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Published on: December 31, 2017
Children's oral health-related behaviours and early childhood caries: A latent class analysis
Miguel A Simancas-Pallares1, Jeannie Ginnis1, William F Vann1
1Division of Pediatric and Public Health, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Insights
Identifying clusters of early childhood oral health behaviors (OHBs) is crucial. A favorable OHB cluster was linked to better oral health outcomes, while an unfavorable cluster showed higher rates of early childhood caries (ECC).
Area of Science:
- Pediatric Dentistry
- Public Health
- Behavioral Science
Background:
- Early childhood caries (ECC) is a significant public health issue.
- Oral health behaviors (OHBs) in early childhood are modifiable risk factors for ECC.
- Understanding clusters of OHBs can inform targeted interventions.
Purpose of the Study:
- To identify distinct clusters of modifiable early childhood oral health-related behaviors (OHBs).
- To quantify the association between these OHB clusters and clinical/parent-reported measures of early childhood oral health.
Main Methods:
- Cross-sectional study of 8,033 preschool-age children in North Carolina.
- Latent class analysis used to identify clusters of OHBs (oral hygiene, diet, dental home).
- Associations examined with early childhood caries (ECC) prevalence, severity, and untreated disease.
Main Results:
- Two OHB clusters identified: favorable (74%) and unfavorable (26%).
- Favorable cluster showed better hygiene, lower sugar intake, and higher dental home likelihood.
- Unfavorable cluster had significantly higher ECC prevalence, caries burden, and untreated disease.
Conclusions:
- Clustering modifiable ECC risk factors is important for population studies.
- Health promotion may benefit from focusing on groups with similar behavioral patterns.
- Targeting behavioral clusters can improve early childhood oral health outcomes.
Objective:
In this cross-sectional study in a large community-based sample of preschool-age children, we sought to identify distinct clusters of modifiable early childhood oral health-related behaviours (OHBs) and quantify their association with clinical and parent-reported measures of early childhood oral health.
Methods:
We relied upon a questionnaire (n = 8033; 11% in Spanish) and clinical oral health data (n = 6404; early childhood caries [ECC] prevalence = 54%] collected in the context of an epidemiologic study of early childhood oral health among 3- to 5-year-old children in North Carolina. Latent class analysis was used to identify clusters of modifiable OHBs based on parents' responses to 6 questionnaire items pertaining to their children's oral hygiene, diet and dental home. The optimal number of clusters was determined based on measures of model fit and interpretability. We examined associations of OHB clusters with clinical and parent-reported child oral health status (ie, ECC prevalence, severity and proportion with untreated disease) using bivariate association tests and multivariable regression modelling with marginal effects estimation accounting for clustered data. We used Mplus v.8.6 (Muthén & Muthén, Los Angeles, CA, USA) and Stata v.16.1 (StataCorp, College Station, TX, USA) for data analyses.
Results:
We identified 2 OHB clusters, a favourable (74%) and an unfavourable (26%) one. Children in the favourable OHB cluster had better oral hygiene practices (ie, tooth brushing frequency and fluoridated toothpaste use), lower consumption frequency of sugar-containing snacks and beverages, less frequent reports of night-time bottle-feeding history and a higher likelihood of a dental home. Children in the unfavourable cluster had significantly higher ECC prevalence (57% vs 53%), caries burden (mean dmfs = 9.3 vs 7.6), untreated disease (43% vs 33%) and worse parent-reported oral health status than the favourable cluster.
Conclusions:
Our findings demonstrate the importance and utility of clustering common, modifiable ECC risk factors in population studies - health promotion efforts may centre on groups of people rather than individual behavioural risk factors.
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