Metric analysis of the patella for sex estimation in a Portuguese sample

Maio, Cláudia; Cunha, Eugénia; Navega, David

Type de document :

Article dans une revue scientifique: Article original

DOI :

10.1093/fsr/owae015

Titre :

Metric analysis of the patella for sex estimation in a Portuguese sample

Auteur(s) :

Maio, Cláudia [Auteur]
Centre for Functional ecology
Cunha, Eugénia [Auteur]
Centre for Functional ecology
Navega, David [Auteur]
Unité de Taphonomie médico-légale et Anatomie - ULR 7367 [UTML&A]
Centre for Functional ecology

Titre de la revue :

Forensic Sciences Research

Éditeur :

Taylor & Francis

Date de publication :

2024-02-15

ISSN :

2096-1790

Mot(s)-clé(s) en anglais :

Patella
Sex estimation
Discriminant function
Portuguese population
Forensic Anthropology

Discipline(s) HAL :

Sciences de l'Homme et Société/Anthropologie biologique

Résumé en anglais : [en]

Abstract The biological profile estimation is the first step towards positive identification. However, it is not always possible to access a complete and well-preserved skeleton due to postmortem damage and taphonomic ...
Lire la suite >Abstract The biological profile estimation is the first step towards positive identification. However, it is not always possible to access a complete and well-preserved skeleton due to postmortem damage and taphonomic changes. As such, there is a need to develop new alternative to analyze different bones of the human skeleton. The present study aims to analyze the patellar osteometry, with attention to its degree of sexual dimorphism, to establish a simple method for estimating sex in Portuguese adults. Six measurements were taken from 222 patella pairs, 117 females and 105 males from the XXI Century Identified Skeleton Collection of the University of Coimbra. Subsequently, this method was validated in a different sample of 50 individuals equally representing both sexes. Maximum height stands out with a 77.0% of correct sex estimation, reaching 98.0% when applied to the new sample. The linear discriminant function analysis containing all the six variables showed the best results, with 80.2% of correct classification after cross-validation and 96.0% when applied to the independent sample.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

Unité de Taphonomie Médico-Légale & d’Anatomie (UTMLA) - ULR 7367

Source :

Harvested from HAL

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