心率指数 - - 一种基于运动的替代方程,用于估计高峰VO2值
John R Wicks1, Neil B Oldridge, Barry A Franklin
1Author Affiliations: Department of Rehabilitation, Gold Coast University Hospital, Southport, Queensland, Australia (Dr Wicks); School of Rehabilitation Sciences & Technology, College of Health Professions & Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin (Dr Oldridge); and Preventive Cardiology and Cardiac Rehabilitation, Corewell Health, William Beaumont University Hospital, Royal Oak, Michigan (Dr Franklin).
心率指数 (HRI) 准确地估计了测量到的氧气吸收峰值 (VO2峰值). 估计的VO2峰值显著超出实际值的预测,这表明HRI方程可以改善健身评估.
科学领域:
- 心血管生理学心血管生理学
- 运动科学 运动科学
- 预测生物标志物 预测生物标志物
背景情况:
- 心率 (HR) 衍生变量和氧气吸收峰值 (VO2峰值) 是死亡率的关键预后指标.
- 心率指数 (HRI) 作为VO2峰值的替代品的实用性尚未完全确定.
- 准确的VO2峰值估计对于心血管风险评估至关重要.
研究的目的:
- 为了确定心率指数 (HRI) 作为测量 (Meas) 和估计 (Est) 峰值氧气吸收 (VO 2peak) 的可靠替代品,在循环人体质量 (CE) 和跑步机测试 (TT) 期间测量心率指数 (HRI).
- 为了将HRI衍生的VO2峰值 (HRI-VO2峰值) 与Meas和Est VO2峰值进行比较.
- 与传统估计方法相比,评估HRI在预测VO2峰值方面的准确性.
主要方法:
- 一项系统的文献搜索确定了150项报告HR衍生变量和VO2峰值的研究.
- 使用方程METs = 6 × HRI - 5计算HRI-VO2峰值,其中HRI=峰值HR/休息HR.
- 将HRI-VO 2峰与Meas CE/TT-VO 2峰 (n=21,773) 和Est CE/TT-VO 2峰 (n=331,435) 的组平均数据进行了比较.
主要成果:
- HRI-VO 2峰值与Meas CE/TT-VO 2峰值 (1%的差异;7.08 ± 3.02 METs与7.15 ± 3.25 METs相比) 显示出密切一致.
- 埃斯特CE/TT-VO2峰值显著超过预测的HRI-VO2峰值25.6% (7.12 ± 2.27 METs与8.94 ± 2.36 METs对比).
- 在使用HRI估计时,跑步机测试 (TT) 显示了较高的超预测率 (26.6%) 与循环人体工程学 (CE) 相比 (11.9%).
结论:
- 测量VO 2峰和HRI-VO 2峰显示强烈的一致性,验证HRI作为一个准确的替代品.
- 目前以运动为基础的估计VO2峰值的方程大大高估计了实际值.
- 建议使用HRI和/或健身注册表和运动重要性国家数据库 (FRIEND) 注册表方程,以更精确地估计VO 2峰值.
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