Stature Prediction and Formulation of Regression Equation from Hand and Foot Anthropometry
Keywords:Stature, Anthropometry, Hand length, Foot length, Forensic investigations
Background: Estimation of stature is a key feature of personal identification. Evaluation of stature from
incomplete skeletal and decomposing human remains is particularly important in personal identification for
forensic experts and anthropologists.
Methods: The data was collected from 1000 asymptomatic, healthy adults (500 males and 500 females)
belonging to border areas of Punjab region of age group ranged between 18-50 years.
Results: The comparison of each parameter of the study shows that all parameters have higher values
in males than in females. It is also observed that in males highest correlation is exhibited by Right foot
length(r= .418) and in females it is exhibited by Left Foot Length (r= .354). The calculated linear regression
formulae show good reliability and applicability for stature estimation.
Conclusion: In all parameters the foot length and hand length are better predictors of stature in both sex.
Using regression formulae the height of subject can be easily determined and this will be used as research
tool in anthropological and medicolegal issues.
How to Cite
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Re use and mixing of content policy- We follow Creative Commons Licence Policy. We follow CC BY. Please refer below for all details
This license lets others distribute, remix, adapt, and build upon our work, even commercially, as long as they credit us for the original creation.
- The journal allows readers to read, download, copy, distribute, print, search, or link to the full texts of its articles and allow readers to use them for any other lawful purpose.
- The journal allows the author(s) to hold the copyright without restrictions.
- The journal allows the author(s) to retain publishing rights without restrictions