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

Maio, Cláudia; Cunha, Eugénia; Navega, David

Document type :

Compte-rendu et recension critique d'ouvrage

DOI :

10.1093/fsr/owae015

Title :

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

Author(s) :

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

Journal title :

Forensic Sciences Research

Publisher :

Taylor & Francis

Publication date :

2024-02-15

ISSN :

2096-1790

English keyword(s) :

Patella
Sex estimation
Discriminant function
Portuguese population
Forensic Anthropology

HAL domain(s) :

Sciences de l'Homme et Société/Anthropologie biologique

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Popular science :

Non

Collections :

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

Source :

Harvested from HAL

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