Article Access statistics

Viewed: 605

Emailed: 0

PDF Downloaded: 168

IP International Journal of Forensic Medicine and Toxicological Sciences


Estimation of stature from arm span using regression equation in Dehradun region


Full Text PDF Share on Facebook Share on Twitter


Original Article

Author Details : Jyoti Jyoti, Rattan Singh*

Volume : 4, Issue : 2, Year : 2019

Article Page : 56-59

https://10.18231/j.ijfmts.2019.013



Suggest article by email

Abstract

Background: Stature can be easily estimated using various anthropometric parameters like arm span, facial dimensions, foot length and breadth, vertebral column length etc. Among these, arm span has been proven to be one of the most reliable predictors.
Materials and Methods: The study was conducted in Shridev Suman Subharti Medical College, Dehradun among a total of 100 healthy subjects (17-25 years), comprising 50 males and 50 females. Those with history of any fracture involving long bones or presence of any spinal deformity were excluded from the study. Stature and arm span was measured directly using anthropometric technique and measuring tape. The correlation between stature and arm span was determined and regression equations were calculated for stature estimation.
Observations and Result: There was a strong positive correlation between mean height and arm span in total subjects as well as in both sexes which showed statistical significance. (r=0.826 for male, r=0.750 for female; p<0>
Conclusion: Stature has a very high, positive correlation with arm span; regression equation can be easily calculated using these variables which can be used as a potential parameter in identification.

Keywords: Stature, Arm span, Identification.


How to cite : Jyoti J, Singh R, Estimation of stature from arm span using regression equation in Dehradun region. IP Int J Forensic Med Toxicol Sci 2019;4(2):56-59

Copyright © 2019 by author(s) and IP Int J Forensic Med Toxicol Sci. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License (creativecommons.org)