Stature estimation based on cephalic measurements in southwest Iranian population

Document Type : Original research paper


1 Department of Anatomical Sciences, School of Medicine, Abadan University of Medical Sciences, Abadan, Iran

2 Department of Public Health, School of Allied Medical Sciences, Asadabad School of Medical Sciences, Asadabad, Iran

3 Abadan University of Medical Sciences, Abadan, Iran


Introduction: Evaluation the correlation and driving the regression formula between stature and cephalic dimensions when skull remains can be only available for forensic examination has been the target of scientists for many years. Present research was aimed to make cephalic measurements database, suggestion regression formula for stature reconstruction and computation of cephalic index for Lur and Arab population dwelling in southwest of Iran.
Methods: In this cross-sectional analytic study, three cephalic measurements including maximum cephalic length (MCL), maximum cephalic breadth (MCB), maximum auricular head height (MAHH) and total height were taken in 200 healthy students (100 males and 100 females) studying at Abadan Faculty of Medical Sciences aged 18–30 years. Our findings revealed significant gender differences in all the mean cephalic measurements (P≤0.05).
Results: According to prediction final model has been shown that MCB and MAHH are an effective variable in stature estimation. Stature estimation equation for south Iranian males and females is: stature =51.77 + 3.47 MCB + 3.86 MAHH + 0.53 MCL. Computation of cephalic index represented that most of female subjects had mesocephalic (medium headed) and most of male subjects had brachycephalic (short headed) cephalic category.
Conclusion: This study showed significant correlation of cephalic dimensions and stature. The obtained regression formula of this study can be used in medico-legal subjects to diagnose the individual identity of the Iranian corpse.


Articles in Press, Accepted Manuscript
Available Online from 11 December 2022
  • Receive Date: 31 August 2022
  • Revise Date: 26 October 2022
  • Accept Date: 11 December 2022