1Department of Oral Pathology and Microbiology, Manipal College of Dental Sciences, Mangalore, Manipal Academy of Higher Education, Manipal, India
2Department of Oral Pathology and Microbiology, Manipal College of Dental Sciences, Mangalore, Manipal Academy of Higher Education, Manipal, India
3Department of Oral Pathology and Microbiology, Manipal College of Dental Sciences, Mangalore, Manipal Academy of Higher Education, Manipal, India
4Department of Oral Pathology and Microbiology, Manipal College of Dental Sciences, Mangalore, Manipal Academy of Higher Education, Manipal, India
5Department of Oral Pathology and Microbiology, Manipal College of Dental Sciences, Mangalore, Manipal Academy of Higher Education, Manipal, India
6Department of Orthodontics, Manipal College of Dental Sciences, Mangalore, Mangalore, Manipal Academy of Higher Education, Manipal, India
*Corresponding Author: Dr. Srikant.N. Professor and Head, Department of Oral Pathology and Microbiology, Manipal College of Dental Sciences, Mangalore-575001 Contact: +91 9611144234 Email: srikant.n@manipal.edu
Background: Odontometry is an important parameter to demonstrate sexual dimorphism.
Aim and Objective: The study aimed to assess the efficiency of dental indices in identifying sexual dimorphism in permanent human dentition.
Material and Methods: Dental casts (n=101; 49 male and 52 female) were retrieved from the archives. The mesio-distal (MD) and bucco-lingual (BL) dimensions of the permanent teeth (from central incisor to second molar) were measured using digital Vernier Caliper. Crown area, crown module, crown index, incisor and canine index were calculated for each individual.
Results and Conclusions: Sexual dimorphism in teeth are attributed to hormonal influence and Y chromosome. The BL dimension is less influenced by attrition compared to the MD dimension making it a better identifier. Discriminant function analysis showed MD dimension of mandibular left canine and crown index of right maxillary premolar as the most reliable predictors. Binary logistic regression analysis showed, the MD dimension ofthe lower left canine was the single best predictor of gender.
Sexual Dimorphism, Dental indices, Discriminant Functional Analysis, Binary Logistic Regression