Racheal Osareme Ebukhaile¹*, Lucky Uche Ubulu², Lewis Bamidele Babatunde¹, Obukowho Benson Ichipi³ and Nwachukwu Mike Ibeabuchi¹

¹Department of Anatomy, University of Lagos, Nigeria
²Department of Human Biology, Clinical Anatomy and Biological Anthropology, University of Cape Town, South Africa
³University of KwaZulu-Natal

*Corresponding Author: Racheal Osareme Ebukhaile, Department of Anatomy, University of Lagos, Nigeria.

Received: March 22, 2024; Published: April 22, 2024

Abstract

Sex estimation has a significant bearing on the personal identification of victims of mass disasters or fatal assaults, especially from incomplete or mutilated remains and highly decomposed bodies. The scientific literature on personal identification among adolescents in Africa is limited and sparse in Nigerians. This study aims to formulate a model for sex estimation using the long bones of the upper limb in the adolescent Nigerian population.

Four anthropometric measurements, including humerus length, intercondylar humerus width, ulna length and radius length, were recorded for 483 healthy Nigerian adolescent school children (240 males and 243 females) aged 10 to 17 years.

Independent t-tests showed significant sex differences (p < 0.05) for all the parameters, with males having higher values than females. Regression formulae were developed for each of the parameters. In our logistic regression model, females were better classified, with an overall accuracy of 82.3%. The model presented provides new tools for standardizing sex determination in this population.

 Keywords: Sex Determination; Logistic Regression; Anthropometry; Adolescent Nigerians

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Citation

Citation: Racheal Osareme Ebukhaile., et al. “Logistic Regression Models for Sex Estimation Using Percutaneous Upper Arm and Forearm Anthropometric Dimensions in Adolescent School Children in Southwest Nigeria”.Acta Scientific Medical Sciences 8.5 (2024): 69-75.

Copyright

Copyright: © 2024 Racheal Osareme Ebukhaile., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.