Results 1 to 10 of about 17,048 (208)

Risk Factors for Macrosomia in Multipara: A Multi-Center Retrospective Study

open access: yesChildren, 2022
The increased incidence of macrosomia has caused an enormous burden after the transition from the almost 40-year one-child policy to the universal two-child policy in 2015 and further to the three-child policy in 2021 in China.
Yuyan Ma, Shangrong Fan, Juan Juan
exaly   +3 more sources

Association of menarche age with macrosomia and modified effect from dietary pattern: findings from the Chinese pregnant women [PDF]

open access: yesFrontiers in Nutrition
BackgroundAge at menarche (AAM) is increasingly identified as essential factor of various perinatal complications. However, evidence on AAM with incident macrosomia remains to be determined, as does the potential modifying effect of behavioral factors ...
Yuan Jin   +14 more
doaj   +2 more sources

Prevalence, risk factors and outcomes of macrosomia in Africa: a systematic review and meta-analysis [PDF]

open access: yesBMJ Open
Objective Macrosomia is an emerging but neglected obstetric challenge in Africa, associated with potentially life-threatening complications to both the mother and the fetus, including maternal and neonatal morbidity and mortality.
Segun Bello   +4 more
doaj   +2 more sources

Prevalence of macrosomia and relation of maternal risk factors with macrosomia [PDF]

open access: yesIranian Journal of Neonatology, 2014
Background: Macrosomia is a term applied to newborns with a birth weight of 4000 gr or above. Perinatal mortality and morbidity is increased in fetal macrosomia. Clavicular fracture, injury to brachial plexus, and hypoglycemia are important side effects.
Mahnaz - Mardani*   +3 more
doaj   +2 more sources

The association of maternal pre-pregnancy body mass index with macrosomia: a birth cohort study from China [PDF]

open access: yesPeerJ
Objective To investigate the association between pre-pregnancy body mass index (BMI) and the risk of macrosomia through a preconception-early pregnancy-birth cohort in China.
Mingxin Yan   +8 more
doaj   +3 more sources

Biomarkers for Macrosomia Prediction in Pregnancies Affected by Diabetes

open access: yesFrontiers in Endocrinology, 2018
Large birthweight, or macrosomia, is one of the commonest complications for pregnancies affected by diabetes. As macrosomia is associated with an increased risk of a number of adverse outcomes for both the mother and offspring, accurate antenatal ...
Alexis Shub, Elif I Ekinci
exaly   +3 more sources

Macrosomia [PDF]

open access: yesObstetrics & Gynecology, 2020
Suspected macrosomia is encountered commonly in obstetric practice. As birth weight increases, the likelihood of labor abnormalities, shoulder dystocia, birth trauma, and permanent injury to the newborn increases. The purpose of this document is to quantify those risks, address the accuracy and limitations of methods for estimating fetal weight, and ...
  +6 more sources

Nomogram-based risk prediction of macrosomia: a case-control study

open access: yesBMC Pregnancy and Childbirth, 2022
Background Macrosomia is closely associated with poor maternal and fetal outcome. But there is short of studies on the risk of macrosomia in early pregnancy.
Jing Du   +7 more
doaj   +1 more source

Risk factors combine in a complex manner in assessment for macrosomia

open access: yesBMC Public Health, 2023
Background Macrosomia is a serious public health concern. This study aimed to examine the combined effects of various risk factors on macrosomia. Methods The China Labor and Delivery Survey was a multicenter cross-sectional study that included 96 ...
Yi-Wen Wang, Yan Chen, Yong-Jun Zhang
doaj   +1 more source

Fetal macrosomia [PDF]

open access: yesObstetrics, Gynaecology & Reproductive Medicine, 2020
Birthweight has increased in the last century partly attributed to increasing maternal obesity and prevalence of gestational diabetes. Although changes in mean birthweight reflect the trends and demography of the population, increased risk of adverse outcomes occurs at the extremes of the distribution (i.e. in small and large infants).
Vieira, Matias C.   +2 more
  +5 more sources

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