儿童友好的2分钟步行测试的可行性:一个交叉随机对照试验
Nicholas A Kanetzke1, Jacqueline E Westerdahl1, Chris C Cho1
1College of Health Professions & Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
Physical & occupational therapy in pediatrics
|January 22, 2024
概括
修改后的NIH工具箱2分钟步行测试 (2MWT) 协议,修改后的可访问性路径 (MAP),与标准协议相比,在幼儿中显著提高了完成率和准确性.
科学领域:
- 儿科物理治疗 儿科物理治疗
- 动力发展评估 动力发展评估
- 临床试验方法论 临床试验方法论
背景情况:
- 对于NIH工具箱2分钟步行测试 (2MWT) 的标准化协议通常对幼儿进行修改,影响结果的概括性.
- 需要为3-6岁儿童提供标准化,但适合儿童的2MWT协议.
研究的目的:
- 为了比较3-6岁儿童在标准NIH工具箱2MWT协议与修改协议 (MAP) 上的表现.
- 为了评估测试完成,行走的距离和两个协议之间的准确性.
主要方法:
- 一个交叉随机对照试验,涉及15名典型发育的3-6岁儿童.
- 儿童被随机分配,首先执行标准NIH工具箱2MWT或修改可访问性路径 (MAP) 2MWT.
- 结果措施包括测试完成,距离和准确性,使用麦克纳马测试,威尔科克森签名等级测试和概括估计方程进行分析.
主要成果:
- 所有孩子都使用MAP协议完成了2MWT,而只有40%完成了标准的NIH工具箱协议.
- 儿童在使用MAP协议时,每圈的错误显著减少 (p < 0.0001).
- 儿童在使用MAP协议时行走的距离明显更长 (p = 0.006).
结论:
- 修改后的可访问性路径 (MAP) 协议证明了对幼儿2MWT标准化应用的初步支持.
- 一个适合儿童的协议提高了完成率,准确性和2MWT的步行距离,适用于这个年龄组.
相关概念视频
Multiple Comparison Tests
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
McNemar's Test
McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...


