从马哈拉施特拉邦那格浦尔地区的手长和脚长估算身高

Anil Sahebrao Pungle, Prashant Munjamkar
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引用次数: 1

摘要

目的和目的:身高(身体高度)是识别一个人的重要和有用的人体测量参数。本研究以马哈拉施特拉邦那格浦尔地区医学生为对象,建立以手长和脚长估算身高的标准公式。方法:选取18 ~ 25岁健康正常的成年医学生400名,男200名,女200名。分别使用滑动卡尺和伸展卡尺分别在每个人的左右两侧独立测量手长和脚长。个体的身高是在身高计的帮助下测量的。结果:配对样本t检验显示,双方男性和女性在所有测量值上的统计差异都非常显著(p < 0.0001)。两性身高与各项指标的相关性均为正相关,且具有显著统计学意义(p < 0.0001)。男女足长与身高的相关系数均高于手长,最高相关系数为0.87。身高与手长以及身高与脚长之间的相关性在女性中高于男性。分别计算了男性和女性身高估计的线性和多元回归方程,以及男女身高估计的线性和多元回归方程。结论:解释变量与身高呈显著正相关,可用于身高预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of stature from hand length and foot length in Nagpur region of Maharashtra State
Aim and Objectives: Stature (body height) is an important and useful anthropometric parameter for identification of an individual. The present study was undertaken to set up a standard formulae to estimate stature from hand length and foot length in medical students of Nagpur region of Maharashtra state. Method: Four hundred healthy and normal adult medical students comprising of 200 males and 200 females in 18-25 years age group were included in the study. The hand length and foot length were measured independently on left and right side of each individual using a Sliding caliper and spreading calipers respectively. Stature of individuals was measured with the help of a Stadiometer. Results: The paired sample t test showed that the statistical difference between males and females on both sides was highly significant for all the measurements (p < 0.0001). The correlation between stature and various parameters studied in both the sexes were found to be positive and statistically highly significant (p < 0.0001). The correlation coefficient of foot length in both males and females together depicts higher correlation with stature than hand length with highest correlation coefficient 0.87. The correlation between stature and hand length as well as stature and foot length was higher in females than males. Linear and multiple regression equations for stature estimation were calculated separately for males and females as well as for both sexes together. Conclusion: The significant positive correlations between the explanatory variables and stature indicate that these variables can be successfully used to predict stature.
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