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身体表面扫描人体测量与一般人群的握力有关
Berit Filges1, Martin Bahls2, Dörte Radke1
1Institute for Community Medicine, Department SHIP Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany.
Nutrition, metabolism, and cardiovascular diseases : NMCD
|April 25, 2024
概括
来自3D扫描的特定身体测量可以预测手握强度 (HGS). 前臂周长和长度是男性和女性的关键指标,有助于健康评估.
科学领域:
- 人类测量学 人类测量学.
- 生物机械分析分析
- 公共卫生 公共卫生
背景情况:
- 身体形状和人体测量是心血管疾病 (CVD) 和死亡率的确立危险因素.
- 手握强度 (HGS) 是一个重要的健康标志物和心血管疾病和死亡率的预测指标.
- 有限的研究存在于身体形状,人体测量和HGS之间的关系.
研究的目的:
- 调查从3D身体扫描和HGS中获得的人类识别标记之间的关联.
- 在以人口为基础的研究中识别HGS的特定人类学预测因素.
主要方法:
- 利用了1599名参与者 (年龄在36-93岁) 在波默兰的健康研究中的数据.
- 作为暴露变量,分析了来自3D身体扫描的87个标准化人体标记.
- 采用性别分层线性回归模型,将人体测量与HGS相关联,根据年龄和身高进行调整.
主要成果:
- 在男性中,前臂周长,手臂到部的长度 (C7),前臂长度和前臂到手指尖的长度显示出与HGS最强烈的关联.
- 在女性中,前臂周长,前臂-指尖长度,肩膀宽度和手腕周长与HGS最明显相关.
- 预测模型解释了男性的54%和女性的37%的HGS变异,使用选择的人类测量标记.
结论:
- 鉴定的人类参数可以在临床环境中潜在地估计HGS.
- 需要在临床环境中进行进一步的验证研究来证实这些发现.
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