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ABSTRACT
Background
BACKGROUND AND OBJECTIVES:
Accurate sex estimation from fragmentary human remains is a significant challenge in forensic investigations, especially in South Africa with high levels of criminality, including body dismemberment, which contributes to the demand for a reliable identification method of unidentified bodies. Anthropometric measurements, especially of the lower leg and shoulder, offer a non-invasive approach to sex estimation in such contexts. The aim of this study was to investigate the usefulness of anthropometric measurements of the lower leg and shoulder for sex estimation in a black South African population. In
addition, the study also sought to identify the most appropriate statistical method by assessing the accuracy and reliability of the regression equations compared to
alternative techniques.
Accurate sex estimation from fragmentary human remains is a significant challenge in forensic investigations, especially in South Africa with high levels of criminality, including body dismemberment, which contributes to the demand for a reliable identification method of unidentified bodies. Anthropometric measurements, especially of the lower leg and shoulder, offer a non-invasive approach to sex estimation in such contexts. The aim of this study was to investigate the usefulness of anthropometric measurements of the lower leg and shoulder for sex estimation in a black South African population. In
addition, the study also sought to identify the most appropriate statistical method by assessing the accuracy and reliability of the regression equations compared to
alternative techniques.
Method
BACKGROUND AND OBJECTIVES:
Accurate sex estimation from fragmentary human remains is a significant challenge in forensic investigations, especially in South Africa with high levels of criminality, including body dismemberment, which contributes to the demand for a reliable identification method of unidentified bodies. Anthropometric measurements, especially of the lower leg and shoulder, offer a non-invasive approach to sex estimation in such contexts. The aim of this study was to investigate the usefulness of anthropometric measurements of the lower leg and shoulder for sex estimation in a black South African population. In
addition, the study also sought to identify the most appropriate statistical method by assessing the accuracy and reliability of the regression equations compared to
alternative techniques.
Accurate sex estimation from fragmentary human remains is a significant challenge in forensic investigations, especially in South Africa with high levels of criminality, including body dismemberment, which contributes to the demand for a reliable identification method of unidentified bodies. Anthropometric measurements, especially of the lower leg and shoulder, offer a non-invasive approach to sex estimation in such contexts. The aim of this study was to investigate the usefulness of anthropometric measurements of the lower leg and shoulder for sex estimation in a black South African population. In
addition, the study also sought to identify the most appropriate statistical method by assessing the accuracy and reliability of the regression equations compared to
alternative techniques.
Result
RESULTS:
Univariate logistic regression achieved 76.12% accuracy for males and 75.76% for females, with right sitting shoulder height and left sitting knee height as significant
predictors. Multivariate logistic regression identified shoulder breadth and left sitting popliteal height as significant variables (p<0.05). Discriminant function analysis
demonstrated classification accuracy of 79.4% for males and 76.47% for females, with right sitting shoulder height and left sitting knee height as the most influential
parameters.
Univariate logistic regression achieved 76.12% accuracy for males and 75.76% for females, with right sitting shoulder height and left sitting knee height as significant
predictors. Multivariate logistic regression identified shoulder breadth and left sitting popliteal height as significant variables (p<0.05). Discriminant function analysis
demonstrated classification accuracy of 79.4% for males and 76.47% for females, with right sitting shoulder height and left sitting knee height as the most influential
parameters.
Conclusion
CONCLUSION:
Anthropometric measurements of the lower leg and shoulder regions provide reliable sex estimation in the South African population. Both logistic regression and discriminant analysis offer comparable accuracy and support their use in forensic identification, especially for fragmented remains.
Anthropometric measurements of the lower leg and shoulder regions provide reliable sex estimation in the South African population. Both logistic regression and discriminant analysis offer comparable accuracy and support their use in forensic identification, especially for fragmented remains.