Korean Journal of Community Nutrition (대한지역사회영양학회지)

The Korean Society of Community Nutrition (대한지역사회영양학회)
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Accuracy of Accelerometer for the Prediction of Energy Expenditure and Activity Intensity in Athletic Elementary School Children During Selected Activities

초등학교 운동선수를 대상으로 대표 신체활동의 에너지 소비량 및 활동 강도 추정을 위한 가속도계의 정확도 검증

  • Choi, Su-Ji (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • An, Hae-Sun (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • Lee, Mo-Ran (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • Lee, Jung-Sook (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • Kim, Eun-Kyung (Department of Food and Nutrition, Gangneung-Wonju National University)
  • 최수지 (강릉원주대학교 식품영양학과) ;
  • 안해선 (강릉원주대학교 식품영양학과) ;
  • 이모란 (강릉원주대학교 식품영양학과) ;
  • 이정숙 (강릉원주대학교 식품영양학과) ;
  • 김은경 (강릉원주대학교 식품영양학과)
  • Received : 2017.08.24
  • Accepted : 2017.10.13
  • Published : 2017.10.31
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Abstract

Objectives: Accurate assessment of energy expenditure is important for estimation of energy requirements in athletic children. The objective of this study was to evaluate the accuracy of accelerometer for prediction of selected activities' energy expenditure and intensity in athletic elementary school children. Methods: The present study involved 31 soccer players (16 males and 15 females) from an elementary school (9-12 years). During the measurements, children performed eight selected activities while simultaneously wearing the accelerometer and carrying the portable indirect calorimeter. Five equations (Freedson/Trost, Treuth, Pate, Puyau, Mattocks) were assessed for the prediction of energy expenditure from accelerometer counts, while Evenson equation was added for prediction of activity intensity, making six equations in total. The accuracy of accelerometer for energy prediction was assessed by comparing measured and predicted values, using the paired t-test. The intensity classification accuracy was evaluated with kappa statistics and ROC-Curve. Results: For activities of lying down, television viewing and reading, Freedson/Trost, Treuth were accurate in predicting energy expenditure. Regarding Pate, it was accurate for vacuuming and slow treadmill walking energy prediction. Mattocks was accurate in treadmill running activities. Concerning activity intensity classification accuracy, Pate (kappa=0.72) had the best performance across the four intensities (sedentary, light, moderate, vigorous). In case of the sedentary activities, all equations had a good prediction accuracy, while with light activities and Vigorous activities, Pate had an excellent accuracy (ROC-AUC=0.91, 0.94). For Moderate activities, all equations showed a poor performance. Conclusions: In conclusion, none of the assessed equations was accurate in predicting energy expenditure across all assessed activities in athletic children. For activity intensity classification, Pate had the best prediction accuracy.

Keywords

References

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