Evaluation of body composition by dual energy x-ray absorptiometry and two different software packages.
Evaluation of body composition by dual energy x-ray absorptiometry and two different software packages.
复制标题
通过双能 X 射线吸收测定法和两种不同的软件包评估身体成分。
DOI：
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发表时间：
1995
影响因子：
4.1
通讯作者：
P. Mayclin
中科院分区：
文献类型：
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作者：
M. Van Loan;N. Keim;K. Berg;P. Mayclin
双能x线骨密度仪（DXA）测量人体成分、组织分布、骨矿物质含量（BMC）和骨矿物质密度（BMD）。由于软件版本不同，可能存在差异。本研究使用不同软件包（版本3.4和3.6R）的DXA （Lunar Corp., Madison， WI）检查了身体成分、组织分布、BMC和BMD测量值。15名年龄在20-40岁之间的女性参加了一项减肥研究（身体质量指数为28），并自愿通过密度测量法评估身体成分。使用DXA测量BMC、BMD和组织分布。采用软件版本3.4和3.6R分别分析结果1次。使用DXA测量的BMC +总软组织与测量的体重相当（3.4 = 76.3 kg; 3.6R = 76.5 kg；体重= 76.5 kg）。BMC和BMD降低（5.5%和1.8%,P < 0.01）， r为3.6。臂组织质量降低（1530 g, P < 0.01），脂肪减少（1069 g, P < 0.01）， r为3.6。腿部组织质量减少487 g (P < 0.01)，脂肪组织质量增加526 g (P < 0.01)，比值为3.6R。脂肪量（1492 g）较大，瘦肉量（1115 g）较低，r值为3.6，r值为3.4。使用DXA 3.4和3.6R进行密度测量的脂肪百分比值分别为38.1%、39.9%和41.9%。这些结果显示了DXA软件版本在总体组成、瘦和脂肪组织分布以及骨骼测量方面的差异。
Dual energy x-ray absorptiometry (DXA) measures body composition, tissue distribution, bone mineral content (BMC), and bone mineral density (BMD). Differences are possible due to software versions. This investigation examined body composition, tissue distribution, BMC, and BMD measurements using a DXA (Lunar Corp., Madison, WI) with different software packages (versions 3.4 and 3.6R). Fifteen women, ages 20-40 yr, enrolled in a weight-loss study (body mass index = 28) and volunteered for body composition assessment by densitometry. BMC, BMD, and tissue distribution measurements were made using DXA. Results were analyzed once each with software versions 3.4 and 3.6R. BMC + total soft tissue, measured using DXA, was comparable to measured body weight (3.4 = 76.3 kg; 3.6R = 76.5 kg; weight = 76.5 kg). Lower BMC and BMD (5.5% and 1.8%, P < 0.01) were observed with 3.6R. Arm tissue mass was lower (1,530 g; P < 0.01) and fat declined (1,069 g; P < 0.01) with 3.6R. Leg tissue mass decreased 487 g (P < 0.01), but fat tissue increased (526 g, P < 0.01) with 3.6R. A larger fat mass (1,492 g) and lower lean mass (1,115 g) were observed with 3.6R compared with 3.4. Percent fat values by densitometry using DXA 3.4 and 3.6R were 38.1%, 39.9, and 41.9%, respectively. These results demonstrated differences in total body composition, lean and fat tissue distribution, and bone measurements from DXA software versions.