Department of Nutrition, Nursing School, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Department of Medical Clinic, Medicine School, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
J Hum Nutr Diet. 2018 Apr;31(2):266-275. doi: 10.1111/jhn.12498. Epub 2017 Aug 8.
Predictive equations are the main clinical tools for determining resting energy expenditure (REE). However, their adequate use in overweight and obese individuals is unclear. Thus, we investigated the best predictive equations for estimating REE in overweight and obese women with polycystic ovary syndrome (PCOS).
Eleven analyses were performed with prediction equations (pREE) based on anthropometric parameters in 30 overweight or obese women with PCOS without other chronic diseases. The measured REE (mREE) was calculated by indirect calorimetry. The validity of the equations was investigated by comparison, accuracy and agreement tests between pREE and mREE at both the individual and group level.
Four analyses were similar to those of mREE, and smallest mean differences were observed for the World Health Organization/Food and Agriculture Organization of the United Nations/United Nations University (WHO/FAO/UNU) considering weight (W) [0.07 (1.13) MJ (16 [270] kcal)]. Individual accuracy was greater than 50% for Harris and Benedict, Müller and Lazzer equations. The percentage of REE underestimation ranged between 16.7% and 73.3%, whereas higher rates of overestimation were observed in the De Luis (66.7%) and Ireton-Jones (43.3%) equations. Mean bias at the group level was lowest in the WHO/FAO/UNU W and WHO/FAO/UNU considering weight and height (WH), Müller and Lazzer equations (-2.8 to 0.5). The WHO/FAO/UNU W and WHO/FAO/UNU WH formulas were optimal in individual agreement (33.3%).
FAO/WHO/UNU W equations may estimate the REE in overweight and obese women with PCOS. However, the low individual accuracy and agreement in relation to mREE suggest caution regarding when to use the formula to perform an individual nutritional plan.
预测方程是确定静息能量消耗（REE）的主要临床工具。然而，它们在超重和肥胖个体中的适当应用尚不清楚。因此，我们研究了最佳的预测方程，以估计超重和肥胖多囊卵巢综合征（PCOS）女性的 REE。
对 30 名无其他慢性疾病的超重或肥胖 PCOS 女性进行了 11 项基于人体测量参数的预测方程（pREE）分析。通过间接热量法计算实测 REE（mREE）。通过个体和组水平的 pREE 与 mREE 之间的比较、准确性和一致性检验，研究了方程的有效性。
有 4 项分析与 mREE 相似，而世界卫生组织/联合国粮食及农业组织/联合国大学（WHO/FAO/UNU）考虑体重（W）的公式（WHO/FAO/UNU）差异最小[0.07（1.13）MJ（16 [270] kcal）]。哈里斯-本尼迪克特（Harris and Benedict）、穆勒-拉泽尔（Müller and Lazzer）方程的个体准确性大于 50%。REE 低估率在 16.7%至 73.3%之间，而德路易斯（De Luis）和爱尔兰顿-琼斯（Ireton-Jones）方程的高估率较高（分别为 66.7%和 43.3%）。组水平的平均偏差在 WHO/FAO/UNU W 和 WHO/FAO/UNU 考虑体重和身高（WH）、穆勒-拉泽尔（Müller and Lazzer）方程中最低（-2.8 至 0.5）。在个体一致性方面，WHO/FAO/UNU W 和 WHO/FAO/UNU WH 公式是最佳的（33.3%）。
FAO/WHO/UNU W 公式可用于估计超重和肥胖的 PCOS 女性的 REE。然而，与 mREE 相比，个体准确性和一致性较低，提示在制定个体营养计划时要谨慎使用该公式。
