Prediction of Stature with Regression Equation and Multiplication Factor using Foot Length in Adults: A Comparative Study

Abstract

Introduction: Stature estimation is important in medicolegal investigations and anthropological studies. Regression equation and multiplication factor are used for estimation of stature from body segment. The objective of this study is to find out any significant difference exists between the regression equation and multiplication factor estimates using right foot length in predicting the stature. Material and methods:A total of 619 study subjects that included both males and females with age ranged from 18 to 59 years were selected for estimation of stature. Simple regression equation and multiplication factor were formulated from RFL. They were used for estimation of stature of both male and female study subjects separately. Then both the methods were analyzed for their accuracy and to find out any difference between them.Results: It was statistically significant for multiplication factor when compared with regression equation for determining stature from RFL in males (p=0.018) and females (p=0.002). Conclusion:The present study found that multiplication factor was better than regression equation in determining stature from RFL in both sexes among population in Chennai region.