Determination of sex from humerus: discriminant analysis

Soni, Gargi; Dhall, Usha; Chhabra, Sudha

doi:10.1080/00450618.2012.697917

Cited by 14 publications

(10 citation statements)

References 3 publications

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“…The single finest factor for gender determination was epicondylar breadth (with 87.5% accuracy) and was observed by Soni et al [29] while vertical diameter was the best parameter in another study [7]. These differences in measurement are expected to be dependent on the difference in the body size, muscle mass, and physical activity, significantly more development of the cortical bone in adolescent males than in females, and differences in bone remodeling between both genders [30].…”

Section: Discussionmentioning

confidence: 76%

Determination of Gender from Various Measurements of the Humerus

Khan

Gul

Nizami

2020

Cureus

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Section: Discussionmentioning

confidence: 76%

Determination of Gender from Various Measurements of the Humerus

Khan

Gul

Nizami

2020

Cureus

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“…Despite previous literature predicting the maximum length (ML) of the humerus as a good predictor of sex [ 3 9 ], the vertical head diameter (VDH) and epicondylar breadth (EB) of this bone have also been shown to be accurate predictors of sex [ 13 14 ]. Furthermore, humeral metric assessment of sexual differences among the South Africans white and blacks using the Dart and Pretoria collection has indicated that the VDH and EB are the best predictor in whites, whereas VDH and ML are the best predictors in blacks [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Sex determination using humeral dimensions in a sample from KwaZulu-Natal: an osteometric study

et al. 2017

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The morphological characteristics of the humeral bone has been investigated in recent times with studies showing varying degrees of sexual dimorphism. Osteologists and forensic scientists have shown that sex determination methods based on skeletal measurements are population specific, and these population-specific variations are present in many body dimensions. The present study aims to establish sex identification using osteometric standards for the humerus in a contemporary KwaZulu-Natal population. A total of 11 parameters were measured in a sample of n=211 humeri (males, 113; females, 98) from the osteological collection in the Discipline of Clinical Anatomy, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa. The difference in means for nearly all variables were found to be significantly higher in males compared to females (P<0.01) with the most effective single parameter for predicting sex being the vertical head diameter having an accuracy of 82.5%. Stepwise discriminant analysis increased the overall accuracy rate to 87.7% when all measurements were jointly applied. We conclude that the humerus is an important bone which can be reliably used for sex determination based on standard metric methods despite minor tribal or ancestral differences amongst an otherwise homogenous population.

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“…Those equations were provided as a linear combination of the variables in the following form [19,20]:…”

Section: Discussionmentioning

confidence: 99%

“…The sex can be estimated by comparing the F score with the provided cut off value. If the score is greater than the cut off, it is estimated that print originates from a male, while if it is smaller, it is estimated that print originates from a female individual [19,20].…”

Section: Discussionmentioning

confidence: 99%

Sex estimation from handprints in a Croatian population sample

Kolić

Jerković

Anđelinović

2020

St open

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Aim: To test if handprint measurements show sexual dimorphism in the Croatian population, and to develop population-specific sex estimation standards. Methods: A cross-sectional study was conducted on 100 adult volunteers from a Croatian population (50 males and 50 females) aged between 20 and 45 years. Using a fingerprint ink, we collected handprints of both hands on a paper sheet. We scanned handprints and took 13 measurements. Bilateral asymmetry and sexual dimorphism of the measurements was analyzed and sex estimation models were developed using linear discriminant analysis. Results: All measurements exhibited statistically significant sexual dimorphism (P<0.001). Univariate discriminant functions provided sexing accuracy from 75% to 92%. The highest accuracy rate (92%) and the lowest sexing bias (0%) was obtained using the handprint breadth. A multivariate discriminant function could estimate sex with 93% accuracy, but with more pronounced sexing bias (10%). Conclusion: We showed that handprint measurements could be used for sex estimation in the Croatian population with a high accuracy level. Therefore, they could serve as a valuable tool for biological profiling of perpetrators in criminal investigations when other evidence is not conclusive.

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Determination of sex from humerus: discriminant analysis

Cited by 14 publications

References 3 publications

Determination of Gender from Various Measurements of the Humerus

Determination of Gender from Various Measurements of the Humerus

Sex determination using humeral dimensions in a sample from KwaZulu-Natal: an osteometric study

Sex estimation from handprints in a Croatian population sample

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