作者: CINDY A. DORMINY , LEENA CHOI , SYLVIE A. AKOHOUE , KONG Y. CHEN , MACIEJ S. BUCHOWSKI
DOI: 10.1249/MSS.0B013E318161EA8F
关键词:
摘要: Physical activity (PA) and energy expenditure (EE) in children are frequently assessed using portable monitors. Algorithms used to predict EE by these monitors often based on adult populations may not be accurate for children. Purpose: To evaluate the accuracy of SenseWear Pro Armband (SWA) assessing African American during treadmill exercise, sedentary activities, rest, sleep, total 24-h EE, indirect room calorimetry (IRC) as a reference standard. Methods: Participants were healthy (10 boys, 11 girls; age: 11.6 +/- 0.9 yr; weight: 47.3 13.0 kg; height: 151.6 8.8 cm; BMI: 20.4 4.8 kg[middle dot]m-2). was measured simultaneously IRC SWA stay IRC. Recorded activities included behaviors, rest periods, sleep. Results from both methods matched minute-by-minute compared Bland-Altman plot. Multiple linear regression analysis describe relationship between children's descriptive characteristics. Results: overestimated with all time ranging 116% sleep 143% after exercise. The SWA-predicted improved modeling. Simple equations exercise [kcal[middle dot]min-1] = 0.462EE + 0.015 x body weight [kg], 0.637EE 0.034 respectively. prediction equation RMR 0.453EE 0.011 [kg]. Conclusion: estimated significantly higher than ages 10-14 yr. Bias individual could an adjustment child. manufacturer should work researchers improving existing algorithms children.