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Predictive factors for birth weight of newborns of mothers with gestational diabetes mellitus

  • Sara de Oliveira Corrêa da Silva
    Affiliations
    Mestrado Profissional em Nutrição Clínica do, Instituto de Nutrição Josué de Castro, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro (UFRJ), Av. Carlos Chagas Filho, 373, bl. J 2°, andar, sala 26, Cidade Universitária, CEP 21941.590 Rio de Janeiro, RJ, Brazil
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  • Cláudia Saunders
    Correspondence
    Corresponding author at: Mestrado Profissional em Nutrição Clínica do, Instituto de Nutrição Josué de Castro, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro (UFRJ), Av. Carlos Chagas Filho, 373, bl. J 2°, andar, sala 26, Cidade Universitária, CEP 21941.590 Rio de Janeiro, RJ, Brazil.
    Affiliations
    Mestrado Profissional em Nutrição Clínica do, Instituto de Nutrição Josué de Castro, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro (UFRJ), Av. Carlos Chagas Filho, 373, bl. J 2°, andar, sala 26, Cidade Universitária, CEP 21941.590 Rio de Janeiro, RJ, Brazil

    Maternidade Escola da, Universidade Federal do Rio de Janeiro (UFRJ), Rua das Laranjeiras, 180, Laranjeiras, CEP 22240-003 Rio de Janeiro, RJ, Brazil
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  • Lenita Zajdenverg
    Affiliations
    Maternidade Escola da, Universidade Federal do Rio de Janeiro (UFRJ), Rua das Laranjeiras, 180, Laranjeiras, CEP 22240-003 Rio de Janeiro, RJ, Brazil
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  • Luciana Novaes Moreira
    Affiliations
    Escola Nacional de Saúde Pública da Fundação, Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
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  • Sonaly Petronilho Heidelmann
    Affiliations
    Maternidade Escola da, Universidade Federal do Rio de Janeiro (UFRJ), Rua das Laranjeiras, 180, Laranjeiras, CEP 22240-003 Rio de Janeiro, RJ, Brazil
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  • Ariane Cristine dos Santos Pereira
    Affiliations
    Multiprofessional Residency Program in Perinatal Health, Maternity School, Universidade Federal do Rio de Janeiro (UFRJ), Rua das Laranjeiras, 180, Laranjeiras, CEP 22240-003 Rio de Janeiro, RJ, Brazil
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  • Patricia de Carvalho Padilha
    Affiliations
    Mestrado Profissional em Nutrição Clínica do, Instituto de Nutrição Josué de Castro, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro (UFRJ), Av. Carlos Chagas Filho, 373, bl. J 2°, andar, sala 26, Cidade Universitária, CEP 21941.590 Rio de Janeiro, RJ, Brazil

    Maternidade Escola da, Universidade Federal do Rio de Janeiro (UFRJ), Rua das Laranjeiras, 180, Laranjeiras, CEP 22240-003 Rio de Janeiro, RJ, Brazil
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  • Grupo de Pesquisa em Saúde Materna e Infantil (GPSMI – Research Group in Maternal's, Child's Health)
    Author Footnotes
    1 Research Group in Maternal’s and Child’s Health (GPSMI), Instituto de Nutrição Josué de Castro, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro (UFRJ), Av.Carlos Chagas Filho, 373, bl.J 2°, andar, sala 26, Cidade Universitária, CEP 21941.590 Rio de Janeiro, RJ, Brazil.
  • Author Footnotes
    1 Research Group in Maternal’s and Child’s Health (GPSMI), Instituto de Nutrição Josué de Castro, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro (UFRJ), Av.Carlos Chagas Filho, 373, bl.J 2°, andar, sala 26, Cidade Universitária, CEP 21941.590 Rio de Janeiro, RJ, Brazil.
Published:February 02, 2018DOI:https://doi.org/10.1016/j.diabres.2018.01.032

      Highlights

      • Weight gained during pregnancy and maternal BMI predict birth weight in gestational diabetes.
      • Early prenatal nutritional monitoring improves newborn’s birth weight.
      • These results may contribute to a review of prenatal routines.

      Abstract

      Aims

      To evaluate the predictive factors of birth weight (BW) of newborns of women with gestational diabetes mellitus (GDM).

      Methods

      A cross-sectional study was performed among pregnant women with GDM treated in a public maternity unit, Brazil. We selected 283 pregnant women, with nutritional follow-up initiated till the 28th gestational week, singleton pregnancy, without chronic diseases and with birth weight information of the newborns. The predictive factors of BW were identified by multivariate linear regression.

      Results

      Mean maternal age was 31.2 ± 5.8 years; 64.4% were non-white; 70.1% were pre-gestational overweight or obese. Mean BW was 3234.3 ± 478.8 g. An increase of 1 kg of weight in the first and third trimesters increased BW by 21 g (p = 0.01) and 27 g (p = 0.03), respectively. Similarly, the other predictive factors of BW were pre-gestational body mass index (β = 17.16, p = 0.02) and postprandial plasma glucose in the third trimester (β = 4.14, p = 0.008), in the model adjusted by gestational age at delivery (β = 194.68, p < 0.001).

      Conclusions

      The best predictors of BW were gestational age at birth, and maternal pre-gestational and gestational anthropometric characteristics. Maternal glycaemic levels may also influence BW. The results may contribute to a review of prenatal routines for pregnant women with GDM.

      Keywords

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