Cargando…
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...
Autores principales: | , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783728398930018304 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8308922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT mielemariaj maternalnutritionstatusassociatedwithpregnancyrelatedadverseoutcomes AT souzarenatot maternalnutritionstatusassociatedwithpregnancyrelatedadverseoutcomes AT calderoniracemam maternalnutritionstatusassociatedwithpregnancyrelatedadverseoutcomes AT feitosafranciscoe maternalnutritionstatusassociatedwithpregnancyrelatedadverseoutcomes AT leitedeboraf maternalnutritionstatusassociatedwithpregnancyrelatedadverseoutcomes AT rochafilhoedilbertoa maternalnutritionstatusassociatedwithpregnancyrelatedadverseoutcomes AT vettorazzijanete maternalnutritionstatusassociatedwithpregnancyrelatedadverseoutcomes AT mayrinkjussara maternalnutritionstatusassociatedwithpregnancyrelatedadverseoutcomes AT fernandeskaraynag maternalnutritionstatusassociatedwithpregnancyrelatedadverseoutcomes AT vieiramatiasc maternalnutritionstatusassociatedwithpregnancyrelatedadverseoutcomes AT pacagnellarodolfoc maternalnutritionstatusassociatedwithpregnancyrelatedadverseoutcomes AT cecattijoseg maternalnutritionstatusassociatedwithpregnancyrelatedadverseoutcomes |