Department of Nutrition and Dietetics, Faculty of Health Sciences, Beirut Arab University, P.O. Box 11-5020 Riad El Solh, Beirut, Lebanon.
Department of Nutrition and Dietetics, Faculty of Health Sciences, Beirut Arab University, P.O. Box 11-5020 Riad El Solh, Beirut, Lebanon.
Clin Nutr ESPEN. 2021 Feb;41:346-350. doi: 10.1016/j.clnesp.2020.11.003. Epub 2020 Nov 18.
BACKGROUND & AIM: An accurate estimation of the body fat percentage (BF%) in patients with obesity is of clinical importance. Therefore, we aim to assess the validity of anthropometric-based BF predictive equations in treatment-seeking patients in an outpatient setting.
BF% was assessed by Tanita MC-780MA bioimpedance (BIA) and considered as a reference method, and anthropometric-based predictive equations were used in BF% estimations among 275 adults of both genders, in the outpatient clinic of the Department of Nutrition and Dietetics at Beirut Arab University (Lebanon). The mean differences between the measured and estimated BF% values were calculated to assess the accuracy of five equations, and the Bland-Altman method was used to assess the level of agreement.
In both males and females, all predictive equations gave significantly different estimates of BF% when compared to those measured by BIA. On the other hand, in both genders, the mean difference between the BF% value estimated by the Jackson equation and that measured using BIA, was not significant, and agreement was confirmed using Bland-Altman plots.
We suggest the Jackson equation for accurate BF% estimation in both genders of patients with obesity in the Lebanese population. However, future studies are still urgently needed to develop and validate new predictive equations suitable for BF% estimations, taking into account ethnicity (i.e., the Arab population).
准确评估肥胖患者的体脂百分比（BF%）具有重要的临床意义。因此，我们旨在评估在门诊环境中，针对寻求治疗的肥胖患者，基于人体测量的 BF 预测方程的有效性。
使用 Tanita MC-780MA 生物阻抗法（BIA）评估 BF%，并将其视为参考方法，同时在贝鲁特阿拉伯大学（黎巴嫩）营养与饮食系的门诊诊所中，对 275 名男女成年人使用基于人体测量的预测方程进行 BF%估计。计算实测 BF%值与估计 BF%值之间的平均差异，以评估五个方程的准确性，同时使用 Bland-Altman 法评估一致性水平。
在男性和女性中，与 BIA 测量结果相比，所有预测方程对 BF%的估计均存在显著差异。另一方面，在两性中，Jackson 方程估计的 BF%值与 BIA 测量值之间的平均差异不显著，Bland-Altman 图证实了这种一致性。
我们建议在黎巴嫩肥胖人群中，Jackson 方程可用于准确估计两性的 BF%。然而，仍迫切需要开展进一步的研究，开发和验证适合 BF%估计的新预测方程，同时考虑到种族因素（即阿拉伯人群）。
