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dc.contributor.authorMiele, Maria Julia de Oliveirapt_BR
dc.contributor.authorSouza, Renato Teixeirapt_BR
dc.contributor.authorCalderon, Iracema de Mattos Paranhospt_BR
dc.contributor.authorFeitosa, Francisco Edson de Lucenapt_BR
dc.contributor.authorLeite, Debora Farias Batistapt_BR
dc.contributor.authorRocha Filho, Edilberto Alves Pereira dapt_BR
dc.contributor.authorVettorazzi, Janetept_BR
dc.contributor.authorNovais, Jussara de Souza Mayrinkpt_BR
dc.contributor.authorFernandes, Karayna Gilpt_BR
dc.contributor.authorVieira, Matias Costapt_BR
dc.contributor.authorPacagnella, Rodolfo de Carvalhopt_BR
dc.contributor.authorCecatti, Jose Guilhermept_BR
dc.contributor.authorPreterm SAMBA study grouppt_BR
dc.date.accessioned2023-04-19T03:26:52Zpt_BR
dc.date.issued2021pt_BR
dc.identifier.issn2072-6643pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/257242pt_BR
dc.description.abstractAlthough maternal nutrition has an impact on fetal development and gestational outcome, tracking maternal nutrition in outpatient practice is still complex and involves proper technical capacitation in this area. Nevertheless, the association between nutritional variables may broaden the ability to predict the occurrence of gestational disorders and prevention management. We aimed to identify factors that could indicate the probability of adverse outcomes in mid-pregnancy. From a cohort of 1165 nulliparous pregnant women without any previous disease, the nutritional status was assessed by body mass index (BMI) and mid-upper arm circumference (MUAC), associated with dietary patterns and sociodemographic characteristics. Two predictive models with nutritional status for screening the occurrence of adverse outcomes of preterm birth, gestational diabetes mellitus, small-for-gestational-age newborns and preeclampsia were developed. The odds of adverse outcomes were higher in non-white (p < 0.05) obese women and with high protein consumption. There was no significant difference between the models, with an overall accuracy of 63% for both models and a probability of success in predicting adverse outcomes (BMI = 61%, MUAC = 52%). This study of Brazilian pregnant nulliparous women offers two possible options for early tracking of adverse gestational outcomes that should be further externally validated.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofNutrients. Basel, Switzerland. Vol. 13, no. 7 (2021), 2398, 14 p.pt_BR
dc.rightsOpen Accessen
dc.subjectMaternal nutritionen
dc.subjectNutrição maternapt_BR
dc.subjectNascimento prematuropt_BR
dc.subjectPreterm birthen
dc.subjectPreeclampsiaen
dc.subjectPré-eclâmpsiapt_BR
dc.subjectRecém-nascido pequeno para a idade gestacionalpt_BR
dc.subjectSmall-for-gestational-ageen
dc.subjectDiabetes gestacionalpt_BR
dc.subjectGestational diabetes mellitusen
dc.titleMaternal nutrition status associated with pregnancy : related adverse outcomespt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001164898pt_BR
dc.type.originEstrangeiropt_BR


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