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Dayanne de Aguiar Viana

ORCID: 0000-0003-1674-3952
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A5102004594
Research Areas
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Nursing Diagnosis and Documentation
  • Diabetes Management and Education
 Diagnosis of metabolic syndrome in nursing professionals: An accuracy study
OPENALEX - Publications 
Érica Velasco Dias Gomes Rebeca de Souza Vasconcelos Natália Maria Freitas Coelho Lorena de Carvalho Almeida Dandara Almeida Reis da Silva and 26 more Monique Magnavita Borba da Fonseca Cerqueira Jeane Magnavita da Fonseca Cerqueira Sarah dos Santos Conceição Johelle de Santana Passos‐Soares Lucélia Batista Neves Cunha Magalhães Iracema Lua Ana Claúdia Morais Godoy Figueredo Vitória Cézar Santos Gonçalves Brito Sandra Lúcia Fernandes Dayanne de Aguiar Viana Ruan Pablo Duarte Freitas Gabriella Moreira Requião Luiz Alberto da Silva Lima Barbara Kraychete Hayes Isabelle Matos Pinheiro Maurício Mitsuo Monção Antônio Carlos dos Santos Souza Simone Seixas da Cruz Antônio Marcos Tosoli Gomes Rodrigo Fernandes Weyll Pimentel Barbara Oliveira Nardes Letícia Costa Lopes Neiva Sueli Santana Gonçalves Bastos Argemiro D’Oliveira Magno Conceição das Mercês Julita Maria Freitas Coelho

Metabolic Syndrome (MetS) represents a group of cardiovascular risk factors. This article aims to evaluate the accuracy tools MetS diagnosis in Nursing professionals from Primary Health Care (PHC) Bahia, Brazil. A cross-sectional study with random sample selected according essential health information for diagnostic MetS. For diagnostic, we used EGIR, NCEP-ATPIII, AACE, IDF, Barbosa et al . (2006), and IDF/AHA/NHLBI (defined as gold standard) definition. Sensitivity, specificity, predictive...

10.1371/journal.pone.0295985 article EN cc-by PLoS ONE 2024-06-10
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