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Estimation of stature from hand length and foot length in Nagpur region of Maharashtra State

机译:从马哈拉施特拉邦那格浦尔地区的手长和脚长估算身高

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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.
机译:目的和目标:身高(身高)是用于识别个人的重要且有用的人体测量参数。进行本研究以建立标准公式,以从马哈拉施特拉邦那格浦尔地区的医学生的手长和脚长估算身高。方法:本研究包括18至25岁年龄段的400名健康和正常成人医学生,包括200名男性和200名女性。分别使用滑动卡尺和扩展卡尺分别在每个人的左侧和右侧分别测量手长和脚长。借助身高计测量个体的身高。结果:配对样本t检验显示,在所有测量中,两边的男性和女性之间的统计学差异均非常显着(p <0.0001)。身高与所研究的各种参数之间的相关性在两个性别中均呈正相关,且具有统计学意义(p <0.0001)。男性和女性的脚长相关系数一起显示出与身材的相关性高于手长,相关系数最高为0.87。女性的身高和手长以及身高和脚长之间的相关性高于男性。分别针对男性和女性以及男女共同计算用于身高估计的线性和多元回归方程。结论:解释变量和身高之间的显着正相关表明,这些变量可以成功地用于预测身高。

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