基于周长的预测方程的开发和交叉验证,以估计活跃人口的身体脂肪
Kathryn M Taylor1, Michael P Castellani1,2, P Matthew Bartlett1
1Military Performance Division US Army Research Institute of Environmental Medicine Natick Massachusetts USA.
Obesity science & practice
|April 22, 2024
概括
为美国陆军士兵开发并验证了新的身体脂肪预测方程. 单次腰围测量为评估身体组成和识别健康风险提供了更高的准确性.
科学领域:
- 军队的医疗卫生.
- 人体的组成 人体的组成
- 生物识别信息 生物识别信息
背景情况:
- 美国陆军使用特定性别的方程来估计体脂百分比 (%BF) 以达到身体成分标准.
- 定期评估可确保在不同种群中的准确性.
- 当前的陆军规则 (AR) 方程需要改进,以获得更好的实地实时性和准确性.
研究的目的:
- 开发和验证用于估计%BF的替代,现场方程.
- 改进现有的AR体脂肪预测方程.
主要方法:
- 1904年在现役士兵使用双能X射线吸收度 (%BFDXA) 和周长测量时评估的体型和组成.
- 开发了%BF的性别分层线性预测方程,使用%BFDXA作为标准的内部交叉验证.
- 在1073名士兵的单独队伍中,外部验证的方程.
主要成果:
- 开发了三个新的%BF预测方程,使用一到三个圆位.
- 针对男性的方程显示了显著的准确性增长;针对女性的方程显示了相对于AR方程的微小改进.
- 一个单位腰围方程的准确性与多个站点模型相比较,与健康结果指标保持一致.
结论:
- 新开发的方程改进了当前的AR方程,并具有强大的外部验证.
- 建议使用1位腰围方程,因为它对与肥胖相关的健康结果的准确性和相关性.
- 这些方程可以帮助识别早期健康干预风险的个体.
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