Influence of socioeconomic status on oral disease burden: a population-based study

Background Dental caries is associated with Biological, behavioral, socioeconomic, and environmental factors; however, socioeconomic status is a distal determinant of dental caries development that modulates exposure to risk and protective factors. This study aimed to analyze the socioeconomic facto...

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Published in:BMC oral health Vol. 21; no. 1; pp. 1 - 608
Main Authors: de Lucena, Edson Hilan Gomes, da Silva, Rênnis Oliveira, Barbosa, Maria Letícia, de Araújo, Elza Cristina Farias, Pereira, Antonio Carlos, Cavalcanti, Yuri Wanderley
Format: Journal Article
Language:English
Published: London BioMed Central Ltd 30-11-2021
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Summary:Background Dental caries is associated with Biological, behavioral, socioeconomic, and environmental factors; however, socioeconomic status is a distal determinant of dental caries development that modulates exposure to risk and protective factors. This study aimed to analyze the socioeconomic factors associated with the concentration of oral diseases in a population-based study in Brazil. Methods This is a quantitative, analytical, cross-sectional study based on secondary data from the SB São Paulo 2015 epidemiological survey. A total of 17,560 subjects were included. The concentration of oral disease in the population was estimated by the oral disease burden (ODB) variable. The ODB consists of four components: dental caries; tooth loss; need for dental prosthesis and periodontal condition. Thus, the total score on the ODB could vary between 0 and 4, with the highest score indicating the worst possible situation. ODB was analyzed in multivariate negative binomial regression, and multivariate binary logistic regression analysis. The following factors were included as independent variables: age group, skin color, socioeconomic factors, family income and Oral Impact on Daily Performance (OIDP). Results In the sample, 86.9% had no minimum ODP component. Negative multivariate binomial regression showed a statistically significant relationship (p < 0.005) between ODB and all variables analyzed (skin color, family income, education, OIDP results and age range). The adjusted multivariate binary logistic regression showed that the individuals most likely to have at least one component of ODB were nonwhite (25.5%), had a family income of up to R$ 1500.00/month (19.6%), had only completed primary education (19.1%), and reported that their oral health had an impact on their daily activities (57.6%). Older adults individuals were two times more likely than adolescents to have an ODB component. Conclusions ODB is associated with factors related to social inequality. Adults and older adults individuals had the highest cumulative number of ODB components. Keywords: Oral health, Global Burden of Disease, Socioeconomic factors
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ISSN:1472-6831
1472-6831
DOI:10.1186/s12903-021-01970-w