Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/7794
Title: Morphometric measurements of mandible to determine stature and sex: A postmortem study
Authors: Hamza, Nehala C
Gupta, Chandni
Palimar, Vikram
Keywords: Autopsy
Body remains
Mandible
Sex
Stature
Issue Date: 2024
Publisher: Journal of Taibah University Medical Sciences
Series/Report no.: Original Article;106-113
Abstract: Objectives: Identification of humans has medicolegal relevance in civil issues involving property inheritance, marriage, contested sex, admission to educational institutions, and the disappearance of individuals. To determine the sex of human remains, forensic anthropologists usually use morphologic and metric approaches. This study was conducted to determine stature and sex according to mandibular dimensions in postmortem autopsy samples. Methods: A total of 150 mandibles from people 18e65 years of age were studied. Stature and sex were noted, and six mandibular measurements were taken with Vernier calipers, flexible measuring tape, a protractor, and a graduated autopsy table. Statistical analysis of the measured parameters was conducted in SPSS software. Statistical parameters, such as mean, standard deviation, Spearman’s correlation coefficient, multiple linear regression, stepwise regression, and ManneWhitney U test were analyzed. Results: Bicondylar width was the stature estimation predictor with the strongest correlation (r ¼ 0.439). The other parameters significantly associated with stature were bigonial width (p ¼ 0.000), mandibular angle (p ¼ 0.004), and mandibular arch length (p ¼ 0.000), according to Spearman’s correlation coefficient. The mandibular angle had the greatest dimorphic statistical significance (p ¼ 0.004) according to the ManneWhitney U test. Conclusion: Bicondylar width may serve as a valuable tool for estimating stature, and mandibular angle can be used to identify sex. Our findings may help forensic anthropologists estimate stature and identify human remains.
URI: http://localhost:8080/xmlui/handle/123456789/7794
ISSN: 1658-3612
Appears in Collections:Vol 19 No 1 (2024)

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