| The efficacy of sternal measurements for sex estimation in South African blacks. | |
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MedLine Citation:
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PMID: 20696541 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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The correct assessment of sex from the human skeleton is of fundamental importance in forensic medicine and bioarchaeology. In South Africa, unidentified remains are often fragmentary, making it necessary to estimate sex from a variety of skeletal elements. The purpose of the present study was to evaluate the sex discriminating potential of the sternum in black South Africans using standard osteometric techniques. A sample of 123 males and 83 females drawn from the Raymond A. Dart Collection of Human Skeletons and the Pretoria Bone Collection was used. The results demonstrated that all eight sternal variables, including both dimensions and indices, were highly sexually dimorphic in this population. A stepwise discriminant function procedure, which selected corpus sterni length and manubrium width, correctly identified 86.4% of the individuals in the study sample. Additional multivariate discriminant equations incorporating dimensions for either the manubrium or corpus sterni yielded sex prediction rates of 80.6% and 84.5%, respectively. Sternal area, when used in isolation, produced the highest sex classification accuracy with 86.9% of specimens correctly assigned. The remaining single variable functions, which can be applied when well-preserved or complete sterna are not available for analysis, provided classification accuracies ranging from 68.4% to 83.5%. These classification results are comparable to those reported in previous investigations concerning sex estimation of black South Africans for other postcranial elements. |
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Authors:
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P James Macaluso |
Publication Detail:
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Type: Journal Article Date: 2010-08-08 |
Journal Detail:
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Title: Forensic science international Volume: 202 ISSN: 1872-6283 ISO Abbreviation: Forensic Sci. Int. Publication Date: 2010 Oct |
Date Detail:
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Created Date: 2010-09-14 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7902034 Medline TA: Forensic Sci Int Country: Ireland |
Other Details:
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Languages: eng Pagination: 111.e1-7 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Elsevier Ireland Ltd. All rights reserved. |
Affiliation:
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Department of Anthropology, Binghamton University (SUNY), PO Box 6000, Binghamton, NY 13902-6000, USA. p.james.macaluso@hotmail.com |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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