Sandra Ana Czarnobay1, Caroline Kroll1, Lidiane F Schultz1, Juliana Malinovski1, Silmara Salete de Barros Silva Mastroeni2, Marco Fabio Mastroeni3. 1. Universidade da Região de Joinville (UNIVILLE), Programa de Pós-Graduação em Saúde e Meio Ambiente, Joinville, SC, Brazil. 2. Universidade da Região de Joinville (UNIVILLE), Departamento de Educação Física, Joinville, SC, Brazil. 3. Universidade da Região de Joinville (UNIVILLE), Programa de Pós-Graduação em Saúde e Meio Ambiente, Joinville, SC, Brazil. Electronic address: marco.mastroeni@univille.br.
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 (>4.000g or ≥4.000g) 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 ≥25kg/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.
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 (>4.000g or ≥4.000g) 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 ≥25kg/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.
Authors: Ila R Falcão; Rita de Cássia Ribeiro-Silva; Marcia Furquim de Almeida; Rosemeire L Fiaccone; Natanael J Silva; Enny S Paixao; Maria Yury Ichihara; Laura C Rodrigues; Mauricio L Barreto Journal: Am J Clin Nutr Date: 2021-07-01 Impact factor: 7.045