Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

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

Lopez-Capp, TT, Rynn, C, Wilkinson, C, de Paiva, LAS, Michel-Crosato, E and Biazevic, MGH (2017) Discriminant analysis of mandibular measurements for the estimation of sex in a modern Brazilian sample. International Journal of Legal Medicine. ISSN 0937-9827

[img]
Preview
Text
T:\papers\lopez-Capo et al 2017 accepted draft.pdf - Accepted Version

Download (1MB) | Preview

Abstract

The present study aimed to evaluate the accuracy of mandibular measurements for sex determination in a Brazilian population. The sample was composed of 100 mandibles, of which 53 were female and 47 were male, and the average age was 57.03 years. The mandible measurement protocol was composed of 15 measurements, of which six were bilateral and nine were unique. Mandibles were directly measured using a digital caliper and a protractor. The descriptive analysis of the present study revealed higher mean values for male mandibles compared to those for female mandibles with the exception of the left mandibular angle. Among the 21 measures analyzed in this group, 15 were statistically significant (p < 0.05). Univariate discriminant analyses produced a mean percentage of correct predictions that varied between 49 and 79%. The association of variables increased the percentage of correct prediction of sex to vary from 76 to 86%. The receiver operator characteristic (ROC) curve analysis indicated that the best variable for estimating sex was bigonial breadth (BGB; area under the ROC curve (AUC) = 0.764) followed by the right maximum ramus height (MRHr; AUC = 0.763). A reference table for estimating sex in a Brazilian population using mandible measurements was developed based on the ROC curve analysis. Mandibular measures provide a simple and reliable method for sex discrimination in Brazilian adults due to the sexual dimorphism revealed by analysis of the metric variables and the satisfactory results demonstrated by discriminant formulas, ROC curve analysis, and the reference table.

Item Type: Article
Additional Information: The final publication is available at link.springer.com via http://dx.doi.org/10.1007/s00414-017-1681-8
Uncontrolled Keywords: 0399 Other Chemical Sciences, 0699 Other Biological Sciences
Subjects: C Auxiliary Sciences of History > CC Archaeology
G Geography. Anthropology. Recreation > GN Anthropology
R Medicine > RK Dentistry
Divisions: Art & Design
Publisher: Springer Verlag
Related URLs:
Date Deposited: 10 Oct 2017 10:23
Last Modified: 04 Sep 2021 11:07
DOI or ID number: 10.1007/s00414-017-1681-8
URI: https://researchonline.ljmu.ac.uk/id/eprint/7316
View Item View Item