The objective of the research was to obtain data on the values of salivary Streptococcus mutans and Lactobacillus spp. in 12 years old children and teenagers (13 - 18 years old children), and to compare the values of these cariogenic microoorganisms in children of various ages, for the purpose of valuating the risk of caries. The sample comprised 32 persons divided into two groups. The first group included 17 children of the age of 12. The second group included 15 teenagers. The specimen of stimulated saliva, needed for the purpose of establishing the quantities of Streptococcus mutans and Lactobacillus spp., was taken by the method of CRT-bacteria, according to manufacturers instruction. In the group of 12 years old children, the distribution of salivary Lactobacillus spp. was as follows: very low values 41,1%, low values 35,2%, high values 17,6%, very high values 5,8%, while in the group of teenagers, the results were the following: very low values 26,66%, low values 33,33%, high values 40%, very high values 0%. The levels of Streptococcus mutans were the following: 12 years old children had very low values in 41,7% cases, low values in 11,7% cases, high values in 41,7% cases, very high values in 5,8% cases, while the group of teenagers had very low values in 0%, low values in 33,3%, high values in 33,3%, and very high values in 33,3% cases. The levels of Streptococcus mutans are higher in our teenage children than in younger children, while the differences in levels of Lactobacillus spp. among children of various ages do not exist. In terms of global distribution, the levels of Streptococcus mutans and Lactobacillus spp. are higher in our population than in other countries in both control groups.
AIM To examine caries risk using the Cariogram model, interactive PC program for caries risk evaluation in 12-year-old children and to correlate caries risk in children of different socioeconomic backgrounds. MATERIAL AND METHODS 109, Sarajevo 12-year-olds in three groups based on socioeconomic background. Baseline data on general health condition, diet frequency and use of fluoride were obtained. DMFT and plaque scores were calculated. Saliva analyses included lactobacillus and mutans streptococci levels in saliva, saliva secretion and buffer capacity. Scores were entered into the Cariogram model and risk was calculated for each child. RESULTS Most 12-year-old children have a medium risk of caries, with a 59.4% chance of avoiding future caries. In an average caries risk profile of children from Sarajevo the dominant sector is diet, with 12.5% risk; bacteria sector (plaque and mutans streptococci level) 10.8% risk; susceptibility (fluoride, saliva secretion and buffering capacity) 9.7% risk; circumstances (caries experience and medical history) 7.4% risk. Caries risk profiles showed that there are differences in the socioeconomic status of children with significantly greater risk in children with poor living conditions who also have the most unfavourable caries risk profiles. CONCLUSIONS The Cariogram model can successfully determine caries risk profiles for 12-year-old children of different socioeconomic status and can be used in developing preventive strategies for reducing caries risk in children.
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