Estimation of skeleton weight in the living.

Estimation of skeleton weight in the living.
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活人骨骼重量的估计。

DOI:
10.1002/ajpa.1330140405
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发表时间:
1956
影响因子:
2.8
通讯作者:
Roy R. Peterson
Roy R. Peterson
中科院分区:
地球科学2区
文献类型:
--
作者:
Ann L. Merz;M. Trotter;Roy R. Peterson

文献摘要

被引文献

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选择的骨骼应确保美国白人男性和女性以及黑人男性和女性各约 50 具,并且 4 个群体中的每一组在成年后的每个十年中应均匀地代表。测量对象为年龄、身高、股骨长度、股骨中半部致密骨面积、致密骨面积和股骨中半部致密骨百分比、股骨重量和骨骼重量。各组中,身高和股骨长度变异系数最小,股骨干面积居中,致密骨面积、致密骨百分比、股骨重量和骨骼重量变异系数最高。因此,前 3 个指标随年龄的变化小于其他指标。 在所有组中,股骨重量与骨骼重量的相关性最高,但对于活体受试者显然没有预测价值。对各组进行骨骼重量与年龄、身高、股骨长度、骨干面积和致密骨面积的联合回归分析。白人男性和女性的最佳预测方程仅涉及致密骨面积,黑人男性的最佳预测方程包括身高和骨干面积,黑人女性的最佳预测方程包括年龄、骨干面积和致密骨面积。 [这些方程的成功程度可以通过变异系数从 14.6%、21.1%、16.2% 和 17.2% 的减少来判断。至 11.7%、15.1%、12.9% 和 12.8%。分别。]- A. W. Boyne。
The skeletons were selected so that there should be about 50 each of American white male and female and negro male and female and that each of the 4 groups should be evenly represented in each decade after adult age. The measurements made were age, stature, femur length, area of shaft, area of compact bone and percentage of compact bone in central half of femur, femur weight and skeleton weight.In each group, stature and femur length had the smallest coefficients of variation, area of shaft was intermediate and area of compact bone, percentage of compact bone, femur weight and skeleton weight had the highest coefficients of variation. Thus the first 3 measures changed less with age than the others.In all groups femur weight was most highly correlated with skeleton weight, but was obviously of no prediction value for living subjects. A joint regression analysis of skeleton weight upon age, stature, femur length, area of shaft and area of compact bone was made for each group. The best prediction equations for white males and females involved area of compact bone only, that for negro males included stature and shaft area, and that for negro females included age, shaft area and area of compact bone. [The measure of success of these equations may be judged by the reduction of the coefficients of variation from 14.6, 21.1, 16.2, and 17.2 per cent. to 11.7, 15.1, 12.9 and 12.8 per cent. respectively.]- A. W. Boyne.