重庆医学2016，Vol.45Issue(30)：4182-4185,4.DOI:10.3969/j.issn.1671-8348.2016.30.003
人体测量学参数与定量CT 测量腹部脂肪的相关性与预测误差
The correlation and prediction error of anthropometric indicators and quantitative computed tomography in measuring abdominal fat
摘要
Abstract
Objective To investigate the correlation and standard estimate error of anthropometric indicators and abdominal visceral fat by quantitative computed tomography (QCT) .Methods We measured the height ,weight ,waist circumference(WC) , hip circumference(HC) in 568 Chinese adults (including 234 males and 334 females) .Abdominal adipose tissue was quantitatively measured by tissue composition module of Mindways QCT software using QCT scan data .The total fat area(TFA) and the visceral fat area(VFA) were measured in a slice in the inferior of T12 ,L1 ,L2 ,L3 ,L4 ,L5 vertebra and umbilicus level .The subcutaneous fat area(SFA) ,total abdominal fat volume ,total visceral fat volume(TVFV) and total subcutaneous fat volume(TSFV) were calculated from measurements .Correlations among BMI ,WC ,HC ,WHR and VFA was assessed .Standard estimate error(SEE) of BMI ,WC , HC ,WHR in the prediction of the VFA by QCT was calculated .Results Correlation between WC and VFA in different anatomical locations was better than BMI ,HC and WHR ,the correlation coefficients R2 was 0 .48-0 .64 in male and 0 .53-0 .66 in female ,all P<0 .01 .The SEE of WC in the prediction of the VFA measured by QCT were 25 .36-31 .57 cm2 (male) ,23 .64-25 .31 cm2 (fe‐male) ,or 23 .13% -27 .78% (male) ,25 .44% -36 .03% (female) .Conclusion The standard estimate error of anthropometry pa‐rameters in the prediction of VFA was significant .QCT is a more accurate measurement of VFA ,and it has the potential of clinical application .关键词
人体测量学/腹部脂肪/定量计算机断层扫描Key words
anthropometry/visceral adiposity/quantitative computed tomography分类
医药卫生引用本文复制引用
端木羊羊,余永强,程晓光,王玲,张勇..人体测量学参数与定量CT 测量腹部脂肪的相关性与预测误差[J].重庆医学,2016,45(30):4182-4185,4.基金项目
国家自然科学基金资助项目（81401407）；国家科技部十二五支撑计划基金资助项目（2012BAI10B02）；北京市卫生局“215”高层次卫生技术人才培养计划基金资助项目（2009-2-03）；北京市卫生局首都卫生发展科研专项基金资助项目（首发2014-2-1122）。 （）
