Stature estimation from foot length using universal regression formula in a North Indian population

Tanuj Kanchan, Ritesh G. Menezes, Rohan Moudgil, Ramneet Kaur, M. S. Kotian, Rakesh K. Garg

Research output: Contribution to journalArticle

40 Citations (Scopus)


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 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. 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.

Original languageEnglish
Pages (from-to)163-166
Number of pages4
JournalJournal of Forensic Sciences
Issue number1
Publication statusPublished - 01-01-2010


All Science Journal Classification (ASJC) codes

  • Pathology and Forensic Medicine
  • Genetics

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