title: Determination of male age at death in Chinese Han population: using quantitative variables statistical analysis from pubic bones.
abstract: Determination of age at death by skeletal features is difficult, but important, both in forensic and physical anthropology. Pubic symphysis is a widely accepted morphological indicator, which provides the best result for personal age identification. Age prediction in this study used nine indicators of morphological changes, viz: ridges and furrows on the symphysial surface, ridge of pubic tubercle, lower extremity, ventral beveling, ossific nodules, dorsal margin, ventral rampart, general macroscopic changes of symphysial surface, and bone density of the symphysial surface. Samples were drawn from 262 male individuals. The study procedures are as follows: Firstly, we examined the morphological features of pubic symphysis using criteria similar to Hanihara's and Suchey-Brooks (SB). Secondly, we evaluated each stage with an appropriate score. Thirdly, we deduced four equations of male age assessment of morphological features by statistic analysis. The results were compared with Hanihara's and Suchey-Brooks method; the similarities and differences among them were discussed objectively. The method produced consistent results as well as developing the criteria of Hanihara's and Suchey-Brooks'.
authors.affiliation: Department of Forensic Sciences, Medical School of Soochow University, Suzhou, 215123 Jiangsu, China. x.p.chen1@163.com
authors.forename: Xiping
authors.initials: X
authors.lastname: Chen
authors.forename: Zhongyao
authors.initials: Z
authors.lastname: Zhang
authors.forename: Luyang
authors.initials: L
authors.lastname: Tao
mesh_terms: D000293:Adolescent; D000328:Adult; D000365:Age Determination by Skeleton / Q000379:methods*; D000368:Aged; D015519:Bone Density; D005006:Ethnicity; D018732:Forensic Anthropology / Q000379:methods*; D006801:Humans; D008297:Male; D008875:Middle Aged; D011630:Pubic Bone / Q000033:anatomy & histology*; D011631:Pubic Symphysis / Q000033:anatomy & histology*; D012044:Regression Analysis