Exceptional growth in the development of oral health of various populations worldwide over the last three decades cannot lessen tribulations in dental caries, periodontal disease, and psychological problems, which are still prevalent in many communities, especially among the poor socioeconomic groups in developing countries like India. Dental caries and periodontal disease are exceedingly related to the lifestyle associated risk factors and various daily habits including smoking and tobacco chewing. Dietary habit is one of the prime causative behind the formation of dental caries and simultaneously the dietary habit is greatly influenced by the person's socio-economic status. In this study to explore the factors related to dental caries and periodontal disease and how these diseases manipulate the mental health of the people, some SEMs and some ANN models are also formed. At last both models are compared and explained about their purposes and usability for further applications.
BackgroundExceptional growth in development of oral health of various populations worldwide over the last three decades cannot lessen tribulations in dental caries, periodontal disease and psychological problems, which are still prevalent in many communities, especially among the poor socioeconomic groups in developing countries [1] like India. Dental caries and periodontal disease are exceedingly related to the lifestyle associated risk factors and various daily habits including smoking and tobacco chewing. Dietary habit is one of the prime causative behind the formation of dental caries and simultaneously the dietary habit is greatly influenced by the person's socio-economic status. Based on the previous studies and from the stand point of public health, in this study socio-economic factor, oral health knowledge, dietary habits, tobacco using habit, psychological factor related to caries and periodontal disease was studied. The KAP [Knowledge, Attitude, and Practice] model has huge influence in this study. Although many factors associated to dental caries and periodontal disease have been recognized in many previous studies using multiple regression [4, 5] models and structural equation models [22], but still more advanced technique is required to establish the relation among the disease causing factors and diseases. The multiple regression models are not much successful to distinguish between correlation and causal associations present between the disease and factor. Similarly the structural equation modeling approach has some assumptions regarding the linear relation between factors and diseases, which is not true in all real life scenarios. From the prediction point of view, it's a matter of judgment that which is better, a structural equation model or an artificial neural network model. So there is a need to apply such kind of procedure which can capture the nonlinear relationship among the factors and diseases, side by side will be able to predict the consequence with some accuracy.Previously structural equation modeling [7] based s...