Y balance test: Are we doing it right?
Y balance test: Are we doing it right?
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DOI：
10.1016/j.jsams.2019.09.016
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发表时间：
2020-02-01
影响因子：
4
通讯作者：
Cortis, Cristina
中科院分区：
文献类型：
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作者：
Fusco, Andrea;Giancotti, Giuseppe Francesco;Cortis, Cristina
目的：姿势控制的多方面特征和任务特异性清楚地反映了需要知道哪些因素会影响平衡措施，以提供可靠和公正的信息。因此，本研究的目的是探讨影响选定的人体测量特征，性别，下肢的力量和优势的Y平衡测试（YBT）。设计：描述性实验室study.Methods：42名年轻人进行了YBT。记录原始和标准化到达距离值。ANOVA被用来检查性别和肢体优势之间的差异，而多元线性回归模型被建立，以确定变量与更好的姿势controls.Results：没有显着的性别差异，观察到，除了归一化的前向（p = 0.0324）。四肢之间没有显着差异。回归模型显著解释了8-49%的方差。树干长度，强度，性别与强度之间的相互作用是原始措施的主要预测因子。出乎意料的是，下肢长度仅解释了原始前向方差的0.08%。强度及其与性别的相互作用与标准化措施呈正相关。令人惊讶的是，相对下肢长度变量与标准化措施呈负相关。下肢相对长度每增加1个百分点，标准化运动成绩下降1.73%~ 4.91%。结论：人体测量特征、性别和下肢力量对YBT的影响不同，与肢体优势无关。因此，这些变量应加以控制，以限制准确评估姿势平衡的变异性，特别是如果使用不同的YBT措施。(C)2019年澳大利亚运动医学由爱思唯尔有限公司出版。保留所有权利。
Objectives: The multifaceted characteristic and task-specificity of postural control clearly reflects the need of knowing which factors could influence the balance measures in order to provide reliable and unbiased information. Therefore, this study aimed to investigate the effects of selected anthropometric characteristics, sex, lower limb's strength and dominance on the Y balance test (YBT).Design: Descriptive laboratory study.Methods: Forty-two young adults performed the YBT. The raw and normalized reach distances values were recorded. ANOVA was used to examine differences between sex and limb dominance, whereas multiple linear regression models were built to identify variables associated with better postural control.Results: No significant sex differences were observed, except for the normalized anterior direction (p = 0.0324). No significant differences between limbs emerged. Regression models significantly explained between 8-49% of the variance. Trunk length, strength, and the interaction between sex with strength were the major predictors of the raw measures. Unexpectedly, lower limb length explained only 0.08% of the raw anterior direction variance. Strength and its interaction with sex were positively associated with normalized measures. Surprisingly, the relative lower limb length variable was negatively associated with the normalized measures. Each % point increase in relative lower limb length was associated with a decrease in normalized performance ranging from 1.73 to 4.91%.Conclusions: Anthropometric characteristics, sex and lower limb strength differently influenced the YBT measures, regardless of limb dominance. Consequently, these variables should be controlled to limit the variability for an accurate evaluation of postural balance, especially if different YBT measures are used. (C) 2019 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.