Sports Medicine Center, Children's Hospital Colorado, Aurora, Colorado.
Department of Orthopedics, University of Colorado School of Medicine, Aurora, Colorado.
Clin J Sport Med. 2020 Sep;30(5):444-450. doi: 10.1097/JSM.0000000000000630.
To determine the test-retest correlation of an objective eye-tracking device among uninjured youth athletes.
Repeated-measures study.
Sports-medicine clinic.
Healthy youth athletes (mean age = 14.6 ± 2.2 years; 39% women) completed a brief, automated, and objective eye-tracking assessment.
Participants completed the eye-tracking assessment at 2 different testing sessions.
During the assessment, participants watched a 220-second video clip while it moved around a computer monitor in a clockwise direction as an eye tracker recorded eye movements. We obtained 13 eye movement outcome variables and assessed correlations between the assessments made at the 2 time points using Spearman's Rho (rs).
Thirty-one participants completed the eye-tracking evaluation at 2 time points [median = 7 (interquartile range = 6-9) days between tests]. No significant differences in outcomes were found between the 2 testing times. Several eye movement variables demonstrated moderate to moderately high test-retest reliability. Combined eye conjugacy metric (BOX score, rs = 0.529, P = 0.008), the variance of the ratio for both eye movements in the horizontal (rs = 0.497, P = 0.013) and vertical (rs = 0.446; P = 0.029) movement planes along the top/bottom of the computer screen, and the variance of the left and right eye movement along the bottom segment of the computer screen (rs = 0.565; P = 0.004) each demonstrated moderate between-test correlations.
Automated and quantitative eye movement and conjugacy metrics provide relatively stable measurements among a group of healthy youth athletes. Thus, their inclusion as a visual tracking metric may be complementary to other visual examination techniques when monitoring concussion recovery across time.
确定无损伤青年运动员使用客观眼动追踪设备的重测相关性。
重复测量研究。
运动医学诊所。
健康的青年运动员（平均年龄=14.6±2.2 岁；39%为女性）完成了简短、自动和客观的眼动追踪评估。
参与者在 2 次不同的测试中完成了眼动追踪评估。
在评估过程中，参与者观看了一段 220 秒的视频片段，视频片段在电脑显示器上以顺时针方向移动，眼动追踪器记录眼动。我们获得了 13 个眼动结果变量，并使用 Spearman's Rho(rs)评估了 2 个时间点之间的评估结果之间的相关性。
31 名参与者在 2 个时间点完成了眼动评估[中位数=7(四分位距=6-9)天]。在 2 次测试之间，结果没有显著差异。几种眼动变量表现出中等至中高度的重测可靠性。综合眼共轭度量（BOX 评分，rs=0.529，P=0.008）、双眼在水平（rs=0.497，P=0.013）和垂直（rs=0.446；P=0.029）运动平面上的比值方差以及电脑屏幕底部的左右眼运动方差（rs=0.565；P=0.004）都显示出中等的测试间相关性。
自动化和定量眼动和共轭度量在一组健康的青年运动员中提供了相对稳定的测量值。因此，当随着时间推移监测脑震荡恢复情况时，将它们作为视觉跟踪度量纳入其中可能与其他视觉检查技术互补。
