Abstract
Background and Objectives: Identification of the sex of an individual is important in determining, the identity from the available parts of skeleton. Aims: To derive a logistical regression formula for sex determination of Indian population, using dimensions of scapula. Materials and Methods: Thirty one adult scapulae (20 males and 11 females) were used in the study. Scapulae were measured in millimetre for MSH, MSB, GCH and GCB with the help of the sliding calliper. The logistical regression equation was derived from these measurements. Results: Among all parameters, MSB found to be most significant ( P ≤ 0.001). For the regression equation incorporating all for Scapular dimensions, the logistic regression score (Y) is calculated as follow: Y = (-0.246*MSH) + (0.122*MSB) + (-0.486*GCH) + (-0.034*GCB) +35.356. Conclusion: The results of this study are very useful for sex determination in medicolegal cases where the skulls and pelvic bones are damaged or not available. In this study, population specific logistic regression formula is derived by combination of parameters, which can be helpful for sex determination in Indian populations.
Highlights
Background and ObjectivesIdentification of the sex of an individual is important in determining, the identity from the available parts of skeleton
Following parameters of scapula were measured with the help of sliding calliper
There was a highly significant difference (P < 0.001) between male and female for the mean value of all measurements except GCB. It indicates the existence of strong sexual dimorphism in scapula
Summary
Background and ObjectivesIdentification of the sex of an individual is important in determining, the identity from the available parts of skeleton. Aims: To derive a logistical regression formula for sex determination of Indian population, using dimensions of scapula. Scapulae were measured in millimetre for MSH, MSB, GCH and GCB with the help of the sliding calliper. The logistical regression equation was derived from these measurements. Results: Among all parameters, MSB found to be most significant (P ≤ 0.001). For the regression equation incorporating all for Scapular dimensions, the logistic regression score (Y) is calculated as follow: Y = (–0.246*MSH) + (0.122*MSB) + (–0.486*GCH) + (–0.034*GCB) +35.356. Conclusion: The results of this study are very useful for sex determination in medicolegal cases where the skulls and pelvic bones are damaged or not available. Population specific logistic regression formula is derived by combination of parameters, which can be helpful for sex determination in Indian populations
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