A study of the 200-metre fast walk test as a possible new assessment tool to predict maximal heart rate and define target heart rate for exercise training of coronary heart disease patients
A study of the 200-metre fast walk test as a possible new assessment tool to predict maximal heart rate and define target heart rate for exercise training of coronary heart disease patients
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DOI：
10.1177/0269215514540922
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发表时间：
2015-02-01
影响因子：
3
通讯作者：
Benaim, Charles
中科院分区：
文献类型：
--
作者：
Casillas, Jean-Marie;Joussain, Charles;Benaim, Charles
目的：建立一种基于两种不同速度步行试验的最大心率预测模型在心脏康复过程中，用舒适和快速步行作为心肺运动试验的替代方法。设计：临床评估工具的评价。设置：法国心脏康复部门。受试者：共有148名患者（133名男性），平均年龄为59 9岁，在门诊心脏康复计划结束时。患者依次进行6分钟步行试验、200米快速步行试验（200 mFWT）和心肺运动试验，并在每次试验结束时测量心率。一个所有可能的回归程序被用来确定最大心率的最佳预测回归模型。最好的模型进行了比较与福克斯方程的预测误差的最大心率使用配对t-test.Results：两个步行试验的结果显着相关的最大心率在心肺运动试验中确定的，而人体测量参数和静息心率没有。具有最可接受平均误差的简化预测模型为：最大心率= 130 - 0.6 x年龄+ 0.3 x HR 200 mFWT（R-2 = 0.24）。该模型上级Fox公式（R-2 = 0.138）。由实测储备心率计算的训练目标心率与用此预测模型建立的训练目标心率之间的相关性有统计学意义（r = 0.528，p < 10（-6））。结论：结合简单快速步行试验中实测心率和年龄的公式比仅包括年龄的公式更能有效地预测最大心率和训练目标心率。
Objective: To develop a new predictive model of maximal heart rate based on two walking tests at different speeds (comfortable and brisk walking) as an alternative to a cardiopulmonary exercise test during cardiac rehabilitation.Design: Evaluation of a clinical assessment tool.Setting: A Cardiac Rehabilitation Department in France.Subjects: A total of 148 patients (133 men), mean age of 59 9 years, at the end of an outpatient cardiac rehabilitation programme.Main measures: Patients successively performed a 6-minute walk test, a 200 m fast-walk test (200mFWT), and a cardiopulmonary exercise test, with measure of heart rate at the end of each test. An all-possible regression procedure was used to determine the best predictive regression models of maximal heart rate. The best model was compared with the Fox equation in term of predictive error of maximal heart rate using the paired t-test.Results: Results of the two walking tests correlated significantly with maximal heart rate determined during the cardiopulmonary exercise test, whereas anthropometric parameters and resting heart rate did not. The simplified predictive model with the most acceptable mean error was: maximal heart rate = 130 - 0.6 x age + 0.3 x HR200mFWT (R-2 = 0.24). This model was superior to the Fox formula (R-2 = 0.138). The relationship between training target heart rate calculated from measured reserve heart rate and that established using this predictive model was statistically significant (r = 0.528, p < 10(-6)).Conclusions: A formula combining heart rate measured during a safe simple fast walk test and age is more efficient than an equation only including age to predict maximal heart rate and training target heart rate.