Literature DB >> 18439606

An assessment of sex using the skull of black South Africans by discriminant function analysis.

M R Dayal1, M A Spocter, M A Bidmos.   

Abstract

The derivation of discriminant function equations for skeletal elements of South African populations continues to be an area of interest to both forensic anthropologists and skeletal biologists alike. The skull of black South Africans has previously been subjected to discriminant function analysis, using four measurements and two indices; however, no equations were derived to address the issue of sex determination. Recently Franklin, Freedman and Milne [2005. Sexual dimorphism and discriminant function sexing in indigenous South African crania. HOMO J. Comp. Hum. Biol. 55, 213-228] used the crania of black South Africans, in a three-dimensional approach, with eight linear measurements to investigate sex determination. This study, although valuable, requires the use of highly technical and expensive morphometric equipment that renders it less feasible in South Africa. In response to this, our study uses traditional anthropometric measurements and equipment to address the question of sex determination from the crania and mandible of blacks. One hundred and twenty non-pathological skulls were randomly selected from the Raymond Dart Collection of Human Skeletons, equally distributed by sex and belonging to individuals whose age at death ranges between 25 and 70 years. Fourteen cranial and six mandibular measurements were subjected to discriminant function analyses and discriminant function equations were derived for sex determination. Average accuracies ranged between 80% and 85% and were on par with that obtained in previous studies. Our study shows that traditional methods provide average accuracies that are comparable to those obtained using more complex techniques.

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Mesh:

Year:  2008        PMID: 18439606     DOI: 10.1016/j.jchb.2007.01.001

Source DB:  PubMed          Journal:  Homo        ISSN: 0018-442X


  21 in total

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2.  Investigation on the utility of permanent maxillary molar cusp areas for sex estimation.

Authors:  P James Macaluso
Journal:  Forensic Sci Med Pathol       Date:  2010-11-16       Impact factor: 2.007

3.  Craniometric study for sex determination in a Thai population.

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Journal:  Anat Cell Biol       Date:  2015-12-21

4.  Machine learning approaches for sex estimation using cranial measurements.

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Journal:  Int J Legal Med       Date:  2020-11-11       Impact factor: 2.686

5.  Accuracies of discriminant function equations for sex estimation using long bones of upper extremities.

Authors:  Mubarak A Bidmos; Pedzisai Mazengenya
Journal:  Int J Legal Med       Date:  2020-11-11       Impact factor: 2.686

6.  Discriminant analysis of mandibular measurements for the estimation of sex in a modern Brazilian sample.

Authors:  Thais Torralbo Lopez-Capp; Christopher Rynn; Caroline Wilkinson; Luiz Airton Saavedra de Paiva; Edgard Michel-Crosato; Maria Gabriela Haye Biazevic
Journal:  Int J Legal Med       Date:  2017-09-26       Impact factor: 2.686

7.  Sex determination of a Tunisian population by CT scan analysis of the skull.

Authors:  Malek Zaafrane; Mehdi Ben Khelil; Ines Naccache; Ekbel Ezzedine; Frédéric Savall; Norbert Telmon; Najla Mnif; Moncef Hamdoun
Journal:  Int J Legal Med       Date:  2017-09-21       Impact factor: 2.686

8.  Sex estimation in the cranium and mandible: a multislice computed tomography (MSCT) study using anthropometric and geometric morphometry methods.

Authors:  Claudia Gillet; Leonor Costa-Mendes; Camille Rérolle; Norbert Telmon; Delphine Maret; Frédéric Savall
Journal:  Int J Legal Med       Date:  2020-01-02       Impact factor: 2.686

9.  Sex determination of human mandible using metrical parameters.

Authors:  Vinay G; Mangala Gowri S R; Anbalagan J
Journal:  J Clin Diagn Res       Date:  2013-12-15

10.  A comprehensive morphometric analysis of crista galli for sex determination with a novel morphological classification on computed tomography images.

Authors:  Erdal Komut; Murat Golpinar
Journal:  Surg Radiol Anat       Date:  2021-07-10       Impact factor: 1.246

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