Nayak Preethi, Acharya Ashith B, Padmini A T, Kaveri H
Department of Oral Pathology, S.D.M. College of Dental Sciences and Hospital, Sattur, Dharwad 580009, India.
Arch Oral Biol. 2007 Oct;52(10):977-82. doi: 10.1016/j.archoralbio.2007.04.006. Epub 2007 May 31.
The aim of the study was to investigate differences in the shape of the palatal rugae in two populations of India and develop discriminant function to identify the populations based on rugae shape.
Thirty plaster casts from each population group, equally distributed between the sexes and belonging to similar age-group, were examined for rugae shape (straight, wavy, curved, unification and circular) and their incidence recorded. Association between rugae shape and population as well as rugae shape and sex were tested using chi-square analysis and discriminant function developed using SPSS 10.0 statistical package.
Wavy and curved were the most prevalent rugae shape in both groups, followed by straight rugae. Unifications were few in number while circular rugae were not observed. Chi-square analysis for association between rugae shape and population groups showed significant differences in straight and curved forms. No significant sex differences were observed. Three rugae shapes - straight, wavy and curved - contributed to the discriminant function which enabled population identification with an accuracy of 70%.
Palatal rugae shape revealed significant differences between the two Indian populations and also confirmed previous reports of lack of sex dimorphism. Discriminant function analysis allowed moderate differentiation of the populations and it is inferred that discrete variables such as rugae shape are better suited for the purpose than continuous variables such as rugae length. However, these interpretations are precluded by the small sample size and further work on larger samples is required to validate the findings.
本研究旨在调查印度两个群体的腭皱襞形状差异,并开发判别函数以根据皱襞形状识别群体。
对每个群体的30个石膏模型进行检查,这些模型在性别上均匀分布且属于相似年龄组,检查皱襞形状(直线形、波浪形、弯曲形、联合形和圆形)并记录其发生率。使用卡方分析检验皱襞形状与群体以及皱襞形状与性别的关联,并使用SPSS 10.0统计软件包开发判别函数。
波浪形和弯曲形是两组中最常见的皱襞形状,其次是直线形皱襞。联合形数量较少,未观察到圆形皱襞。卡方分析显示皱襞形状与群体之间在直线形和弯曲形上存在显著差异。未观察到显著的性别差异。直线形、波浪形和弯曲形这三种皱襞形状构成了判别函数,能够以70%的准确率识别群体。
腭皱襞形状在两个印度群体之间显示出显著差异,也证实了先前关于缺乏性别二态性的报道。判别函数分析允许对群体进行适度区分,并且可以推断,诸如皱襞形状这样的离散变量比诸如皱襞长度这样的连续变量更适合于此目的。然而,由于样本量小,这些解释受到限制,需要对更大样本进行进一步研究以验证这些发现。