Approximation of Height of an Individual Using Somatometry of Human Male Skull
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]
2. Pearson K. Mathematical Contributions to the Theory of Evolution. V. On the Reconstruction of the Stature of Prehistoric Races. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 1899;192(0):169-244. [Full Text | DOI]
3. İşcan MY, Steyn M. The human skeleton in forensic medicine.3rd ed. Springfield, Illinois, U.S.A.: Charles C Thomas Publisher Ltd; 2013. [Full Text]
4. Krishan K, Kanchan T. Stature and Build. In: Siegel JA and Saukko P (eds): Encyclopedia of Forensic Sciences. Waltham: Academic Press, Elsevier, 2013;1:49-53 [Full Text]
5. Kanchan T, Kumar G, Menezes R. Index and ring finger ratio-A new sex determinant in south Indian population. Forensic Sci Int. 2008 Oct 25;181(1-3):53.e1-53.e4.[PubMed | DOI ]
6. Ozaslan A, Koç S, Özaslan İ, et al. Estimation of Stature from Upper Extremity. Mil Med. 2006 Apr;171(4):288-291. [PubMed | Full Text | DOI]
7. Torimitsu S, Makino Y, Saitoh H, et al. Stature estimation in Japanese cadavers using the sacral and coccygeal length measured with multidetector computed tomography. Leg Med. (Tokyo) 2014 Jan;16(1):14-19. [PubMed | DOI]
8. Hasegawa, K. Uenishi, T. Fukunaga, et al. Stature estimation formulae from radiographically determined limb bone length in a modern Japanese population, Leg Med. (Tokyo) 2009 Nov;11:260–266. [PubMed | DOI]
9. O’Connor WG. Briefly unidentified: a study of peculiar source of identification. J Forensic Sci. 1999 Jul;44:713–5. [PubMed]
10. Puschel K, Koops E. Dismemberment and mutilation (2). Arch Kriminol. 1987 Sep-Oct;180(3-4):88–100. [PubMed]
11. Giurazza F, Del Vescovo R, Schena E, et al. Determination of stature from skeletal and skull measurements by CT scan evaluation. Forensic Sci Int. 2012 Oct 10;222(1-3):398.e1-398.e9. [PubMed | DOI]
12. Torimitsu S, Makino Y, Saitoh H, et al. Stature estimation from skull measurements using multidetector computed tomographic images: A Japanese forensic sample. Leg Med (Tokyo). 2016 Jan;18:75-80. [PubMed | DOI]
13. Raghavendra Babu Y, Kanchan T, Attiku Y, et al. Sex estimation from foramen magnum dimensions in an Indian population. J Forensic Leg Med. 2012 Apr;19(3):162-167. [PubMed | DOI]
14. Kanchan T, Gupta A, Krishan K. Estimation of sex from mastoid triangle – A craniometric analysis. J Forensic Leg Med. 2013 Oct;20(7):855-860. [PubMed | DOI]
15. Jagadish Rao P, Sowmya J, Yoganarasimha K, et al. Estimation of stature from cranial sutures in a South Indian male population. Int J Legal Med. 2009 May;123(3):271-276. [PubMed | DOI]
16. F. Introna Jr., G. Di Vella, S. Petrachi. Determination of height in life using multiple regression of skull parameters, Boll Soc Ital Biol Sper. 1993 Mar;69:153–160. [PubMed]
17. Chiba M, Terazawa K. Estimation of stature from somatometry of skull. Forensic Sci Int. 1998 Nov;97(2-3):87-92. [PubMed | DOI]
I. Ryan, M.A. Bidmos. Skeletal height reconstruction from measurements of the skull in indigenous South Africans, Forensic Sci Int. 2007 Mar 22;167:16–21. [PubMed | DOI]
18. Krishan K. Estimation of stature from cephalo-facial anthropometry in north Indian population. Forensic Sci Int. 2008 Oct 25;181(1-3):52.e1-52.e6. [PubMed | DOI]
19. Krishan K, Kumar R. Determination of stature from cephalo-facial dimensions in a North Indian population. Leg Med (Tokyo). 2007 May;9(3):128-133. [PubMed | DOI]
20. Pelin C, Zağyapan R, Yazıcı C, et al. Body Height Estimation from Head and Face Dimensions: A Different Method. J Forensic Sci. 2010 Sep;55(5):1326-1330. [PubMed | DOI]
21. Sahni D, Jit I, Neelam, et al. Time of closure of cranial sutures in northwest Indian adults. Forensic Sci Int. 2005 Mar 10;148(2-3):199-205. [PubMed | DOI]
22. Shrestha R, Shrestha P, Wasti H, et al. Craniometric analysis for estimation of stature in Nepalese population-A study on an autopsy sample. Forensic Sci Int. 2015 Mar;248:187.e1-187.e6. [PubMed | DOI]
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