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Stature Estimation from Foot Length of School Age Group Children

Nishat Ahmed Sheikh** , Perugu Vanishri* , Nishat Ahmed Sheikh**

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Indian Journal of Forensic Medicine and Pathology 10(1):p 11-16, . | DOI: DOI: http://dx.doi.org/10.21088/ijfmp.0974.3383.10117.2
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Abstract

 Background: Stature estimation of an individual from the skeletal material or the mutilated or parts of limbs has obvious significance in the forensic identification analysis. Estimation of stature is considered as one of the main parameters of personal identification. Establishing personal identity is one of the main concerns in forensic investigations. Objective: The current study dealt with developing a regression equation for stature estimation from foot length. Study Design: Cross Sectional study. Place of Study: Department of Forensic medicine, Gandhi Medical College, Secunderabad. Methods: The present study was carried out to establish the regression equation and correlation co­efficient between individual’s height and foot length. It was conducted on the children of age group 9 years to 17 years. 239 subjects were selected irrespective of their caste, religion, dietary habits & socio­economic status. Observation: The mean (+SD) Stature of 239 students was 134.61 + 21.05 cm. The right foot length showed a significant positive correlation (r= .017, p=0.0001s) with the stature. The left foot length also showed a significant positive correlation (r= .024, p= 0.0001s) with the stature. The constant and regression co­efficient value regarding right foot length was 143.97 and 0.123 respectively and left foot length was 144.93 and 0.172 respectively for estimating the stature. Conclusion: The present study has established definite correlation between stature and foot­length and also regression equations have been established. Foot measurements have a strong relationship with stature; hence, the stature of an individual can be successfully estimated from the foot length regression model derived in the study.

Keywords: Foot Length; Stature; Regression Equation.

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  • Nishat Ahmed Sheikh**
    ,
  • Perugu Vanishri*
    ,
  • Nishat Ahmed Sheikh**
    ,
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DOI: DOI: http://dx.doi.org/10.21088/ijfmp.0974.3383.10117.2
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