Energy expenditure measurement of various physical activity and correlation analysis of body weight and energy expenditure in elementary school children.
10.4163/jnh.2015.48.2.180
- Author:
Jae Hee KIM
1
;
Hee Ryoung SON
;
Jung Sook CHOI
;
Eun Kyung KIM
Author Information
1. Department of Food and Nutrition, Gangneung-Wonju National University, Gangwon 210-702, Korea. ekkim@gwnu.ac.kr
- Publication Type:Original Article
- Keywords:
children;
physical activity;
energy cost;
Metabolic equivalents
- MeSH:
Adult;
Body Weight*;
Cellular Phone;
Child*;
Classification;
Complement System Proteins;
Cytisus;
Energy Metabolism*;
Humans;
Metabolic Equivalent;
Motor Activity*;
Oxygen Consumption;
Running;
Telemetry;
Video Games;
Walking
- From:Journal of Nutrition and Health
2015;48(2):180-191
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: There is a lack of data on the energy cost of children's everyday activities, adult values are often used as surrogates. In addition, the influence of body weight on the energy cost of activity when expressed as metabolic equivalents (METs) has not been vigorously explored. METHODS: In this study 20 elementary school students 9~12 years of age completed 18 various physical activities while energy expenditure was measured continuously using a portable telemetry gas exchange system (K4b2, Cosmed, Rome, Italy). RESULTS: The average age was 10.4 years and the average height and weight was 145.1 cm and 43.6 kg, respectively. Oxygen consumption (VO2), energy expenditure and METs at the time of resting of the subjects were 5.41 mL/kg/min, 1.44 kcal/kg/h, and 1.5 METs, respectively. METs values by 18 physical activities were as follows: Homework and reading books (1.6 METs), playing game with a mobile phone or video while sitting (1.6 METs), watching TV while sitting on a comfortable chair (1.7 METs), playing video game or mobile phone game while standing (1.9 METs), sweeping a room with a broom (2.7 METs) and playing a board game (2.8 METs) belong to light intensity physical activities. By contrary, speedy walking and running were 6.6 and 6.7 METs, respectively, which belong to high intensity physical activities over 6.0 METs. When the effect of body weight on physical activity energy expenditure was determined, R2 values increased with 0.116 (playing a game at sitting), 0.176 (climbing up and down stairs), 0.246 (slow walking), and 0.455 (running), which showed that higher activity intensity increased explanation power of body weight on METs value. CONCLUSION: This study is important for direct evaluation of energy expenditure by physical activities of children, and it could be used directly for revising and complementing the existing activity classification table to fit for children.
