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Acta Odontol Latinoam ; 21(1): 49-56, 2008.
Artículo en Inglés | MEDLINE | ID: mdl-18841746

RESUMEN

The aim of this investigation was to analyze the variables related to poverty and its influence on oral health in children living in a suburban area ofBuenos Aires, Argentina. The study population consisted of 1,049 children. 579 children at social risk (Group I) were recruited from five neighborhoods with critical lacks (Katzman, 1989) and divided into 2 subgroups according to age: (A) preschool children and (B) school children. 470 preschool and school children from the same district but living in homes without critical lacks served as controls (Group II). The following variables associated with poverty were analyzed: (a) parents' instructional level, (b) employment conditions, and (c) accessibilty to regular oral health care. Group I comprised children from five neighborhoods categorized according to the incidence rate of each variable. Clinical examinations were performed under similar conditions by three calibrated investigators. DMFS, dmfs, total DMFS + dmfs, DS + ds, Care Index and Loe & Silness plaque index were recorded and analyzed using Students t test, ANOVA and Chi square test (level of significance p < 0.05). Dental indicators were significantly higher in Group I than in Group II. The dental caries indicators increased as the incidence rate of the poverty-related variables rose. The highest number of children with high cariogenic risk was observed in neighborhoods with the highest social risk (c2 = 30.48; p < 0.005). The analyzed poverty-related variables seemed to be associated with factors that play a role in the dental caries development process in school and preschool children living in the Metropolitan area of Buenos Aires.


Asunto(s)
Caries Dental/epidemiología , Pobreza , Argentina/epidemiología , Estudios de Casos y Controles , Niño , Preescolar , Índice CPO , Atención Odontológica/estadística & datos numéricos , Índice de Placa Dental , Escolaridad , Humanos , Salud Bucal , Áreas de Pobreza , Salud Suburbana , Desempleo/estadística & datos numéricos
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