Dataset Information

Counseling on Early Childhood Caries transmission by dentists.

ABSTRACT: High levels of Streptococcus mutans on teeth of young children are predictive of Early Childhood Caries (ECC). Transmission from mother-to-child is common and studies have demonstrated treatment of the mother results in less ECC. The objective of this study was to determine how dentists have adopted the practice of counseling about ECC.In 2006 as part of a larger study on dental care for pregnant women, we surveyed 829 general dentists in Oregon. The questionnaire contained questions to capture the extent to which general dentists have adopted counseling pregnant women about ECC transmission, to describe personal and practice characteristics, and examine how dentists' views on the ease of adopting of new procedures related to ECC counseling. Multivariate logistic regression was used to identify separate and additive effects of demographic and practice characteristics, attitudes, and beliefs.The adjusted odds of a dentist who strongly believed in the link between mothers and babies and provided ECC counseling were 1.60 (95% CI 1.3-2.0, P<0.01). The odds of a dentist who reported discussing ECC with staff members and provided counseling were 2.7 (95% CI 1.7-4.3, P<0.01). Male dentists were less likely to counsel patients than female dentists (Adjusted OR=0.5, 95% CI 0.3-1.0, p<0.05).The strongest predictors of counseling patients about ECC were dentists' belief in the evidence of caries transmission and dentists' discussion of ECC during staff meetings.

SUBMITTER: Milgrom P

PROVIDER: S-EPMC3855324 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Counseling on Early Childhood Caries transmission by dentists.

Milgrom Peter P Huebner Colleen E CE Mancl Lloyd L Garson Gayle G Grembowski David D

Journal of public health dentistry 20120913 2

<h4>Objective</h4>High levels of Streptococcus mutans on teeth of young children are predictive of Early Childhood Caries (ECC). Transmission from mother-to-child is common and studies have demonstrated treatment of the mother results in less ECC. The objective of this study was to determine how dentists have adopted the practice of counseling about ECC.<h4>Methods</h4>In 2006 as part of a larger study on dental care for pregnant women, we surveyed 829 general dentists in Oregon. The questionnai ...[more]

PMID: 22970775

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Project description:Dental caries is characterized by a dysbiotic shift at the biofilm-tooth surface interface, yet comprehensive biochemical characterizations of the biofilm are scant. We used metabolomics to identify biochemical features of the supragingival biofilm associated with early childhood caries (ECC) prevalence and severity. The study's analytical sample comprised 289 children ages 3 to 5 (51% with ECC) who attended public preschools in North Carolina and were enrolled in a community-based cross-sectional study of early childhood oral health. Clinical examinations were conducted by calibrated examiners in community locations using International Caries Detection and Classification System (ICDAS) criteria. Supragingival plaque collected from the facial/buccal surfaces of all primary teeth in the upper-left quadrant was analyzed using ultra-performance liquid chromatography-tandem mass spectrometry. Associations between individual metabolites and 18 clinical traits (based on different ECC definitions and sets of tooth surfaces) were quantified using Brownian distance correlations (dCor) and linear regression modeling of log2-transformed values, applying a false discovery rate multiple testing correction. A tree-based pipeline optimization tool (TPOT)-machine learning process was used to identify the best-fitting ECC classification metabolite model. There were 503 named metabolites identified, including microbial, host, and exogenous biochemicals. Most significant ECC-metabolite associations were positive (i.e., upregulations/enrichments). The localized ECC case definition (ICDAS ≥1 caries experience within the surfaces from which plaque was collected) had the strongest correlation with the metabolome (dCor P = 8 × 10-3). Sixteen metabolites were significantly associated with ECC after multiple testing correction, including fucose (P = 3.0 × 10-6) and N-acetylneuraminate (p = 6.8 × 10-6) with higher ECC prevalence, as well as catechin (P = 4.7 × 10-6) and epicatechin (P = 2.9 × 10-6) with lower. Catechin, epicatechin, imidazole propionate, fucose, 9,10-DiHOME, and N-acetylneuraminate were among the top 15 metabolites in terms of ECC classification importance in the automated TPOT model. These supragingival biofilm metabolite findings provide novel insights in ECC biology and can serve as the basis for the development of measures of disease activity or risk assessment.

Project description:<p><strong>Purpose:</strong> Dental caries is characterized by a dysbiotic shift at the biofilm-tooth surface interface, yet comprehensive biochemical characterizations of the biofilm are scant. We used metabolomics to identify biochemical features of the supragingival biofilm associated with early childhood caries (ECC) prevalence and severity. </p><p><strong>Methods:</strong> The study’s analytical sample comprised 289 children ages 3-5 (51% with ECC) who attended public preschools in North Carolina and were enrolled in a community-based cross-sectional study of early childhood oral health. Clinical examinations were conducted by calibrated examiners in community locations using ICDAS criteria. Supragingival plaque collected from the facial/buccal surfaces of all primary teeth in the upper-left quadrant were analyzed using Ultra Performance Liquid Chromatography-tandem Mass Spectrometry. Associations between individual metabolites and 18 clinical traits (based on different ECC definitions and sets of tooth surfaces) were quantified using Brownian distance correlations (dCor) and linear regression modeling of log2-transformed values, applying a False Discovery Rate multiple testing correction. A tree-based pipeline optimization tool (TPOT)-machine learning process was used to identify the best-fitting ECC classification metabolite model. </p><p><strong>Results:</strong> There were 503 named metabolites identified, including microbial, host and exogenous biochemicals. Most significant ECC-metabolite associations were positive (i.e., upregulations/enrichments). The localized ECC case definition (ICDAS≥1 caries experience within the surfaces from which plaque was collected) had the strongest correlation with the metabolome (dCor p=8x10-3). Sixteen metabolites were significantly associated with ECC after multiple testing correction, including: fucose (p=3.0x10-6) and N-acetylneuraminate (p=6.8x10-6) with higher ECC prevalence; catechin (p=4.7x10-6) and epicatechin (p=2.9x10-6) with lower. Catechin, epicatechin, imidazole propionate, fucose, 9,10-DiHOME, and N-acetylneuraminate were among the top 15 metabolites in terms of ECC classification importance in the automated TPOT model. </p><p><strong>Conclusion:</strong> These supragingival biofilm metabolite findings provide novel insights in ECC biology and can serve as the basis for the development of measures of disease activity or risk assessment.</p>

Dataset Information

Counseling on Early Childhood Caries transmission by dentists.

Publications

Counseling on Early Childhood Caries transmission by dentists.

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