Factors associated with fetal macrosomia
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng spa |
Título da fonte: | Revista de Saúde Pública |
Texto Completo: | https://www.revistas.usp.br/rsp/article/view/164324 |
Resumo: | OBJECTIVE: To evaluate the clinical factors, as well as weight gain, in a group of pregnant women, associating them with fetal macrosomia in a public institution in Antioquia, Colombia, from 2010-2017. METHODS: A case-control study, using secondary information registries. Cases were defined using newborn weight of ≥ 4000g, while controls were defined as newborn weight between 3000– 3999g. A proportion ratio (PR) was established to evaluate factors associated with macrosomia, and a generalized linear model (GLM) of Poisson regression with robust variance was used to evaluate the aspects that best explained macrosomia in the neonate. RESULTS: 122 pregnant women participated in the study, of which 611 were cases and 61 were controls. Of the participants, 44.3% had pre-pregnancy overweight and 48.4% had excess gestational weight gain. Statistically significant differences were found between the groups in the following variables: pre-pregnancy BMI (p = 0.004), gestational weight gain (p = 0.000), gestational diabetes (p = 0.000), and type of delivery (p = 0.004). According to the regression model, a macrosomic newborn is 3.5 times more likely in women with excessive gestational weight gain (95%CI 1.78-7.18) and twice more likely in women who have gestational diabetes (95%CI 1.51-2.76). Of women with pre-pregnancy excess weight, 63% had excess gestational weight gain. CONCLUSIONS: Within this cohort, pre-pregnancy BMI, excess weight gain in pregnancy, and the presence of gestational diabetes were associated with an increased risk of neonatal macrosomia. pre-pregnancy BMI and weight gain in pregnancy are modifiable risk factors that are responsive to nutrition interventions, which can minimize adverse perinatal outcomes. |
id |
USP-23_dafa672f1630e80ced5c8f6bc62a030d |
---|---|
oai_identifier_str |
oai:revistas.usp.br:article/164324 |
network_acronym_str |
USP-23 |
network_name_str |
Revista de Saúde Pública |
repository_id_str |
|
spelling |
Factors associated with fetal macrosomiaFactores asociados a la macrosomía fetalFetal MacrosomiaRisk FactorsBirth WeightBody Weight GainPrenatal Nutritional Physiological PhenomenaMaternal and Child HealthMacrosomía FetalFatores de RiescoPeso al NacerAumento de PesoFenómenos Fisiológicos de la Nutrición PrenatalSalud Materno-InfantilOBJECTIVE: To evaluate the clinical factors, as well as weight gain, in a group of pregnant women, associating them with fetal macrosomia in a public institution in Antioquia, Colombia, from 2010-2017. METHODS: A case-control study, using secondary information registries. Cases were defined using newborn weight of ≥ 4000g, while controls were defined as newborn weight between 3000– 3999g. A proportion ratio (PR) was established to evaluate factors associated with macrosomia, and a generalized linear model (GLM) of Poisson regression with robust variance was used to evaluate the aspects that best explained macrosomia in the neonate. RESULTS: 122 pregnant women participated in the study, of which 611 were cases and 61 were controls. Of the participants, 44.3% had pre-pregnancy overweight and 48.4% had excess gestational weight gain. Statistically significant differences were found between the groups in the following variables: pre-pregnancy BMI (p = 0.004), gestational weight gain (p = 0.000), gestational diabetes (p = 0.000), and type of delivery (p = 0.004). According to the regression model, a macrosomic newborn is 3.5 times more likely in women with excessive gestational weight gain (95%CI 1.78-7.18) and twice more likely in women who have gestational diabetes (95%CI 1.51-2.76). Of women with pre-pregnancy excess weight, 63% had excess gestational weight gain. CONCLUSIONS: Within this cohort, pre-pregnancy BMI, excess weight gain in pregnancy, and the presence of gestational diabetes were associated with an increased risk of neonatal macrosomia. pre-pregnancy