Logistic Regression for Sex Determination Using Upper and Lower Limb Measurements Among Dakshina Kannada Population

Arijit Datta, D. Vijay Kautilya, Preeti Tiwari, Prateek Rastogi

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction- In the field of Forensic Anthropology, determination of sex from mutilated or amputated body is considered one of the important parts of identification as it narrows down the search by half. In the limited range of global population, determination of sex from upper and lower limb measurements showed higher accuracy rate. The aim of this study was to access the sex from middle finger length, ring finger length, tibial length and bimalleolar breadth individually and in combination by using logistic regression analysis among 500 males and females of Dakshina Kannada population. Methodology- Observational study was conducted among 249 males and 251 females of Dakshina Kannada population between the age group of 22-40 years. Data were collected and analysed using descriptive analysis and logistic regression equations Results Our study showed variable tibial length was having highest predictive accuracy and bimalleolar breadth was having least predictive accuracy for prediction of sex. Conclusion- It is possible to predict the sex of the individual from the various limb measurements. Tibial length shows high predictive accuracy in sex differentiation compared to other measurements in the study.

Original languageEnglish
Pages (from-to)36-43
Number of pages8
JournalJournal of South India Medicolegal Association
Volume15
Issue number1
Publication statusPublished - 03-2023

All Science Journal Classification (ASJC) codes

  • Pathology and Forensic Medicine

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