Approximation of Height of an Individual Using Somatometry of Human Male Skull

  • Jenash Acharya Department of Forensic Medicine, Kathmandu Medical College, Kathmandu, Nepal
  • B Suresh Kumar Shetty Department of Forensic Medicine and Toxicology, Kasturba Medical College, Mangalore University, Mangalore, India
  • Rijen Shrestha Department of Forensic Medicine, Maharajgunj Medical Campus, Institute of Medicine, Kathmandu, Nepal
  • Tanuj Kanchan Department of Forensic Medicine, All India Institute of Medical Sciences, Jodhpur, India

Abstract

Introduction: Numerous population specific studies conducted on skeletal remains have aimed to standardize the identification process. Known for ethnic and sexual variations, skull bone can also assist the identification process by estimating stature of the individual. The present study focuses on estimation of stature from skull bone using uni-variate and multi-variate regression models in south Indian population.
Methods: Stature and Maximum cranial length, Maximum cranial Breadth, Bi-Pterion breadth, Parietal Cord and upper facial breadth were measured in wet skulls of 113 males, autopsied at Government Hospital of Kudla, Karantaka.
Results: All five measurements showed significant correlation with stature (P value<0.001). MCL showed the highest (r=0.77) and UFB the lowest (r=0.42) degree of correlation. Standard error of estimate was lowest for MCL (4.90 cm) in the derived uni-variate regressions models. In the regression model obtained from the multi-variate analysis using all five skull measurements the β-coefficients were significant (P value<0.001) and the Standard Error of Estimation of the model was observed to be 4.45 cm. Bland-Altman analysis was conducted to explore the agreement between the actual length and the estimated lengths from the multivariate regression model. The mean of difference was 0.105 with a standard deviation of 4.3 and the upper and lower limits of agreement were 8.5 and -8.3 respectively.
Conclusions: The study concludes that stature can be estimated from skull measurements with reasonable accuracy, observations of multi-variate regression models being more precise than the uni-variate regression models. Data collected from South India was compared with data available for Nepalese population and validates the use of data of Indian population for extrapolation in Nepalese population.
Keywords: identification; linear regression; stature; skull; South India. [PubMed]

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Published
2017-07-01
How to Cite
ACHARYA, Jenash et al. Approximation of Height of an Individual Using Somatometry of Human Male Skull. Journal of Nepal Medical Association, [S.l.], v. 55, n. 206, july 2017. ISSN 1815-672X. Available at: <http://jnma.com.np/jnma/index.php/jnma/article/view/3140>. Date accessed: 20 aug. 2017.
Section
Original Article