Salivary mutans streptococci counts as indicators in caries risk assessment in 6-7-year-old Chinese children.

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Publication year
2007Source
Journal of Dentistry, 35, 2, (2007), pp. 177-80ISSN
Publication type
Article / Letter to editor

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Organization
Preventative Restorative Dentistry
Radboudumc Extern
Journal title
Journal of Dentistry
Volume
vol. 35
Issue
iss. 2
Page start
p. 177
Page end
p. 80
Subject
EBP 3: Effective Primary Care and Public Health; NCEBP 7: Effective primary care and public healthAbstract
OBJECTIVES: This study aimed to determine whether salivary mutans streptococci (MS) counts in Chinese children had any value in the prediction of new caries in the permanent dentition in the age interval of 6.5-8.5 years. METHODS: Four hundred and thirty-three 6-7-year-old children participated in this 2-year longitudinal study. Salivary MS counts were obtained at baseline with the spatula method. Dentin and enamel caries was recorded at baseline and at the follow-up, 2 years later. Spearman's correlation coefficients were computed. Past caries experience variables at baseline were entered into a multiple regression model with caries increment of the permanent dentition as dependent variable. MS counts were subsequently entered into the model to assess the additional caries predictive value. RESULTS: Spearman's correlation coefficient for MS counts and caries experience of the primary dentition at baseline was 0.48 and for MS counts and caries increment in the permanent dentition 0.12. In the multiple regression model caries increment of the permanent dentition had an adjusted R2 of 0.17 when the past caries experience variables were entered. Adding MS counts in the regression model did not change the R2 value. CONCLUSIONS: Salivary MS counts did not add any caries predictive value when past caries experience variables were used as caries predictors in this Chinese child population.
This item appears in the following Collection(s)
- Academic publications [234419]
- Electronic publications [117392]
- Faculty of Medical Sciences [89250]
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