Cargando…
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 fact...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638103/ https://www.ncbi.nlm.nih.gov/pubmed/34847895 http://dx.doi.org/10.1186/s12903-021-01970-w |
_version_ | 1784608885234991104 |
---|---|
author | de Lucena, Edson Hilan Gomes da Silva, Rênnis Oliveira Barbosa, Maria Letícia de Araújo, Elza Cristina Farias Pereira, Antonio Carlos Cavalcanti, Yuri Wanderley |
author_facet | de Lucena, Edson Hilan Gomes da Silva, Rênnis Oliveira Barbosa, Maria Letícia de Araújo, Elza Cristina Farias Pereira, Antonio Carlos Cavalcanti, Yuri Wanderley |
author_sort | de Lucena, Edson Hilan Gomes |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8638103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86381032021-12-02 Influence of socioeconomic status on oral disease burden: a population-based study de Lucena, Edson Hilan Gomes da Silva, Rênnis Oliveira Barbosa, Maria Letícia de Araújo, Elza Cristina Farias Pereira, Antonio Carlos Cavalcanti, Yuri Wanderley BMC Oral Health Research 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. BioMed Central 2021-11-30 /pmc/articles/PMC8638103/ /pubmed/34847895 http://dx.doi.org/10.1186/s12903-021-01970-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research de Lucena, Edson Hilan Gomes da Silva, Rênnis Oliveira Barbosa, Maria Letícia de Araújo, Elza Cristina Farias Pereira, Antonio Carlos Cavalcanti, Yuri Wanderley Influence of socioeconomic status on oral disease burden: a population-based study |
title | Influence of socioeconomic status on oral disease burden: a population-based study |
title_full | Influence of socioeconomic status on oral disease burden: a population-based study |
title_fullStr | Influence of socioeconomic status on oral disease burden: a population-based study |
title_full_unstemmed | Influence of socioeconomic status on oral disease burden: a population-based study |
title_short | Influence of socioeconomic status on oral disease burden: a population-based study |
title_sort | influence of socioeconomic status on oral disease burden: a population-based study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638103/ https://www.ncbi.nlm.nih.gov/pubmed/34847895 http://dx.doi.org/10.1186/s12903-021-01970-w |
work_keys_str_mv | AT delucenaedsonhilangomes influenceofsocioeconomicstatusonoraldiseaseburdenapopulationbasedstudy AT dasilvarennisoliveira influenceofsocioeconomicstatusonoraldiseaseburdenapopulationbasedstudy AT barbosamarialeticia influenceofsocioeconomicstatusonoraldiseaseburdenapopulationbasedstudy AT dearaujoelzacristinafarias influenceofsocioeconomicstatusonoraldiseaseburdenapopulationbasedstudy AT pereiraantoniocarlos influenceofsocioeconomicstatusonoraldiseaseburdenapopulationbasedstudy AT cavalcantiyuriwanderley influenceofsocioeconomicstatusonoraldiseaseburdenapopulationbasedstudy |