Stature Estimation from Foot Measurements by Regression Equation in Males of Bhavnagar-Gujarat Patel Tejas C, Prajapati Hardik* Tutor, Dept. of Forensic Medicine and Toxicology, GMERS Medical College and Hospital, Dharpur-Patan (Gujarat) *Corresponding author: Dr Hardik Prajapati Tutor, Dept. of Forensic Medicine and toxicology, GMERS Medical College and Hospital, Dharpur-Patan, Gujarat Mobile: 9725956294, Email: drhardik88@gmail.com
Online published on 5 May, 2018. Abstract Introduction Because time is a critical factor in crime scene investigation, rapid identification of suspects is important. Stature estimation is the important parameter in forensic identification work. Various anthropometry techniques have been used to estimate the stature for long times by using statistical formulae. So, reconstruction of stature from different body parts and the relationship between them is an area of interest to forensic experts, anthropologists and anatomists. Objectives To find out correlation between stature and foot measurements & also derive regression equations for estimation of stature in specific population. Method In present study, total 250 healthy male individuals of 18 to 25 years of age group belongs to Bhavnagar region were selected. All the individuals were measured for foot length & foot breadth separately on right and left side and stature. All the data were subjected to statistical analysis using Microsoft Excel 2007 Software (Data Analysis). Results The present study showed statistically significant and positive correlation between stature and measurements of foot. Stature had statistically significant (p < 0.001) and higher value of correlation(r) as 0.896 for right, left and mean foot length and 0.796, 0.793 and 0.795 for right, left and mean foot breadth respectively. Simple and multiple linear regression equations were derived for specific study population to estimate stature from foot measurements. Interpretation & Conclusion Foot measurements exhibited statistically significant and positive value of correlation with stature. It is also concluded that the multiple regression formulae were the better indicator of stature estimation than simple regression equations. Top Keywords Stature, foot length & breadth, corpus delicti, regression equation. Top |