Torgutalp Ş Ş, Korkusuz F
Hacettepe University Faculty of Medicine - Sports Medicine, Ankara, Turkey.
Acta Endocrinol (Buchar). 2022 Jan-Mar;18(1):58-63. doi: 10.4183/aeb.2022.58.
Predictive equations estimate total fat mass obtained from multiple-site ultrasound measurements; however, the predictive equation of total fat mass has not been investigated solely from abdominal subcutaneous fat thickness.
To develop regression-based prediction equations using abdominal subcutaneous fat thickness for predicting fat mass, and to explore the validity of these predictive equations.
Cross-sectional study.
Twenty-seven males and eighteen females were randomly divided into two groups as the model prediction and the validation. Total body fat mass was determined by dual-energy X-ray absorptiometry. The linear regression analysis was used to predict equations for total body fat mass from abdominal subcutaneous fat thickness acquired by ultrasound. Then, these predictive equations were tested on the validation group. Lin's concordance correlation coefficient (CCC) was used as a further measure of agreement.
When fat mass prediction equations were tested on the validation groups, measured- and estimated-total fat masses in males (p=0.9) and females (p=0.5) were found similar. A good level of agreement between measurements in males (CCC=0.84) and females (CCC=0.76) was attained.
The abdominal subcutaneous fat thickness obtained from a single region by ultrasound might provide a non-invasive and quick evaluation.
预测方程可根据多部位超声测量结果估算总脂肪量；然而，尚未仅依据腹部皮下脂肪厚度来研究总脂肪量的预测方程。
利用腹部皮下脂肪厚度建立基于回归的预测方程以预测脂肪量，并探讨这些预测方程的有效性。
横断面研究。
27名男性和18名女性被随机分为两组，即模型预测组和验证组。通过双能X线吸收法测定全身脂肪量。采用线性回归分析，根据超声获取的腹部皮下脂肪厚度建立全身脂肪量的预测方程。然后，在验证组中对这些预测方程进行检验。使用林氏一致性相关系数（CCC）作为一致性的进一步衡量指标。
在验证组中对脂肪量预测方程进行检验时，发现男性（p = 0.9）和女性（p = 0.5）的实测总脂肪量与估计总脂肪量相似。男性（CCC = 0.84）和女性（CCC = 0.76）的测量值之间达到了良好的一致性水平。
通过超声从单一区域获取的腹部皮下脂肪厚度可能提供一种无创且快速的评估方法。
