Journal of Punjab Academy of Forensic Medicine & Toxicology
SCOPUS
  • Year: 2024
  • Volume: 24
  • Issue: 2

Anthropometric correlation of odontometric parameters with the stature of a person - A forensic evaluation

  • Author:
  • Sonali Khatri1,*, Shally Gupta2, Anubha Gulati3, Simranjit Singh4
  • Total Page Count: 8
  • Published Online: May 27, 2025
  • Page Number: 51 to 58

1Post Graduate Student Department of Oral and Maxillofacial Pathology and Microbiology, Dr Harvansh Singh Judge Institute of Dental Sciences, Panjab University, Chandigarh, India

2Professor & Head Department of Oral and Maxillofacial Pathology and Microbiology, Dr Harvansh Singh Judge Institute of Dental Sciences, Panjab University, Chandigarh, India

3Associate Professor Department of Oral and Maxillofacial Pathology and Microbiology, Dr Harvansh Singh Judge Institute of Dental Sciences, Panjab University, Chandigarh, India

4Senior Assistant Professor Department of Oral and Maxillofacial Pathology and Microbiology, Dr Harvansh Singh Judge Institute of Dental Sciences, Panjab University, Chandigarh, India

*Corresponding author: Dr. Sonali Khatri, Post Graduate Student Department of Oral and Maxillofacial Pathology and Microbiology, Dr Harvansh Singh Judge Institute of Dental Sciences, Panjab University, Chandigarh, India, E-mail: sonaliviolet@yahoo.com Contact: +919530570720

Online published on 27 May, 2025.

Abstract

Stature, defined as height in an upright position, has established correlations with various bones and bone fragments. This study aimed to explore the anthropometric correlation between odontometric parameters and stature. Given the common origin of teeth and bones as hard tissues, this research sought to establish a correlation between odontometric parameters and stature. The study aimed to devise regression formulas for stature estimation using selected odontometric parameters.

The study involved 162 subjects (82 males and 82 females) aged 18-45 years. A digital Vernier callipers was used on the study models recorded from the subjects’ mouths to record the odontometric parameters, while stature was measured using an anthropometer. Regression equations derived from the first 82 individuals were applied to the remaining 82 to validate the derived equations.

Regression analysis revealed a significant correlation of body height with maxillary intercanine width, mesiodistal width, and cervicoincisal length of maxillary and mandibular canines for the combined group (males and females). Additionally, the labiolingual width of mandibular canines in females significantly correlated with stature.

The derived equations present a promising avenue for stature estimation and warrant further exploration in the interdisciplinary realm of dental and forensic sciences. Encouraging additional research in this field can advance our understanding and application of odontometric parameters in stature calculations of unidentified persons.

Keywords

Forensic, Anthropometric, Regression, Stature