Journal of Oral Health and Community Dentistry

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VOLUME 8 , ISSUE 2 ( May-August, 2014 ) > List of Articles

RESEARCH ARTICLE

Parsimonious Prediction Model for the Prevalence of Dental Visits in Chennai, India

D Prabu, M Shylaja, RU Vidhya, S Manipal, A Ahmed, P Adusumilli

Citation Information : Prabu D, Shylaja M, Vidhya R, Manipal S, Ahmed A, Adusumilli P. Parsimonious Prediction Model for the Prevalence of Dental Visits in Chennai, India. J Oral Health Comm Dent 2014; 8 (2):86-90.

DOI: 10.5005/johcd-8-2-86

License: CC BY-NC 3.0

Published Online: 01-05-2014

Copyright Statement:  Copyright © 2014; The Author(s).


Abstract

OBJECTIVE

The aim of the study is to analyze the prevalence of dental visits within the last year in the Behavioural Risk Factor Surveillance System or BRFSS by the simple sociodemographic factors among the adults in 10 different areas of Chennai, Tamil Nadu.

METHODS

Cross sectional telephone survey (Behavioural Risk Factor Surveillance System) conducted among 500 adults. Data was collected based on a standardized questionnaire to determine the distribution of risk behaviours and health practices among non-institutionalized adults. A multivariable logistic regression model considers the complex sample design of the BRFSS was used to predict the prevalence of dental visits based on four non-clinic parsimonious variables.

RESULTS

Results showed that the adults with the High household income, Religion (Hindu), High Education(> High School Diploma), and marital status were associated with an annual dental visit with the odd ratios of 0.943, 1.161, 1.243, 0.876 respectively. Besant Nagar had the highest percentage (13%) of estimated annual users, while Redhills had the lowest percentage(8%).

CONCLUSION

Health promotion organizations, Local governments, Insurance companies, and organizations that administer public health programs will benefit by applying this model to the available nonclinical databases, and will be able to improve planning of dental health services and required dental workforce.


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