Neurorestoration Center, University of Southern California, Los Angeles, CA, USA; Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, USA.
Department of Kinesiology and Nutrition Services, University of Nevada, Las Vegas, NV, USA.
Gait Posture. 2020 Jun;79:210-216. doi: 10.1016/j.gaitpost.2020.05.001. Epub 2020 May 7.
The OPTIMAL theory of motor learning identifies motivational (enhanced expectancies, EE, and autonomy support, AS) and attentional (an external attentional focus, EF) factors that affect motor performance and learning [1]. One implication of this theory is that standardized clinical and laboratory assessments of physical capacity and motor performance that do not incorporate optimizing conditions may underestimate true maximal capabilities. The influence of "optimized" conditions on a clinical-applied test of balance control was examined with healthy participants. Given the motor performance benefits of optimized conditions predicted by the OPTIMAL theory, it was hypothesized that providing participants with information that induced EE, provided them with AS, and promoted their use of EF would reduce balance errors and postural sway.
We used as an exemplar assessment, the Balance Error Scoring System (BESS), and center-of-pressure (COP) velocity measurements of postural sway. Participants performed under two different conditions, separated by two days: an optimized (EE, AS, and EF) condition and a control ("neutral") condition, with sample-wide order counterbalancing. In each condition, participants performed three stances (double-leg, single-leg, and tandem) on two support surfaces (firm and foam). Stance order was participant-determined in the optimized condition and, for the control condition, yoked to a participant in the optimized condition.
Participants committed fewer balance errors in the optimized condition than in the control condition (p < .001) and their resultant COP velocity in the optimized condition was lower than that in the control condition (p = .004). BESS scores were correlated with resultant COP velocity (r = .593, p < .001).
Our results demonstrated the impact of implementing optimized, as opposed to "neutral" control, conditions for better insight into balance capabilities in normal and challenging situations. Practitioners' roles in mediating test situations and using subtle wording to promote optimized performance may have consequential impacts on motor assessment outcomes.
运动学习的 OPTIMAL 理论确定了影响运动表现和学习的动机(增强的期望 EE 和自主支持 AS)和注意力(外部注意力焦点 EF)因素。该理论的一个含义是,不包含优化条件的标准化临床和实验室评估身体能力和运动表现可能会低估真正的最大能力。本研究旨在探讨“优化”条件对平衡控制的临床应用测试的影响,研究对象为健康参与者。鉴于 OPTIMAL 理论预测优化条件对运动表现的有益影响,研究假设为参与者提供增强期望、提供自主支持并促进他们使用外部注意力焦点的信息,将减少平衡错误和姿势摆动。
我们使用平衡错误评分系统(BESS)和姿势摆动的中心压力(COP)速度测量作为范例评估。参与者在两天内分两次在两种不同条件下进行测试:优化(EE、AS 和 EF)条件和对照(“中性”)条件,采用全样本范围的平衡反序。在每种条件下,参与者在两种支撑表面(坚固和泡沫)上执行三种姿势(双腿、单腿和串联)。在优化条件下,参与者确定姿势顺序,而在对照条件下,姿势顺序与优化条件下的参与者相匹配。
与对照条件相比,参与者在优化条件下的平衡错误更少(p <.001),其在优化条件下的 COP 速度也更低(p =.004)。BESS 评分与 COP 速度呈正相关(r =.593,p <.001)。
我们的结果表明,实施优化条件而非“中性”对照条件可以更好地了解正常和挑战性情况下的平衡能力。从业者在调节测试情况和使用微妙的措辞来促进优化表现方面的作用可能对运动评估结果产生重大影响。