Owen O E, Kavle E, Owen R S, Polansky M, Caprio S, Mozzoli M A, Kendrick Z V, Bushman M C, Boden G
Am J Clin Nutr. 1986 Jul;44(1):1-19. doi: 10.1093/ajcn/44.1.1.
The caloric expenditure of 44 healthy, lean and obese women, 8 of whom were trained athletes, was measured by indirect calorimetry. Body composition was determined. Ages ranged from 18-65 yr and body weights from 43-143 kg. Stepwise, multiple-regression analysis was used to determine whether one or several variables best predicted the resting metabolic rate (RMR) of the women. The RMR and the thermic effect of food (TEF) were measured before and after the women consumed a mixed breakfast meal. The results showed that the currently available tables and regression equations overestimate the RMR of healthy women by 7-14%. Body weight was highly related to the RMR, and stepwise inclusions of various variables did not improve predictions of RMR. The slopes of the regression lines for nonathletes and athletes were significantly different. Regression equations for predicting RMR of women were developed: Nonathletes RMR = 795 + 7.18 kg WT; Athletes RMR = 50.4 + 21.1 kg WT. The range of RMR per kilogram body weight was wide for nonathletic, but narrow for athletic women. The metabolism of some lean and obese, nonathletic women was highly efficient, predisposing these women for developing and maintaining body fat. The TEFs were indistinguishable between nonathletic and athletic women, and formed a continuum from the lightest to the heaviest woman.
对44名健康、体重正常及肥胖的女性（其中8名是受过训练的运动员）的热量消耗进行了间接测热法测量。测定了身体成分。年龄范围为18 - 65岁，体重为43 - 143千克。采用逐步多元回归分析来确定一个或几个变量是否能最佳预测这些女性的静息代谢率（RMR）。在这些女性食用混合早餐前后测量了RMR和食物热效应（TEF）。结果表明，目前可用的表格和回归方程高估健康女性的RMR达7 - 14%。体重与RMR高度相关，逐步纳入各种变量并未改善对RMR的预测。非运动员和运动员的回归线斜率显著不同。建立了预测女性RMR的回归方程：非运动员RMR = 795 + 7.18×体重（千克）；运动员RMR = 50.4 + 21.1×体重（千克）。非运动员每千克体重的RMR范围较宽，而运动员女性的范围较窄。一些体重正常及肥胖的非运动员女性的新陈代谢效率很高，这使这些女性易于发胖并维持体重。非运动员和运动员女性的TEF没有差异，且从最轻到最重的女性形成一个连续体。
