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Maternal Nutrition Status Associated with Pregnancy-Related Adverse Outcomes

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...

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Autores principales: Miele, Maria J, Souza, Renato T, Calderon, Iracema M, Feitosa, Francisco E, Leite, Debora F, Rocha Filho, Edilberto A, Vettorazzi, Janete, Mayrink, Jussara, Fernandes, Karayna G, Vieira, Matias C, Pacagnella, Rodolfo C, Cecatti, José G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8308922/
https://www.ncbi.nlm.nih.gov/pubmed/34371906
http://dx.doi.org/10.3390/nu13072398
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author Miele, Maria J
Souza, Renato T
Calderon, Iracema M
Feitosa, Francisco E
Leite, Debora F
Rocha Filho, Edilberto A
Vettorazzi, Janete
Mayrink, Jussara
Fernandes, Karayna G
Vieira, Matias C
Pacagnella, Rodolfo C
Cecatti, José G.
author_facet Miele, Maria J
Souza, Renato T
Calderon, Iracema M
Feitosa, Francisco E
Leite, Debora F
Rocha Filho, Edilberto A
Vettorazzi, Janete
Mayrink, Jussara
Fernandes, Karayna G
Vieira, Matias C
Pacagnella, Rodolfo C
Cecatti, José G.
author_sort Miele, Maria J
collection PubMed
description 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.
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spelling pubmed-83089222021-07-25 Maternal Nutrition Status Associated with Pregnancy-Related Adverse Outcomes Miele, Maria J Souza, Renato T Calderon, Iracema M Feitosa, Francisco E Leite, Debora F Rocha Filho, Edilberto A Vettorazzi, Janete Mayrink, Jussara Fernandes, Karayna G Vieira, Matias C Pacagnella, Rodolfo C Cecatti, José G. Nutrients Article 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. MDPI 2021-07-13 /pmc/articles/PMC8308922/ /pubmed/34371906 http://dx.doi.org/10.3390/nu13072398 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Miele, Maria J
Souza, Renato T
Calderon, Iracema M
Feitosa, Francisco E
Leite, Debora F
Rocha Filho, Edilberto A
Vettorazzi, Janete
Mayrink, Jussara
Fernandes, Karayna G
Vieira, Matias C
Pacagnella, Rodolfo C
Cecatti, José G.
Maternal Nutrition Status Associated with Pregnancy-Related Adverse Outcomes
title Maternal Nutrition Status Associated with Pregnancy-Related Adverse Outcomes
title_full Maternal Nutrition Status Associated with Pregnancy-Related Adverse Outcomes
title_fullStr Maternal Nutrition Status Associated with Pregnancy-Related Adverse Outcomes
title_full_unstemmed Maternal Nutrition Status Associated with Pregnancy-Related Adverse Outcomes
title_short Maternal Nutrition Status Associated with Pregnancy-Related Adverse Outcomes
title_sort maternal nutrition status associated with pregnancy-related adverse outcomes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8308922/
https://www.ncbi.nlm.nih.gov/pubmed/34371906
http://dx.doi.org/10.3390/nu13072398
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