Use of heart rate to predict energy expenditure from low to high activity levels.

摘要: This study evaluated the ability to use relationship between heart rate (HR) and oxygen uptake (VO2 ) estimate energy expenditure (EE) from low high physical activity with different HR-based prediction equations. General equations were established based on individual relations HR EE. Possibilities improve EE estimation using alternatives for respective also assessed. The % of reserve: 100 x [(activity - resting HR)/(maximal HR)], (HRR), difference (activity HR), (HRnet). Forty-two men (age mean 36.5 [sd 7.6] y, BMI 24.5 [2.4] kg m(-2), VO2 max 45.2 [6.5]) ml min(-1) 47 women (mean age 37.5 [9.5], 23.3 [3.4], 36.3 [5.4]) performed an exercise test consisting physically low-activity tasks a maximal treadmill uphill walking test. Respiratory gases obtained indirect calorimetry. was registered by electrocardiography calculated carbon dioxide (VCO2 production. Generalised linear models random effects used values tests (one value at each intensity level) predicted in separate HR, HRR or HRnet values. other predictors all body weight, sex exercise. standard error (SEE) 1.41 kcal (5.89 kJ) model variable as predictor, 1.01 (4.22 variable, 1.08 (4.51 variable. results show that is more accurate if are equation instead HR.