Estimation of Stature from the Sternal Length in American White Population Using Linear Regression Equation: A Preliminary Cadaveric Study

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ObjectiveTo estimate stature from the sternal length in American white population using linear regression equation.RationaleThere is an extensive study to correlate the stature from long bones and sternum in the literature in the Asian continent population. However these studies are sporadic for white and Hispanic American population. In this study we used regression analysis to address the reliability of sternal length for estimation of stature in White American population.Material and MethodsThis preliminary research project was conducted at Touro College of Osteopathic Medicine during the academic year 2018–2019 and 21 female and 14 male cadavers from the Department of Anatomy were used for the study. The research project was approved by the Institutional research committee. Cadavers with any noticeable physical anomaly affecting the stature were excluded from the study. The age and ethnicity of the cadavers were obtained by the departmental records. Stature was measured using a steel tape from Heel to Vertex. After the reflexion of the skin, the length of the sternum was measured from incisura angularis to mesoxiphoid point using a digital Vernier Caliper. Regression equations were derived using SPSS statistical software.ResultsRegression equation for female: Y= 135.039 + (0.146) X where Y= stature and X= length of the sternum. Regression equation for male: Y=141.603 + (0.17) X where Y= stature and X= length of the sternum. The SD was 13.88, 16.21 and P value was 0.18, 0.12 respectively for females and males.ConclusionBased on the calculations and the P value, we concluded that the length of the sternum is not a reliable factor for stature estimation for American white population. Forensic importance of these findings and its comparison with existing literature will be discussed.Support or Funding InformationNAThis abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.