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- Title
Prevalence of metabolic syndrome and associated factors among patients with chronic Chagas disease.
- Authors
Xavier, Isis Gabrielli Gomes; Vieira, Marcelo Carvalho; Rodrigues Junior, Luiz Fernando; Sperandio da Silva, Gilberto Marcelo; da Silva, Paula Simplicio; de Holanda, Marcelo Teixeira; Maciel, Erica Rodrigues; Carneiro, Fernanda Martins; Mazzoli-Rocha, Flavia; Sangenis, Luiz Henrique Conde; Mendes, Fernanda de Souza Nogueira Sardinha; Hasslocher-Moreno, Alejandro Marcel; de Sousa, Andrea Silvestre; da Costa, Andrea Rodrigues; Saraiva, Roberto Magalhães; do Brasil, Pedro Emmanuel Alvarenga Americano; Mediano, Mauro Felippe Felix
- Abstract
The increase in life expectancy and the migration of individuals with Chagas disease (ChD) from rural to urban centers exposes them to the development of chronic-degenerative abnormalities that may increase the prevalence of metabolic syndrome (MetS). The present study aimed to identify the prevalence of MetS and its components in individuals with chronic ChD. This is a cross-sectional study with 361 patients of both sexes, aging >18 years, followed at a national reference center (Rio de Janeiro, Brazil). MetS diagnosis followed the International Diabetes Federation 2005 criteria. The association between the variables was determined through logistic regression models. The mean age was and 60.7±10.8 years. About half (56.2%) were female and the majority self-reported their race as mulatto (59.8%). The percentage of individuals with MetS was 40.4%. The variables independently associated with MetS were age (OR 1.06; 95%CI 1.04–1.09), high education levels (OR 0.36; 95%CI 0.17–0.79) and cardiac form with heart failure (OR 0.34; 95%CI 0.17–0.68). Therefore, a high prevalence of MetS was found in this Brazilian chronic ChD cohort. The identification of the associated factors can facilitate the development of effective approaches for preventing and managing MetS in ChD patients.
- Subjects
INTERNATIONAL Diabetes Federation; CHAGAS' disease; METABOLIC syndrome; CHRONICALLY ill; INNER cities; AGING; LOGISTIC regression analysis
- Publication
PLoS ONE, 2021, Vol 16, Issue 4, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0249116