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Frequency of fetal macrosomia and the associated risk factors in pregnancies without gestational diabetes mellitus

INTRODUCTION: There has been an increased incidence of macrosomic newborns in the world and most of the macrosomic newborns are born from non-GDM pregnant women. The objective of this study was to determine the frequency and the associated risk factors of fetal macrosomia in non-GDM pregnant women....

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Autores principales: Usta, Akin, Usta, Ceyda Sancakli, Yildiz, Ayla, Ozcaglayan, Ruhsen, Dalkiran, Eylem Sen, Savkli, Aydin, Taskiran, Meryem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The African Field Epidemiology Network 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5398855/
https://www.ncbi.nlm.nih.gov/pubmed/28451039
http://dx.doi.org/10.11604/pamj.2017.26.62.11440
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author Usta, Akin
Usta, Ceyda Sancakli
Yildiz, Ayla
Ozcaglayan, Ruhsen
Dalkiran, Eylem Sen
Savkli, Aydin
Taskiran, Meryem
author_facet Usta, Akin
Usta, Ceyda Sancakli
Yildiz, Ayla
Ozcaglayan, Ruhsen
Dalkiran, Eylem Sen
Savkli, Aydin
Taskiran, Meryem
author_sort Usta, Akin
collection PubMed
description INTRODUCTION: There has been an increased incidence of macrosomic newborns in the world and most of the macrosomic newborns are born from non-GDM pregnant women. The objective of this study was to determine the frequency and the associated risk factors of fetal macrosomia in non-GDM pregnant women. METHODS: A total 4246 consequtive pregnant women who had no GDM was included the study population. Data was collected from hospital database of Balikesir State Hospital between January 2014 and January 2015. Statistical analysis was carried out using the independent samples t-test and chi-squared test. Logistic regression analysis was used to determine the relationships between associated risk factors and the presence of fetal macrosomia. In this analysis, fetal macrosomia was taken as the dependent variable and associated risk factors were taken as independent variables. Results are shown as odds ratios (ORs) (95% CI) in the logistic regression analysis. RESULTS: 366 of the 4246 pregnant women were diagnosed with fetal macrosomia (8.6%). Compared the control women, a statistically significant correlation between fetal macrosomia and pre-pregnancy body mass index (BMI), gestational weight gain (GWG), parity, advanced maternal age, and male fetal sex was found. Maternal BMI, and GWG were the two risk factors most strongly associated with macrosomia. CONCLUSION: The prevalance of fetal macrosomia is rising among Turkish women. High pre-pregnancy BMI and GWG represent main modifiable risk factors for macrosomia and need more attention from health care providers.
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spelling pubmed-53988552017-04-27 Frequency of fetal macrosomia and the associated risk factors in pregnancies without gestational diabetes mellitus Usta, Akin Usta, Ceyda Sancakli Yildiz, Ayla Ozcaglayan, Ruhsen Dalkiran, Eylem Sen Savkli, Aydin Taskiran, Meryem Pan Afr Med J Research INTRODUCTION: There has been an increased incidence of macrosomic newborns in the world and most of the macrosomic newborns are born from non-GDM pregnant women. The objective of this study was to determine the frequency and the associated risk factors of fetal macrosomia in non-GDM pregnant women. METHODS: A total 4246 consequtive pregnant women who had no GDM was included the study population. Data was collected from hospital database of Balikesir State Hospital between January 2014 and January 2015. Statistical analysis was carried out using the independent samples t-test and chi-squared test. Logistic regression analysis was used to determine the relationships between associated risk factors and the presence of fetal macrosomia. In this analysis, fetal macrosomia was taken as the dependent variable and associated risk factors were taken as independent variables. Results are shown as odds ratios (ORs) (95% CI) in the logistic regression analysis. RESULTS: 366 of the 4246 pregnant women were diagnosed with fetal macrosomia (8.6%). Compared the control women, a statistically significant correlation between fetal macrosomia and pre-pregnancy body mass index (BMI), gestational weight gain (GWG), parity, advanced maternal age, and male fetal sex was found. Maternal BMI, and GWG were the two risk factors most strongly associated with macrosomia. CONCLUSION: The prevalance of fetal macrosomia is rising among Turkish women. High pre-pregnancy BMI and GWG represent main modifiable risk factors for macrosomia and need more attention from health care providers. The African Field Epidemiology Network 2017-02-02 /pmc/articles/PMC5398855/ /pubmed/28451039 http://dx.doi.org/10.11604/pamj.2017.26.62.11440 Text en © Akin Usta et al. http://creativecommons.org/licenses/by/2.0/ The Pan African Medical Journal - ISSN 1937-8688. 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 Research
Usta, Akin
Usta, Ceyda Sancakli
Yildiz, Ayla
Ozcaglayan, Ruhsen
Dalkiran, Eylem Sen
Savkli, Aydin
Taskiran, Meryem
Frequency of fetal macrosomia and the associated risk factors in pregnancies without gestational diabetes mellitus
title Frequency of fetal macrosomia and the associated risk factors in pregnancies without gestational diabetes mellitus
title_full Frequency of fetal macrosomia and the associated risk factors in pregnancies without gestational diabetes mellitus
title_fullStr Frequency of fetal macrosomia and the associated risk factors in pregnancies without gestational diabetes mellitus
title_full_unstemmed Frequency of fetal macrosomia and the associated risk factors in pregnancies without gestational diabetes mellitus
title_short Frequency of fetal macrosomia and the associated risk factors in pregnancies without gestational diabetes mellitus
title_sort frequency of fetal macrosomia and the associated risk factors in pregnancies without gestational diabetes mellitus
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5398855/
https://www.ncbi.nlm.nih.gov/pubmed/28451039
http://dx.doi.org/10.11604/pamj.2017.26.62.11440
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