Sex predection

Abstract

Aim The determination of sex is one of the most important and crucial steps in identification Sexual dimorphism using odontometric data showed a great diversity depending on the study population which therefore requires data specific to each population The purpose of this study is to establish the degree of dental dimorphism within the population A sample of Senegalese subjects using the Dimodent method described by Fronty et al 1998Material and Methods A total of 104 subjects 52 males and 52 females aged 20 to 60 years were included in this study Mesiodistal and vestibulo diameters linguale of the lateral incisor and the mandibular canine were measured with a digital caliper on plaster models The measurements obtained were integrated into the sexual prediction equation P 1 1 eyY is evaluated based on measurements of mesiodistal and buccolingual diametersThe collected data were analyzed using Microsoft Excel version 2013software The Comparison of the data was made with the Chisquare Xtests2 and Pearson and a significance level p 005 was retainedResults In this study the overall positive prediction rate is 8653 The success rate was higher for men 9038 than for women 8269Conclusion The method used in this study is simple and inexpensive to conduct and therefore can be applied in forensic odontology to establish an individual39s sexual identity Keyword Sex assessment Dimodent equation Mandibular canines Mandibular lateral incisors Forensic odontology

Authors and Affiliations

Soumboundou Sankounq, Toure Babacar, Abess Gazal, Khalifa Dieng, Mamadou Lamine N’diaye

Keywords

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Sex predection

Aim The determination of sex is one of the most important and crucial steps in identification Sexual dimorphism using odontometric data showed a great diversity depending on the study population which therefore requires...

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  • EP ID EP486744
  • DOI 10.18231/2456-9615.2018.0016
  • Views 86
  • Downloads 0

How To Cite

Soumboundou Sankounq, Toure Babacar, Abess Gazal, Khalifa Dieng, Mamadou Lamine N’diaye (2018). Sex predection. IP International Journal of Forensic Medicine and Toxicological Sciences, 3(3), 69-73. https://europub.co.uk/articles/-A-486744