...
首页> 外文期刊>Journal of the Korean Society of Food Science and Nutrition >Correlation between Measured Resting Energy Expenditure and Predicted Basal Energy Expenditure in Female College Students
【24h】

Correlation between Measured Resting Energy Expenditure and Predicted Basal Energy Expenditure in Female College Students

机译:女大学生测得的静息能量消耗与基础能量消耗的预测之间的相关性

获取原文
获取原文并翻译 | 示例
           

摘要

The aim of this study was to confirm the validity of predictive equations for the calculation of basal energy expenditure (BEE). One hundred twenty female college students were participated in this study. The resting energy expenditure (REE) was measured by indirect calorimetry for 30 minutes following an 12 hour overnight fasting. Among the available equations for predict BEE, Harris-Benedict, WHO/FAO/UNU and Cunningham methods were selected. Body composition was estimated by bioelectrical impedanceanalysis (BIA) for the equation of predicted BEE. The mean of measured REE was 1257.2 ± 147.9 kcal/day, while the predicted values by Harris-Benedict, WHO/FAO/UNU and Cunningham were 1373.3 + 45.4 kcal/day, 1290.0 + 61.7 kcal/day and 1187.6 + 49.2 kcal/day, respectively. The Cunningham equation was more closed to measured values than Harris-Benedict and WHO/FAO/UNU equation by the correlation coefficient. Comparing Pearson's correlation coefficients, fat-free mass (FFM), body surface area (BSA) and body weight were higher than others such as height, body mass index (BMI), fat and fat%. The FFM's correlation coefficient was the highest as 0.74. Thus, the conclusion of this study suggested that the main determinant of BEE was FFM, and we derived a prediction equation as follows: BEE=-569.86+ 48.27 (FFM).
机译:这项研究的目的是确认预测方程对基础能量消耗(BEE)的计算的有效性。一百二十名女大学生参加了这项研究。禁食12小时后,通过间接量热法测量30分钟的静止能量消耗(REE)。在用于预测BEE的可用方程式中,选择了Harris-Benedict,WHO / FAO / UNU和Cunningham方法。通过生物电阻抗分析(BIA)估算人体成分,以预测BEE方程。测得的REE平均值为1257.2±147.9 kcal /天,而Harris-Benedict,WHO / FAO / UNU和Cunningham的预测值为1373.3 + 45.4 kcal /天,1290.0 + 61.7 kcal /天和1187.6 + 49.2 kcal /天, 分别。通过相关系数,与哈里斯-本尼迪克特和​​WHO / FAO / UNU方程相比,Cunningham方程更接近测量值。比较皮尔逊相关系数,无脂肪质量(FFM),体表面积(BSA)和体重均高于其他人,例如身高,体重指数(BMI),脂肪和脂肪%。 FFM的相关系数最高,为0.74。因此,本研究的结论表明,BEE的主要决定因素是FFM,我们得出了如下预测方程:BEE = -569.86 + 48.27(FFM)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号