title: A study of the anthropometric correlations between upper limb measurements for personal identification in Sudanese population.
abstract: The presence of multiple isolated commingled fleshed limbs or limb parts generates a significant challenge for forensic investigators in wars, mass disasters, and criminal assaults in the process of identification. Although upper limb measurements have been used to establish individual identity in terms of sex and stature with high success, there is a scarcity of data concerning the correlations within upper limb parts. Hence, this study aims to assess the relationships within upper limb parts and develop regression formulae to reconstruct the parts from one another. The study participants were 376 Sudanese adults (187 males and 189 females). The results of this study indicated significant sexual dimorphism for all variables. The results indicated a significant correlation within the upper limb parts. Linear and multiple regression equations were developed to reconstruct the upper limb parts in the presence of a single or multiple dimension(s) from the identical limb. Multiple regression equations generated better reconstructions than simple equations. These results are significant in forensics and orthopedic reconstructive surgery.
authors.affiliation: Department of Basic Medical Sciences, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Mail Code: 3127, P.O. Box 3660, Riyadh 11481, Saudi Arabia; Anatomy Department, Faculty of Medicine, University of Khartoum, P.O. Box 102, Khartoum, Sudan. Electronic address: drahmedal@gmail.com.
authors.forename: A A
authors.initials: AA
authors.lastname: Ahmed
mesh_terms: D000328:Adult; D000886:Anthropometry / Q000379:methods*; D001132:Arm / Q000033:anatomy & histology; D044383:Black People / Q000706:statistics & numerical data*; D005260:Female; D044707:Forensic Sciences / Q000379:methods* / Q000592:standards; D006225:Hand / Q000033:anatomy & histology; D006801:Humans; D008297:Male; D011996:Records / Q000706:statistics & numerical data*; D012044:Regression Analysis; D012737:Sex Factors; D013397:Sudan; D014457:Ulna / Q000033:anatomy & histology; D034941:Upper Extremity / Q000033:anatomy & histology*; D014953:Wrist / Q000033:anatomy & histology