Table 1.
Contribution of sedentary life, aerobic and strength training to daily energy expenditure during exercise, between exercise sessions, and after long-term participation in training.
Table 2.
Descriptive statistics of the subjects, and their adherence to wearing the motion sensor.
Fig 1.
Seven days of physical activity intensity measured by the wearable sensors from one subject.
Solid black line shows data measured by the motion sensor 24/7, and solid red line is data from heart rate monitor during four weekly bicycle ergometer and strength exercise sessions. Dashed green line marks time-out-of-bed and time-in-bed.
Fig 2.
Wearable sensors data explain significant portion of the between-subject changes in DLW-assessed total energy expenditure.
(A) Regression plot for DLW and Motion Sensor assessed Total Energy Expenditure (TEEDLW and TEEMS). Open dots from the Control period (N = 15), closed dots from the Training period (N = 13). (B) Corresponding plot when the motion sensor data is replaced by heart rate monitor data during exercise sessions (TEEMS+HRM). In A and B, resting energy expenditure was estimated using body weight and age [35].
Table 3.
Regression and Bland-Altman agreement analysis of daily energy expenditure outputs of doubly labeled water and the wearable sensors.
Results presented for the Control and Training periods.
Table 4.
Training-induced change in daily energy expenditure (Mean±SD); comparison between control and training periods (n = 13).
Table 5.
Daily accumulated time (h:mm, mean±SD) at different intensities of physical activity as detected by wearable devices during the control and training periods, and their corresponding change.