So Rina, Matsuo Tomoaki, Saotome Kousaku, Tanaka Kiyoji
Research Center for Overwork-Related Disorders, National Institute of Occupational Safety and Health, Japan.
Occupational Epidemiology Research Group, National Institute of Occupational Safety and Health, Japan.
Ind Health. 2017 Oct 7;55(5):416-422. doi: 10.2486/indhealth.2017-0060. Epub 2017 Jul 11.
The purpose of this study was to develop a new equation model for predicting abdominal visceral adipose tissue (VAT) volume using anthropometric values for workplace health checkup and to clarify the association between metabolic risk factors and measured and predicted VAT volumes. Two hundred sixty male workers (200 for derivation group and 60 for validation group) participated in the cross-sectional study. The anthropometric variables and VAT volume were measured with 24 consecutive magnetic resonance images. Measurements in the validation group also included metabolic risk factors, i.e. blood pressure, HDL cholesterol, triglyceride, fasting glucose and HbA1c. Using multiple regression analyses for the derivation group, we determined the best prediction equation for abdominal VAT volume with a variance of 47% as follows: 47.03 age+117.79 BMI+74.18 waist circumference -8,792.7. In our validation group, the correlation coefficient between the measured and predicted VAT volumes was 0.74 (p<0.01). Furthermore, blood pressure, fasting glucose and HbA1c correlated with both measured and predicted VAT volumes. This study suggests that the equation model has potential to assess VAT accumulation levels in workers health checkup where CT and MRI are not available.
本研究的目的是利用工作场所健康检查的人体测量值开发一种预测腹部内脏脂肪组织（VAT）体积的新方程模型，并阐明代谢危险因素与测量和预测的VAT体积之间的关联。260名男性工人（200名用于推导组，60名用于验证组）参与了这项横断面研究。通过连续24张磁共振图像测量人体测量变量和VAT体积。验证组的测量还包括代谢危险因素，即血压、高密度脂蛋白胆固醇、甘油三酯、空腹血糖和糖化血红蛋白。对推导组进行多元回归分析后，我们确定了腹部VAT体积的最佳预测方程，方差为47%，如下所示：47.03×年龄+117.79×体重指数+74.18×腰围 - 8792.7。在我们的验证组中，测量和预测的VAT体积之间的相关系数为0.74（p<0.01）。此外，血压、空腹血糖和糖化血红蛋白与测量和预测的VAT体积均相关。本研究表明，在无法进行CT和MRI检查的工人健康检查中，该方程模型有潜力评估VAT积累水平。
