对性别识别的全唇分数系统和全槽分数的分析:一个横截面研究
1Department of Diagnostic Dental Sciences and Oral Biology, College of Dentistry, King Khalid University, Abha, Saudi Arabia.
Journal of oral and maxillofacial pathology : JOMFP
|August 19, 2024
概括
唇部总评分 (TLS) 有效地识别性别,男性的评分高于女性. 这种新的凯洛斯科比方法对法医识别和无错调查有很大的前景.
科学领域:
- 法医科学 法医科学 法医科学
- 人类学是人类学.
- 牙科 牙科 牙科 牙科
背景情况:
- 唇印的研究Cheiloscopy越来越多地被验证为个人识别.
- 唇纹可以表明性别,种族,职业,习惯,血型和父亲身份.
- 关于唇印的现有数据是大量的,促使新的分析方法.
研究的目的:
- 评估一种新的全唇评分 (TLS) 系统用于性别识别的有效性.
- 量化总道得分 (TGS) 并与TLS进行比较,以加强身份验证.
- 评估牙科学生之间唇印特征的基于性别的差异.
主要方法:
- 一项对60名牙科学生 (30名男性,30名女性,年龄在18-30岁) 的横截面研究.
- 唇印采集使用笔记本方法,并使用Adobe Photoshop CS 6进行数字化.
- TLS和TGS是按象限计算的,并使用Jamovi进行统计分析.
主要成果:
- 男性的总唇分 (TLS) (n=402;SD ± 92.1) 比女性 (n=348;SD ± 86.1) 的平均值更高.
- 在TLS和性别之间发现了统计学上显著的负相关性 (r=-0.354,P=0.005).
- 总道得分 (TGS) 没有显示出与性别的显著相关性 (r=-0.162,P=0.217).
结论:
- 全唇评分 (TLS) 系统是一种独特而有效的性别识别方法.
- 与女性相比,男性的唇部得分在统计上更高.
- 为了获得准确的证据,TLS需要进一步进行详细的探索,验证和在法医研究中应用.
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