Dingenen Bart, Barton Christian, Janssen Tessa, Benoit Anke, Malliaras Peter
Rehabilitation Research Centre, Biomedical Research Institute, Faculty of Medicine and Life Sciences, UHasselt, Diepenbeek, Belgium.
La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, La Trobe University, Bundoora, Victoria, Australia; Complete Sports Care, Hawthorn, Victoria, Australia; Department of Surgery, St Vincent's Hospital, University of Melbourne, Australia.
Phys Ther Sport. 2018 Sep;33:40-47. doi: 10.1016/j.ptsp.2018.06.009. Epub 2018 Jun 30.
To examine test-retest reliability of two-dimensional measured frontal and sagittal plane kinematics during running, and to determine how many steps to include to reach and maintain a stable mean.
Reliability study.
Research laboratory.
Twenty-one recreational runners.
Lateral trunk position, contralateral pelvic drop, femoral adduction, hip adduction, knee flexion and ankle dorsiflexion during midstance, and foot and tibia inclination at initial contact were measured with two-dimensional video analysis during running for 10 consecutive steps for both legs. All participants were tested twice one week apart. A sequential estimation method was used to determine the number of steps needed to reach a stable mean. Intraclass correlation coefficients (ICC) and smallest detectable differences (SDD) were calculated.
The minimal number of steps was 6.3 ± 0.3. Lateral trunk position, femoral adduction and foot inclination showed excellent reliability (ICC 0.90-0.99; SDD 1.3°-2.3°). Tibia inclination and ankle dorsiflexion showed good to excellent reliability (ICC 0.73-0.92; SDD 2.2°-4.8°). Hip adduction and knee flexion showed good reliability (ICC 0.82-0.89; SDD 2.3°-3.8°). Contralateral pelvic drop showed moderate to good reliability (ICC 0.59-0.77; SDD 2.7°-2.8°).
Two-dimensional video analysis is reliable to assess running kinematics on different days. The mean of at least 7 steps should be included.
研究跑步过程中二维测量的额状面和矢状面运动学的重测信度,并确定需要纳入多少步才能达到并维持稳定的平均值。
信度研究。
研究实验室。
21名业余跑步者。
在跑步过程中,通过二维视频分析测量双腿连续10步的支撑中期的躯干侧方位置、对侧骨盆下降、股骨内收、髋关节内收、膝关节屈曲和踝关节背屈,以及初始接触时的足部和胫骨倾斜度。所有参与者在相隔一周的时间内接受两次测试。采用序贯估计法确定达到稳定平均值所需的步数。计算组内相关系数(ICC)和最小可检测差异(SDD)。
所需的最少步数为6.3±0.3步。躯干侧方位置、股骨内收和足部倾斜度显示出极好的信度(ICC 0.90 - 0.99;SDD 1.3° - 2.3°)。胫骨倾斜度和踝关节背屈显示出良好至极好的信度(ICC 0.73 - 0.92;SDD 2.2° - 4.8°)。髋关节内收和膝关节屈曲显示出良好的信度(ICC 0.82 - 0.89;SDD 2.3° - 3.8°)。对侧骨盆下降显示出中度至良好的信度(ICC 0.59 - 0.77;SDD 2.7° - 2.8°)。
二维视频分析在不同日期评估跑步运动学是可靠的。应纳入至少7步的平均值。