Maternal nutrition status associated with pregnancy-related adverse outcomes

Detalhes bibliográficos
Autor(a) principal: Miele, Maria J.
Data de Publicação: 2021
Outros Autores: Souza, Renato T., Calderon, Iracema M. [UNESP], 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.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/nu13072398
http://hdl.handle.net/11449/229113
Resumo: 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 Maternal nutrition status associated with pregnancy-related adverse outcomesGestational diabetes mellitusMaternal nutritionPreeclampsiaPreterm birthSmall-for-gestational-ageAlthough 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.Department of Obstetrics and Gynecology School of Medicine University of Campinas (UNICAMP)Department of Gynecology and Obstetrics Botucatu Medical School Sao Paulo State University (Unesp)MEAC–Maternity School of the Federal University of CearáDepartment of Maternal and Child Health Federal University of PernambucoDepartment of Obstetrics and Gynecology Maternity Hospital Federal University of RSDepartment of Gynecology and Obstetrics Jundiai School of MedicineDivision of Women and Children’s Health School of Life Course Sciences Faculty of Life Sciences and MedicineDepartment of Gynecology and Obstetrics Botucatu Medical School Sao Paulo State University (Unesp)Universidade Estadual de Campinas (UNICAMP)Universidade Estadual Paulista (UNESP)MEAC–Maternity School of the Federal University of CearáUniversidade Federal de Pernambuco (UFPE)Federal University of RSJundiai School of MedicineFaculty of Life Sciences and MedicineMiele, Maria J.Souza, Renato T.Calderon, Iracema M. [UNESP]Feitosa, Francisco E.Leite, Debora F.Rocha Filho, Edilberto A.Vettorazzi, JaneteMayrink, JussaraFernandes, Karayna G.Vieira, Matias C.Pacagnella, Rodolfo C.Cecatti, José G.2022-04-29T08:30:35Z2022-04-29T08:30:35Z2021-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/nu13072398Nutrients, v. 13, n. 7, 2021.2072-6643http://hdl.handle.net/11449/22911310.3390/nu130723982-s2.0-85109536658Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengNutrientsinfo:eu-repo/semantics/openAccess2024-08-16T14:07:07Zoai:repositorio.unesp.br:11449/229113Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-16T14:07:07Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Maternal nutrition status associated with pregnancy-related adverse outcomes
title Maternal nutrition status associated with pregnancy-related adverse outcomes
spellingShingle Maternal nutrition status associated with pregnancy-related adverse outcomes
Miele, Maria J.
Gestational diabetes mellitus
Maternal nutrition
Preeclampsia
Preterm birth
Small-for-gestational-age
title_short 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_sort Maternal nutrition status associated with pregnancy-related adverse outcomes
author Miele, Maria J.
author_facet Miele, Maria J.
Souza, Renato T.
Calderon, Iracema M. [UNESP]
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_role author
author2 Souza, Renato T.
Calderon, Iracema M. [UNESP]
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.
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual de Campinas (UNICAMP)
Universidade Estadual Paulista (UNESP)
MEAC–Maternity School of the Federal University of Ceará
Universidade Federal de Pernambuco (UFPE)
Federal University of RS
Jundiai School of Medicine
Faculty of Life Sciences and Medicine
dc.contributor.author.fl_str_mv Miele, Maria J.
Souza, Renato T.
Calderon, Iracema M. [UNESP]
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.
dc.subject.por.fl_str_mv Gestational diabetes mellitus
Maternal nutrition
Preeclampsia
Preterm birth
Small-for-gestational-age
topic Gestational diabetes mellitus
Maternal nutrition
Preeclampsia
Preterm birth
Small-for-gestational-age
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.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-01
2022-04-29T08:30:35Z
2022-04-29T08:30:35Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.3390/nu13072398
Nutrients, v. 13, n. 7, 2021.
2072-6643
http://hdl.handle.net/11449/229113
10.3390/nu13072398
2-s2.0-85109536658
url http://dx.doi.org/10.3390/nu13072398
http://hdl.handle.net/11449/229113
identifier_str_mv Nutrients, v. 13, n. 7, 2021.
2072-6643
10.3390/nu13072398
2-s2.0-85109536658
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Nutrients
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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