Predictors of excess birth weight in Brazil: a systematic review
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Jornal de Pediatria (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0021-75572019000200128 |
Resumo: | Abstract Objective: To describe the main predictors for excess birth weight in Brazilian children. Data sources: Systematic review carried out in the bibliographic databases: PubMed/MEDLINE, Cochrane, Scopus, Web of Science, and LILACS. The research in the gray literature was performed using the Google Scholar database. The bias risk analysis was adapted from the Downs and Black scale, used to evaluate the methodology of the included studies. Data synthesis: Using the classifications of fetal macrosomia (>4.000 g or ≥4.000 g) and large for gestational age (above the 90th percentile), 64 risk factors for excess birth weight were found in 33 scientific articles in the five regions of the country. Of the 64 risk factors, 31 were significantly associated with excess birth weight, with excess gestational weight gain, pre-gestational body mass index ≥25 kg/m2, and gestational diabetes mellitus being the most prevalent. Conclusion: The main predictors for excess birth weight in Brazil are modifiable risk factors. The implementation of adequate nutritional status in the gestational period and even after childbirth appears to be due to the quality and frequency of the follow-up of the mothers and their children by public health agencies. |
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Predictors of excess birth weight in Brazil: a systematic reviewNewbornExcess weightObesityMacrosomiaGestational weight gainSystematic reviewAbstract Objective: To describe the main predictors for excess birth weight in Brazilian children. Data sources: Systematic review carried out in the bibliographic databases: PubMed/MEDLINE, Cochrane, Scopus, Web of Science, and LILACS. The research in the gray literature was performed using the Google Scholar database. The bias risk analysis was adapted from the Downs and Black scale, used to evaluate the methodology of the included studies. Data synthesis: Using the classifications of fetal macrosomia (>4.000 g or ≥4.000 g) and large for gestational age (above the 90th percentile), 64 risk factors for excess birth weight were found in 33 scientific articles in the five regions of the country. Of the 64 risk factors, 31 were significantly associated with excess birth weight, with excess gestational weight gain, pre-gestational body mass index ≥25 kg/m2, and gestational diabetes mellitus being the most prevalent. Conclusion: The main predictors for excess birth weight in Brazil are modifiable risk factors. The implementation of adequate nutritional status in the gestational period and even after childbirth appears to be due to the quality and frequency of the follow-up of the mothers and their children by public health agencies.Sociedade Brasileira de Pediatria2019-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0021-75572019000200128Jornal de Pediatria v.95 n.2 2019reponame:Jornal de Pediatria (Online)instname:Sociedade Brasileira de Pediatria (SBP)instacron:SBPE10.1016/j.jped.2018.04.006info:eu-repo/semantics/openAccessCzarnobay,Sandra AnaKroll,CarolineSchultz,Lidiane F.Malinovski,JulianaMastroeni,Silmara Salete de Barros SilvaMastroeni,Marco Fabioeng2019-04-08T00:00:00Zoai:scielo:S0021-75572019000200128Revistahttp://www.jped.com.br/https://old.scielo.br/oai/scielo-oai.php||jped@jped.com.br1678-47820021-7557opendoar:2019-04-08T00:00Jornal de Pediatria (Online) - Sociedade Brasileira de Pediatria (SBP)false |
dc.title.none.fl_str_mv |
Predictors of excess birth weight in Brazil: a systematic review |
title |
Predictors of excess birth weight in Brazil: a systematic review |
spellingShingle |
Predictors of excess birth weight in Brazil: a systematic review Czarnobay,Sandra Ana Newborn Excess weight Obesity Macrosomia Gestational weight gain Systematic review |
title_short |
Predictors of excess birth weight in Brazil: a systematic review |
title_full |
Predictors of excess birth weight in Brazil: a systematic review |
title_fullStr |
Predictors of excess birth weight in Brazil: a systematic review |
title_full_unstemmed |
Predictors of excess birth weight in Brazil: a systematic review |
title_sort |
Predictors of excess birth weight in Brazil: a systematic review |
author |
Czarnobay,Sandra Ana |
author_facet |
Czarnobay,Sandra Ana Kroll,Caroline Schultz,Lidiane F. Malinovski,Juliana Mastroeni,Silmara Salete de Barros Silva Mastroeni,Marco Fabio |
author_role |
author |
author2 |
Kroll,Caroline Schultz,Lidiane F. Malinovski,Juliana Mastroeni,Silmara Salete de Barros Silva Mastroeni,Marco Fabio |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Czarnobay,Sandra Ana Kroll,Caroline Schultz,Lidiane F. Malinovski,Juliana Mastroeni,Silmara Salete de Barros Silva Mastroeni,Marco Fabio |
dc.subject.por.fl_str_mv |
Newborn Excess weight Obesity Macrosomia Gestational weight gain Systematic review |
topic |
Newborn Excess weight Obesity Macrosomia Gestational weight gain Systematic review |
description |
Abstract Objective: To describe the main predictors for excess birth weight in Brazilian children. Data sources: Systematic review carried out in the bibliographic databases: PubMed/MEDLINE, Cochrane, Scopus, Web of Science, and LILACS. The research in the gray literature was performed using the Google Scholar database. The bias risk analysis was adapted from the Downs and Black scale, used to evaluate the methodology of the included studies. Data synthesis: Using the classifications of fetal macrosomia (>4.000 g or ≥4.000 g) and large for gestational age (above the 90th percentile), 64 risk factors for excess birth weight were found in 33 scientific articles in the five regions of the country. Of the 64 risk factors, 31 were significantly associated with excess birth weight, with excess gestational weight gain, pre-gestational body mass index ≥25 kg/m2, and gestational diabetes mellitus being the most prevalent. Conclusion: The main predictors for excess birth weight in Brazil are modifiable risk factors. The implementation of adequate nutritional status in the gestational period and even after childbirth appears to be due to the quality and frequency of the follow-up of the mothers and their children by public health agencies. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0021-75572019000200128 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0021-75572019000200128 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1016/j.jped.2018.04.006 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Pediatria |
publisher.none.fl_str_mv |
Sociedade Brasileira de Pediatria |
dc.source.none.fl_str_mv |
Jornal de Pediatria v.95 n.2 2019 reponame:Jornal de Pediatria (Online) instname:Sociedade Brasileira de Pediatria (SBP) instacron:SBPE |
instname_str |
Sociedade Brasileira de Pediatria (SBP) |
instacron_str |
SBPE |
institution |
SBPE |
reponame_str |
Jornal de Pediatria (Online) |
collection |
Jornal de Pediatria (Online) |
repository.name.fl_str_mv |
Jornal de Pediatria (Online) - Sociedade Brasileira de Pediatria (SBP) |
repository.mail.fl_str_mv |
||jped@jped.com.br |
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1752122321782439936 |