Assessment of Different Types of Malocclusion Using IOTN Index and Geographic Information System: A Cross-sectional Observational Study

Authors

  • Bhagyalakshmi Avinash1, Balasubramanian S.2, Ravikumar M.3, Suma Shekar4, Avinash B.S.

DOI:

https://doi.org/10.37506/ijphrd.v11i1.447

Keywords:

s: Malocclusion, Orthodontic Treatment Needs, IOTN Index, Geographic Information System (GIS).

Abstract

Objective: Beauty is often considered as one of the most pleasant aspects of life, and its influence is often almost unavoidable. A person’s dental appearance has a significant bearing on his psychological well-being. The various research studies conducted in India have shown prevalence of malocclusion ranging from 20 to 55%. Method: A cross-sectional Descriptive survey was planned in the school children of Mysuru district. The sample size was 840 subjects. To assess the prevalence of malocclusion and different types of malocclusion present, DHC of the IOTN was used. GIS mapping of prevalence and frequency of different malocclusions was done using Arc GIS software. Results: The IOTN classification reveals that among 409 Boys, 121 (29.6%) had definite need for orthodontic treatment. Among 436 girls, 124 (28.4%) had definite need for orthodontic treatment. There was no statistically significant difference with regard to orthodontic treatment need between boy and girl study participants in the present study (p = 0.53). Conclusion: The prevalence of malocclusion is 58.2 & and displacement is the commonest type of malocclusion present.

Author Biography

  • Bhagyalakshmi Avinash1, Balasubramanian S.2, Ravikumar M.3, Suma Shekar4, Avinash B.S.

    1Reader Dept of Orthodontics JSS Dental College & Hospital, 2Research Director JSS Academy of Higher Education & Research, 3Assistant Professor Dept of Geoinformatics JSSAHER, 4Reader Dept of Orthodontics JSS Dental College & Hospital, Mysore

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Published

2020-01-31

How to Cite

Assessment of Different Types of Malocclusion Using IOTN Index and Geographic Information System: A Cross-sectional Observational Study. (2020). Indian Journal of Public Health Research & Development, 11(1), 293-298. https://doi.org/10.37506/ijphrd.v11i1.447