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Regression Equations for Stature Estimation among Medical Students of Ghaziabad

机译:加兹阿巴德医科学生身高估计的回归方程

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"Introduction: Ossification and maturation in the foot occurs earlier than the long bones and therefore, during adolescence height could be more accurately predicted from foot measurement as compared to that from long bones. This study was undertaken to find out the correlation between foot length and height of an individual and to derive regression formulae to estimate the height from the foot length in the study population. Materials & Method: This cross sectional study was conducted at Ghaziabad among 150 healthy medical students aged between between 17 ? 25 years. Foot length and height was measured. Statistical analysis was performed using SPSS software. Karl Pearson?s correlation coefficient and Linear Regression analysis was applied. Results: The mean height and mean foot length was 164.44 cm and 24.65 cm respectively. A strong positive correlation between height and foot length of individuals was found. The regression equation for height and foot length was found to be Y(height) = 4.399 X(mean foot length) + 55.988. Conclusion: Foot length is a useful parameter in stature estimation. Further detailed study for stature estimation using other parameters like hand and toe length should be conducted to establish regression equations. "
机译:“引言:足部骨化和成熟发生的时间早于长骨,因此,与长骨相比,足部测量可以更准确地预测青春期的身高。这项研究旨在找出脚长与足长之间的相关性。材料和方法:本研究在加兹阿巴德(Ghaziabad)进行,研究对象是150名年龄在17至25岁之间的健康医学生。结果:平均身高和平均脚长分别为164.44 cm和24.65 cm,身高与脚之间存在很强的正相关关系,采用SPSS软件进行统计学分析,采用Karl Pearson相关系数和线性回归分析。发现个体的长度,身高和脚长的回归方程为Y(身高)= 4.399 X(平均脚长)+ 55.988。结论:脚长是身高估计中有用的参数。应该使用其他参数(例如手和脚趾长度)对身高估计进行进一步的详细研究,以建立回归方程。 ”

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