Stature Prediction and Formulation of Regression Equation from Hand and Foot Anthropometry


  • Megha Rapotra
  • Jaswinder Kaur



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.

Author Biographies

Megha Rapotra

Ph.D Scholar, Department of Anatomy, MMU, Mullana , Ambala, Haryana

Jaswinder Kaur

Professor,Department of Anatomy, MMU, Mullana , Ambala, Haryana




How to Cite

Megha Rapotra, & Jaswinder Kaur. (2021). Stature Prediction and Formulation of Regression Equation from Hand and Foot Anthropometry. Indian Journal of Forensic Medicine & Toxicology, 15(4), 1823–1829.