生物阻抗分析和超声波扫描在身体组成评估中的协议
Elvira A Bondareva1, Olga I Parfenteva1, Ekaterina A Troshina2
1Department of Molecular Biology and Genetics, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.
概括
这项研究比较了生物电阻分析 (BIA) 和A模式超声波 (AUS) 对于女性的身体组成. 虽然组级结果相似,但一致意见不同,但新的方程改进了FFM和%BF的估计.
科学领域:
- 身体组成分析分析.
- 生物医学工程 生物医学工程
- 人类测量学 人类测量学.
背景情况:
- 准确的身体成分评估对健康和健康至关重要.
- 生物电阻分析 (BIA) 和A模式超声波 (AUS) 是常见的方法.
- 评估BIA和AUS之间的协议对于临床应用很重要.
研究的目的:
- 评估BIA (ABC-02 Medas) 和AUS (BodyMetrixTM BX2000) 之间的脂肪质量 (FM),无脂肪质量 (FFM) 和身体脂肪百分比 (%BF) 的协议.
- 评估这些方法在女性群体中的可互换性.
- 开发用于将AUS数据转换为BIA数据的预测方程.
主要方法:
- 这是一项涉及206名年龄在18-67岁之间的女性的横截面观察性研究.
- 使用BIA和AUS测量的身体组成,以及身高,体重和周长.
- 统计分析包括协议评估 (一致性相关系数 - CCC).
主要成果:
- 与BMI (20.9%) 相比,肥胖患病率较高,符合%BF标准 (AUS: 53.4%,BIA: 54.8%).
- 在%BF,FM和FFM的群体水平上观察到微不足道的差异.
- 对于%BF和FFM (CCC范围:0.72-0.86) 发现了低一致性,对于FM (CCC范围:0.91-0.94) 发现了中等一致性.
- 新生成的预测方程将%BF和FFM的协议改进到中等水平.
结论:
- 在身体组成方面,BIA和AUS在组级别上显示了微不足道的差异.
- 对于%BF和FFM的个人协议是低到中等的,需要转换方程.
- 拟议的方程有助于将AUS身体组成结果转换为BIA数据.
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