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Obesity and Dental Caries in Young Children in Plymouth, United Kingdom: A Spatial Analysis

M Paisi1, E Kay1, I Kaimi2

  • 1Peninsula Dental School, Plymouth University, Plymouth, PL4 8AA, UK.

Community Dental Health
|January 31, 2018
PubMed

Insights

Childhood obesity and dental caries show spatial clustering, particularly in deprived areas. Neighbourhood factors significantly influence these health conditions, highlighting the need for geographically targeted interventions.

Area of Science:

  • Public Health
  • Spatial Epidemiology
  • Child Health

Background:

  • Childhood obesity and dental caries are significant public health concerns.
  • Understanding their spatial distribution and relationship with socioeconomic factors is crucial for effective interventions.

Purpose of the Study:

  • To investigate the spatial clustering of obesity and dental caries in young children in Plymouth, UK.
  • To assess the association between these conditions and socioeconomic deprivation.
  • To explore the impact of neighbourhood characteristics on their distribution.

Main Methods:

  • Cross-sectional study utilizing data from the National Child Measurement Programme and Local Dental Health Survey.
  • Analysis included ANOVA, Poisson models, Global Moran's I, Local Indicators of Spatial Association, and variograms.
  • Log-linear Poisson models assessed neighbourhood characteristics' influence on overweight/obesity and caries.

Main Results:

  • Deprivation predicted caries at the individual level, and both conditions at the area level.
  • Significant spatial autocorrelation was found for caries, extending up to 3 km.
  • Proportion of people on benefits was a key neighbourhood predictor for caries rates.

Conclusions:

  • Geographic location and environmental characteristics are vital for developing targeted strategies for childhood obesity and caries.
  • Interventions should consider the broader neighbourhood context to address these health issues effectively.
Abstract

Keywords:
CariesChildrenGeographic locationInequalitiesObesitySocioeconomic factors

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