TY - JOUR AU - Okolie Emmanuel PY - 2019/12/06 Y2 - 2024/03/28 TI - Height Prediction from Right Ulnar Length among Students of Delta State University, Abraka, South-Southern Nigeria JF - International Journal of Forensic Medical Investigation JA - IJFMI VL - 5 IS - 1 SE - Original Articles DO - UR - https://ijfmi.org/index.php/JSD/article/view/98 AB - Abstract:Context: Estimating height from different parts of the human body has been an area of interest to anatomists, anthropologists and forensic experts. Surface landmarks such as ulnar bone as compared to other bones have made measurements possible in compromised postures; in the estimation of height.Aims: The research aimed at estimating height from the morphometry of the right ulnar bone as well as finding the correlation between height and right ulnar length among students of Delta State University, Abraka.Settings and Design: Simple random sampling was adopted in this cross-sectional study.Methods and Material: A total of 150 participants comprising of 74 males and 76 females who were 18+ were investigated. Measurement was done with a measuring tape; Height from the vertex to the heel in an erect posture; ulnar length from the tip of the olecranon process to the tip of the styloid process.Statistical analysis used: Data were analyzed using the Statistical Package for the Social Sciences 20. Pearson’s correlation coefficient between variables was computed. Significance was accepted a p<0.01.Results: Findings from this study showed that the mean height, right ulnar length also the correlation between height and ulnar length for males was 179.22+18.58; 29.99+1.61; r=0.434 while that of the females was 161.37+ 8.44; 26.20+1.69; r=0.807 respectively. Estimated Height (cm) = Regression constant+ Regression coefficient x Right ulnar length (cm) ± (1.96 x STE).Conclusions: Findings from this study showed that males exhibited a greater correlation between the measured height and ulnar length as compared to the femalesKey-words: Ulnar length; Height; Delta State University; Regression constant; Regression coefficient. ER -