Research Paper: Stature Estimation Based on Fingers Anthropometry in Iranian Population

Authors

  • Gholamreza Hassanzadeh Department of Anatomy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Ibrahim Mohammed Department of Anatomy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Leila Noori Department of Anatomy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Mehrnoush Malekzadeh Department of Anatomy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Sahar Ijaz Department of Anatomy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Shokoofeh Kazemzadeh Department of Anatomy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Sina Mojaverrostami Department of Anatomy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Tahmineh Mokhtari Research Center of Stem Cells in the Nervous System, Semnan University of Medical Sciences, Semnan, Iran.
Abstract:

Introduction: The stature is one of the determinant factors to identify a person. We investigated the possibility of predicting stature based on Fingers Length in Iranians. Methods: We studied 195 healthy Iranian students (97 females and 98 males) of Tehran University of Medical Sciences. The correlation between stature and fingers anthropometric measurements was investigated and equations for stature prediction were demonstrated by linear regression analysis.  Results: According to the obtained results, males had higher mean values in each anthropometric measurement, compared to females. Third Finger Length (3rd FL) indicated higher correlation coefficients with stature in both genders. Regression analysis suggested a lower Standard Error of Estimate (SEE) in females (±4.91-5.60 cm), than males (±5.87-6.74 cm). Conclusion: 3rd FL provides a better prediction of stature among the lengths of fingers in both genders.

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Journal title

volume 14  issue 4

pages  163- 168

publication date 2017-11

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