How do diet and body mass index impact dental caries in Hispanic elementary school children?

J Dent Hyg. 2013 Feb;87(1):38-46. Epub 2013 Feb 5.

Abstract

Purpose: The purpose of this observational study was to examine the association between body mass index and dental caries in Hispanic children. The research evaluated the influences of obesity, diet, parent education level, family acculturation, tooth brushing habits and gender as predictors of childhood caries.

Methods: One examiner visually screened 177 third grade students from 3 elementary schools located in southern California's Coachella Valley. The children were screened for number of decayed, missing and filled teeth (DMFT). Height, weight, age and gender determined their body mass index. Primary caregivers completed a 30-point questionnaire for each participant. Multivariate analyses accessed the association between childhood dental caries and weight status and the influences of the measured variables.

Results: Results indicate that those in the obese category had a statistically significant lower rate of DMFT than did children in the healthy weight category. Overweight children showed a higher DMFT than healthy weight children but the results were not statistically significant. Covariates that significantly influenced this association were diet and socioeconomic status.

Conclusion: Results from this study provide oral health professionals with baseline data and literature to support development of preventive programs for this population that concurrently address both obesity and oral health issues in scope and design.

Publication types

  • Observational Study

MeSH terms

  • Acculturation
  • Body Height
  • Body Mass Index*
  • Body Weight
  • California / epidemiology
  • Child
  • DMF Index
  • Dental Care / statistics & numerical data
  • Dental Caries / epidemiology*
  • Diet*
  • Educational Status
  • Female
  • Hispanic or Latino / statistics & numerical data*
  • Humans
  • Male
  • Obesity / epidemiology
  • Overweight / epidemiology
  • Parents / education
  • Sex Factors
  • Social Class
  • Toothbrushing / statistics & numerical data