BMI and weight gain in pregnancy are modifiable risk factors that are responsive to nutrition interventions, which can minimize adverse perinatal outcomes.OBJETIVO: Analizar factores clínicos y ganancia de peso en gestantes y su asociación con la macrosomía fetal. MÉTODOS: Estudio de casos y controles a partir de registros secundarios de información en una institución pública en Antioquia, Colombia, entre 2010 y 2017. Se definieron como casos los recién nacidos con peso ≥ 4.000 g y como controles aquellos con peso entre 3.000 y 3.999 g. Participaron 122 gestantes, 61 casos y 61 controles. Se estableció razón de proporción para evaluar los factores asociados con la macrosomía y se realizó un modelo lineal generalizado de regresión de Poisson con varianza robusta para evaluar los aspectos que mejor explicaron la macrosomía en el neonato. MÉTODOS: Un estudio de casos y controles, utilizando registros de información secundaria. Se definieron casos utilizando un peso de recién nacido de ≥ 4000 g, mientras que los controles se definieron como el peso del recién nacido entre 3000–3999g. Se estableció una relación de proporción (RP) para evaluar los factores asociados con macrosomía y un modelo lineal generalizado (GLM) de regresión de Poisson con varianza robusta se utilizó para evaluar los aspectos que mejor explicaban la macrosomía en el neonato. RESULTADOS: Del total de participantes, 44,3% tuvieron exceso de peso pregestacional y 48,4% ganancia de peso gestacional excesiva. Se hallaron diferencias estadísticamente significativas entre los grupos en las variables índice de masa corporal pregestacional (p = 0,004), ganancia de peso gestacional (p = 0,000), diabetes gestacional (p = 0,000) y tipo de parto (p = 0,004). Según el modelo de regresión, fue 3.5 veces más probable un recién nacido macrosómico en mujeres con ganancia de peso gestacional excesiva (IC95% 1,78-7,18) y fue dos veces más probable en aquellas que presentaron diabetes gestacional (IC95% 1,51-2,76). De las mujeres con exceso de peso pregestacional, 63% tuvieron ganancia de peso excesiva. CONCLUSIONES: El índice de masa corporal pregestacional elevado, el aumento excesivo de peso en el embarazo y la presencia de diabetes gestacional se asocian con un mayor riesgo de macrosomía del neonato. Estos constituyen factores de riesgo modificables que son susceptibles de intervención nutricional, con el fin de minimizar los resultados perinatales adversos.Universidade de São Paulo. Faculdade de Saúde Pública2019-11-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfapplication/xmlhttps://www.revistas.usp.br/rsp/article/view/16432410.11606/s1518-8787.2019053001269Revista de Saúde Pública; Vol. 53 (2019); 100Revista de Saúde Pública; Vol. 53 (2019); 100Revista de Saúde Pública; v. 53 (2019); 1001518-87870034-8910reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USPengspahttps://www.revistas.usp.br/rsp/article/view/164324/157640https://www.revistas.usp.br/rsp/article/view/164324/157641https://www.revistas.usp.br/rsp/article/view/164324/157642Copyright (c) 2019 Revista de Saúde Públicainfo:eu-repo/semantics/openAccessAgudelo-Espitia, VanessaParra-Sosa, Beatriz ElenaRestrepo-Mesa, Sandra L2019-12-10T12:07:05Zoai:revistas.usp.br:article/164324Revistahttps://www.revistas.usp.br/rsp/indexONGhttps://www.revistas.usp.br/rsp/oairevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2019-12-10T12:07:05Revista de Saúde Pública - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Factors associated with fetal macrosomia Factores asociados a la macrosomía fetal |
title |
Factors associated with fetal macrosomia |
spellingShingle |
Factors associated with fetal macrosomia Agudelo-Espitia, Vanessa Fetal Macrosomia Risk Factors Birth Weight Body Weight Gain Prenatal Nutritional Physiological Phenomena Maternal and Child Health Macrosomía Fetal Fatores de Riesco Peso al Nacer Aumento de Peso Fenómenos Fisiológicos de la Nutrición Prenatal Salud Materno-Infantil |
title_short |
Factors associated with fetal macrosomia |
title_full |
Factors associated with fetal macrosomia |
title_fullStr |
