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首页> 外文期刊>Journal of Clinical and Diagnostic Research >Sex Estimation from Index and Ring Finger Lengths in Turkish Population
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Sex Estimation from Index and Ring Finger Lengths in Turkish Population

机译：从土耳其人口的食指和无名指长度进行性别估计

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Sex estimation using unknown fragmented remains is one of the most important supplementaries in forensic identification. If sex cannot be determined by anatomical structures in forensic cases, it is a benefit to use anthropometric methods as a supplement to estimate sex of the individuals.Aim: To evaluate the ability of estimating sex from index and ring finger lengths and their ratios in Turkish adults.Materials and Methods: A cross-sectional study was carried out on 394 adult volunteers (197 males and 197 females) aged between 18-25 years, and were selected from the Karadeniz Technical University, Turkey by stratified randomisation method. The train group comprised of 314 individuals (157 males and 157 females). The reliability of the sex estimation derived models was evaluated in the test group (40 males and 40 females) of same age range. Sex estimation models were developed by using Binary Logistic Regression Analysis.Results: The results indicate that the Index Finger Length (IFL) and Ring Finger Length (RFL) were found to be significantly longer in males than females in both right and left hands (p 0.05) for both sexes. Bilateral asymmetry was observed in RIFL and LIFL for both sexes (p 0.05). Accuracy percentage for models ranged between 70.0% and 75.0% in the test group for both sexes. The most successfully classified sex variable was found to be RIFL (AUC=0.75).Conclusion: The study concluded that sex estimation from the IFL and RFL may be a useful parameter when there is no more reliable sex estimation approach for forensic investigations.
机译：使用未知的碎片遗骸进行性别估计是法医鉴定中最重要的补充之一。如果在法医情况下无法通过解剖结构确定性别，则使用人体测量学方法作为补充来估计个体性别是有益的。目的：评估通过食指和无名指长度及其性别来估计性别的能力材料与方法：这项横断面研究是对年龄在18至25岁之间的394名成年志愿者（197名男性和197名女性）进行的横断面研究，这些受试者是从土耳其卡拉德尼兹技术大学中分层选出的随机化方法。培训小组由314人组成（男性157人，女性157人）。在相同年龄范围的测试组（40位男性和40位女性）中评估了性别估算衍生模型的可靠性。通过二元Logistic回归分析开发了性别估计模型。结果：结果表明，在左右两边，男性的食指长度（IFL）和无名指长度（RFL）明显长于女性男女（p 0.05）。男女两性在RIFL和LIFL中均观察到双侧不对称（p 0.05）。在测试组中，男女的模型准确率百分比在70.0％到75.0％之间。发现最成功分类的性别变量为RIFL（AUC = 0.75）。结论：该研究得出结论，当没有更可靠的性别估算方法进行法医调查时，IFL和RFL的性别估算可能是有用的参数。

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