Abstract

Objectives: This study was undertaken: (1) To establish static norms in the central India population for the various smile parameters. (2) To analyze and quantify the sexual dimorphism of esthetic smile. Settings and Design: Hundred subjects (50 males and 50 females) with an average age of 14.5 years with a pleasing smile were selected for the study. Static photographs with posed smile in natural head position (NHP) were taken. Materials and Methods: Following smile parameters were quantified using Adobe Photoshop ruler software: Maxillary incisor exposure (MIE) (mm), smile index (SI) (mm), smile arc, buccal corridor ratio (%), Most posterior maxillary tooth visible, anterior height of the smile (%), posterior height of the smile (%). Statistical Analysis: The data were compiled systematically. Statistical analysis was done using Statistical Package of Social Sciences (SPSS version 17.0). For MIE and SI, Unpaired t-test was applied. Chi-square test was applied for most posterior maxillary tooth visible, smile arc buccal corridor, anterior height of smile, and posterior height of smile. Results: The mean value of MIE was found to be 7.76 mm and 8.82 mm in boys and girls, respectively. SI showed a mean value of 8.26 for boys and 7.91 for girls. Girls displayed second premolar commonly in contrast to boys, who displayed first premolar. Parallel smile arc was noted more frequently in females, while males displayed flat smile arc commonly. Conclusion: Orthodontists, being smile architects, have the responsibility to design and create smiles. Smile analysis should be an integral part of dental/orthodontic treatment planning and mechanotherapy.

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