Research Center in Sports Sciences, Health Sciences & Human Development, CIDESD, Vila Real, Portugal.
University of Trás-os-Montes & Alto Douro, Vila Real, Portugal.
PLoS One. 2019 Aug 22;14(8):e0221284. doi: 10.1371/journal.pone.0221284. eCollection 2019.
The aim of the present study was to assess the accuracy of heart rate to estimate energy cost during eight resistance exercises performed at low intensities: half squat, 45° inclined leg press, leg extension, horizontal bench press, 45° inclined bench press, lat pull down, triceps extension and biceps curl. 56 males (27.5 ± 4.9 years, 1.78 ± 0.06 m height, 78.67 ± 10.7 kg body mass and 11.4 ± 4.1% estimated body fat) were randomly divided into four groups of 14 subjects each. Two exercises were randomly assigned to each group and subjects performed four bouts of 4-min constant-intensity at each assigned exercise: 12%, 16%, 20% and 24% 1-RM. Exercise and intensity order were random. Each subject performed no more than 2 bouts in the same testing session. A minimum recovery of 24h was kept between sessions. During testing VO2 was measured with Cosmed K4b2 and heart rate was measured with Polar V800 monitor. Energy cost was calculated from mean VO2 during the last 30-s of each bout by using the energy equivalent 1 ml O2 = 5 calorie. Linear regressions with heart rate as predictor and energy cost as dependent variable were build using mean data from all subjects. Robustness of the regression lines was given by the scatter around the regression line (Sy.x) and Bland-Altman plots confirmed the agreement between measured and estimated energy costs. Significance level was set at p≤0.05. The regressions between heart rate and energy cost in the eight exercises were significant (p<0.01) and robustness was: half squat (Sy.x = 0,48 kcal·min-1), 45° inclined leg press (Sy.x = 0,54 kcal·min-1), leg extension (Sy.x = 0,59 kcal·min-1), horizontal bench press (Sy.x = 0,47 kcal·min-1), 45° inclined bench press (Sy.x = 0,54 kcal·min-1), lat pull down (Sy.x = 0,28 kcal·min-1), triceps extension (Sy.x = 0,08 kcal·min-1) and biceps curl (Sy.x = 0,13 kcal·min-1). We conclude that during low-intensity resistance exercises it is possible to estimate aerobic energy cost by wearable heart rate monitors with errors below 10% in healthy young trained males.
本研究旨在评估在低强度下进行的八项阻力运动中，心率估计能量消耗的准确性：半蹲、45°斜蹬、腿伸展、卧推、45°斜卧推、下拉、三头肌伸展和二头肌弯举。56 名男性（27.5±4.9 岁，1.78±0.06m 身高，78.67±10.7kg 体重，11.4±4.1%估计体脂）被随机分为四组，每组 14 人。每组随机分配两项运动，受试者在每项指定运动中进行四组 4 分钟的恒强度运动：12%、16%、20%和 24%1-RM。运动和强度顺序是随机的。每个受试者在同一次测试中不超过进行 2 次运动。每次测试之间至少保持 24 小时的恢复时间。测试过程中，使用 Cosmed K4b2 测量 VO2，使用 Polar V800 监测器测量心率。通过使用能量等价物 1 毫升 O2=5 卡路里，从每个回合的最后 30 秒的平均 VO2 计算能量消耗。使用所有受试者的平均数据建立心率作为预测因子和能量消耗作为因变量的线性回归。通过回归线周围的散点（Sy.x）给出回归线的稳健性，Bland-Altman 图确认了测量和估计能量消耗之间的一致性。显著性水平设为 p≤0.05。八项运动中心率与能量消耗的回归均具有统计学意义（p<0.01），稳健性分别为：半蹲（Sy.x=0.48 千卡·分钟-1）、45°斜蹬（Sy.x=0.54 千卡·分钟-1）、腿伸展（Sy.x=0.59 千卡·分钟-1）、卧推（Sy.x=0.47 千卡·分钟-1）、45°斜卧推（Sy.x=0.54 千卡·分钟-1）、下拉（Sy.x=0.28 千卡·分钟-1）、三头肌伸展（Sy.x=0.08 千卡·分钟-1）和二头肌弯举（Sy.x=0.13 千卡·分钟-1）。我们得出结论，在低强度阻力运动中，使用可穿戴心率监测器可以估计健康年轻训练男性的有氧能量消耗，误差低于 10%。
