Division of Rehabilitation Science, Department of Rehabilitation Medicine, University of Minnesota, 420 Delaware Street SE MMC 388, Minneapolis, MN 55455, United States.
Department of Psychology, University of Minnesota, 75 E River Rd, Minneapolis, MN 55455, United States; School of Statistics, University of Minnesota, 224 Church St SE, Minneapolis, MN 55455, United States.
J Electromyogr Kinesiol. 2021 Dec;61:102591. doi: 10.1016/j.jelekin.2021.102591. Epub 2021 Sep 8.
Neck pain is a prevalent condition and clinical examination techniques are limited and unable to assess out-of-plane motion. Recent works investigating cervical kinematics during neck circumduction (NC), a dynamic 3D task, has shown the ability to discern those with and without neck pain. The purposes of this study were to establish 1) confidence and prediction intervals of head-to-torso kinematics during NC in a healthy cohort, 2) a baseline summative metric to quantify the duration and magnitude of deviations outside the prediction interval, and 3) the reliability of NC. Thirty-nine participants (25.6 ± 6.3 years, 19F/20M) without neck pain completed left and right NC. A two-way smoothing spline analysis of variance was utilized to determine the mean-fitted values and 90% confidence and prediction intervals for NC. A standardized effect size was calculated and aggregated across all axes (Delta RMSD aggregate), as a summative metric of motion quality. Confidence and prediction intervals were comparable for left and right NC and demonstrated excellent reliability. The average sum of the Delta RMSD aggregate was 2.76 ± 0.55 for left NC and 2.74 ± 0.63 for right NC. The results of this study demonstrate the feasibility of utilizing normative intervals of a NC task to assess head-to-torso kinematics.
颈部疼痛是一种常见病症，临床检查技术有限，无法评估非平面运动。最近的研究调查了颈部在环转运动（NC）期间的运动学，NC 是一种动态的 3D 任务，已经显示出能够区分有和没有颈部疼痛的人的能力。本研究的目的是建立 1）在健康队列中进行 NC 时头部到躯干运动学的置信区间和预测区间，2）一个基本的综合指标来量化预测区间外的持续时间和幅度偏差，以及 3）NC 的可靠性。39 名无颈部疼痛的参与者（25.6±6.3 岁，19 女/20 男）完成了左侧和右侧 NC。采用双向平滑样条方差分析来确定 NC 的平均值拟合值和 90%置信区间和预测区间。计算了所有轴的标准化效应量（Delta RMSD 总和），作为运动质量的综合指标。左右 NC 的置信区间和预测区间相当，具有极好的可靠性。左侧 NC 的 Delta RMSD 总和平均值为 2.76±0.55，右侧 NC 的 Delta RMSD 总和平均值为 2.74±0.63。本研究的结果表明，利用 NC 任务的规范区间来评估头部到躯干的运动学是可行的。
