2017 Oral health & preventive dent…

Caries Prevalence and Risk Assessment in Thuringian Infants, Germany.

,

Oral health & preventive dentistry Vol. 15 (5) : 489-494 • Jan 2017

PURPOSE: To determine the caries prevalence and experience in Thuringian infants and to assess their caries risk. MATERIAL AND METHODS: The subjects were participants in a regional preventive programme, a birth cohort study with the aim of preventing caries. In the first year of life, children were invited to a dental examination at the Jena University Hospital. Dental caries was scored using WHO diagnostic criteria at the d1-level without radiography. Children were categorised as being of low, moderate or high risk for caries according to the caries-risk assessment tool of the American Academy of Pediatric Dentistry (AAPD). RESULTS: 512 children (mean age 6.7 +/- 2.2 months) were examined. 58.2% (n = 298) of all children had teeth (2.21 +/- 2.76). Caries prevalence of cavitated carious lesions was 1.7%, and prevalence of non-cavitated carious lesions was 7.7% in children who had teeth. Caries experience was 0.3 +/- 1.0 d1-4mfs/0.2 +/- 1.5 d3-4mfs (range of 0 to 16). Children with caries were on average 10.8 +/- 3.2 months old, while children without caries were 6.6 +/- 2.1 months. One hundred sixty-nine children (33.1%) were categorised at high risk for caries, and 98 already had teeth. CONCLUSION: Although caries prevalence and experience was relatively low in infants, one third of all children were categorised as being at high caries risk. Early dental visits are necessary to detect the first signs of caries, to assess the caries risk and to establish a dental home with a risk-related recall system. The caries-risk assessment tool (CAT) of the AAPD can assist the clinician in the decision-making process.

No clinical trial protocols linked to this paper

Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.
PICO Elements

No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.

Paper Details
MeSH Terms
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.