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Predicting resting energy expenditur...
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Lillie, Tia L.
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Predicting resting energy expenditure and estimating energy expenditure during intermittent play in children and adolescents.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Predicting resting energy expenditure and estimating energy expenditure during intermittent play in children and adolescents./
作者:
Lillie, Tia L.
面頁冊數:
77 p.
附註:
Adviser: Patricia A. Eisenman.
Contained By:
Dissertation Abstracts International68-05A.
標題:
Education, Health. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3265848
ISBN:
9780549045212
Predicting resting energy expenditure and estimating energy expenditure during intermittent play in children and adolescents.
Lillie, Tia L.
Predicting resting energy expenditure and estimating energy expenditure during intermittent play in children and adolescents.
- 77 p.
Adviser: Patricia A. Eisenman.
Thesis (Ph.D.)--The University of Utah, 2007.
Sixty volunteers, 6 boys and 6 girls from each of the five stages of sexual maturation, ages ranging from 8 to 16 years, participated in the arm of the study designed to address the primary objective of developing and cross-validating the practical youth-and-sex specific equations for estimating resting energy expenditure (REE). Thirty-two of the 60 participants volunteered to participate in the study's secondary objective of developing a practical equation for predicting the energy expenditure (EE) during Dance, Dance Revolution (DDR), and to determine the appropriate sampling duration period for assessing EE. Variables measured in the REE arm included heart rate, stages of sexual maturation, Fat Free Mass (FFM), height and weight. Correlation analyses were used to determine potential predictor variables of REE Simple regression analyses were used to derive sex-specific equations for predicting REE. For boys and girls, FFM and Body Surface Area (BSA) yielded the highest correlations with REE. The prediction equations determined were: Boys: REE = 18.96 (FFM - kg) + 650.23 & REE = .079 (BSA in cm2) + 238.63. Girls: REE = 17.78 (FFM - kg) + 592.06 & REE = .065 (BSA in cm 2) + 319.25. Cross-validation was performed using Predicted Residual Sum of Squares Root Mean Square Prediction Error (PRESS RMSE). PRESS RMSE values for our equations were less than RMSE values for previously developed REE prediction equations. Oxygen consumption was measured during a 30-minute bout of DDR game playing on the light mode. Results of DDR EE in light mode averaged 107.40 and 109.4 kcals/30 minutes for girls and boys, respectively. Prediction equations for determining EE during DDR game playing on the light mode were: Boys: EE = 3.406 (BSA m2) + -1.444. Girls: EE = 3.055 (BSA m2) + -.871. Neither 10- nor 15-minute sampling intervals were accurate for measuring EE in DDR during a 30-minute bout. The sex-specific prediction equations for REE in children and adolescents developed in this study may be helpful to practitioners interested in balancing caloric intake and expenditure in children. Likewise, the prediction equations for estimating EE during DDR from BSA should be helpful to clinicians.
ISBN: 9780549045212Subjects--Topical Terms:
1017668
Education, Health.
Predicting resting energy expenditure and estimating energy expenditure during intermittent play in children and adolescents.
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Sixty volunteers, 6 boys and 6 girls from each of the five stages of sexual maturation, ages ranging from 8 to 16 years, participated in the arm of the study designed to address the primary objective of developing and cross-validating the practical youth-and-sex specific equations for estimating resting energy expenditure (REE). Thirty-two of the 60 participants volunteered to participate in the study's secondary objective of developing a practical equation for predicting the energy expenditure (EE) during Dance, Dance Revolution (DDR), and to determine the appropriate sampling duration period for assessing EE. Variables measured in the REE arm included heart rate, stages of sexual maturation, Fat Free Mass (FFM), height and weight. Correlation analyses were used to determine potential predictor variables of REE Simple regression analyses were used to derive sex-specific equations for predicting REE. For boys and girls, FFM and Body Surface Area (BSA) yielded the highest correlations with REE. The prediction equations determined were: Boys: REE = 18.96 (FFM - kg) + 650.23 & REE = .079 (BSA in cm2) + 238.63. Girls: REE = 17.78 (FFM - kg) + 592.06 & REE = .065 (BSA in cm 2) + 319.25. Cross-validation was performed using Predicted Residual Sum of Squares Root Mean Square Prediction Error (PRESS RMSE). PRESS RMSE values for our equations were less than RMSE values for previously developed REE prediction equations. Oxygen consumption was measured during a 30-minute bout of DDR game playing on the light mode. Results of DDR EE in light mode averaged 107.40 and 109.4 kcals/30 minutes for girls and boys, respectively. Prediction equations for determining EE during DDR game playing on the light mode were: Boys: EE = 3.406 (BSA m2) + -1.444. Girls: EE = 3.055 (BSA m2) + -.871. Neither 10- nor 15-minute sampling intervals were accurate for measuring EE in DDR during a 30-minute bout. The sex-specific prediction equations for REE in children and adolescents developed in this study may be helpful to practitioners interested in balancing caloric intake and expenditure in children. Likewise, the prediction equations for estimating EE during DDR from BSA should be helpful to clinicians.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3265848
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