• 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