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Indian Journal of Anatomy

Volume  7, Issue 3, May - June 2018, Pages 268-274
 

Original Article

A Statistical Evaluation for Predicting the Stature Using the Facial Height by Regression Analysis

Khan Kamil¹, Kumar Saroj², Alam Md T.³, Khan Ahmad S.4, Alvi Habeeb A.5, Ahmad Syed M.6

1,3Assistant Professor ²Associate Professor, Department of Anatomy 4Assistant Professor, Department of Orthopaedic Surgery 5Professor, Department of Dental Sciences 6Assistant Professor, Department of ENT, Hind Institute of Medical Sciences, Sitapur, Uttar Pradesh 261303, India.

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DOI: DOI: http://dx.doi.org/10.21088/ija.2320.0022.7318.8

Abstract

Aims: To predict the stature using the facial height by regression analysis. Methods and Material: The subject’s Stature was measured by a stadiometer and the facial height by a vernier calliper in 150 medical students. Statistical Analysis used: The data was analyzed statistically by regression analysis. Results: Based on the linear regression analysis, stature would increase by 7.09 cm and 7.07cm for each cm increase in facial height in males and females respectively (P < 0.001). Mean stature was 167.54±9.59 cm and mean facial height was 10.77±0.76 cm. The P value was less than 0.001. This shows a significant positive correlation between stature and facial height. Conclusions: Estimation of stature from facial height could be performed where only unknown head and face are brought for anthropometric examinations.

Keywords: Stature; Facial Height; Regression.


Corresponding Author : Saroj Kumar