Publication:

電腦斷層掃描之腹部內臟脂肪測量於簡易人體測量模式建立

本研究目的是以電腦斷層掃瞄掃描腹部內臟脂肪面積的結果，利用人體測量參數與皮脂厚度測量，來建立快速、便利的腹部內臟脂肪的估測模式。受試者共173名，分為模型建立組與交叉驗證組，模型建立組共119名，男性55名，女性64名；交叉驗證組共54名，男性24名，女性30名。人體測量部分為身高、體重、腰圍、臀圍、腰臀比、皮脂厚度測量(12部位)。使用逐步回歸分析法推導出適合的估測方程式。估測方程式所使用預測變數為：腰臀比、年齡、BMI、性別、皮脂厚度(背部)與皮脂厚度(大腿)。研究結果估測方程式預測腹部內臟脂肪面積之相關係數(r)為0.93，解釋變異量(r2)為0.87，SEE值為15.01cm2。本研究解釋變異量與SEE值都優於先前研究。因此，本研究所提供的估測腹部內臟脂肪方程式是可行性高且具有準確性。

The purpose of this study is based on computerized tomography scan of the abdominal visceral fat area results, anthropometric parameters and skinfold thickness measurements to create fast, convenient abdominal visceral fat estimation mode. Subjects were 173 adults, and divided into model group and cross-validation group. model group were 119 adults, 55 men and 64 women；cross-validation group were 54 adults, 24 men and 30 women. The anthropometric part divided into height, weight, waist circumference, hip circumference, waist-hip ratio and skinfold thickness measurements (12 parts). Using stepwise multiple regression analysis to derive appropriate prediction equation. A prediction equation was obtained that used the predictors: waist-hip ratio, age BMI gender skinfold thickness (back) and skinfold thickness (thigh).The results of study was that the correlation coefficient (r) , explained variance (r2) and standard estimation error (SEE) values of the abdominal visceral fat area of the prediction equation were 0.93, 0.87 and 15.01 cm2. These explained variance values and standard estimation error values of this study were superior to those in previous studies. Therefore, this study provides the prediction of abdominal visceral fat equation is the highly feasible and accuracy.