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Patterns of metabolic syndrome and associated factors in women from the ELSA-Brasil: a latent class analysis approach.
Galvão, Nila Mara Smith; Matos, Sheila Maria Alvim de; Almeida, Maria da Conceição Chagas de; Gabrielli, Ligia; Barreto, Sandhi Maria; Aquino, Estela M L; Schmidt, Maria Inês; Amorim, Leila Denise Alves Ferreira.
Affiliation
  • Galvão NMS; Universidade do Estado da Bahia, Salvador, Brasil.
  • Matos SMA; Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brasil.
  • Almeida MDCC; Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brasil.
  • Gabrielli L; Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brasil.
  • Barreto SM; Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brasil.
  • Aquino EML; Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brasil.
  • Schmidt MI; Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.
  • Amorim LDAF; Instituto de Matemática e Estatística, Universidade Federal da Bahia, Salvador, Brasil.
Cad Saude Publica ; 39(12): e00039923, 2023.
Article in En | MEDLINE | ID: mdl-38088734
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metabolic Syndrome / Hyperglycemia / Hypertension Limits: Adult / Aged / Female / Humans / Middle aged Country/Region as subject: America do sul / Brasil Language: En Journal: Cad Saude Publica Journal subject: SAUDE PUBLICA Year: 2023 Document type: Article Affiliation country: Brazil Country of publication: Brazil
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metabolic Syndrome / Hyperglycemia / Hypertension Limits: Adult / Aged / Female / Humans / Middle aged Country/Region as subject: America do sul / Brasil Language: En Journal: Cad Saude Publica Journal subject: SAUDE PUBLICA Year: 2023 Document type: Article Affiliation country: Brazil Country of publication: Brazil