Sex estimation in the South-East Asian population: A systematic review
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View abstract on PubMed
Summary
This summary is machine-generated.Sex estimation in forensic anthropology is population-specific. This review highlights limited data for South-East Asian populations, emphasizing the need for localized standards in victim identification.
Area Of Science
- Forensic Anthropology
- Human Osteology
- Population Genetics
Background
- Sex estimation is critical in forensic anthropology, particularly for disaster victim identification.
- Existing sex estimation standards are population-specific, yet data for South-East Asian populations are scarce.
- Thai discriminant function equations are often used in neighboring countries like Malaysia due to limited local data.
Purpose Of The Study
- To systematically review and summarize existing sex estimation studies in South-East Asian populations.
- To identify research gaps in population-specific sex estimation within the region.
- To inform the development of more accurate sex estimation methods for diverse South-East Asian groups.
Main Methods
- A systematic literature search was conducted on SCOPUS and Web of Science databases.
- Studies published between 2014 and 2022, focusing on sex estimation in South-East Asian populations, were included.
- Inclusion criteria covered various bone types, methods (morphological and morphometric), sample sources, and English language publications.
Main Results
- Fifteen studies met the inclusion criteria from an initial search of 30 potentially relevant articles.
- The majority of studies (13) focused on the Thai population, with only two on the Malaysian population.
- Most studies utilized a morphometric approach, with only one study based on morphological traits.
Conclusions
- All reviewed studies confirm that sex estimation methods are population-specific.
- There is a significant need for further research to develop population-specific sex estimation standards for South-East Asian populations.
- Future studies should investigate various skeletal elements to enhance the accuracy of sex estimation in this region.
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