The Characteristics of Non-Diabetic Mothers with Macrosomic Newborns
| Autor: | Meryem Gencer, Emine Coşar, Şule Yıldırım, Fatih Köksal Binnetoğlu, Nurcan Bulur, Nazan Kaymaz, Naci Topaloğlu, Fatih Battal, Mustafa Tekin, Sibel Cevizci, Hakan Aylanç |
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| Rok vydání: | 2016 |
| Předmět: |
medicine.medical_specialty
University faculty Macrosomia Child health 03 medical and health sciences 0302 clinical medicine Obstetrics and gynaecology Birth weight Sağlıklı gebelik Yenidoğan medicine 030212 general & internal medicine neoplasms Doğum ağırlığı 030219 obstetrics & reproductive medicine integumentary system business.industry Public health Newborn humanities Makrozomi Healthy pregnancy Family medicine Pediatrics Perinatology and Child Health business Non diabetic |
| Zdroj: | Güncel Pediatri. 14:23-29 |
| ISSN: | 1308-6308 1304-9054 |
| Popis: | Introduction: Fetal macrosomia is a condition with heterogeneous etiologic factors and its’ frequency is increasing in recent years. Many macrosomic infants are born without any risk factors and accurate prediction of macrosomia is not possible with only single risk factor. The aim of this study was to research the characteristics of healthy mothers without diabetes who gave birth to macrosomic infants. Materials and Methods: This case-control study comprised 291 healthy pregnant women who were monitored and delivered at Mardin Women and Children’s Hospital. Inclusion criteria were (a) no disease or conditions that may affect birth weight, (b) normal healthy pregnancy and (c) singleton live infants born between 37-42 weeks with no structural defects. A birth weight above 4.000 g was defined as macrosomic neonate. The study group was divided in two; group 1 had a birth weight less than 4.000 g and group 2 had a birth weight above 4.000 g. Characteristics of mother and newborn were analyzed to determine any association with macrosomia. Results: The logistic regression analysis results indicated that the risk of macrosomic infant were male gender of the infant [odds ratio (OR): 3.39; 95% confidence interval (CI): 2.010-5.211; p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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