Journal of Indian Academy of Forensic Medicine

SCOPUS
  • Year: 2021
  • Volume: 43
  • Issue: 2

Significance of weight for sexual dimorphism of talus bone

  • Author:
  • Tarun Dagar1, Ashish Tyagi2*, Luv Sharma3, Anil Kumar Malik4, Kunal Khanna5
  • Total Page Count: 5
  • Page Number: 140 to 144

1Department of Forensic Medicine, Dr Radhakrishnan Government Medical College & Hospital, Hamirpur, Himachal Pradesh, India

2Department of Forensic Medicine, Shaheed Hasan Khan Mewati Government Medical College, Nalhar, Nuh, Haryana, India

3Department of Forensic Medicine, Pt. B.D. Sharma PGIMSRohtak, Haryana, India

4Department of Forensic Medicine, Gian Sagar Medical College & Hospital, Ram Nagar, Patiala, Punjab

5Department of Forensic Medicine, Kalpana Chawla Government Medical College, Karnal, Haryana, India

*Corresponding Author Dr. Ashish Tyagi (Associate Professor) Email: drashishfm@gmailxom Mobile: +91-8222880085

Online published on 21 March, 2022.

Abstract

The present study aims to determine the sexual dimorphism of talus bone by using weight as a parameter. 100 pair of talus bones of known sex obtained from unknown or unclaimed cadavers brought to the mortuary for autopsy were included in the study. Weight of right talus and left talus of 50 males and 50 females was measured using an electronic weighing scale in this cross-sectional study. All the measurements in male talus were greater than the measurements in female talus bones. Univariate discriminant and logistic regression analyses were conducted on the data to estimate sex from the weight of the talus bone. The overall accuracy came out to be 89% in both sexes (84%-90% in males and 88% - 94% in females). In contrast to Identification and Demarcating points, Limiting point showed maximum classification accuracy in sex determination. Weight of talus bone thus showed statistically significant sexual dimorphism results and can be used to estimate sex along with other parameters

Keywords

Talus bone, Sexual dimorphism, Discriminant analyses, Logistic regression analysis, Weight