Título:	Impact of metabolic syndrome components in high-risk cardiovascular disease development in older adults
Autor(es):	Barbalho, Yuri Gustavo de Sousa Stival, Marina Morato Lima, Luciano Ramos de Silva, Izabel Cristina Rodrigues da Silva, Alessandro de Oliveira Costa, Manoela Vieira Gomes da Rehem, Tânia Cristina Morais Santa Bárbara Funghetto, Silvana Schwerz
ORCID:	https://orcid.org/0000-0002-5584-998X https://orcid.org/0000-0001-6830-4914 https://orcid.org/0000-0002-2709-6335 https://orcid.org/0000-0002-6836-3583 https://orcid.org/0000-0003-3513-7034 https://orcid.org/0000-0002-2550-4307 https://orcid.org/0000-0002-9332-9029
Assunto:	Idosos Síndrome metabólica Sistema cardiovascular Envelhecimento
Data de publicação:	18-Set-2020
Editora:	Dove Press
Referência:	BARBALHO, Yuri Gustavo de Sousa et al. Impact of metabolic syndrome components in high-risk cardiovascular disease development in older adults. Clinical Interventions in Aging, v. 15, p. 1691-1700, 2020. DOI: https://doi.org/10.2147/CIA.S252589. Disponível em: https://www.dovepress.com/impact-of-metabolic-syndrome-components-in-high-risk-cardiovascular-di-peer-reviewed-article-CIA. Acesso em: 26 nov. 2020.
Abstract:	Objective: Analyze the influence between the components of metabolic syndrome and the independent risk for cardiovascular disease (CVD) in the elderly. Methods: A descriptive cross-sectional study was carried out with 205 older adults from a primary healthcare unit of the Federal District, Brazil. The cardiovascular risk was determined by the Framingham Risk Score (FRS). The National Cholesterol Evaluation Program for Adult Treatment Panel III 2001 (NCEP-ATP III) criteria were considered to analyze metabolic syndrome (MS) diagnoses. Results: There was a strong association between MS and high cardiovascular risk (OR = 8.86). The univariate analysis main findings revealed that male gender, diabetes, smoking habit, systolic blood pressure, HDL level, high blood glucose, glycated hemoglobin, and LDL level were associated with high cardiovascular risk. FRS increases significantly with the presence of four or more MS components (by 30%, if 4 components are present, and by 40%, if 5 components) when compared with the presence of three or fewer components (P <0.001). A logistic regression analysis of high-risk predictors was described to reduce the effects of confounding and bias factors. Conclusion: The identification of MS associated with high FRS values represents a cascading of adverse effects on the population’s aging process.
Unidade Acadêmica:	Faculdade UnB Ceilândia (FCE) Curso de Enfermagem (FCE-ENF)
Licença:	© 2020 Gustavo de Sousa Barbalho et al. This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www. dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
DOI:	https://doi.org/10.2147/CIA.S252589
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