Stature estimates from foot dimensions

Abstract

Identification of an individual is the mainstay in forensic investigations. The dimensions of the foot have been used for the determination of sex, age, and stature of an individual. The present study examines the relationship between stature and foot dimensions among a diverse population group. Stature, foot length and foot breadth of 300 subjects comprising 150 males and 150 females (age range 18-22 years) were measured. Statistical analyses indicated that the bilateral variation was insignificant (p<0.01). Sex differences were found to be highly significant for all the measurements (p<0.01). Linear and multiple regression equations for stature estimation were calculated using the aforementioned variables and multiplication factors were computed. The correlation coefficients between stature and foot dimensions were found to be positive and statistically highly significant. The highest correlation coefficient between stature and foot length in males and foot breadth in females indicates that the foot length provides the highest reliability and accuracy in estimating stature of an unknown male and female. Prediction of stature was found to be most accurate by linear regression analysis.

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