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Associations of ethnicity/race and socioeconomic status with early childhood caries patterns
Walter J Psoter1, David G Pendrys, Douglas E Morse
1New York University College of Dentistry, Department of Epidemiology & Health Promotion, 345 East 24th Street, New York, NY 10010, USA. wp9@nyu.edu
Objectives:
The purpose of this project was to evaluate ethnicity/race, household income and caregiver education level as predictors of (1) any early childhood caries, and (2) each of four proposed patterns of primary dentition caries.
Methods:
Between February 1994 and September 1995, five examiners visually examined Arizona pre-school children ages 5-59 months old. Self-reported demographic information including family income, caregiver education level and ethnicity/race were obtained at the time of examination. Multivariate analyses were conducted to assess the association of income, education and ethnicity/race with a child having any caries and with each of the proposed caries patterns seen in 3850 examinations.
Results:
Income and education were inversely associated with: (1) any early childhood caries, and (2) the maxillary incisor caries pattern. A positive association between these caries patterns and minority ethnicity/race status was also identified. Three additional caries intraoral patterns demonstrated more varied associations with socioeconomic status (SES), ethnicity/race and income and education.
Conclusions:
This study supports the association of both ethnicity/race and social status with any early childhood caries. The patterns of caries were each found to be associated with specific and different socioeconomic-demographic indicators. The practical importance of these findings is that global measurement of ECC, without regard to specific caries pattern, leads to the potential for substantial non-differential misclassification of disease. The consequence of this is the potential for important ECC-SES-ethnicity/race associations to be masked. This, in turn, decreases the ability of surveys and investigations to accurately identify sub-groups of the population at greatest risk of developing ECC.
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