Résumé
Introduction: Stature can be determined using measurementsof different body parts. Forensic anthropology uses regressionequation for determining stature from body part. The aim ofthe present study is to assess the agreement level betweenactual and estimated stature using regression equation fromright foot length (RFL) among both sexes in Chennai region.Material and methods: In this cross sectional study, 619subjects of both sexes with age ranging from 18 to 59 yearswere studied for determination of stature. Simple regressionequations were formulated from RFL. They were appliedfor determination of stature of an individual of both sexesseparately. Then they were assessed for their agreementbetween actual and estimated stature.Results: The present study found a satisfactory agreementbut not very good agreement between actual and estimatedstature with regression equation from RFL in both sexes.According to the Bland-Altman plot, there was a bias asnegative predicted higher than the actual stature values andfew observations were found moving beyond lower and upperlimits (95% confidence limit).Conclusion: When actual stature cannot be determined,regression equation could be the most appropriate forprediction of stature using foot length in adults.
Résumé
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