Department of Medicine, Dartmouth-Hitchcock, Lebanon, New Hampshire, USA.
Arts and Science, Dartmouth College, Hanover, New Hampshire, USA.
J Nutr Gerontol Geriatr. 2022 Apr-Jun;41(2):126-139. doi: 10.1080/21551197.2022.2070320. Epub 2022 May 3.
It is unclear which energy expenditure prediction equation should guide weight loss interventions in older adults with obesity. We ascertained the validity of four equations commonly used in practice in a series of weight loss studies of adults aged ≥65 with a body mass index ≥30kg/m using indirect calorimetry data. Diagnostic accuracy was defined as <10% discrepancy between predicted and measured resting metabolic rate (RMR). Mean was 73.4 years. RMR using the ReeVue was 1,643 kCal. With 59.0% accuracy, the WHO equation demonstrated the highest accuracy while the Harris-Benedict yielded 53.5% accuracy. The Owens equation demonstrated the least variability (21.5% overprediction, 27.8% underprediction) with 50.7% accuracy. A SECA bioimpedance analyzer noted the second lowest accuracy of 49.6%. Only 43.1% of measurements were within 10% of the gold-standard indirect calorimetry value using the Mifflin equation. All equations demonstrated <60% accuracy suggesting a great need for estimating energy needs.
对于肥胖的老年人，哪种能量消耗预测方程应该指导减肥干预尚不清楚。我们使用间接测热法数据，对一系列年龄≥65 岁、体重指数≥30kg/m²的成年人减肥研究中常用的四种方程进行了验证。诊断准确性定义为预测静息代谢率（RMR）与实测值之间的差异<10%。平均年龄为 73.4 岁。ReeVue 法的 RMR 为 1643kCal。WHO 方程的准确性最高（59.0%），而 Harris-Benedict 方程的准确性最低（53.5%）。Owens 方程的变异性最小（21.5%高估，27.8%低估），准确性为 50.7%。SECA 生物阻抗分析仪的准确性排名第二，为 49.6%。使用 Mifflin 方程，只有 43.1%的测量值与间接测热法的金标准值相差<10%。所有方程的准确性均<60%，这表明非常有必要估计能量需求。
