1. Assessment of sex and sexual dimorphism in children from Tamilnadu, India through odontometrics in primary dentition - a cross sectional study with discriminant function analysis.
- Author
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Thirumal M, Prasad H, Rajmohan M, SriChinthu K, Prema P, and Shanmuganathan S
- Subjects
- Humans, Female, Male, India, Child, Child, Preschool, Cross-Sectional Studies, Discriminant Analysis, Tooth, Deciduous anatomy & histology, Sex Characteristics, Odontometry, Forensic Dentistry methods
- Abstract
One of the crucial steps in the process of identification of human remains is sex determination of an unknown individual. Sex can be determined using the human skeleton, especially by examining the pelvis and skull. Odontometric analysis and assessment of sexual dimorphism of the human dentition has been less investigated, especially in primary dentition. Hence, this research was designed to verify the presence of sexual dimorphism through odontometric approach in paediatric population of Tamil Nadu, India. The present study was performed on 229 females and 244 males between 3 and 6 years of age. Linear measurements such as maximum mesio distal width, maximum bucco lingual width and clinical crown length were measured in all the primary teeth. Statistical analysis was performed using the Statistical Package for Social Science version 20.0 software (SPSS Inc., Chicago, IL, USA). Mann-Whitney-U test was used to check the statistical significance of the differences observed between males and females. Six equations were derived by discriminant function analysis for practical use. Sexual dimorphism existed in odontometric parameters of primary dentition. The maximum sexual dimorphism was observed in maximum bucco lingual width of 51 and maximum bucco lingual width of 75. The equations derived using discriminant function analysis yielded a jackknife accuracy ranging between 87.5% and 99.8%. These equations may be used to assess the sex from the children of Tamil Nadu, India., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
- Published
- 2024
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