A NEW PREDICTIVE EQUATION FOR RESTING ENERGY-EXPENDITURE IN HEALTHY-INDIVIDUALS
A NEW PREDICTIVE EQUATION FOR RESTING ENERGY-EXPENDITURE IN HEALTHY-INDIVIDUALS
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DOI：
10.1093/ajcn/51.2.241
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发表时间：
1990-02-01
影响因子：
7.1
通讯作者：
KOH, YO
中科院分区：
文献类型：
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作者：
MIFFLIN, MD;STJEOR, ST;KOH, YO
静息能量消耗 (REE) 的预测方程源自 498 名健康受试者的数据，其中包括女性 (n = 247) 和男性 (n = 251)，年龄为 19-78 岁（45 .+-. 14 岁，.hivin.x .+-. SD）。对正常体重 (n = 264) 和肥胖 (n = 234) 的个体进行了研究，并通过间接量热法测量了 REE。采用多元回归分析得出男性和女性的 REE 与体重、身高和年龄之间的关系 (R2 = 0.71)：REE = 9.99 ×。重量+6.25倍高度 - 4.92 倍。年龄+166.次性别（男性，1；女性，0）-161。该公式的简化和按性别的分离并没有影响其预测值：REE（男性）= 10×。重量（公斤）+ 6.25 倍。高度(cm)-5×年龄（岁）+ 5； REE（女性）= 10 倍。重量（公斤）+ 6.25 倍。高度(cm)-5×年龄（岁）-161。相对体重和体重分布的纳入并没有显着提高这些方程的预测价值。 1919 年推导出的 Harris-Benedict 方程高估了实测 REE 5% (p < 0.01)。无脂肪质量 (FFM) 是 REE 的最佳单一预测因子 (R2 = 0.64)：REE = 19.7 ×。 FFM + 413。重量也与 REE 密切相关（R2 = 0.56）：REE = 15.1 ×。重量+371。
A predictive equation for resting energy expenditure (REE) was derived from data from 498 healthy subjects, including females (n = 247) and males (n = 251), aged 19-78 y (45 .+-. 14 y, .hivin.x .+-. SD). Normal-weight (n = 264) and obese (n = 234) individuals were studied and REE was measured by indirect calorimetry. Multiple-regression analyses were employed to derive relationships between REE and weight, height, and age for both men and women (R2 = 0.71): REE = 9.99 .times. weight + 6.25 .times. height - 4.92 .times. age + 166 .times. sex (males, 1; females, 0) -161. Simplification of this formula and separation by sex did not affect its predictive value: REE (males) = 10 .times. weight (kg) + 6.25 .times. height (cm) -5 .times. age (y) + 5; REE (females) = 10 .times. weight (kg) + 6.25 .times. height (cm) -5 .times. age (y) -161. The inclusion of relative body weight and body-weight distribution did not significantly improve the predictive value of these equations. The Harris-Benedict Equations derived in 1919 overestimated measured REE by 5% (p < 0.01). Fat-free mass (FFM) was the best single predictor of REE (R2 = 0.64): REE = 19.7 .times. FFM + 413. Weight also was closely correlated with REE (R2 = 0.56): REE = 15.1 .times. weight + 371.