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Diagnosis of metabolic syndrome in nursing professionals: An accuracy study.
Gomes, Érica Velasco Dias; Vasconcelos, Rebeca de Souza; Coelho, Natália Maria Freitas; Almeida, Lorena de Carvalho; Silva, Dandara Almeida Reis da; Cerqueira, Monique Magnavita Borba da Fonseca; Cerqueira, Jeane Magnavita da Fonseca; Conceição, Sarah Dos Santos; Soares, Johelle de Santana Passos; Magalhães, Lucélia Batista Neves Cunha; Lua, Iracema; Figueredo, Ana Claúdia Morais Godoy; Brito, Vitória Cézar Santos Gonçalves; Fernandes, Sandra Lúcia; Viana, Dayanne de Aguiar; Freitas, Ruan Pablo Duarte; Requião, Gabriella Moreira; Lima, Luiz Alberto da Silva; Hayes, Barbara Kraychete; Pinheiro, Isabelle Matos; Monção, Maurício Mitsuo; Souza, Antônio Carlos Dos Santos; Cruz, Simone Seixas da; Gomes, Antônio Marcos Tosoli; Pimentel, Rodrigo Fernandes Weyll; Nardes, Barbara Oliveira; Lopes, Letícia Costa; Bastos, Neiva Sueli Santana Gonçalves; D'Oliveira, Argemiro; Mercês, Magno Conceição das; Coelho, Julita Maria Freitas.
Afiliación
  • Gomes ÉVD; Department of Life Sciences, University of Bahia State (UNEB), Salvador, Bahia, Brazil.
  • Vasconcelos RS; Department of Life Sciences, University of Bahia State (UNEB), Salvador, Bahia, Brazil.
  • Coelho NMF; Department of Life Sciences, University of Bahia State (UNEB), Salvador, Bahia, Brazil.
  • Almeida LC; Department of Life Sciences, University of Bahia State (UNEB), Salvador, Bahia, Brazil.
  • Silva DARD; Department of Life Sciences, University of Bahia State (UNEB), Salvador, Bahia, Brazil.
  • Cerqueira MMBDF; Department of Life Sciences, University of Bahia State (UNEB), Salvador, Bahia, Brazil.
  • Cerqueira JMDF; Department of Life Sciences, University of Bahia State (UNEB), Salvador, Bahia, Brazil.
  • Conceição SDS; School of Health Sciences, University of Brasília (UNB), Brasília, Distrito Federal, Brazil.
  • Soares JSP; School of Odontology, Federal University of Bahia (UFBA), Salvador, Bahia Brazil.
  • Magalhães LBNC; Department of Medicine, School of Technology and Sciences (UniFTC), Salvador, Bahia Brazil.
  • Lua I; Department of Health, State University of Feira de Santana (UEFS), Feira de Santana, Bahia, Brazil.
  • Figueredo ACMG; School of Health Sciences, University of Brasília, Brasília, Distrito Federal, Brazil.
  • Brito VCSG; Department of Health Science, Federal University of Bahia (UFBA), Salvador, Bahia Brazil.
  • Fernandes SL; Department of Health Science, Federal University of Bahia (UFBA), Salvador, Bahia Brazil.
  • Viana DA; Department of Medicine, Dom Pedro II University Center (UNIDOMPEDRO), Salvador, Bahia, Brazil.
  • Freitas RPD; Department of Medicine, Dom Pedro II University Center (UNIDOMPEDRO), Salvador, Bahia, Brazil.
  • Requião GM; Department of Medicine, Dom Pedro II University Center (UNIDOMPEDRO), Salvador, Bahia, Brazil.
  • Lima LADS; Department of Social Science, State University of Bahia, Serrinha, Bahia, Brazil.
  • Hayes BK; Children's Hospital of Los Angeles, Los Angeles, California, United States of America.
  • Pinheiro IM; Department of Technology and Science, Federal Institute of Education, Science and Technology of Bahia, Salvador, Bahia, Brazil.
  • Monção MM; Department of Technology and Science, Federal Institute of Education, Science and Technology of Bahia, Salvador, Bahia, Brazil.
  • Souza ACDS; Department of Information Technology, Federal Institute of Education, Science and Technology of Bahia. Salvador, Bahia, Brazil.
  • Cruz SSD; Department of Collective Health, Federal University of Recôncavo of Bahia (UFRB), Santo Antônio de Jesus, Bahia, Brazil.
  • Gomes AMT; School of Nursing, State University of Rio de Janeiro (UERJ), Rio de Janeiro, Rio de Janeiro, Brazil.
  • Pimentel RFW; Department of Life Sciences, University of Bahia State (UNEB), Salvador, Bahia, Brazil.
  • Nardes BO; University Hospital Professor Edgard Santos (HUPES), Salvador, Bahia, Brazil.
  • Lopes LC; Institute of Health Science, Federal University of Bahia (UFBA), Salvador, Bahia Brazil.
  • Bastos NSSG; Institute of Health Science, Federal University of Bahia (UFBA), Salvador, Bahia Brazil.
  • D'Oliveira A; Institute of Health Science, Federal University of Bahia (UFBA), Salvador, Bahia Brazil.
  • Mercês MCD; Department of Health Science, Federal University of Bahia (UFBA), Salvador, Bahia Brazil.
  • Coelho JMF; Department of Life Sciences, University of Bahia State (UNEB), Salvador, Bahia, Brazil.
PLoS One ; 19(6): e0295985, 2024.
Article en En | MEDLINE | ID: mdl-38857224
ABSTRACT
Metabolic Syndrome (MetS) represents a group of cardiovascular risk factors. This article aims to evaluate the accuracy of the tools of MetS diagnosis in Nursing professionals from Primary Health Care (PHC) in Bahia, Brazil. A cross-sectional study with a random sample selected according to essential health information for the diagnostic of MetS. For MetS diagnostic, we used EGIR, NCEP-ATPIII, AACE, IDF, Barbosa et al. (2006), and IDF/AHA/NHLBI (defined as gold standard) definition. Sensitivity, specificity, predictive values, and likelihood ratio were estimated for each diagnostic tool and compared with the gold standard. Kappa statistic was used to determine the agreement between the diagnostic methods. One thousand one hundred and eleven nursing professionals were included in this study. Sensitivity varied from 15% to 95.1%, and specificity varied between 99.5% and 100%. IDF and Barbosa et al. (2006) definitions were more sensitive (95.1% and 92.8%, respectively), and EGIR, NCEP, ATP III, and IDF showed 100% specificity. IDF and Barbosa et al. (2006) use suitable metabolic syndrome identification and confirmation criteria. The highest agreement was found in the definition of the IDF, Barbosa et al. (2006) and the NCEP ATP III. Defining metabolic syndrome with a higher diagnostic accuracy could contribute to the screening and the early identification of nursing professionals with cardiovascular disease risk factors, which provide opportunities for appropriate prevention and treatment.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndrome Metabólico Límite: Adult / Female / Humans / Male / Middle aged País/Región como asunto: America do sul / Brasil Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Estados Unidos
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndrome Metabólico Límite: Adult / Female / Humans / Male / Middle aged País/Región como asunto: America do sul / Brasil Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Estados Unidos