Morphometric analysis of mastoid process for sex determination among Marathwada population
Journal Title: Medpulse International Journal of Anatomy - Year 2017, Vol 1, Issue 2
Abstract
Background: Sexing the human skull and skeletal remains has been an important task of the physical anthropologist, forensic anthropologist and archaeologist. It is achieved by using the knowledge of human anatomy concerning osteology. Mastoid process is one of the most dimorphic bone which remains least damaged due to its anatomical position at the basolateral region of skull. Its size varies; it is larger in male than in females. In present study, an attempt has been made to evaluate the use of mastoid process measurement in the determination of sex in an unidentified skeleton and also to test the accuracy of sex determination using discriminant function analysis. Material and Methods: The present study was carried out in department of Anatomy, Government Medical College, Aurangabad. A total 132 dried adult human skull (80 male, 52 female) of Marathwada region were studied to determine accuracy of mastoid process. The mastoid length, medio-lateral diameter, antero-posterior diameter were measured with vernier caliper to calculate mastoid process index. Also the distance between asterion to mastoidale, asterion to porion, and porion to mastoidale were studied. Results: We observed that, out of seven mastoid variables, except mastoid index the mean of all remaining variables were more in males than that of in females. The difference observed for six mastoid variables was statistically significant (p<0.005) except mastoid index. Discriminant function analysis revealed that the mastoid process correctly classified the sex in 76% of the subjects and mastoid length was found to be an excellent discriminant for sex. A discriminant function equation specific for Marathwada population has also been derived from mastoid process variables. The present study provides a baseline data for sex determination of mastoid process of skull in Marathwada population.
Authors and Affiliations
S B Sukre, P R Chavan, S N Shewale
Keywords
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