A simple equation to estimate body fat percentage in children with overweightness or obesity: a retrospective study.
A simple equation to estimate body fat percentage in children with overweightness or obesity: a retrospective study.
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作者：
Cortés-Castell E;Juste M;Palazón-Bru A;Monge L;Sánchez-Ferrer F;Rizo-Baeza MM
双能 X 射线吸收测定法 (DXA) 可单独测量脂肪量、去脂量和骨量，是一种快速、准确且安全的技术，但在常规临床实践中并不容易使用。因此，我们的目标是开发统计公式，用简单的参数（年龄、性别、体重和身高）来预测脂肪量 (%) 和脂肪量指数 (FMI)。我们对 416 名 4-18 岁超重或肥胖患者进行了一项回顾性观察横断面研究，通过 DXA（脂肪质量百分比和 FMI）、体重指数 (BMI)、性别和年龄来评估肥胖情况。我们将样本随机分为两部分（构建和验证）。在构建示例中，我们开发了使用线性多元回归模型预测脂肪量和 FMI 的公式。这些公式在另一个样本中得到了验证，通过自举计算类内相关系数。脂肪质量百分比公式的确定系数为0.65。 FMI 的该值为 0.86。在验证中，构建的公式的脂肪质量百分比的组内相关系数为 0.77，FMI 的组内相关系数为 0.92。我们的预测公式通过简单的参数（BMI、性别和年龄）准确预测超重和肥胖儿童的脂肪量和 FMI。所提出的方法可以应用于其他领域。需要进一步的研究来外部验证这些公式。
Dual-energy X-ray absorptiometry (DXA) provides separate measurements of fat mass, fat-free mass and bone mass, and is a quick, accurate, and safe technique, yet one that is not readily available in routine clinical practice. Consequently, we aimed to develop statistical formulas to predict fat mass (%) and fat mass index (FMI) with simple parameters (age, sex, weight and height). We conducted a retrospective observational cross-sectional study in 416 overweight or obese patients aged 4–18 years that involved assessing adiposity by DXA (fat mass percentage and FMI), body mass index (BMI), sex and age. We randomly divided the sample into two parts (construction and validation). In the construction sample, we developed formulas to predict fat mass and FMI using linear multiple regression models. The formulas were validated in the other sample, calculating the intraclass correlation coefficient via bootstrapping. The fat mass percentage formula had a coefficient of determination of 0.65. This value was 0.86 for FMI. In the validation, the constructed formulas had an intraclass correlation coefficient of 0.77 for fat mass percentage and 0.92 for FMI. Our predictive formulas accurately predicted fat mass and FMI with simple parameters (BMI, sex and age) in children with overweight and obesity. The proposed methodology could be applied in other fields. Further studies are needed to externally validate these formulas.