对Ober测试的一种新的替代方法,用于评估右带和左带度之间的差异:可靠性研究
Saverio Colonna1, Marco Mazzanti2, Corrado Borghi3
1Spine Center Project, Bologna, Italy; Scuola Osteopatia OSCE, Osteopathic Spine Center Education, Bologna, Italy.
Journal of bodywork and movement therapies
|November 27, 2024
概括
一个新的手动触摸测试 iliotibial带 (ITB) 刚性显示在特殊训练后高可靠性. 这种方法提供了一种可重复的方法来评估ITB度,有助于对相关病理的临床决策.
科学领域:
- 生物机械评估评估
- 肌肉骨诊断系统的诊断
- 物理治疗技术 物理治疗技术
背景情况:
- 阴带 (ITB) 硬与骨盆,腰椎和膝盖问题有关.
- 目前用于ITB刚度的黄金标准测试 (Ober测试) 缺乏验证,具有可疑的特异性.
- 需要一种经过验证,可靠的方法来评估ITB的刚性和指导治疗.
研究的目的:
- 开发和验证一种新型的手动触摸试验,用于评估 iliotibial 带的刚性.
- 评估拟议的手动评估方法的可复制性和可靠性.
- 为了将手动评估与仪器肌肉测量测量进行比较.
主要方法:
- 两名检查员通过对40名无症状受试者的指尖触摸评估了ITB度差异 (右与左).
- 评估是在20小时的培训课程之前和之后进行的,使用3级和7级的毕业度.
- 计算了可复制性 (内部和内部检查员),并根据肌肉测量测量验证了手动评估.
主要成果:
- 在培训后,内部审查员协议超过0.88,内部审查员协议达到0.72.
- 培训前的协议显著较低 (<0.48 内部检查员,<0.12 内部检查员).
- 手动和仪器硬度评估之间的一致性相当到中等 (频率0.347,硬度0.470).
结论:
- 这种新型的手动触摸测试证明了ITB硬度在内部检查员和内部检查员之间 (一天内) 的良好可重现性.
- 具体的培训对于实现高可靠性至关重要.
- 本研究中手动和仪器ITB刚度评估之间的比较需要进一步调查.
相关概念视频
Goodness-of-Fit Test
The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...
Wald-Wolfowitz Runs Test I
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
The test works...
Wilcoxon Rank-Sum Test
The Wilcoxon rank-sum test, also known as the Mann-Whitney U test, is a nonparametric test used to determine if there is a significant difference between the distributions of two independent samples. This test is designed specifically for two independent populations and has the following key requirements:
Significance Testing: Overview
Significance testing is a set of statistical methods used to test whether a claim about a parameter is valid. In analytical chemistry, significance testing is used primarily to determine whether the difference between two values comes from determinate or random errors. The effect of a particular change in the measurement protocol, analyst, or sample itself can cause a deviation from the expected result. In the case of a suspected deviation/outlier, we need to be able to confirm mathematically...
Friedman Two-way Analysis of Variance by Ranks
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures from...
Odds Ratio
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...


