{"title":"印尼16-24岁人群直接卵形角测量的性别估计","authors":"Raudin Ghazani, D. Adespin, R. Saputri, R. Boedi","doi":"10.5114/jos.2022.114501","DOIUrl":null,"url":null,"abstract":"Introduction: Sex determination an important role in post-mortem (PM) profile reconstruction, which enables to reduce the possibility of identification. Gonial angle (GA) of mandible is a reliable sex parameter through skeletal examination. However, given frequent limited resources in forensic setting, direct GA measurement approach on deceased’s body is more practicable. Objectives: This study aims to evaluate GA discriminative ability in sex estimation by using direct measurement method in 16-24 years old Indonesian population. Material and methods: One hundred individuals (M = 43, F = 57) between 16-24 years old from Jepara District, Central Java, Indonesia, were selected for the measurement of both left (LGA) and right (RGA) gonial angle using a goniometer. Inter-and intra-observer reliability were 0.906 and 0.936, respectively, after one month using intra-class correlation coefficients (ICC). Measured LGA and RGA from males and females were compared using Mann-Whitney U -test, and Pearson’s correlation between LGA and RGA were calculated. Binary logistic regression and ROC curve models were applied to analyze GA capability in sex discrimination. Results: There was no significant difference between LGA and RGA measurements, and a high correlation was detected ( r = 0.73). Both LGA and RGA had significant value to predict sex. AUC value of LGA was 0.615 ( p = 0.048; 95% CI: 0.51-0.73) and RGA was 0.637 ( p = 0.015; 95% CI: 0.53-0.74). Conclusions: The proposed direct examination method of GA to predict sex shows a low discriminating performance on both LGA and RGA variables.","PeriodicalId":35469,"journal":{"name":"Journal of Stomatology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sex estimation using direct gonial angle measurement in 16-24 years old Indonesian population\",\"authors\":\"Raudin Ghazani, D. Adespin, R. Saputri, R. Boedi\",\"doi\":\"10.5114/jos.2022.114501\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction: Sex determination an important role in post-mortem (PM) profile reconstruction, which enables to reduce the possibility of identification. Gonial angle (GA) of mandible is a reliable sex parameter through skeletal examination. However, given frequent limited resources in forensic setting, direct GA measurement approach on deceased’s body is more practicable. Objectives: This study aims to evaluate GA discriminative ability in sex estimation by using direct measurement method in 16-24 years old Indonesian population. Material and methods: One hundred individuals (M = 43, F = 57) between 16-24 years old from Jepara District, Central Java, Indonesia, were selected for the measurement of both left (LGA) and right (RGA) gonial angle using a goniometer. Inter-and intra-observer reliability were 0.906 and 0.936, respectively, after one month using intra-class correlation coefficients (ICC). Measured LGA and RGA from males and females were compared using Mann-Whitney U -test, and Pearson’s correlation between LGA and RGA were calculated. Binary logistic regression and ROC curve models were applied to analyze GA capability in sex discrimination. Results: There was no significant difference between LGA and RGA measurements, and a high correlation was detected ( r = 0.73). Both LGA and RGA had significant value to predict sex. AUC value of LGA was 0.615 ( p = 0.048; 95% CI: 0.51-0.73) and RGA was 0.637 ( p = 0.015; 95% CI: 0.53-0.74). Conclusions: The proposed direct examination method of GA to predict sex shows a low discriminating performance on both LGA and RGA variables.\",\"PeriodicalId\":35469,\"journal\":{\"name\":\"Journal of Stomatology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Stomatology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5114/jos.2022.114501\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Dentistry\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Stomatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5114/jos.2022.114501","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Dentistry","Score":null,"Total":0}
Sex estimation using direct gonial angle measurement in 16-24 years old Indonesian population
Introduction: Sex determination an important role in post-mortem (PM) profile reconstruction, which enables to reduce the possibility of identification. Gonial angle (GA) of mandible is a reliable sex parameter through skeletal examination. However, given frequent limited resources in forensic setting, direct GA measurement approach on deceased’s body is more practicable. Objectives: This study aims to evaluate GA discriminative ability in sex estimation by using direct measurement method in 16-24 years old Indonesian population. Material and methods: One hundred individuals (M = 43, F = 57) between 16-24 years old from Jepara District, Central Java, Indonesia, were selected for the measurement of both left (LGA) and right (RGA) gonial angle using a goniometer. Inter-and intra-observer reliability were 0.906 and 0.936, respectively, after one month using intra-class correlation coefficients (ICC). Measured LGA and RGA from males and females were compared using Mann-Whitney U -test, and Pearson’s correlation between LGA and RGA were calculated. Binary logistic regression and ROC curve models were applied to analyze GA capability in sex discrimination. Results: There was no significant difference between LGA and RGA measurements, and a high correlation was detected ( r = 0.73). Both LGA and RGA had significant value to predict sex. AUC value of LGA was 0.615 ( p = 0.048; 95% CI: 0.51-0.73) and RGA was 0.637 ( p = 0.015; 95% CI: 0.53-0.74). Conclusions: The proposed direct examination method of GA to predict sex shows a low discriminating performance on both LGA and RGA variables.