Correlation of Stature to Arm Span and Biacromial Shoulder Width in Young Adults of Western Indian Population

Introduction: Anthropometry refers to the science dealing with the systemic measurements of the human individual used for identification, to understand human physical variation. Interand intrapopulation variations can be observed in relation to anthropometric measurements due to factors, such as genetic makeup, age, gender, and ethnicity. Materials and methods: This is a cross-sectional study using young adult students of age group 17 to 24 years. Participants enrolled after due consent, and stature, arm span (AS), and biacromial shoulder width (BSW) were measured using standard anthropometric techniques. Pearson’s coefficients of correlation and regression equations were calculated using Statistical Package for the Social Sciences statistical package between stature and the two anthropometric variables. Results: There were a total of 255 participants including 54 (21.18%) males and 201 (78.82%) females. Regression equation for estimation of stature from AS is S = 0.779 AS + 34.75, and from BSW is S = 2.940 BSW + 39.32. Regression equation for estimation of stature from AS in males is S = 0.686 AS + 50.56, and in females is S = 0.779 AS + 34.75. Regression equation for estimation of stature from BSW in males is S = 2.071 BSW + 75.57, and in females is S = 2.940 BSW + 39.32. Conclusion: The proposed regression equations presented here will simplify the task of stature estimation for adults in clinical forensic casework or as aids in identification in criminal investigation in endogenous population.