Volume 8 Issue 10 (October, 2020)

Original Articles

Analysis of oral prosthetic treatment pattern and incidence of tooth loss in edentulous patients of a known population
Dr. Tribhuvan N Dwivedi, Dr. Geetanjali Singh, Dr. Aditi Sharma

Background: Oral health care management among the elderly differs from the rest of the population due to some physiological and general health status changes related to age. DMFT is the most common index used for registration of dental health status in epidemiological studies, but it could not provide enough information about the functionality of remaining dentition. Aim of the study: To assess pattern of oral prosthetic treatment and prevalence of dental diseases in edentulous patients in North Indian population. Materials and methods: The present study was conducted in the Department of Prosthodontics of the Dental institution. For the study, a survey was conducted among 500 residents of a town in North India. The age of the participants ranged from 35-74 years. 289 patients were male and 211 were females. Data collection proforma was divided into two parts; first part was used to obtain information about variables like regarding the subject's personal details, sociodemographic characteristics, oral hygiene practices, habits oral health knowledge, availability and utilization of dental services and self-perceived oral health, and need for treatment. Results: It was observed that there were 289 male patients and 211 female patients in the study group. The mean age of the patients was 52.36 years with age ranging from 35-75 years. It was seen that highest mean tooth loss was seen in age range 65-75 years. Conclusion: Within the limitations of the present study, it can be concluded that dental disease are more commonly seen in old age patients as compared to young age patients. Furthermore, dental diseases are more common in males as compared to females. Keywords: Oral Health, dental diseases, survey

Abstract View | Download PDF | Current Issue

This work is licensed under a Creative Commons Attribution 3.0 License.