Objective: Examine the association between marginalization and fluorosis with caries experience in Mexican rural children aged 8-12, in Oaxaca, Mexico.
Methods: Cross-sectional study of 283 rural schoolchildren selected from two locations with high and medium levels of marginalization where the water fluoride concentration ranged from 2.0 to 2.5 ppm/F. Caries was evaluated using the DMFT index and dental fluorosis with the Thylstrup-Fejerskov Index (TFI). Socioeconomic data were collected from participants' parents, with data on the children's characteristics collected from them via a questionnaire.
Results: The prevalence of caries was 72.4% (DMFT ≥1) in the permanent dentition. The prevalence of fluorosis was 98.0% (TFI ≥4=71.4%). 54.8% of the children brushed their teeth two or more times daily. In logistic regression children living in high levels of marginalization were more likely to present caries (OR=2.11, 95% CI 1.13 - 3.93) than children living in medium levels. Children with severe fluorosis (TFI ≥4) (OR=1.93, 95% CI 1.06 - 3.53) were more likely have caries than those with TFI ⟨3.
Conclusion: Rural children with a high level of marginalization and fluorosis (TFI ≥4) were more likely to present caries. Poor oral hygiene and low dental service levels were found in both marginalized areas. Populations with medium/high marginalization are more susceptible to caries.
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http://dx.doi.org/10.1922/CDH_00017Perez07 | DOI Listing |
Community Dent Health
August 2020
Departamento de Atención a la Salud, Universidad Autonoma Metropolitana, Mexico.
Objective: Examine the association between marginalization and fluorosis with caries experience in Mexican rural children aged 8-12, in Oaxaca, Mexico.
Methods: Cross-sectional study of 283 rural schoolchildren selected from two locations with high and medium levels of marginalization where the water fluoride concentration ranged from 2.0 to 2.
Stat Methods Med Res
June 2018
3 Department of Biostatistics, College of Public Health and Health Professions College of Medicine, University of Florida, USA.
In the marginal analysis of clustered data, where the marginal distribution of interest is that of a typical observation within a typical cluster, analysis by reweighting has been introduced as a useful tool for estimating parameters of these marginal distributions. Such reweighting methods have foundation in within-cluster resampling schemes that marginalize potential informativeness due to cluster size or within-cluster covariate distribution, to which reweighting methods are asymptotically equivalent. In this paper, we introduce a reweighting scheme for the marginal analysis of clustered data that generalizes prior reweighting methods, with a particular application to measuring bivariate correlation in unpaired clustered data, in which observations of two random variables are not naturally paired at the within-cluster level.
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