Maternal nutrition status associated with pregnancy-related adverse outcomes
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , |
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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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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1808128150436052992 |