Factors associated with fetal macrosomia |
title_full_unstemmed |
Factors associated with fetal macrosomia |
title_sort |
Factors associated with fetal macrosomia |
author |
Agudelo-Espitia, Vanessa |
author_facet |
Agudelo-Espitia, Vanessa Parra-Sosa, Beatriz Elena Restrepo-Mesa, Sandra L |
author_role |
author |
author2 |
Parra-Sosa, Beatriz Elena Restrepo-Mesa, Sandra L |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Agudelo-Espitia, Vanessa Parra-Sosa, Beatriz Elena Restrepo-Mesa, Sandra L |
dc.subject.por.fl_str_mv |
Fetal Macrosomia Risk Factors Birth Weight Body Weight Gain Prenatal Nutritional Physiological Phenomena Maternal and Child Health Macrosomía Fetal Fatores de Riesco Peso al Nacer Aumento de Peso Fenómenos Fisiológicos de la Nutrición Prenatal Salud Materno-Infantil |
topic |
Fetal Macrosomia Risk Factors Birth Weight Body Weight Gain Prenatal Nutritional Physiological Phenomena Maternal and Child Health Macrosomía Fetal Fatores de Riesco Peso al Nacer Aumento de Peso Fenómenos Fisiológicos de la Nutrición Prenatal Salud Materno-Infantil |
description |
OBJECTIVE: To evaluate the clinical factors, as well as weight gain, in a group of pregnant women, associating them with fetal macrosomia in a public institution in Antioquia, Colombia, from 2010-2017. METHODS: A case-control study, using secondary information registries. Cases were defined using newborn weight of ≥ 4000g, while controls were defined as newborn weight between 3000– 3999g. A proportion ratio (PR) was established to evaluate factors associated with macrosomia, and a generalized linear model (GLM) of Poisson regression with robust variance was used to evaluate the aspects that best explained macrosomia in the neonate. RESULTS: 122 pregnant women participated in the study, of which 611 were cases and 61 were controls. Of the participants, 44.3% had pre-pregnancy overweight and 48.4% had excess gestational weight gain. Statistically significant differences were found between the groups in the following variables: pre-pregnancy BMI (p = 0.004), gestational weight gain (p = 0.000), gestational diabetes (p = 0.000), and type of delivery (p = 0.004). According to the regression model, a macrosomic newborn is 3.5 times more likely in women with excessive gestational weight gain (95%CI 1.78-7.18) and twice more likely in women who have gestational diabetes (95%CI 1.51-2.76). Of women with pre-pregnancy excess weight, 63% had excess gestational weight gain. CONCLUSIONS: Within this cohort, pre-pregnancy BMI, excess weight gain in pregnancy, and the presence of gestational diabetes were associated with an increased risk of neonatal macrosomia. pre-pregnancy BMI and weight gain in pregnancy are modifiable risk factors that are responsive to nutrition interventions, which can minimize adverse perinatal outcomes. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-11-21 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/164324 10.11606/s1518-8787.2019053001269 |
url |
https://www.revistas.usp.br/rsp/article/view/164324 |
identifier_str_mv |
10.11606/s1518-8787.2019053001269 |
dc.language.iso.fl_str_mv |
eng spa |
language |
eng spa |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/164324/157640 https://www.revistas.usp.br/rsp/article/view/164324/157641 https://www.revistas.usp.br/rsp/article/view/164324/157642 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Revista de Saúde Pública info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Revista de Saúde Pública |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/xml |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
dc.source.none.fl_str_mv |
Revista de Saúde Pública; Vol. 53 (2019); 100 Revista de Saúde Pública; Vol. 53 (2019); 100 Revista de Saúde Pública; v. 53 (2019); 100 1518-8787 0034-8910 reponame:Revista de Saúde Pública instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista de Saúde Pública |
collection |
Revista de Saúde Pública |
repository.name.fl_str_mv |
Revista de Saúde Pública - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
revsp@org.usp.br||revsp1@usp.br |
_version_ |
1800221800688254976 |