A Statistical Evaluation for Predicting the Stature Using the Facial Height by Regression Analysis
Journal Title: Indian Journal of Anatomy - Year 2018, Vol 7, Issue 3
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.
Authors and Affiliations
Khan Kamil
Keywords
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- EP ID EP508246
- DOI 10.21088/ija.2320.0022.7318.8
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