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. 2016:2016:8465976.
doi: 10.1155/2016/8465976. Epub 2016 Jul 14.

Energetic Assessment of the Nonexercise Activities under Free-Living Conditions

Affiliations

Energetic Assessment of the Nonexercise Activities under Free-Living Conditions

Shijie Sun et al. Biomed Res Int. 2016.

Abstract

Nonexercise activities (NAs) are common types of physical activity in daily life and critical component in energy expenditure. However, energetic assessment of NA, particularly in free-living subjects, is a technical challenge. In this study, mechanical modeling and portable device were used to evaluate five common types of NA in daily life: sit to stand, lie to sit, bowing while standing, squat, and right leg over left. A human indirect calorimeter was used to measure the activity energy expenditure of NA. Mechanical work and mechanical efficiency of NA were calculated for mechanical modeling. Thirty-two male subjects were recruited for the study (20 subjects for the development of models and 12 subjects for evaluation of models). The average (mean ± SD) mechanical work of 5 NAs was 2.31 ± 0.50, 2.88 ± 0.57, 1.75 ± 0.55, 3.96 ± 1.25, and 1.25 ± 0.51 J/kg·m, respectively. The mean mechanical efficiencies of those activities were 22.0 ± 3.3%, 26.5 ± 5.1%, 19.8 ± 3.7%, 24.0 ± 5.5%, and 26.3 ± 5.5%. The activity energy expenditure estimated by the models was not significantly different from the measurements by the calorimeter (p > 0.05) with accuracies of 102.2 ± 20.7%, 103.7 ± 25.8%, 105.6 ± 14.6%, 101.1 ± 28.0%, and 95.8 ± 20.7%, respectively, for those activities. These findings suggest that the mechanical models combined with a portable device can provide an alternative method for the energetic analysis of nonexercise activities under free-living condition.

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Figures

Figure 1
Figure 1
Link segment Models A and B showing limb angles, torques, and limb length variables (small triangles indicate centers of gravity).
Figure 2
Figure 2
Evaluation of the performance of gyroscopes by comparing integrated inclination data on the thigh with motion analysis system.
Figure 3
Figure 3
Energy expenditure and mechanical work curve of one subject in experimental protocol.
Figure 4
Figure 4
Predicted AEE versus measured AEE. The symbols represent different types of PA in 12 subjects. The dotted line is the line of identity.

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