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Assessment of the Relationship between Neighborhood Characteristics and Dental Caries Severity among Low-Income African-Americans: A Multilevel Approach

Identifieur interne : 001938 ( Ncbi/Curation ); précédent : 001937; suivant : 001939

Assessment of the Relationship between Neighborhood Characteristics and Dental Caries Severity among Low-Income African-Americans: A Multilevel Approach

Auteurs : Marisol Tellez ; Woosung Sohn ; Brian A. Burt ; Amid I. Ismail

Source :

RBID : PMC:1817893

Abstract

Objectives

To assess the relationship between neighborhood effects and the severity of dental caries among low-income African-Americans.

Methods

A multistage probability sample of African-American families living in the poorest 39 census tracts in Detroit was drawn. During 2002–03, cross-sectional data of a cohort that includes 1021 caregivers were collected in the first of three waves of interviews and examinations. Multilevel analyses focused on 27 neighborhood clusters and involved a combination of individual (Level-1) and neighborhood (Level-2) data including census and geocoded (address matching to census geographic areas) information.

Results

There is significant variation in the severity of caries between low-income neighborhood clusters. Caries severity decreases with a higher number of churches, while it increases with a higher number of grocery stores in the clusters after accounting for individual characteristics. Only 14% of the inter-individual variability in caries was explained by classical individual risk factors for this condition.

Conclusion

Neighborhoods contribute something unique to caregivers’ oral health, beyond socioeconomic position and individual risk factors. Multilevel interventions are necessary to reduce disparities among African-Americans and churches may offer a promising venue from which to conduct them.


Url:
PubMed: 16570748
PubMed Central: 1817893

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PMC:1817893

Le document en format XML

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<p id="P32">A multistage probability sample of African-American families living in the poorest 39 census tracts in Detroit was drawn. During 2002–03, cross-sectional data of a cohort that includes 1021 caregivers were collected in the first of three waves of interviews and examinations. Multilevel analyses focused on 27 neighborhood clusters and involved a combination of individual (Level-1) and neighborhood (Level-2) data including census and geocoded (address matching to census geographic areas) information.</p>
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