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通过使用多变量模式分析,研究身体活动强度范围内的身体活动干预措施在群体间的影响

Eivind Aadland¹, Olav Martin Kvalheim², Elisabeth Straume Haugland³

¹Faculty of Education, Arts and Sports, Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Campus Sogndal, Box 133, Sogndal, 6851, Norway. eivind.aadland@hvl.no.

BMC public health

|November 25, 2025

概括

多变量模式分析有效地评估体力活动 (PA) 干预效应,跨强度谱. 这种方法适用于干预研究,但应该是集群试验的次要方法.

科学领域:

儿童体育活动研究儿童体育活动研究
干预研究分析干预研究分析
在公共卫生领域的统计建模.

背景情况:

需要新的方法来评估体育活动 (PA) 干预效应的全强度范围.
这项研究评估了多变量模式分析,以确定PA干预措施中的跨组效应.

研究的目的:

测试多变量模式分析的适用性,以评估干预对体力活动的影响.
将多变量模式分析与线性混合模型进行比较,以分析PA干预结果.

主要方法:

利用了698名挪威学龄前儿童在集群随机对照试验中的数据.
采用多变量模式分析和线性混合模型,具有不同的PA描述器分辨率 (4,17,51个变量).
在7个月和18个月的随访期间使用ActiGraph GT3X+评估PA.

主要成果:

高分辨率的PA描述符在多变量模式分析中显示出稍微更好的模型匹配 (1.27-3.59%解释差异).
检测到显著的标准化平均差异范围从±0.15到0.36.
多变量模式分析和线性混合模型产生了可比的结果.

结论:

在干预研究中,多变量模式分析是评估PA强度范围内的跨组影响的合适方法.
该方法被推作为集群试验的二次分析,因为集群计算的复杂性.
研究结果支持使用先进的统计方法进行细微的PA干预研究.

关键词:

加速度计的速度计.孩子孩子孩子孩子集群RCT是指一个集群的RCT.多变量模式分析多变量模式分析幼儿园幼儿园幼儿园幼儿园

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