| Title |
Discriminant analysis of mandibular measurements for the estimation of sex in a modern Brazilian sample
|
|---|---|
| Published in |
International Journal of Legal Medicine, September 2017
|
| DOI | 10.1007/s00414-017-1681-8 |
| Pubmed ID | |
| Authors |
Thais Torralbo Lopez-Capp, Christopher Rynn, Caroline Wilkinson, Luiz Airton Saavedra de Paiva, Edgard Michel-Crosato, Maria Gabriela Haye Biazevic |
| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Other | 2 | 8% |
| Lecturer | 2 | 8% |
| Professor | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 11 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 28% |
| Agricultural and Biological Sciences | 2 | 8% |
| Arts and Humanities | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 12 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 September 2017.
All research outputs
#15,480,316
of 23,003,906 outputs
Outputs from International Journal of Legal Medicine
#971
of 2,081 outputs
Outputs of similar age
#200,558
of 320,403 outputs
Outputs of similar age from International Journal of Legal Medicine
#30
of 64 outputs
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