Literature DB >> 15901119

Patella measurements of South African whites as sex assessors.

M A Bidmos1, N Steinberg, K L Kuykendall.   

Abstract

This study uses metrical characteristics of the patella to derive population specific equations for sex determination in South Africa. Six measurements were taken from 120 normal and undamaged left patellae in a sample of known race, equally distributed by sex, obtained from the Raymond A Dart collection of human skeletons. These data were subjected to discriminant analysis. Maximum height and maximum breadth were selected in the stepwise analysis with an average accuracy of 83% in correct sex classification. Four functions were derived from the direct analysis with a range of average accuracy between 77% and 85%. While most individual variables showed high misclassification rates and may not be useful on their own, maximum height and maximum breadth have an average accuracy of 85 and 79%, respectively.

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Year:  2005        PMID: 15901119     DOI: 10.1016/j.jchb.2004.10.002

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


  5 in total

1.  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

2.  Evaluation of the age and gender related changes in the Blumensaat line.

Authors:  Erdem Değirmenci; İstemi Yücel; Kutay Engin Özturan; Zekeriya Okan Karaduman; Erkut Karaca
Journal:  Surg Radiol Anat       Date:  2019-09-16       Impact factor: 1.246

3.  In vivo magnetic resonance imaging morphometry of the patella bone in South Indian population.

Authors:  Reshma Muhamed; Vasudha V Saralaya; B V Murlimanju; Ganesh Kumar Chettiar
Journal:  Anat Cell Biol       Date:  2017-06-27

4.  Towards a new osteometric method for sexing ancient cremated human remains. Analysis of Late Bronze Age and Iron Age samples from Italy with gendered grave goods.

Authors:  Claudio Cavazzuti; Benedetta Bresadola; Chiara d'Innocenzo; Stella Interlando; Alessandra Sperduti
Journal:  PLoS One       Date:  2019-01-30       Impact factor: 3.240

5.  Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables.

Authors:  Efthymia Nikita; Panos Nikitas
Journal:  Int J Legal Med       Date:  2019-08-23       Impact factor: 2.686

  5 in total

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