Estimating stature from percutaneous length of tibia and ulna in Indo-Mauritian population

• Published in: Forensic science international Vol. 187; no. 1; pp. 109.e1 - 109.e3
• Main Authors: Agnihotri, Arun Kumar, Kachhwaha, Smita, Jowaheer, Vandna, Singh, Ashok Pratap
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier Ireland Ltd 30.05.2009; Elsevier Limited
• Subjects: Adult; Body Height; Body Weights and Measures - classification; Female; Forensic Anthropology; Forensic Anthropology - methods; Forensic medicine; Forensic Science; Forensic sciences; Humans; Male; Males; Mauritius; Models, Statistical; Pathology; Reference Values; Regression Analysis; Stature estimation; Studies; Tibia - anatomy & histology; Tibia length; Ulna - anatomy & histology; Ulna length; Young Adult; Mauritius; Stature estimation; Forensic Science; Ulna length; Forensic Anthropology; Tibia length
• ISSN: 0379-0738; 1872-6283; 1872-6283
• DOI: 10.1016/j.forsciint.2009.02.010

Stature estimation from percutaneous body measurements forms part of forensic anthropological analysis for the purpose of identification. This study is aimed at modeling the stature on the basis of percutaneous tibial and/or ulnar length in human subjects comprising of Indo-Mauritian population. The study was conducted in the Department of Forensic Medicine and Toxicology, SSR Medical College, Mauritius on 180 young and healthy students comprising of 90 males and 90 females in the age group ranging from 18 to 28 years. The measurements were taken by using standard anthropometric instruments. It is remarked that tibial as well as ulnar length show a linear relationship with the stature, where stature is normally distributed. However, it is required to transform the measurements on stature to obtain appropriate regression equations. Moreover, since ulna and tibia are significantly correlated, it is recommended to use the sum of the ulnar and tibial length to estimate stature, in case both are available for an individual. Our regression models are sufficiently validated and highly efficient.