The questioners were four trained dental students received the necessary training on how to complete the questionnaires and perform clinical examination. To calibrate between the four questioners, prior to the initiation of data collection process, each of the four trained dental students performed a survey on 25 subjects selected from among the study population; the mean stability between their findings was 97%. The questioners visited each household at their home and briefed the household members about the research project and then completed the questionnaire through asking questions about the following items: demographic information, insurance coverage status, socioeconomic status (SES), frequency of brushing during a day, frequency of the use of dental floss during a day, and frequency of the use of fluoride mouthwash during a day. In this study, the SES of individuals was determined through questioning about their assets, which is a more appropriate way in developing countries. Using the principal component analysis (PCA) method, the studied people were divided into five quintiles including poorest, poor, moderate rich, and richest (29 ).
The DMFT score of the samples were determined based on the results of clinical examination and calculation of the number of decayed (D), filled (F), and missed (M) teeth due to caries. The data were collected by questioners through observation and direct examination of the samples’ teeth using mirror number 4 and a medisporex catheter. During the examination, the subjects under examination and the researcher sat close to the window to perform the examination under the maximum natural light. After examining each patient, the results were recorded in the questionnaire.
In this study, the statistical analysis was performed using SPSS (ver.20, Chicago, IL, USA) software at a significance level of P<0.05. Descriptive statistics (Mean, Standard Deviation (SD), and frequency distribution tables) were used to describe the collected data. Using T-test and ANOVA, the DMFT index was assessed at different levels of the independent variables. The relationship between independent variables and the DMFT index was evaluated using Pearson statistics and Kendall statistics. The variables were entered into the multiple regression model for a P<0.05 in the univariate analysis. Finally, the variables that were significant in the regression test using a stepwise backward method, remained in the model.
The study was approved by the Ethics Committee of Kurdistan University of Medical Sciences (IR.MUK.REC.1393/1). All participants provided written informed consent before participating in the study.