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Indian Journal of Forensic Medicine and Pathology

Volume  10, Issue 2, April - June 2017, Pages 53-58
 

Original Article

Estimation of Stature by Per-Cutaneous Measurements of Distal Half of the Upper Limb

Karukuri Rajesham*, Nishat Ahmed Sheikh**

*Assistant Professor of Forensic Medicine, Chalmeda Anandrao Institute of Medical Sciences, Bommakal, Karimnagar-505001, Telangana, India. **Professor & Head of Forensic Medicine, Jaipur National University, Institute for Medical Sciences and Research Center, Jaipur-302017, Rajasthan, India.

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DOI: http://dx.doi.org/10.21088/ijfmp.0974.3383.10217.10

Abstract

Background: Stature of a person is one of the vital parts of identification. Assessment of height from different parts of the body by anthropometric study of skeleton is an area of interest to anatomist, anthropologist and forensic experts. Objective: This study aims to find the relationship between stature and forearm lengths and set regression equations for estimation of stature from radius and ulna length for Telangana population. Study Design: Descriptive cross sectional study. Material and Method: In the present study, stature and per cutaneous Forearm length measurements of 164 college students of ages 19- 27 years were done. The data for the present work was collected from the various senior secondary schools and colleges of Karimnagar area of Karimnagar District of Telangana State of India. Observation and Discussion: In the present study, regression equations have been formulated with the standard error of estimate (SEE) ranging from ±5.1892 cm to ± 5.5292 cm. For females the standard error of the estimation is observed in Left Ulna length (SEE = ± 5.1311 cm) and the Left radial length (SEE = ± 5.1092cm). For Males the standard error of the estimation is observed in Left Ulna Length (SEE = ± 5.5292 cm) and the Right radial length (SEE = ± 5.4395 cm). Conclusion: The Multiple regression equations provide slightly better results than the linear regression equations. The results in the present study indicate that the length of forearm can be efficiently used for stature estimation.

Keywords: Per-Cutaneous Forearm Length; Forensic Anthropology; Stature; Multiple Regression Analysis.


Corresponding Author : Nishat Ahmed Sheikh, Professor and Head, Department of Forensic Medicine, Jaipur National University, Institute for Medical Sciences and Research Center, Jaipur-302017, Rajasthan, India.