Future risk of metabolic syndrome in women with a previous LGA delivery stratified by gestational glucose tolerance: a prospective cohort study

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http://hdl.handle.net/10138/238198

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BMC Pregnancy and Childbirth. 2018 Aug 10;18(1):326

Title: Future risk of metabolic syndrome in women with a previous LGA delivery stratified by gestational glucose tolerance: a prospective cohort study
Author: Hakkarainen, Heidi; Huopio, Hanna; Cederberg, Henna; Voutilainen, Raimo; Heinonen, Seppo
Publisher: BioMed Central
Date: 2018-08-10
URI: http://hdl.handle.net/10138/238198
Abstract: Abstract Background Whether the delivery of a large-for-gestational-age (LGA) infant predicts future maternal metabolic syndrome (MetS) is not known. To this aim, we investigated the incidence of MetS and its components in women with or without a history of gestational diabetes mellitus (GDM) with a view to the birth weight of the offspring. Methods Eight hundred seventy six women treated for their pregnancies in Kuopio University Hospital in 1989–2009 underwent a follow-up study (mean follow-up time 7.3 (SD 5.1) years), of whom 489 women with GDM and 385 normoglycemic controls. The women were stratified into two groups according to the newborn’s birth weight: 10-90th percentile (appropriate-for-gestational-age; AGA) (n = 662) and > 90th percentile (LGA) (n = 116). MetS and its components were evaluated in the follow-up study according to the International Diabetes Federation criteria. Results LGA vs. AGA delivery was associated with a higher incidence of MetS at follow-up in women with a background of GDM (54.4% vs. 43.6%), but not in women without GDM. Conclusion An LGA delivery in women with GDM is associated with a higher risk of future MetS and this group is optimal to study preventive measures for MetS. In contrast, an LGA delivery after a normoglycemic pregnancy was not associated with an increased future maternal MetS risk.
Subject: Gestational diabetes mellitus
Metabolic syndrome
Large-for-gestational-age
Birth weight
Rights: The Author(s).


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