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

Introduction: Stature estimation is important in medicolegalinvestigations and anthropological studies. Regressionequation and multiplication factor are used for estimationof stature from body segment. The objective of this studyis to find out any significant difference exists between theregression equation and multiplication factor estimates usingright foot length in predicting the stature.Material and methods: A total of 619 study subjects thatincluded both males and females with age ranged from 18to 59 years were selected for estimation of stature. Simpleregression equation and multiplication factor were formulatedfrom RFL. They were used for estimation of stature of bothmale and female study subjects separately. Then both themethods were analyzed for their accuracy and to find out anydifference between them.Results: It was statistically significant for multiplication factorwhen compared with regression equation for determiningstature from RFL in males (p=0.018) and females (p=0.002).Conclusion: The present study found that multiplicationfactor was better than regression equation in determiningstature from RFL in both sexes among population in Chennairegion