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1.
J Public Health (Oxf) ; 43(2): e161-e170, 2021 06 07.
Artigo em Inglês | MEDLINE | ID: mdl-32323723

RESUMO

BACKGROUND: We evaluated the effect of maternal gestational weight gain (GWG) and pre-pregnancy weight on blood pressure (BP) of children 6 years after delivery. METHODS: Cross-sectional study that compared the anthropometric measurements of 181 mothers and their children's BP 6 years after delivery. The BP was measured by the auscultatory method. We used log-binomial regression to investigate the association of pre-pregnancy body mass index (BMI) and GWG categories with BP in mid-childhood. RESULTS: The prevalence of elevated BP in children was 26.5%. Maternal pre-pregnancy overweight and concurrent excessive GWG were positively associated with elevated BP at 6 years of age. Mothers with pre-pregnancy overweight and excessive GWG were more likely to have children with elevated BP at 6 years of age (OR = 2.05; P = 0.018) compared to mothers who were of normal weight pre-pregnancy and experienced appropriate GWG. We also found that mothers with pre-pregnancy BMI ≥25 kg/m2 and concurrent excessive GWG were more likely to have children with elevated diastolic blood pressure (OR = 2.72; P = 0.005). CONCLUSIONS: Pre-pregnancy overweight/obesity had impact on BP in mid-childhood. Interventions aimed at reducing cardiovascular diseases in children should promote weight loss in women of reproductive age rather than in pregnant women.


Assuntos
Ganho de Peso na Gestação , Pressão Sanguínea , Índice de Massa Corporal , Criança , Estudos Transversais , Feminino , Idade Gestacional , Humanos , Sobrepeso/epidemiologia , Gravidez
2.
J Pediatr (Rio J) ; 95(2): 128-154, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-29787700

RESUMO

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.


Assuntos
Peso ao Nascer , Macrossomia Fetal/epidemiologia , Brasil/epidemiologia , Diabetes Gestacional , Feminino , Macrossomia Fetal/etiologia , Idade Gestacional , Humanos , Recém-Nascido , Gravidez , Prevalência , Fatores de Risco , Aumento de Peso
3.
J. pediatr. (Rio J.) ; J. pediatr. (Rio J.);95(2): 128-154, Mar.-Apr. 2019. tab, graf
Artigo em Inglês | LILACS | ID: biblio-1002458

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.


Resumo Objetivo: Descrever os principais preditores para o excesso de peso ao nascer em crianças brasileiras. Fontes dos dados: Revisão sistemática feita nos bancos de dados bibliográficos: PubMed/Medline, Cochrane, Scopus, Web of Science e Lilacs. A pesquisa na literatura cinzenta foi feita na base de dados Google Acadêmico. A análise do risco de viés foi adaptada da escala de Downs e Black, usada para avaliar a metodologia dos estudos incluídos. Síntese dos dados: Com o uso das classificações macrossomia fetal (> 4.000 g ou ≥ 4.000 g) e grande para idade gestacional acima do percentil 90, foram encontrados 64 fatores de risco para excesso de peso ao nascer em 33 artigos científicos nas cinco regiões do país. Dos 64 fatores de risco, 31 foram significativamente associados a excesso de peso ao nascer, os mais prevalentes foram ganho de peso gestacional excessivo, índice de massa corporal pré-gestacional ≥25 kg/m2 e diabetes mellitus gestacional. Conclusão: Os principais preditores para o excesso de peso ao nascer no Brasil são fatores de risco modificáveis. O estabelecimento de um estado nutricional adequado no período gestacional e mesmo após o parto parece ser a qualidade e a frequência do acompanhamento dos órgãos de saúde junto às mães e seus filhos.


Assuntos
Humanos , Feminino , Gravidez , Recém-Nascido , Peso ao Nascer , Macrossomia Fetal/epidemiologia , Macrossomia Fetal/etiologia , Brasil/epidemiologia , Aumento de Peso , Prevalência , Fatores de Risco , Idade Gestacional , Diabetes Gestacional
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