Stature Estimation from Foot Length Using Universal Regression Formula in a North Indian Population

• NCJ Number: 229701
• Journal: Journal of Forensic Sciences Volume: 55 Issue: 1 Dated: January 2010 Pages: 163-166
• Author(s): Tanuj Kanchan, M.D., D.F.M.; Ritesh G. Menezes, M.D., D.B.N.; Rohan Moudgil, M.Sc; Ramneet Kaur, M.Sc.; M. S. Kotian, M.Sc.; Rakesh K. Garg, Ph.D.
• Date Published: January 2010
• Length: 4 pages
• Publication Format: Article
• Publication Type: Report (Study/Research)
• Language: English
• Country: United States of America

Annotation

This study was carried out in an endogamous group of North India to compare the accuracy of sex-specific regression models for stature estimation from foot length with the models derived when the sex was presumed as unknown.

Abstract

Stature is a significant parameter in establishing identity of an unknown. Conventionally, researchers derive regression formula separately for males and females. Sex, however, may not always be determined accurately, particularly in dismembered remains and thus the need for a universal regression formula for stature estimation irrespective of sex of an individual. The study reveals that regression equation derived for the latter can estimate stature with reasonable accuracy. Thus, stature can be estimated accurately from foot length by regression analysis even when sex remains unknown. 3 figures, 3 tables, and 18 references (Published abstract)