大学生足球运动员和越野运动员肢体闭塞压力在每次探访和不同肢体之间的变异性

Alexander E. Montoye, Danten McFate, Jackson Nordbeck, Ericka A. Bigham, Benjamin Cox, Brian Rider, Jennifer E. Vranish
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摘要

我们的研究评估了肢体闭塞压力(LOP)随时间和肢体间的变化情况。大学生运动员(n=42;样本 1 = 15 名足球运动员,样本 2 = 13 名越野跑运动员,样本 3 = 14 名越野跑运动员)进行了五次检查,每次检查间隔≥48 小时(样本 1),三次检查,每次检查间隔约 3 周(样本 2),或四次检查,每次检查间隔约 3 周(样本 3)。对于所有样本,均使用自动系统对每条腿(样本 3 还包括每只手臂)的仰卧位 LOP 进行评估。使用配对样本 t 检验或 RMANOVA 分别比较不同肢体和不同试验的 LOP。此外,还使用类内相关性和平均绝对百分差异(MAPD)来评估不同测量的一致性和变异性。所有样本的 LOP 在各次检查中均无明显差异,主要具有中等或良好的一致性(类内相关性 r=0.29-0.88)和较低的变异性(MAPD 4.3-9.0%)。左右肢体之间的 LOP 没有明显差异,一致性为中等或良好(r=0.74-0.93),变异性较低(MAPD 为 3.2-7.2%)。LOP 随时间和身体两侧的稳定性表明,LOP 不一定需要每天或双侧测量,这增加了现场实施的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Variability in Limb Occlusion Pressures Across Visits and Between Limbs in Collegiate Soccer and Cross Country Athletes
Our study assessed limb occlusion pressure (LOP) variability over time and between limbs. Collegiate athletes (n=42; Sample 1 = 15 soccer players, Sample 2 = 13 cross country runners, Sample 3 = 14 cross country runners) attended five visits separated by ≥48 hours (Sample 1), three visits separated by ~3 weeks each (Sample 2), or four visits separated by ~3 weeks each (Sample 3). For all samples, supine LOP was assessed in each leg (and also in each arm for Sample 3) using an automated system. Paired samples t-tests or RMANOVA were used to compare LOP between limbs and across trials, respectively. Additionally, agreement and variability across measures were assessed using intraclass correlations and mean absolute percent differences (MAPD). There were no significant differences in LOP across visits for any of the samples, with primarily moderate or good agreement (intraclass correlations r=0.29-0.88) and low variability (MAPD 4.3-9.0%). There were no significant differences in LOP between left and right limbs, with moderate to good agreement (r=0.74-0.93) and low variability (MAPD 3.2-7.2%). The demonstrated stability in LOP over time and between sides of the body suggests that LOP may not always need to be measured daily or bilaterally, adding feasibility to field-based implementation.
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