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The predictive value of weight gain and waist circumference for gestational diabetes mellitus

OBJECTIVE: The first objective of this study was to investigate the relationship between gestational diabetes mellitus (GDM) and gestational weight gain (WG), waist circumference (WC), prepregnancy, and gestational body mass index (BMI). The second aim of our study was to assess the ability of WG, W...

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Autores principales: Takmaz, Taha, Yalvaç, Ethem Serdar, Özcan, Pınar, Çoban, Ulaş, Gökmen Karasu, Ayşe Filiz, Ünsal, Mehmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Galenos Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6792050/
https://www.ncbi.nlm.nih.gov/pubmed/31673474
http://dx.doi.org/10.4274/tjod.galenos.2019.03266
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author Takmaz, Taha
Yalvaç, Ethem Serdar
Özcan, Pınar
Çoban, Ulaş
Gökmen Karasu, Ayşe Filiz
Ünsal, Mehmet
author_facet Takmaz, Taha
Yalvaç, Ethem Serdar
Özcan, Pınar
Çoban, Ulaş
Gökmen Karasu, Ayşe Filiz
Ünsal, Mehmet
author_sort Takmaz, Taha
collection PubMed
description OBJECTIVE: The first objective of this study was to investigate the relationship between gestational diabetes mellitus (GDM) and gestational weight gain (WG), waist circumference (WC), prepregnancy, and gestational body mass index (BMI). The second aim of our study was to assess the ability of WG, WC, prepregnancy, and gestational BMI with special reference to their cut-off points on predicting the risk of GDM in pregnant women in Turkey. MATERIALS AND METHODS: A total of 261 women who underwent screening for GDM with the 75-g glucose tolerance test (GTT) between 24(th) and 28(th) gestational weeks were included. According to the 75-g oral GTT results, women were classified into two groups: the GDM group and non-GDM group. The data collected included age, parity, plasma glucose level for fasting, 1- and 2-h tests, WC, prepregnancy and gestational BMI, prepregnancy weight, WG during pregnancy, gestational age at birth, and birth weight. RESULTS: WC at 20-24 weeks of gestation, prepregnancy BMI, and gestational BMI had a predictive capacity for GDM. According to our results, optimal cut-off points for the best predictive value of GDM were WC of 100 cm with a sensitivity of 84% and specificity of 70%, prepregnancy BMI of 25 kg/m(2) with a sensitivity of 81.8% and specificity of 76%, and gestational BMI of 28.3 kg/m(2) with a sensitivity of 75% and specificity of 77.4%. CONCLUSION: The measurement of prepregnancy BMI, gestational BMI, and WC may be useful in predicting the risk of GDM. Pregnant women with increased prepregnancy BMI, gestational BMI, and WC measurements may be susceptible to the development of GDM.
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spelling pubmed-67920502019-10-31 The predictive value of weight gain and waist circumference for gestational diabetes mellitus Takmaz, Taha Yalvaç, Ethem Serdar Özcan, Pınar Çoban, Ulaş Gökmen Karasu, Ayşe Filiz Ünsal, Mehmet Turk J Obstet Gynecol Clinical Investigation OBJECTIVE: The first objective of this study was to investigate the relationship between gestational diabetes mellitus (GDM) and gestational weight gain (WG), waist circumference (WC), prepregnancy, and gestational body mass index (BMI). The second aim of our study was to assess the ability of WG, WC, prepregnancy, and gestational BMI with special reference to their cut-off points on predicting the risk of GDM in pregnant women in Turkey. MATERIALS AND METHODS: A total of 261 women who underwent screening for GDM with the 75-g glucose tolerance test (GTT) between 24(th) and 28(th) gestational weeks were included. According to the 75-g oral GTT results, women were classified into two groups: the GDM group and non-GDM group. The data collected included age, parity, plasma glucose level for fasting, 1- and 2-h tests, WC, prepregnancy and gestational BMI, prepregnancy weight, WG during pregnancy, gestational age at birth, and birth weight. RESULTS: WC at 20-24 weeks of gestation, prepregnancy BMI, and gestational BMI had a predictive capacity for GDM. According to our results, optimal cut-off points for the best predictive value of GDM were WC of 100 cm with a sensitivity of 84% and specificity of 70%, prepregnancy BMI of 25 kg/m(2) with a sensitivity of 81.8% and specificity of 76%, and gestational BMI of 28.3 kg/m(2) with a sensitivity of 75% and specificity of 77.4%. CONCLUSION: The measurement of prepregnancy BMI, gestational BMI, and WC may be useful in predicting the risk of GDM. Pregnant women with increased prepregnancy BMI, gestational BMI, and WC measurements may be susceptible to the development of GDM. Galenos Publishing 2019-09 2019-10-10 /pmc/articles/PMC6792050/ /pubmed/31673474 http://dx.doi.org/10.4274/tjod.galenos.2019.03266 Text en ©Copyright 2019 by Turkish Society of Obstetrics and Gynecology | Turkish Journal of Obstetrics and Gynecology published by Galenos Publishing House. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Investigation
Takmaz, Taha
Yalvaç, Ethem Serdar
Özcan, Pınar
Çoban, Ulaş
Gökmen Karasu, Ayşe Filiz
Ünsal, Mehmet
The predictive value of weight gain and waist circumference for gestational diabetes mellitus
title The predictive value of weight gain and waist circumference for gestational diabetes mellitus
title_full The predictive value of weight gain and waist circumference for gestational diabetes mellitus
title_fullStr The predictive value of weight gain and waist circumference for gestational diabetes mellitus
title_full_unstemmed The predictive value of weight gain and waist circumference for gestational diabetes mellitus
title_short The predictive value of weight gain and waist circumference for gestational diabetes mellitus
title_sort predictive value of weight gain and waist circumference for gestational diabetes mellitus
topic Clinical Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6792050/
https://www.ncbi.nlm.nih.gov/pubmed/31673474
http://dx.doi.org/10.4274/tjod.galenos.2019.03266
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