摘要
【目的】
通过观察广州地区人群男、女性正位腰椎和股骨局部扫描模式获得的腹部和髋部脂肪百分比与从全身扫描模式获得的全身和腹部、髋部脂肪百分比之间的相关性。探讨通过测量正位腰椎、股骨局部脂肪含量推算全身和腹部、髋部脂肪含量的可行性。
【方法】
广州地区成年受检者共772例(20～87岁，其中男性175例，女性597例)。采用双能X线吸收法(DXA)全身扫描模式测量全身和腹部、髋部脂肪百分比及正位腰椎和股骨局部扫描模式测量腹部、髋部脂肪百分比。按性别和体重指数(BMI)分组，对各组数据进行直线相关分析并建立多元线性回归方程。另有61例(22～84岁，其中男性28例，女性33例)接受检测以验证根据多元线性回归方程计算的结果的准确性。
【结果】
男、女性从全身扫描模式获得的全身和腹部的脂肪百分比与从正位腰椎局部扫描模式获得的腹部脂肪百分比具有良好的相关性(r=0.89～0.94，男性；r=0.84～0.92，女性；P＜0.001)；全身和髋部的脂肪百分比与股骨局部扫描模式获得的髋部脂肪百分比((r=0.75～0.80，男性；r=0.75，女性；P＜0.001))同样具有良好的相关性。引入BMI和年龄因素建立的从男、女性正位腰椎、股骨局部扫描模式获得的腹部和髋部脂肪百分比推算全身和腹部、髋部脂肪百分比及A／G比值的多元线性回归方程具有良好的拟合程度(R~2=0.63～0.90，P＜0.001)。验证组的预测值和实测值之间同样具有良好的符合性(R~2=0.62～0.92，P＜0.001)。
【结论】
可以根据DXA正位腰椎和股骨局部脂肪测量值准确推算出全身和腹部、髋部的脂肪含量。为临床经济、快捷地获取患者全身和局部脂肪含量及分布资料提供一种新的途径。
【Objective】
Our study was designed to examine the correlation between the regional bodymeasurements [anteroposterior lumbar spine fat percentage (spine %fat) and proximalfemur fat percentage (femur %fat)] and the measurements from total body scan [totalbody fat percentage (TBF%), android fat percentage (android %fat) and gynoid fatpercentage (gynoid %fat)], as measured by dual-energy X-ray absorptiometry (DXA),among men and women in Guangzhou. The study also investigated whether regionalDXA measurements could be used to assess TBF%.
【Methods】
In total, 175 males and 597 females (age range: 20-87 yr) from Guangzhou wererecruited. Total body scan and regional scan were performed concurrently using DXA.The TBF%, android %fat and gynoid %fat were obtained from total body scan, and thefemur %fat and spine %fat from regional scan. Based on their body mass index (BMI),male and female subjects were subdivided into 4 groups. The relationship between DXAmeasurements was evaluated and prediction equations were established. A separate groupof subjects (mare: 28 and female: 33; age range: 22-84 yr) was used for cross-validation.
【Results】
For males and females, TBF% and android %fat were significantly correlated withspine %fat (r=0.89-0.94 in male and r=0.84-0.92 in female; p＜0.001); TBF% andgynoid %fat were significantly correlated with femur %fat (r=0.75-0.80 in male and r=0.75 in female; p＜0.001). For both genders, introduction of spine %fat, femur %fat,BMI and age provided good estimates of TBF%, android %fat, gynoid %fat and the ratioof android %fat to gynoid %fat (R2=0.63-0.90, p＜0.001); the accuracy of theprediction equations appeared to be high-to-moderate (R2=0.62-0.92, p＜0.001).
【Conclusion】
Spine %fat and femur %fat obtained from regional scan provide a good assessment of TBF%, android %fat and gynoid %fat. Our results provided a new method for assessingthe TBF% and regional fat distribution.
引文
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