The lipid accumulation product is a powerful tool to predict metabolic syndrome in undiagnosed Brazilian adults (2017)
- Authors:
- Autor USP: CARVALHO, HERACLITO BARBOSA DE - FM
- Unidade: FM
- DOI: 10.1016/j.clnu.2016.12.020
- Subjects: SÍNDROME X METABÓLICA; ADULTOS; BRASILEIROS; LIPÍDEOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Clinical nutrition
- ISSN: 0261-5614
- Volume/Número/Paginação/Ano: v. 36, n. 6, p. 1693-1700, 2017
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
NASCIMENTO-FERREIRA, Marcus Vinicius et al. The lipid accumulation product is a powerful tool to predict metabolic syndrome in undiagnosed Brazilian adults. Clinical nutrition, v. 36, n. 6, p. 1693-1700, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.clnu.2016.12.020. Acesso em: 17 out. 2024. -
APA
Nascimento-ferreira, M. V., Urteaga, T. R., Campelo, R. C. V., Carvalho, H. B., Oliveira, G. da P., Landim, M. B. P., & Leal, F. L. T. (2017). The lipid accumulation product is a powerful tool to predict metabolic syndrome in undiagnosed Brazilian adults. Clinical nutrition, 36( 6), 1693-1700. doi:10.1016/j.clnu.2016.12.020 -
NLM
Nascimento-ferreira MV, Urteaga TR, Campelo RCV, Carvalho HB, Oliveira G da P, Landim MBP, Leal FLT. The lipid accumulation product is a powerful tool to predict metabolic syndrome in undiagnosed Brazilian adults [Internet]. Clinical nutrition. 2017 ; 36( 6): 1693-1700.[citado 2024 out. 17 ] Available from: https://doi.org/10.1016/j.clnu.2016.12.020 -
Vancouver
Nascimento-ferreira MV, Urteaga TR, Campelo RCV, Carvalho HB, Oliveira G da P, Landim MBP, Leal FLT. The lipid accumulation product is a powerful tool to predict metabolic syndrome in undiagnosed Brazilian adults [Internet]. Clinical nutrition. 2017 ; 36( 6): 1693-1700.[citado 2024 out. 17 ] Available from: https://doi.org/10.1016/j.clnu.2016.12.020 - A epidemiologia da AIDS em usuários de drogas injetáveis em algumas grandes cidades brasileiras
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Informações sobre o DOI: 10.1016/j.clnu.2016.12.020 (Fonte: oaDOI API)
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