Title of article
Estimation of Stature from the Anthropometric Measurement of Lower Limb in Iranian Adults
Author/Authors
Moshkdanian، Ghazaleh نويسنده Department of Anatomy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. Moshkdanian, Ghazaleh , Mahaki Zadeh، Simin نويسنده Department of Anatomy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. Mahaki Zadeh, Simin , Moghani-Ghoroghi، Fatemeh نويسنده PhD Student of Anatomy, Tehran University of Medical Sciences, Tehran, Iran Moghani-Ghoroghi, Fatemeh , Mokhtari، Tahmineh نويسنده Department of Anatomy, Tehran University of Medical Sciences, Tehran, IR Iran , , Hassanzadeh، Gholamreza نويسنده Anatomy Department, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran ,
Issue Information
فصلنامه با شماره پیاپی 7 سال 2014
Pages
6
From page
149
To page
154
Abstract
Introduction: Estimation of stature is one of the most important fields in forensic medicine.
Also it is of particular interest to anthropologists and anatomist. Our aim was to investigate the
relationship between stature and the length of lower limb and foot to derive a regression formula
for estimating the stature. Methods: Three anthropometric measurements; Stature, Lower Limb Length (LLL) and Foot
Length (FL) were taken on the subjects, comprising 142 male students (18-25 years) using
standard measuring instruments. The data were analyzed using SPSS 16. Then linear regression
models were used to estimate stature. Results: The results indicated a positive correlation between stature and lower limb and foot
measurements. The correlation coefficient with lower limb length was r=0.89 & P=0.0001 and
with foot length was r=0.78 & P=0.0001. Conclusion: There was a significant correlation between stature and lower limb and foot length.
As the regression analysis showed, the Lower Limb Length provides better prediction of stature
rather than Foot length measurements.
Journal title
Anatomical Sciences Journal
Serial Year
2014
Journal title
Anatomical Sciences Journal
Record number
2397174
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