Sociodemographic determinants of spatial disparities in early childhood caries: An ecological analysis in Braunschweig, Germany

Objectives To identify spatial disparities in dental caries experience (measured by dmft (decayed missing filled teeth) index) of children in the city of Braunschweig and to evaluate whether these disparities can be explained by sociodemographic characteristics. Methods We examined the dental health...

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Bibliographic Details
Published in:Community dentistry and oral epidemiology 2017-10, Vol.45 (5), p.442-448
Main Authors: Meyer, Frederic, Karch, André, Schlinkmann, Kristin Maria, Dreesman, Johannes, Horn, Johannes, Rübsamen, Nicole, Sudradjat, Henny, Schubert, Rainer, Mikolajczyk, Rafael
Format: Article
Language:English
Subjects:
Child
Child, Preschool
Childhood
Children
Data processing
Daycare
Dental Care for Children - utilization
Dental caries
Dental Caries - epidemiology
Dental health
Dentistry
DMF Index
early childhood caries
ECC
Female
Finite Element Analysis
Germany - epidemiology
Health Status Disparities
Humans
Longitudinal Studies
Male
Migration
Risk Factors
Sociodemographics
spatial disparities
Spatial heterogeneity
spatial regression
Teeth
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Summary:Objectives To identify spatial disparities in dental caries experience (measured by dmft (decayed missing filled teeth) index) of children in the city of Braunschweig and to evaluate whether these disparities can be explained by sociodemographic characteristics. Methods We examined the dental health of children aged 3‐6 years visiting a daycare centre (DCC) in the metropolitan area of Braunschweig between 2009 and 2014 by combining data on dental health from the annual visits of the local health service with aggregated data on sociodemographic factors for Braunschweig's city districts. We assessed longitudinal patterns of change in average dmft index at district level from 2009 to 2014 using a finite mixture model. We analysed spatial autocorrelation of the district's average dmft indices by Moran's I to identify spatial clusters. With a spatial lag model, we evaluated whether sociodemographic risk factors (data from 2012) were associated with high dmft scores (data from 2014) and whether spatial disparities remained after adjusting for these sociodemographic characteristics. Results The average dmft index decreased slightly (β=−0.048; P
ISSN:0301-5661
1600-0528
DOI:10.1111/cdoe.12308