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Context: Malocclusion can compromise the oral health tissues and can lead to social and psychological problem. Hence an investigation of the malocclusion status at the developing stages of the dentitions to intercept the same is required. Aims: To assess the malocclusion in school children of Karnataka between the age groups of 10-12 years and 13-16 years. Settings and Design: School settings and Descriptive cross-sectional survey. Methods and Material: A cross-sectional epidemiological survey was conducted in all the 30 districts of Karnataka. School children in the age group of 10-16 years were the target population. Population proportionate technique was employed for the sample size estimation. A total sample of 9505 was randomly selected from 102 schools all over Karnataka. Ackermann-Proffit classification of malocclusion was used to record the malocclusion. Statistical analysis used: Simple Descriptive statistics. Results and Conclusion: Prevalence of crowding is 52.3% in mixed dentition and 50.2% in permanent dentition. Cross-bite was reported in 17.4% and 18.3% in mixed and permanent dentition respectively. Increased over-jet was reported in 15.3% and 7.7% in mixed and permanent dentitions respectively.

Aims: To assess the awareness of Orthodontic treatment among school children in Karnataka. Settings and Design: School settings and Descriptive cross-sectional survey. Methods and Material: A crosssectional epidemiological survey was conducted in all the 30 districts of Karnataka. School children in the age group of 10-16 years were the target population. Population proportionate technique was employed for the sample size estimation. A total sample of 9505 was randomly selected from 102 schools all over Karnataka. A pre-structured questionnaire was used to record the awareness of children towards orthodontic treatment. Statistical analysis used: One way Anova, Scheffe's post hoc-test. Results: Our study showed an average awareness of orthodontic treatment in Karnataka school children. Conclusions: The awareness was influenced by the literacy rate as districts with higher literacy showed higher awareness of children towards orthodontic treatment and districts with lower literacy rate showed lesser awareness of children towards orthodontic treatment.

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