Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X

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Original article / research
Table of Contents - Year : 2017 | Month : June | Volume : 11 | Issue : 6 | Page : ZC78 - ZC81

Assessment of Dental Caries Spectrum among 11 to 14-Year-Old School Going Children in India ZC78-ZC81

Radhey Shyam, BC Manjunath, Adarsh Kumar, Ridhi Narang, Ankita Goyal, Ankita Piplani

Dr. Radhey Shyam,
Postgraduate Student, Department of Public Health Dentistry, Post Graduate Institute of Dental Sciences,
Rohtak-124001, Haryana, India.

Introduction: The quantification of dental caries is usually done by DMFT index but efforts are being made to find an alternative. Caries Assessment Spectrum and Treatment (CAST) is a recent, innovative caries assessment tool which can be used in epidemiological surveys.

Aim: To assess dental caries using CAST index among 11-14-year-old school children in Rohtak city, Haryana, India.

Materials and Methods: A cross-sectional study was carried out among 11-14-year-old children in schools of Rohtak City using multi stage cluster sampling technique. Rohtak city was divided in to nine clusters. In the 2nd stage, one school was randomly selected from each cluster with lottery method. Finally from each selected school, every odd roll number child between age group 11-14 years, were enrolled to reach a sample of 586. Caries was recorded using the CAST index. Each child was clinically examined by a trained examiner using CAST index. Descriptive and inferential statistics were done and Chi-square test was used to find association between caries prevalence and gender. Mann-Whitney U test was used to find any difference of mean DMFT between different age groups.

Results: A total of 586 children were examined. Prevalence of dental caries was 28.6%. Highest caries was observed in lower right first molar and lower left first molar (13.8% and 11.6%) respectively. Pulpal involvement in lower molars was found more than the upper molars.

Conclusion: CAST index presents a simple hierarchical structure of caries spectrum and is a promising index for epidemiological studies with complex quantifiability.