开发第一个原生回归方程来预测健康男孩的心肺健康状况
Majid Jalili1, Farzad Nazem1, Arian Qaragozlu2
1Department of Physical Education and Sport Sciences, Bu-Ali Sina University, Hamedan, Iran.
Iranian journal of public health
|March 4, 2024
概括
新的回归方程准确地预测了伊朗男孩在没有运动的情况下的心脏呼吸能力 (CRF). 这些简单的工具在大型研究中评估CRF,促进更好的健康监测.
科学领域:
- 运动生理学 运动生理学
- 公共卫生 公共卫生
- 儿科健康 儿科健康
背景情况:
- 心血管健康 (CRF) 是一个关键的健康指标.
- 最大氧气吸收 (VO2max) 是CRF测量的黄金标准.
- 非练习回归方程为CRF评估提供了一个安全的替代方案.
研究的目的:
- 开发第一个原生回归方程来预测伊朗健康男孩的CRF.
- 在这个人群中建立一种非运动方法来评估CRF.
主要方法:
- 在597名伊朗男孩 (8-17岁) 中测量了CRF和人类学变量.
- 利用多重回归分析创建CRF预测方程.
- 使用PRESS统计数据,皮尔森相关性,布兰德-阿尔特曼图表和配对t测试验证的方程.
主要成果:
- 根据年龄,BMI,身体脂肪和静止心率 (R2=0.602-0.639) 开发了CRF回归方程.
- 在交叉验证时,方程显示了SEE的轻微收缩和轻微增加.
- 显示强烈的相关性 (R=0.847-0.883) 和测量和预测CRF之间的一致性.
结论:
- 介绍了健康的伊朗男孩的简单,准确的CRF回归方程.
- 这些方程在大型研究中为评估心肺健康提供了实用工具.
- 促进儿童群体的非侵入性CRF评估.
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