THE USE OF HEART-RATE MONITORING IN THE ESTIMATION OF ENERGY-EXPENDITURE - A VALIDATION-STUDY USING INDIRECT WHOLE-BODY CALORIMETRY
THE USE OF HEART-RATE MONITORING IN THE ESTIMATION OF ENERGY-EXPENDITURE - A VALIDATION-STUDY USING INDIRECT WHOLE-BODY CALORIMETRY
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DOI：
10.1079/bjn19890107
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发表时间：
1989-03-01
影响因子：
3.6
通讯作者：
SPURR, GB
中科院分区：
文献类型：
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作者：
CEESAY, SM;PRENTICE, AM;SPURR, GB
一种用于预测总能量消耗（TEE）的改良心率（HR）方法与全身量热法（CAL）进行了交叉验证。当HR超过预定的“FLEX”值时，使用个体校准曲线将每分钟的HR转换为能量消耗（EE），该值旨在区分活动期。（“FLEX”HR定义为休息期间最高HR和最轻强度运动期间最低HR的平均值）。久坐EE（低于FLEX）计算为躺下、坐着和静止站立时的平均EE。根据标准方程预测的基础代谢率（BMR）计算睡眠EE。获得了20名健康受试者（11名男性，9名女性）在休息和运动期间不同姿势的耗氧量与HR的校准曲线;平均r 0.941（SD 0.04）。男性和女性的平均FLEX HR分别为86（SD 10）和96（SD 6）次/min。在21小时连续CAL期间同时测量HR和EE，其中包括4 × 10 - 4次CAL。30强制运动（骑自行车，划船，踏步，慢跑）。HR超过FLEX平均98（SD 41）分钟。通过CAL（TEE . CAL）为8063（SD 1445）kJ。HR方法在TEE（TEE. HR）为1.2（SD 6.2%）（范围-11.4至+10.6%）。TEE的回归。HR（Y）v. TEE。CAL（X）得出Y = 0.868 X + 927 kJ，r-0.943，SE估计值458 kJ，n 20。令人满意的预测能力和低成本的方法，使其适用于许多领域和流行病学的应用。
A modified heart rate (HR) method for predicting total energy expenditure (TEE) was cross-validated against whole-body calorimetry (CAL). Minute-by minute HR was converted to energy expenditure (EE) using individual calibration curves when HR exceeded a pre-determined ''FLEX'' value designed to discriminate periods of activity. (''FLEX'' HR was defined as the mean of the highest HR during rest and the lowest HR during the lightest imposed exercise). Sedentary EE (below FLEX) was calculated as the mean EE during lying down, sitting and standing at rest. Sleeping EE was calculated as basal metabolic rate (BMR) predicted from standard equations. Calibration curves of oxygen consumption v. HR for different postures at rest and during exercise were obtained for twenty healthy subjects (eleven male, nine female); mean r 0.941 (SD 0.04). The mean FLEX HR for men and women were 86 (SD 10) and 96 (SD 6) beats/min respectively. Simultaneous measurements of HR and EE were made during 21 h continuous CAL, which included 4 .times. 30 imposed exercise (cycling, rowing, stepping, jogging). HR exceeded FLEX for a mean of 98 (SD 41) min. Mean TEE by CAL (TEE . CAL) was 8063 (SD 1445) kJ. The HR method yielded a mean non-significant underestimate in TEE (TEE. HR) of 1.2 (SD 6.2%) (range -11.4 to +10.6%). Regression of TEE.HR (Y) v. TEE . CAL (X) yielded Y = 0.868 X + 927 kJ, r -0.943, SE of the estimate 458 kJ, n 20. The satisfactory predictive power and low cost of the method makes it suitable for many field and epidemiological applications.