Multiplication factor versus regression analysis in stature estimation from hand and foot dimensions

• Published in: Journal of forensic and legal medicine 2012-05, Vol.19 (4), p.211-214
• Main Authors: Krishan, Kewal, MSc, PhD, Kanchan, Tanuj, MD, Sharma, Abhilasha, MSc
• Format: Article
• Language: English
• Subjects: Adolescent; Adult; Body Height; Discriminant analysis; Feet; Female; Foot - anatomy & histology; Forensic Anthropology; Forensic medicine; Hand - anatomy & histology; Hands; Humans; Male; Mathematical Concepts; Methods of stature estimation; Multiplication factor method; Parameter estimation; Pathology; Personal identification; Regression Analysis; Regression analysis method; Reproducibility of Results; Young Adult
• ISSN: 1752-928X; 1878-7487
• DOI: 10.1016/j.jflm.2011.12.024

Abstract Estimation of stature is an important parameter in identification of human remains in forensic examinations. The present study is aimed to compare the reliability and accuracy of stature estimation and to demonstrate the variability in estimated stature and actual stature using multiplication factor and regression analysis methods. The study is based on a sample of 246 subjects (123 males and 123 females) from North India aged between 17 and 20 years. Four anthropometric measurements; hand length, hand breadth, foot length and foot breadth taken on the left side in each subject were included in the study. Stature was measured using standard anthropometric techniques. Multiplication factors were calculated and linear regression models were derived for estimation of stature from hand and foot dimensions. Derived multiplication factors and regression formula were applied to the hand and foot measurements in the study sample. The estimated stature from the multiplication factors and regression analysis was compared with the actual stature to find the error in estimated stature. The results indicate that the range of error in estimation of stature from regression analysis method is less than that of multiplication factor method thus, confirming that the regression analysis method is better than multiplication factor analysis in stature estimation.