Determination of Stature from Foot Length in Adults: A Regional Study in Chennai Venkatachalam K S M1,*, Srinivasaragavan N2, Felix A John William3 1Reader & Head in-charge, Department of Forensic Medicine, Rajah Muthiah Medical College, Annamalai University, Chidambaram, Tamilnadu, India 2Professor & Head, Department of Forensic Medicine and Toxicology, ESIC Medical College & PGIMSR, KK Nagar, Chennai, Tamilnadu, India 3Reader, Department of Community Medicine, Rajah Muthiah Medical College, Annamalai University, Chidambaram, Tamilnadu, India *Corresponding Author: K.S.M. Venkatachalam, Reader & Head, Department of Forensic Medicine, Rajah Muthiah Medical College, Annamalai University, Chidambaram, Tamilnadu. E-mail: venkatachalamksm@gmail.com
Online published on 7 May, 2019. Abstract Introduction Stature estimation is important in medico-legal investigations and anthropological studies. Stature can be determined using the measurements of different body parts. Foot anthropometry is found to provide good predictive information about an individual's stature. The aim was to formulate regression equations from foot length for stature estimation of both sexes in Chennai region. Material and Method In this cross sectional study, 619 subjects of both sexes with age ranging from 18 to 59 years of Chennai region were studied for stature and its relevance with that of foot length. Simple regression equations were derived by using two parameters-Right Foot Length (RFL) and Left Foot Length (LFL)-for estimation of stature of an individual for either sex separately. Pearson correlation coefficient (r) was calculated to assess the correlation of stature with foot length. Findings In the present study, we found a significant (p<0.01) positive correlation between stature and foot length in both sexes. Conclusion The present study gives statistically significant positive correlation between stature and foot length. Stature can be successfully and accurately determined in this regional population by applying these regression equations. Top Keywords Stature, Foot length, Regression equations, Forensic anthropometry. Top |