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Sexual dimorphism and regional variation in human frontal bone inclination measured via digital 3D models
National Board Forens Med, Department Forens Med, Artillerigatan 12, S-58758 Linkoping, Sweden; Rijeka University, Croatia.
Mercyhurst University, PA 16546 USA; Des Moines University, IA 50312 USA.
Smithsonian Institute, DC 20560 USA.
University of Freiburg, Germany.
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2017 (English)In: Legal Medicine, ISSN 1344-6223, E-ISSN 1873-4162, Vol. 29, p. 53-61Article in journal (Refereed) Published
Abstract [en]

The frontal bone is one of the most sexually dimorphic elements of the human skull, due to features such as the glabella, frontal eminences, and frontal inclination. While glabella is frequently evaluated in procedures to estimate sex in unknown human skeletal remains, frontal inclination has received less attention. In this study we present a straightforward, quick, and reproducible method for measuring frontal inclination angles from glabella and supraglabella. Using a sample of 413 human crania from four different populations (U.S. Whites, U.S. Blacks, Portuguese, and Chinese), we test the usefulness of the inclination angles for sex estimation and compare their performance to traditional methods of frontal inclination assessment. Accuracy rates in the range 75-81% were achieved for the U.S. White, U.S. Black, and Portuguese groups. For Chinese the overall accuracy was lower, i.e. 66%. Although some regional variation was observed, a cut-off value of 78.2 for glabellar inclination angles separates female and male crania from all studied populations with good accuracy. As inclination angles measured from glabella captures two sexually dimorphic features (i.e. glabellar prominence and frontal inclination) in a single measure, the observed clear male/female difference is not unexpected. Being continuous variables, inclination angles are suitable for use in statistical methods for sex estimations.

Place, publisher, year, edition, pages
ELSEVIER IRELAND LTD , 2017. Vol. 29, p. 53-61
Keywords [en]
Forensic anthropology; Digital morphometrics; Population data; Sex estimation; Cranial morphology; Craniometrics
National Category
Medical Genetics
Identifiers
URN: urn:nbn:se:liu:diva-144160DOI: 10.1016/j.legalmed.2017.10.001ISI: 000418203800011PubMedID: 29073532OAI: oai:DiVA.org:liu-144160DiVA, id: diva2:1171788
Note

Funding Agencies|Ax:son Johnson foundation

Available from: 2018-01-08 Created: 2018-01-08 Last updated: 2018-01-13

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
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  • sv-SE
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Output format
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