1Associate Professor, Department of Forensic Medicine, Lokmanya Tilak Municipal Medical College and Hospital, Mumbai
2Professor (Addl), Department of Forensic Medicine, KEM Hospital and Seth GS Medical College, Mumbai
3Prof & Head, Department of Agadtantra, Ayurvidya Prasarak Mandal’s Ayurved Mahavidyalaya & Seth R. V. Ayurved Hospital, Mumbai
*Corresponding Author: Dr. Suryabhan S. Dongare, Prof & Head, Department of Agadtantra, Ayurvidya Prasarak Mandal’s Ayurved Mahavidyalaya & Seth R. V. Ayurved Hospital, Mumbai, E-mail: sspfmt7@gmail.com, Contact : +91-9136667077
Online Published on 10 September, 2024.
Accurate investigation of stature helps establish an individual’s identity in medicolegal investigations using mutilated body remains. Instead, the body mass index (BMI) is a straightforward measure of the weight-for–height ratio that is applicable throughout human lifespan. In addition, waist circumference can be utilized for determination of identity of persons from the parts of dead bodies.
The present study was conducted in the Department of Agadtantra, Ayurvidya Prasarak Mandal’s Ayurved Mahavidyalaya & Seth R.V. Ayurved Hospital, Mumbai, Maharashtra, India. The duration of the study was for two years from June 2015 to June 2017. Total number of the subjects were 255 students comprising of 54 males and 201 females of age between 17 to 24 years. Measurements of stature, weight, waist circumference and BMI of all the subjects was done.
The present study includes a total of 255 participants comprising of 54 (21.18%) males and 201 (78.82%) females. Single linear regressions were utilized to assess the association of waist circumference with stature, weight and body mass index for males and females separately.
The significance of the association was highest to determine weight followed by BMI and Stature from waist circumference. Correlation coefficient was least for ascertaining stature from waist circumference especially in females which was having very weak correlation.
Association, Waist Circumference, BMI, Identification, Regression