Department of Physical Education and Sport, School of Physical Activity and Sport Sciences, University of Granada, Granada, Spain.
PLoS One. 2011;6(9):e23759. doi: 10.1371/journal.pone.0023759. Epub 2011 Sep 6.
We investigated the validity of REE predictive equations before and after 12-week energy-restricted diet intervention in Spanish obese (30 kg/m(2)>BMI<40 kg/m(2)) women.
We measured REE (indirect calorimetry), body weight, height, and fat mass (FM) and fat free mass (FFM, dual X-ray absorptiometry) in 86 obese Caucasian premenopausal women aged 36.7±7.2 y, before and after (n = 78 women) the intervention. We investigated the accuracy of ten REE predictive equations using weight, height, age, FFM and FM.
At baseline, the most accurate equation was the Mifflin et al. (Am J Clin Nutr 1990; 51: 241-247) when using weight (bias:-0.2%, P = 0.982), 74% of accurate predictions. This level of accuracy was not reached after the diet intervention (24% accurate prediction). After the intervention, the lowest bias was found with the Owen et al. (Am J Clin Nutr 1986; 44: 1-19) equation when using weight (bias:-1.7%, P = 0.044), 81% accurate prediction, yet it provided 53% accurate predictions at baseline.
There is a wide variation in the accuracy of REE predictive equations before and after weight loss in non-morbid obese women. The results acquire especial relevance in the context of the challenging weight regain phenomenon for the overweight/obese population.
我们研究了能量限制饮食干预前后 REE 预测方程在西班牙肥胖（BMI>30kg/m(2)且<40kg/m(2)）女性中的有效性。
我们在 86 名肥胖的白种绝经前妇女（年龄 36.7±7.2 岁）进行能量限制饮食干预前后（n=78 名妇女），分别测量 REE（间接热量测定法）、体重、身高、体脂肪量（FFM，双能 X 线吸收法）和去脂肪量（FFM）。我们用体重、身高、年龄、FFM 和 FM 来评估十种 REE 预测方程的准确性。
在基线时，使用体重的 Mifflin 等（Am J Clin Nutr 1990; 51: 241-247）方程最准确（偏差：-0.2%，P=0.982），预测准确率为 74%。这种准确性在饮食干预后并未达到（准确预测率为 24%）。干预后，使用体重的 Owen 等（Am J Clin Nutr 1986; 44: 1-19）方程偏差最低（-1.7%，P=0.044），预测准确率为 81%，但在基线时的预测准确率为 53%。
在非病态肥胖女性体重减轻前后，REE 预测方程的准确性存在很大差异。这些结果在超重/肥胖人群面临体重反弹的挑战性问题时具有特殊意义。
