{"title":"Testing of morphological sex estimation traits with a sex-known collection: Ottoman period skulls","authors":"Berkay Yaşar, Mehmet Sağır","doi":"10.1002/oa.3265","DOIUrl":null,"url":null,"abstract":"<p>Sexual dimorphism patterns vary across geographic regions due to the influence of genetic characteristics and environmental factors. Therefore, sex estimation models are being developed specifically for each population or group. The applicability of morphological sex estimation methods has not been tested in Turkey. Hence, by using skulls, the present study aims to analyze the reliability of the visual morphological method and test the equations developed in different populations. The study material consists of 192 skulls (96 male, 96 female) with known sexes, excavated from Istanbul's Karacaahmet cemetery in 1925. In the present study, glabella, mastoid process, supraorbital margin, and nuchal crest traits were scored on a scale of 1 to 5 according to the instructions provided in standard protocols. Intra-observer and inter-observer agreements were analyzed by two experts having the same level of experience. When equations derived from other populations were applied to our samples, they exhibited high sex biases (up to 50%). Therefore, new equations were derived through binary logistic regression analysis. Glabella had the highest performance in terms of repeatability (0.83) and reproducibility (0.74), whereas the nuchal crest showed the lowest performance (0.60–0.52). The most significant sexual dimorphism was observed in the glabella. Based on cross-validated results using a single criterion, it accurately classified 80% of females and 84% of males. The nuchal crest was not significantly affecting the sex discriminative equations (<i>p</i> > 0.05). Multivariate equations achieved an accuracy of over 90% and cross-validated results ranged between 80% and 90%. The results obtained from present study support the hypothesis that sexual dimorphism patterns vary under different conditions and highlight the importance of population variation in sex estimation. The models derived from the present study were found to be suitable for sex estimation from skulls and demonstrated high performance.</p>","PeriodicalId":14179,"journal":{"name":"International Journal of Osteoarchaeology","volume":"33 6","pages":"1042-1051"},"PeriodicalIF":1.1000,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Osteoarchaeology","FirstCategoryId":"98","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/oa.3265","RegionNum":3,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ANTHROPOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Sexual dimorphism patterns vary across geographic regions due to the influence of genetic characteristics and environmental factors. Therefore, sex estimation models are being developed specifically for each population or group. The applicability of morphological sex estimation methods has not been tested in Turkey. Hence, by using skulls, the present study aims to analyze the reliability of the visual morphological method and test the equations developed in different populations. The study material consists of 192 skulls (96 male, 96 female) with known sexes, excavated from Istanbul's Karacaahmet cemetery in 1925. In the present study, glabella, mastoid process, supraorbital margin, and nuchal crest traits were scored on a scale of 1 to 5 according to the instructions provided in standard protocols. Intra-observer and inter-observer agreements were analyzed by two experts having the same level of experience. When equations derived from other populations were applied to our samples, they exhibited high sex biases (up to 50%). Therefore, new equations were derived through binary logistic regression analysis. Glabella had the highest performance in terms of repeatability (0.83) and reproducibility (0.74), whereas the nuchal crest showed the lowest performance (0.60–0.52). The most significant sexual dimorphism was observed in the glabella. Based on cross-validated results using a single criterion, it accurately classified 80% of females and 84% of males. The nuchal crest was not significantly affecting the sex discriminative equations (p > 0.05). Multivariate equations achieved an accuracy of over 90% and cross-validated results ranged between 80% and 90%. The results obtained from present study support the hypothesis that sexual dimorphism patterns vary under different conditions and highlight the importance of population variation in sex estimation. The models derived from the present study were found to be suitable for sex estimation from skulls and demonstrated high performance.
期刊介绍：
The aim of the International Journal of Osteoarchaeology is to provide a forum for the publication of papers dealing with all aspects of the study of human and animal bones from archaeological contexts. The journal will publish original papers dealing with human or animal bone research from any area of the world. It will also publish short papers which give important preliminary observations from work in progress and it will publish book reviews. All papers will be subject to peer review. The journal will be aimed principally towards all those with a professional interest in the study of human and animal bones. This includes archaeologists, anthropologists, human and animal bone specialists, palaeopathologists and medical historians.
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