为今后研究的方法建议。
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来源期刊
Pedagogy of Physical Culture and Sports
Pedagogy of Physical Culture and Sports Social Sciences-Education
CiteScore
2.00
自引率
0.00%
发文量
45
审稿时长
6 weeks
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