University of Florence, Careggi University Hospital (AOUC), Largo Brambilla 3, Florence, Italy.
Endocrine. 2022 Jun;76(3):578-583. doi: 10.1007/s12020-022-03030-x. Epub 2022 Mar 19.
Obesity and overfat are most commonly assessed using the body mass index (BMI), which evaluates "total obesity", without accounting for body fat distribution. Therefore, several indexes of obesity have been proposed, combining BMI with other measures or singular parameters. The aim of the study was to evaluate the accuracy of a new, simple index that takes into account both BMI and Waist Circumference (WC), Waist Body Mass Index (wBMI) in comparison to BMI, WC e Waist-to-Height Ratio (WHtR) for the identification of overfat and obese patients identified by fat mass percentage (FM%). 2400 non diabetic patients were enrolled. From the analysis carried out it emerges that wBMI, BMI, WC and WHtR all have a statistically significant positive correlation (p-Value < 0.001) with FM%. The multivariate analysis showed the positive relationship between these four indexes and the FM. To assess the accuracy of these indices in diagnosing the condition of overfat and obesity we used the statistical analysis Receiver Operating Characteristic (ROC). The Area Under the Curve (AUC) derived from the ROC showed that for the male gender the indicator with the greatest discriminating capacity of the conditions of overfat and obesity was the WHtR and the wBMI for the female gender. The wBMI is therefore configured as an additional tool at the disposal of the healthcare professional aimed at framing the overfat and obese patient and monitoring him during the course of treatment. Moreover wBMI is an indicator able to provide information about the FM% constituting an accurate tool for the evaluation of the overfat and obese patient.
肥胖和超重通常使用身体质量指数（BMI）进行评估，该指数评估“总体肥胖”，而不考虑体脂分布。因此，已经提出了几种肥胖指数，将 BMI 与其他指标或单一参数相结合。本研究的目的是评估一种新的简单指数的准确性，该指数同时考虑 BMI 和腰围（WC），腰围体重指数（wBMI）与 BMI、WC 和腰高比（WHtR）相比，用于识别体脂百分比（FM%）确定的超重和肥胖患者。共纳入 2400 名非糖尿病患者。从进行的分析中得出，wBMI、BMI、WC 和 WHtR 与 FM%均呈统计学显著正相关（p 值<0.001）。多变量分析显示这四个指标与 FM 之间存在正相关关系。为了评估这些指标在诊断超重和肥胖状况方面的准确性，我们使用了统计分析接收器操作特征（ROC）。ROC 得出的曲线下面积（AUC）表明，对于男性，最能区分超重和肥胖状况的指标是 WHtR，对于女性，是 wBMI。因此，wBMI 被配置为医疗保健专业人员的附加工具，旨在描述超重和肥胖患者，并在治疗过程中对其进行监测。此外，wBMI 是一个能够提供关于 FM%信息的指标，是评估超重和肥胖患者的准确工具。
