Bader Nicolle, Bosy-Westphal Anja, Dilba Britta, Müller Manfred J
Insititut für Humanernährung und Lebensmittelkunde der Christian-Albrechts-Universität zu Kiel, Germany.
Br J Nutr. 2005 Nov;94(5):843-9. doi: 10.1079/bjn20051551.
The objective of the present study was to investigate the contribution of intra-individual variance of resting energy expenditure (REE) to interindividual variance in REE. REE was measured longitudinally in a sample of twenty-three healthy men using indirect calorimetry. Over a period of 2 months, two consecutive measurements were done in the whole group. In subgroups of seventeen and eleven subjects, three and four consecutive measurements were performed over a period of 6 months. Data analysis followed a standard protocol considering the last 15 min of each measurement period and alternatively an optimised protocol with strict inclusion criteria. Intra-individual variance in REE and body composition measurements (CV(intra)) as well as interindividual variance (CV(inter)) were calculated and compared with each other as well as with REE prediction from a population-specific formula. Mean CV(intra) for measured REE and fat-free mass (FFM) ranged from 5.0 to 5.6 % and from 1.3 to 1.6 %, respectively. CV(intra) did not change with the number of repeated measurements or the type of protocol (standard v. optimised protocol). CV(inter) for REE and REE adjusted for FFM (REE(adj)) ranged from 12.1 to 16.1 % and from 10.4 to 13.6 %, respectively. We calculated total error to be 8 %. Variance in body composition (CV(intra) FFM) explains 19 % of the variability in REE(adj), whereas the remaining 81 % is explained by the variability of the metabolic rate (CV(intra) REE). We conclude that CV(intra) of REE measurements was neither influenced by type of protocol for data analysis nor by the number of repeated measurements. About 20 % of the variance in REE(adj) is explained by variance in body composition.
本研究的目的是调查静息能量消耗(REE)的个体内差异对REE个体间差异的影响。使用间接测热法对23名健康男性样本进行了REE的纵向测量。在2个月的时间内,对整个组进行了两次连续测量。在分别为17名和11名受试者的亚组中,在6个月的时间内进行了三次和四次连续测量。数据分析遵循考虑每个测量期最后15分钟的标准方案,以及具有严格纳入标准的优化方案。计算REE和身体成分测量的个体内差异(CV(intra))以及个体间差异(CV(inter)),并相互比较,同时与根据特定人群公式预测的REE进行比较。测量的REE和去脂体重(FFM)的平均CV(intra)分别为5.0%至5.6%和1.3%至1.6%。CV(intra)不会随着重复测量次数或方案类型(标准方案与优化方案)而改变。REE以及根据FFM调整后的REE(REE(adj))的CV(inter)分别为12.1%至16.1%和10.4%至13.6%。我们计算出总误差为8%。身体成分的差异(CV(intra) FFM)解释了REE(adj)变异性的19%,而其余81%由代谢率的变异性(CV(intra) REE)解释。我们得出结论,REE测量的CV(intra)既不受数据分析方案类型的影响,也不受重复测量次数的影响。身体成分的差异解释了REE(adj)约20%的变异性。