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Educational inequality in Rio de Janeiro and its impact on multimorbidity: evidence from the Pró-Saúde study. A cross-sectional analysis
BACKGROUND: Information about multimorbidity is scarce in developing countries. This study aimed to estimate the association of educational attainment with occurrences of multimorbidity in a population of public employees on university campuses in Rio de Janeiro. DESIGN AND SETTING: We conducted cro...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação Paulista de Medicina - APM
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9924166/ https://www.ncbi.nlm.nih.gov/pubmed/29513787 http://dx.doi.org/10.1590/1516-3180.2017.0209100917 |
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author | Jantsch, Adelson Guaraci Alves, Ronaldo Fernandes Santos Faerstein, Eduardo |
author_facet | Jantsch, Adelson Guaraci Alves, Ronaldo Fernandes Santos Faerstein, Eduardo |
author_sort | Jantsch, Adelson Guaraci |
collection | PubMed |
description | BACKGROUND: Information about multimorbidity is scarce in developing countries. This study aimed to estimate the association of educational attainment with occurrences of multimorbidity in a population of public employees on university campuses in Rio de Janeiro. DESIGN AND SETTING: We conducted cross-sectional analyses on baseline data (1999-2001) from 3,253 participants in the Pró-Saúde study, conducted in Brazil. METHODS: The prevalence of multimorbidity, defined as a self-reported history of medical diagnoses of two or more chronic conditions, was estimated according to sex, age, smoking, obesity and educational level. The association between education and multimorbidity was estimated using odds ratios (OR) and the relative and slope indices of inequality, in order to quantify the degree of educational inequality among individuals with multimorbidity in this population. RESULTS: Greater age, female sex, smoking and obesity had direct associations with multimorbidity; and tobacco exposure and obesity also showed direct relationships with poorer educational level. There was a monotonic inverse linear trend between educational level and the presence of multimorbidity among women, with twice the odds (OR 2.47; 95% confidence interval, CI: 1.42-4.40) between extremities of schooling categories. There was excess multimorbidity of 22% at the lowest extremity of schooling, thus showing that women with worse educational status were more affected by the outcome. No trend and no excess multimorbidity was seen among men. CONCLUSIONS: Educational inequality is an important determinant for development of multimorbidity. Men and women experience its effect differently. Researchers need to consider that sex may be an effect modifier in multimorbidity studies. |
format | Online Article Text |
id | pubmed-9924166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Associação Paulista de Medicina - APM |
record_format | MEDLINE/PubMed |
spelling | pubmed-99241662023-02-14 Educational inequality in Rio de Janeiro and its impact on multimorbidity: evidence from the Pró-Saúde study. A cross-sectional analysis Jantsch, Adelson Guaraci Alves, Ronaldo Fernandes Santos Faerstein, Eduardo Sao Paulo Med J Original Article BACKGROUND: Information about multimorbidity is scarce in developing countries. This study aimed to estimate the association of educational attainment with occurrences of multimorbidity in a population of public employees on university campuses in Rio de Janeiro. DESIGN AND SETTING: We conducted cross-sectional analyses on baseline data (1999-2001) from 3,253 participants in the Pró-Saúde study, conducted in Brazil. METHODS: The prevalence of multimorbidity, defined as a self-reported history of medical diagnoses of two or more chronic conditions, was estimated according to sex, age, smoking, obesity and educational level. The association between education and multimorbidity was estimated using odds ratios (OR) and the relative and slope indices of inequality, in order to quantify the degree of educational inequality among individuals with multimorbidity in this population. RESULTS: Greater age, female sex, smoking and obesity had direct associations with multimorbidity; and tobacco exposure and obesity also showed direct relationships with poorer educational level. There was a monotonic inverse linear trend between educational level and the presence of multimorbidity among women, with twice the odds (OR 2.47; 95% confidence interval, CI: 1.42-4.40) between extremities of schooling categories. There was excess multimorbidity of 22% at the lowest extremity of schooling, thus showing that women with worse educational status were more affected by the outcome. No trend and no excess multimorbidity was seen among men. CONCLUSIONS: Educational inequality is an important determinant for development of multimorbidity. Men and women experience its effect differently. Researchers need to consider that sex may be an effect modifier in multimorbidity studies. Associação Paulista de Medicina - APM 2018-03-05 /pmc/articles/PMC9924166/ /pubmed/29513787 http://dx.doi.org/10.1590/1516-3180.2017.0209100917 Text en © 2022 by Associação Paulista de Medicina https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons license. |
spellingShingle | Original Article Jantsch, Adelson Guaraci Alves, Ronaldo Fernandes Santos Faerstein, Eduardo Educational inequality in Rio de Janeiro and its impact on multimorbidity: evidence from the Pró-Saúde study. A cross-sectional analysis |
title | Educational inequality in Rio de Janeiro and its impact on multimorbidity: evidence from the Pró-Saúde study. A cross-sectional analysis |
title_full | Educational inequality in Rio de Janeiro and its impact on multimorbidity: evidence from the Pró-Saúde study. A cross-sectional analysis |
title_fullStr | Educational inequality in Rio de Janeiro and its impact on multimorbidity: evidence from the Pró-Saúde study. A cross-sectional analysis |
title_full_unstemmed | Educational inequality in Rio de Janeiro and its impact on multimorbidity: evidence from the Pró-Saúde study. A cross-sectional analysis |
title_short | Educational inequality in Rio de Janeiro and its impact on multimorbidity: evidence from the Pró-Saúde study. A cross-sectional analysis |
title_sort | educational inequality in rio de janeiro and its impact on multimorbidity: evidence from the pró-saúde study. a cross-sectional analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9924166/ https://www.ncbi.nlm.nih.gov/pubmed/29513787 http://dx.doi.org/10.1590/1516-3180.2017.0209100917 |
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