Stature and Sex Estimation Using Foot Measurements

Abstract

The aim of this study is to develop formulae for stature and sex estimation through foot length and foot width in major races of Malaysia. A total of 150 subjects (75 males and 75 females) ranging in age from 20 to 30 years were taken from Universiti Kebangsaan Malaysia Kampus Kuala Lumpur (UKMKKL). Statistical analysis indicated that bilateral variation was insignificant for all the foot measurements. Sex differences were found to be highly significant for all the measurements. For races stature was higher significantly in Chinese than Malay but no significant differences were found in all the foot measurements. The highest correlation was found between stature and foot length in all groups. Linear and Multiple Regression Analysis were used for stature estimation. The correlation coefficients between stature and all the foot measurements were found to be positive and statistically significant. Estimation of stature was found to be the most accurate by Multiple Regression Analysis. Formulae for sex estimation were obtained by using Classification Tree. Sex estimation formulae can help to determine the sex with 86.3% -87.5% in females and 85.2% -85.7% in males by using foot length while 68.4% -76.8% in females and 77.8% -81.0% in males by using foot width.