预测成年人随着时间的推移最大的氧气吸收:来自FRIEND注册表的分析
V Z Dourado1,2, A C Barbosa1, M S M P Simões1
1Departamento de Ciências do Movimento Humano, Universidade Federal de São Paulo, Santos, SP, Brasil.
概括
新的方程使用非运动因子预测最大氧气摄入量 (V·O2max). 这些模型对包括发展中国家在内的不同人口来说是准确的,并随着时间的推移跟踪变化.
科学领域:
- 运动生理学 运动生理学
- 心肺运动测试 心肺运动测试
- 生物统计学 生物统计学
背景情况:
- 现有的最大氧气吸收 (V·O2max) 预测方程在发展中国家往往缺乏准确性.
- 需要可靠的VO2max预测模型,适用于不同的人口和社会经济背景.
- 在没有直接运动测试的情况下预测VO2max对于更广泛的健康评估至关重要.
研究的目的:
- 开发和验证用于预测成年人跑步机V·O2max的新式方程.
- 确定预测V̇O2max.的关键非运动变量 (人口统计,人体测量,临床).
- 确保方程在基线和随着时间的推移都准确,并适用于不同的国家.
主要方法:
- 线性混合效应模型被用来开发V̇O2max预测方程.
- 分析了2,170名成年人 (美国和巴西) 的数据,他们接受了两次心肺运动测试 (CPET).
- 交叉验证使用变化系数,类内相关系数和Bland和Altman图进行.
主要成果:
- 使用年龄,BMI,性别,国家,动脉高血压,高脂血症,吸烟,体力活动水平和β-阻断剂使用 (R2=0.566) 开发了一个初级方程.
- 该方程通过布兰德和奥尔特曼分析在基线 (平均差异0.01) 和随着时间的推移 (平均差异0.44) 证明了可靠性.
- 人口,人体,心血管风险因素和药物使用是VO2max的重要预测因素.
结论:
- 开发的V̇O2max预测方程可靠地用于类似于美国和巴西的人口.
- 非运动变量有效预测基线V·O2max及其随时间变化的情况.
- 这些方程为在临床和研究环境中估计V̇O2max提供了有价值的工具,特别是在CPET有限的地方.
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