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常规人体测量和手臂X光检查在营养状况评估中的应用:其潜力。

Routine anthropometry and arm radiography in assessment of nutritional status: its potential.

作者信息

Behnke A R, Katch F I, Katch V L

出版信息

JPEN J Parenter Enteral Nutr. 1978 Sep;2(4):532-53. doi: 10.1177/014860717800200405.

Abstract

Elementary anthropometric and radiographic techniques, carefully executed and routinely employed in definitive surveys of healthy persons, are of potential value in assessment of patients, and provide the following: 1. Formulas to compute mean "ideal body weights" of young adults from stature (W = kh1.7). 2. A "unit size-weight" index (uS-W) with a mean value of 100 or nearly identical to 100 for all mean "ideal weights" relative to stature. 3. The distribution of values of the uS-W index for 80 and 90% of the population of young adults around the mean. 4. Conversion of body girths and stature to ponderal equivalents such that component A reflects fatness (if present) and component B, leanness and muscularity. 5. Conversion of skeletal diameters and stature to a relative "frame" size weight, designated component C, and employed as a "reference weight" (Ref W) for the calculation of lean body weight (LBW) in the male, and "minimal weight" as well as LBW in the female. 6. Conversion of skinfold thickness to estimates of body fat by means of a surface area formulation where: Weight of fat = SA x skinfold widths x k(fat). 7. The introduction of comprehensive arm radiography to reveal presumptive estimates of body fat from SA and of the amount of bone and muscle in the arm to LBW. 8. The visualization of body shape in the somatogram, and the value of photography under strictly controlled conditions.

摘要

基础人体测量和放射学技术,在对健康人群进行的确定性调查中仔细实施并常规应用,对患者评估具有潜在价值,并能提供以下内容:1. 根据身高计算年轻成年人平均“理想体重”的公式(W = kh1.7)。2. 一个“单位尺寸 - 体重”指数(uS - W),对于所有相对于身高的平均“理想体重”,其平均值为100或与100几乎相同。3. 年轻成年人群体中80%和90%的uS - W指数值围绕平均值的分布情况。4. 将体围和身高转换为 ponderal 当量,使得组分A反映肥胖程度(若存在),组分B反映瘦体重和肌肉量。5. 将骨骼直径和身高转换为相对“骨架”尺寸体重,指定为组分C,并用作计算男性瘦体重(LBW)以及女性“最小体重”和LBW的“参考体重”(Ref W)。6. 通过表面积公式将皮褶厚度转换为身体脂肪估计值,其中:脂肪重量 = SA × 皮褶宽度 × k(脂肪)。7. 引入全面的手臂放射摄影,以从表面积推断身体脂肪估计值,并从手臂骨骼和肌肉量推断LBW。8. 在体型图中呈现身体形状,以及在严格控制条件下摄影的价值。

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