Microscopic Age Estimation From the Anterior Cortex of the Femur in Korean Adults

• NCJ Number: 226884
• Journal: Journal of Forensic Sciences Volume: 54 Issue: 3 Dated: May 2009 Pages: 519-522
• Author(s): Seung-Ho Han M.D., Ph.D.; Sang-Hyun Kim M.S.; Yong-Woo Ahn D.D.S., Ph.D.; Gi-Yeong Huh M.D., Ph.D.; Dai-Soon Kwak Ph.D.; Dae-Kyoon Park M.D., Ph.D.; U-Young Lee M.D.; Yi-Suk Kim M.D., Ph.D.
• Date Published: May 2009
• Length: 4 pages
• Grant Number(s): KRF-2006-331-E00011
• Sponsoring Agency: Korea Research Foundation
• Publication Format: Article
• Publication Type: Report (Study/Research)
• Language: English
• Country: United States of America

Annotation

This study developed age-predicting equations from the anterior cortex of the femur of Korean adults.

Abstract

Femoral specimens were obtained from 72 cadavers (44 males and 28 females) from the Department of Anatomy of Gachon University (Incheon) and the Catholic University of Korea (Seoul). None of the femurs were from individuals who had died from a primary bone disease or that involved the subject being bedridden for an extended period prior to death. The histomorphological variables were averaged over five areas for each individual, and statistical analysis was performed using spss 13.0 (SPSS, Inc., Chicago, IL). An ANCOVA with Wilks’ lambda was performed to test the hypothesis that sex (fixed factor) and age (covariate) have a significant effect on the histomorphological variables (dependent variables). Variance between the sexes was determined with Levene’s test, and all variables satisfied the assumption of equal variance (p>0.05). Standard linear regression (entered model) analysis and multivariate linear regression (stepwise model) analysis were performed to derive the age-predicting equations for Korean adults. In the stepwise regression analysis, after a full model was fitted to the data, a combination of forward selection and backward elimination procedures was used within the statistical algorithm. 6 tables and 21 references