{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Bof de Andrade F"],"funding":["Fundação de Amparo à Pesquisa do Estado de Minas Gerais"],"pagination":["e0275985"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9560520"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["17(10)"],"pubmed_abstract":["<h4>Objectives</h4>This study aimed to evaluate the existence of socioeconomic inequalities related to the prevalence of multimorbidity in the Brazilian population aged 60 and older.<h4>Methods</h4>This was a cross-sectional study with data from the last Brazilian National Health Survey (PNS) collected in 2019. Multimorbidity was the dependent variable and was defined as the presence of two or more chronic diseases. All the diseases were assessed based on a self-reported previous medical diagnosis. Education and per capita family income were the measures of socioeconomic position. Socioeconomic inequalities related to multimorbidity were assessed using two complex measures of inequality; the Slope Index of Inequality (SII) and the Concentration Index (CI).<h4>Results</h4>The prevalence of "],"journal":["PloS one"],"pubmed_title":["Education and income-related inequalities in multimorbidity among older Brazilian adults."],"pmcid":["PMC9560520"],"funding_grant_id":["APQ-00573-21"],"pubmed_authors":["Torres JL","Nunes BP","Facchini LA","Thume E","Bof de Andrade F"],"additional_accession":[]},"is_claimable":false,"name":"Education and income-related inequalities in multimorbidity among older Brazilian adults.","description":"<h4>Objectives</h4>This study aimed to evaluate the existence of socioeconomic inequalities related to the prevalence of multimorbidity in the Brazilian population aged 60 and older.<h4>Methods</h4>This was a cross-sectional study with data from the last Brazilian National Health Survey (PNS) collected in 2019. Multimorbidity was the dependent variable and was defined as the presence of two or more chronic diseases. All the diseases were assessed based on a self-reported previous medical diagnosis. Education and per capita family income were the measures of socioeconomic position. Socioeconomic inequalities related to multimorbidity were assessed using two complex measures of inequality; the Slope Index of Inequality (SII) and the Concentration Index (CI).<h4>Results</h4>The prevalence of ","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-05T12:33:50.364Z","creation":"2025-04-05T12:33:50.364Z"},"accession":"S-EPMC9560520","cross_references":{"pubmed":["36227899"],"doi":["10.1371/journal.pone.0275985"]}}