Ko Jupil, Rosen Adam B, Brown Cathleen N
*Department of Kinesiology, The University of Georgia, Athens, Georgia; and †School of Health, Physical Education and Recreation, The University of Nebraska Omaha, Omaha, Nebraska.
Clin J Sport Med. 2017 Jul;27(4):394-399. doi: 10.1097/JSM.0000000000000354.
OBJECTIVE: To determine if a single or/and combined clinical tests match group membership based on self-reported ankle function. DESIGN: Cross-sectional. SETTING: Biomechanics Laboratory. PARTICIPANTS: From participants, 58 meeting inclusion/exclusion criteria were divided into a chronic ankle instability (CAI) group (n = 25) who reported ≤25 on the Cumberland Ankle Instability Tool (CAIT) and a history of moderate-severe ankle sprain(s) and a control group (n = 33) who reported ≥29 on the CAIT and no history of ankle sprain(s). INTERVENTIONS: Participants completed the following clinical tests: Foot Lift Test (FLT), the Star Excursion Balance Test (SEBT), the Single-Leg Hop Test (SLHT), and the Time in Balance Test (TIB) in a randomized order. A linear regression model was applied to determine measures that matched ankle group membership. MAIN OUTCOME MEASURES: The mean of SEBT reach distance was normalized to percentage leg length. The mean of number of errors in the FLT was recorded. The SLHT and TIB were reported as time in seconds, and the means were calculated. RESULTS: The most parsimonious combination of tests (SLHT and SEBT) resulted in correctly matching 70.69% (41/58) of participants into groups, which was significantly better than chance. The multiple correlation coefficients (R value) for combining the SLHT and SEBT was 0.39. CONCLUSIONS: Using SLHT and SEBT resulted in improved recognition of participants designated into the CAI or control groups. Self-report perception of ankle function provides limited information for clinicians and researchers. Using multiple clinical function tests may be more helpful in determining deficits and intervention effectiveness.
目的:根据自我报告的踝关节功能,确定单项或/及联合临床测试是否与分组情况相符。 设计:横断面研究。 地点:生物力学实验室。 参与者:58名符合纳入/排除标准的参与者被分为慢性踝关节不稳(CAI)组(n = 25),这些参与者在坎伯兰踝关节不稳工具(CAIT)上的得分≤25,且有中度至重度踝关节扭伤史;以及对照组(n = 33),这些参与者在CAIT上的得分≥29,且无踝关节扭伤史。 干预措施:参与者以随机顺序完成以下临床测试:足背屈试验(FLT)、星状偏移平衡试验(SEBT)、单腿跳试验(SLHT)和平衡时间试验(TIB)。应用线性回归模型来确定与踝关节分组情况相符的测量指标。 主要观察指标:SEBT伸展距离的平均值以腿长百分比进行标准化。记录FLT中的错误次数平均值。SLHT和TIB以秒为单位报告,并计算平均值。 结果:最简约的测试组合(SLHT和SEBT)使70.69%(41/58)的参与者被正确分组,这显著优于随机分组。SLHT和SEBT联合的多重相关系数(R值)为0.39。 结论:使用SLHT和SEBT能更好地识别被指定为CAI组或对照组的参与者。踝关节功能的自我报告感知为临床医生和研究人员提供的信息有限。使用多种临床功能测试可能更有助于确定缺陷和干预效果。
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