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Updated: Jul 4, 2025

Oral Health Assessment by Lay Personnel for Older Adults
Published on: February 2, 2020
Risk factors and associated pathway for rural and urban unmet dental prosthetic needs among older adults in Central
Abhinav Singh1, Bharathi M Purohit2, Abhishek Purohit3
1Department of Dentistry, Nodal Officer, Regional Training Centre for Oral Health Promotion, All India Institute of Medical Sciences, Bhopal, India.
Aim:
This study was undertaken to evaluate the risk factors and associated pathways for unmet dental prosthetic needs among older adult population in Central India.
Methods:
A total of 11,145 randomly selected older adults participated in the study; 4613 from urban region and 6532 form rural region. Oral examinations were conducted at individual households for recording dental caries, periodontal disease, prosthetic status and needs. Structural Equation Modelling (SEM) was used to examine relationship between a set of exogenous variables and unmet dental prosthetic needs with variables that remained significant in the adjusted multilevel logistic model. Path coefficients were calculated for all variables with 95% confidence interval. Goodness of fit of the model was assessed by several indices.
Results:
A total of 8433 (75.7%) participants had never visited a dentist and 9139 (82%) had unmet dental prosthetic needs. Dental caries was observed among 3207 (69.5%) and 4644 (71.1%) study participants from urban and rural regions respectively (p < .05). Low utilization of dental services was associated with high dental prosthetic needs in upper arch and lower arch (PC = -0.05, 0.001) and DMFT was associated with lower utilization of dental services (PC = -0.09, 0.001). DMFT was also associated with age, annual income, level of education, paternal education, type of family, tobacco consumption and CPI score in the hypothesized model. The fit indices used indicated that the model was adequate.
Conclusions:
Dental prosthetic needs in the proposed pathway model was associated with low utilization of dental services, dental caries, periodontal disease and other socio-demographic factors.

