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.
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.
Behavioural Risk Factor Surveillance System BRFSS updated: 4-9-2005. Available at http://www.cdc.gov/brfss/about.htm (accessed on 20 June 2005). Centers for Disease Control and Prevention, Atlanta, GA.
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