摘要
目的探讨DXA测量正位腰椎、股骨局部脂肪含量评估腹部、髋部和全身脂肪含量的可行性。方法成年受试者共833例,其中男性203人,女性630人。所有受试者分为两组:回归方程组和验证组。采用双能X线骨密度仪测量所有受试者全身、腹部Android区域(A区)、髋部Gynoid区域(G区)、正位腰椎(L1~L4)和双侧股骨的脂肪体重百分比(%fat)。回归方程组受试者按性别分组,分析正位腰椎和双侧股骨%fat与A区、G区和全身%fat的相关性,并建立局部%fat与A区、G区和全身%fat的多元线性回归方程。验证组受试者实际测量值用来验证回归方程的准确性。结果①男、女性正位腰椎和双侧股骨的%fat与A区%fat、G区%fat和TBF%之间均具有显著正相关(r=0.72~0.94,P〈0.001)。②腰椎、股骨、年龄和BMI的共同作用对全身%fat的预测贡献最大(男性R^2=0.88,女性R^2=0.84)。③根据多元线性回归方程从正位腰椎、股骨局部%fat得到的男、女性A区%fat、G区%fat和TBF%的预测值和实测值之间具有显著正相关(r=0.72~0.96,P〈0.001)。结论可以根据DXA腰椎和股骨局部脂肪测量评估腹部、髋部和全身的脂肪含量。
Objective This study was aimed to investigate the correlation between regional body composition and total body fat percentage, as measured by dual-energy X-ray absorptiometry (DXA). Methods Men ( n = 203) and women (n = 630), aged 20-87 yr, were assessed for height, weight, and body mass index (BMI) and for total body, lumbar spine ( L1 - L4 ), and left and right proximal femur fat percentage ( % fat) using DXA. All subjects were subdivided randomly into 2 groups: regression equation group and checking group. Subjects in regression equation group were used to 1 )analyze the correlation between spine % fat, the left and right femur% fat and total body%fat, 2)establish the multiple linear regression equation. Subjects in checking group were used to verify the accuracy of the equation. Results 1 ) For all subjects, the total body % fat derived from the total body scan was strongly correlated with spine%fat and the left and right femur%fat ( r : 0.72 - 0.94, P 〈 0.001 ), as obtained from regional scans. 2) In stepwise regression, total body% fat was best assessed by spine% fat, left femur% fat, age, and BMI for both genders ( male : R^2 = 0.88 ; female R^2 = 0.84) . 5 ) The accuracy of all prediction equations was high in both males and females. Conclusion Clinicians can assess total body% fat using data obtained from DXA regional scans.
出处
《中国骨质疏松杂志》
CAS
CSCD
2008年第11期782-784,817,共4页
Chinese Journal of Osteoporosis
关键词
双能X线吸收法
腰椎
股骨
身体成分
Dual-energy X-ray absorptiometry
Lumbar spine
Proximal femur
Body composition