Ontology highlight
ABSTRACT: Background
To identify multimorbidity patterns, by sex, according to sociodemographic and lifestyle in ELSA-Brasil.Methods
Cross-sectional study with 14,516 participants from ELSA-Brasil (2008-2010). Fuzzy c-means was used to identify multimorbidity patterns of 2+ chronic morbidities, where the consequent morbidity had to occur in at least 5% of all cases. Association rule (O/E≥1.5) was used to identify co-occurrence of morbidities, in each cluster, by sociodemographic and lifestyle factors.Results
The prevalence of multimorbidity was higher in women (73.7%) compared to men (65.3%). Among women, cluster 1 was characterized by hypertension/diabetes (13.2%); cluster 2 had no overrepresented morbidity; and cluster 3 all participants had kidney disease. Among men, clust
SUBMITTER: Marques LP
PROVIDER: S-EPMC10201182 | biostudies-literature | 2023 Jan-Dec
REPOSITORIES: biostudies-literature