Maternal nutrition status associated with pregnancy : related adverse outcomes

• Autor(a) principal: Miele, Maria Julia de Oliveira
• Data de Publicação: 2021
• Outros Autores: Souza, Renato Teixeira, Calderon, Iracema de Mattos Paranhos, Feitosa, Francisco Edson de Lucena, Leite, Debora Farias Batista, Rocha Filho, Edilberto Alves Pereira da, Vettorazzi, Janete, Novais, Jussara de Souza Mayrink, Fernandes, Karayna Gil, Vieira, Matias Costa, Pacagnella, Rodolfo de Carvalho, Cecatti, Jose Guilherme, Preterm SAMBA study group
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFRGS
• Texto Completo: http://hdl.handle.net/10183/257242
• topic: Nutrição materna; Nascimento prematuro; Pré-eclâmpsia; Recém-nascido pequeno para a idade gestacional; Diabetes gestacional; Maternal nutrition; Preterm birth; Preeclampsia; Small-for-gestational-age; Gestational diabetes mellitus

Although 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.