使用下肢测量重建什叶派穆斯林的身材

Bhavna, S. Nath
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引用次数: 43

摘要

本研究旨在利用下肢尺寸重建德里男性和女性什叶派穆斯林的身材。为此,使用Martin和small推荐的标准测量技术记录了每个受试者的身高、股骨长度、胫骨长度、腓骨长度、脚长和脚宽。数据由1011名年龄在20-40岁之间的什叶派穆斯林(503名男性和508名女性)组成。利用上述变量建立了高度估计的乘法因子和线性回归方程。数据分析显示,什叶派男性比什叶派女性高。性别差异被观察到是非常显著的。研究分析表明,男性胫骨长度与身高的总体相关性最高(r = 0.765),估计标准误差最低;女性股骨长度与身高的总体相关性最高(r = 0.742)。然而,无论男性还是女性,脚宽与身高的相关性都最小。该研究强调,男性的胫骨长度和女性的股骨长度提供了对身高的最佳估计。然而,在男性和女性中,使用脚宽估计的身高可能不太可靠,因为它与身高的相关性最低。对数据的分析清楚地表明,对任何这些身体尺寸使用线性回归方程,预测身高的可靠性都比为此目的使用m.f更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of Lower Limb Measurements in Reconstructing Stature among Shia Muslims
The present study aims to reconstruct stature among male and female Shia Muslims of Delhi using lower limb dimensions. To this aim the stature, femur length, tibial length, fibular length, foot length and foot breadth were recorded on each subject using the standard measurement techniques recommended by Martin and Saller 1 The data is composed of 1011 Shia Muslims (503 males and 508 females) within the age range of 20-40 years. Multiplication factors (M.Fs) and linear regression equations for stature estimation were produced using the above mentioned variables. Analysis of data reveals that the Shia males are taller than the Shia females. The sex differences have been observed to be highly significant. Analysis of the study reveals that tibial length among males exhibits the overall highest value of correlation with stature (r = 0.765) and lowest value of standard error of estimate while among females femur length exhibits the highest value of correlation (r = 0.742) with stature. However foot breadth exhibits the least correlation with stature in case of both males and females. The study highlights that the tibial length among males and femur length among female provides the best estimate of stature. However, the estimated stature may not be quite reliable using foot breadth among both males and females as it exhibits the lowest correlation with stature. Analysis of data clearly indicates that the dependability in the predicted stature would be better on using linear regression equations for any of these body dimensions as compared to the use of M.Fs for this purpose.
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