BACKGROUND: In areas with low caries prevalence, indices are needed for caries detection, which can also be used to identify initial lesions. AIM: The aim of this study was to assess the caries prevalence among 12-year-olds using ICDAS criteria and to investigate the influence of independent variables on the findings. DESIGN: The study was conducted in two regions of Germany. In Region 1, children received regular school-based prophylaxis, including fluoride varnish 2×/yr. In Region 2, there was no use of fluoride varnish in schools. Information on different factors influencing the outcome variable of caries experience was collected using structured questionnaires. DF-S values were calculated at different ICDAS cut-off points. To compare the mean caries scores of the subgroups, nonparametric tests were performed. Variables associated with caries were included in a binary logistic regression analysis. RESULTS: At D(1-6) FS and D(1+2) FS level, the differences between the regions were statistically significant (P = 0.005 and P = 0.01, respectively). Regression analysis identified the variables 'use of fluoridated toothpaste', 'fissure sealants', and 'ethnic origin' as factors significant to the prevention of caries at various stages. CONCLUSION: In a population with low caries prevalence, significant differences between subgroups could only be found when initial lesions were included.
BACKGROUND: In areas with low caries prevalence, indices are needed for caries detection, which can also be used to identify initial lesions. AIM: The aim of this study was to assess the caries prevalence among 12-year-olds using ICDAS criteria and to investigate the influence of independent variables on the findings. DESIGN: The study was conducted in two regions of Germany. In Region 1, children received regular school-based prophylaxis, including fluoride varnish 2×/yr. In Region 2, there was no use of fluoride varnish in schools. Information on different factors influencing the outcome variable of caries experience was collected using structured questionnaires. DF-S values were calculated at different ICDAS cut-off points. To compare the mean caries scores of the subgroups, nonparametric tests were performed. Variables associated with caries were included in a binary logistic regression analysis. RESULTS: At D(1-6) FS and D(1+2) FS level, the differences between the regions were statistically significant (P = 0.005 and P = 0.01, respectively). Regression analysis identified the variables 'use of fluoridated toothpaste', 'fissure sealants', and 'ethnic origin' as factors significant to the prevention of caries at various stages. CONCLUSION: In a population with low caries prevalence, significant differences between subgroups could only be found when initial lesions were included.
Authors: Ana Luiza de Souza; Ewald M Bronkhorst; Nico H J Creugers; Soraya C Leal; Jo E Frencken Journal: Int Dent J Date: 2014-02-10 Impact factor: 2.607
Authors: Ana Paula D Ribeiro; Isadora P Maciel; Ana Luiza de Souza Hilgert; Ewald M Bronkhorst; Jo E Frencken; Soraya C Leal Journal: Int Dent J Date: 2017-11-01 Impact factor: 2.607
Authors: Jana Schmidt; Mandy Vogel; Tanja Poulain; Wieland Kiess; Christian Hirsch; Dirk Ziebolz; Rainer Haak Journal: Int J Environ Res Public Health Date: 2022-03-02 Impact factor: 3.390