Physical Education Department, College of Education, Qatar University, Doha 2713, Qatar.
Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, Italy.
Int J Environ Res Public Health. 2022 Aug 24;19(17):10533. doi: 10.3390/ijerph191710533.
Impaired balance is associated with an increased risk of lower extremity injuries. The purpose of this study was to investigate the relationship between age, anthropometric measurement, and asymmetry index (AI) in an adolescent high school population. Twenty-six male students (15 ± 1.0 years) were randomly selected. Body composition, measurements of vertical jump height using a countermovement jump test (CMJ), and dynamic single stance balance using the Y-balance test (YBT), were collected over 4 weeks. Hierarchical multiple linear regression analyses were used as dimension reduction techniques in four different blocks to determine valid predictors for AIs. In the first regression analysis, controlling for age, body mass, height, and body mass index (BMI), the regression coefficient (B = 0.383, 95% confidence interval [CI] [0.088, 0.679], < 0.05) associated with body fat indicated that with each additional unit of body fat, the YBT AI increased by 0.383 units. In the second regression analysis, controlling for age, body mass, and BMI, the regression coefficients associated with height (B = -1.692, 95% CI [-3.115, -0.269], < 0.05] and body fat percentage (B = 0.529, 95% CI [0.075, 0.983], < 0.05) indicated that with each additional unit of height or body fat percentage, the CMJ AI decreased by 1.692 units and increased by 0.529 units. Grouping participants based on body fat percentage had a significant effect on the AIs ( < 0.05) of the CMJ and YBT. The AI of the CMJ was 15% higher, and that of the YBT was 7% higher in non-obese students than obese students. These findings contribute to the knowledge of the local community and the emerging body of literature on motor skills and competence related to weight in this population.
平衡能力受损与下肢受伤的风险增加有关。本研究旨在调查青少年高中人群中年龄、人体测量学测量和不对称指数(AI)之间的关系。随机选择了 26 名男性学生(15±1.0 岁)。在 4 周内收集了身体成分、使用反跳式跳高技术(CMJ)测量的垂直跳跃高度以及使用 Y 平衡测试(YBT)测量的动态单腿平衡。使用层次多重线性回归分析作为降维技术,在四个不同的块中确定 AI 的有效预测因子。在第一次回归分析中,控制年龄、体重、身高和体重指数(BMI),与体脂相关的回归系数(B=0.383,95%置信区间[CI] [0.088,0.679],<0.05)表明,每增加一个单位的体脂,YBT AI 增加 0.383 个单位。在第二次回归分析中,控制年龄、体重和 BMI,与身高(B=-1.692,95%CI[-3.115,-0.269],<0.05]和体脂百分比(B=0.529,95%CI[0.075,0.983],<0.05]相关的回归系数表明,每增加一个单位的身高或体脂百分比,CMJ AI 降低 1.692 个单位,增加 0.529 个单位。根据体脂百分比对参与者进行分组对 CMJ 和 YBT 的 AI 有显著影响(<0.05)。与肥胖学生相比,非肥胖学生的 CMJ AI 高 15%,YBT AI 高 7%。这些发现有助于了解当地社区的知识和与该人群体重相关的运动技能和能力的新兴文献。