Tooth-Level Analysis of Dental Caries in Primary Dentition in Myanmar Children

Abstract

In developing countries, the prevalence of dental caries in children remains high, which means that implementing a simple and convenient classification is critical. The classification needs to be evidence-based and needs to reflect tooth-level information. In this study, the prevalence of dental caries in the primary dentition of 352 Myanmar school children at the ages of 5, 6, and 7 was analyzed at the tooth level to clarify the underlying data structure of the patterns of dental caries in the population. Ninety-three percent of subjects had caries in primary dentition and the mean number of decayed teeth in primary dentition was 7.54 ± 4.82. Based on the item response theory analysis, mixed-effect modeling, and Bayesian network analysis, we proposed the following classification: Group 1: No dental caries; Group 2: Dental caries in molar teeth or dental caries in maxillary anterior teeth; Group 3: Dental caries in both molar and maxillary anterior teeth; Group 4: Dental carries in mandibular anterior teeth. Dental caries (dmft) in the groups was different between groups. The results of characteristics of tooth-level information and classification presented in this study may be a useful instrument for the analysis of the data of dental caries prevalence in primary dentition.

Structure and Validity of Questionnaire for Oral Frail Screening

“…Characteristics of each item were visualized by correspondence analysis [ 15 , 17 , 19 ]. As shown in Figure 3 , subjects with a high number of remaining teeth answered, “Regular attendance of dental clinic” and “Less frequently going out”.…”

“…Under the Item Response Theory (IRT) approach, three parameter logistic models were applied. [ 12 , 13 , 14 , 15 , 17 , 18 ]. Item difficulty, item discrimination, item information were calculated.…”

“…Kruskal Wallis tests were applied for the ability calculated by IRT analysis against the groups by number of remaining teeth. To visualize the response for each item and number of remaining teeth, correspondence analysis was carried out [ 15 , 17 , 19 ]. The analysis was performed by SPSS ver 24.0 (IBM, Tokyo, Japan).…”

Mortality- and Health-Related Factors in a Community-Dwelling of Oldest-Older Adults at the Age of 90: A 10-Year Follow-Up Study

“…A three-parameter logistic model was applied for the summary score of self-assessed chewing ability. Item response curves and item information curves were presented for 15 types of food [ 60 , 61 , 62 , 63 , 64 ]. R ver3.50 with the LTR and irtoys packages was used for IRT analysis.…”

Optimal Examination Sites for Periodontal Disease Evaluation: Applying the Item Response Theory Graded Response Model

“…Discrimination parameter corresponds to the predictability of each site to represent all examination sites or teeth. Previous studies have shown that IRT can efficiently characterize dental caries susceptibility [ 16 , 17 ]. IRT graded response modeling has also been applied in the evaluation of existing measures in several clinical areas, such as those related to swallowing and communication disorders [ 18 , 19 ].…”