Prenatal care and preterm birth in the Western Brazilian Amazon: A population-based study

2021 ◽  
pp. 1-12
Author(s):  
Clariana V. Ramos de Oliveira ◽  
Paulo A. R. Neves ◽  
Barbara H. Lourenço ◽  
Rodrigo Medeiros de Souza ◽  
Maíra B. Malta ◽  
...  
Keyword(s):  
Preterm Birth ◽  
Prenatal Care ◽  
Brazilian Amazon ◽  
Population Based ◽  
Population Based Study

scholarly journals Inequities in utilization of prenatal care: a population-based study in the Canadian province of Manitoba

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Maureen I. Heaman ◽  
Patricia J. Martens ◽  
Marni D. Brownell ◽  
Mariette J. Chartier ◽  
Kellie R. Thiessen ◽  
...  
Keyword(s):  
Prenatal Care ◽  
Population Based ◽  
Canadian Province ◽  
Population Based Study

scholarly journals Preterm Delivery; Who Is at Risk?

2021 ◽  
Vol 10 (11) ◽  
pp. 2279
Author(s):  
Dvora Kluwgant ◽  
Tamar Wainstock ◽  
Eyal Sheiner ◽  
Gali Pariente
Keyword(s):  
Risk Factors ◽  
Preterm Birth ◽  
Prenatal Care ◽  
Recurrent Pregnancy Loss ◽  
Placental Abruption ◽  
Placenta Previa ◽  
Population Based ◽  
Perinatal Morbidity ◽  
Multiple Gestations ◽  
Extremely Preterm

Preterm birth (PTB) is the leading cause of perinatal morbidity and mortality. Adverse effects of preterm birth have a direct correlation with the degree of prematurity, in which infants who are born extremely preterm (24–28 weeks gestation) have the worst outcomes. We sought to determine prominent risk factors for extreme PTB and whether these factors varied between various sub-populations with known risk factors such as previous PTB and multiple gestations. A population-based retrospective cohort study was conducted. Risk factors were examined in cases of extreme PTB in the general population, as well as various sub-groups: singleton and multiple gestations, women with a previous PTB, and women with indicated or induced PTB. A total of 334,415 deliveries were included, of which 1155 (0.35%) were in the extreme PTB group. Placenta previa (OR = 5.8, 95%CI 4.14–8.34, p < 0.001), multiple gestations (OR = 7.7, 95% CI 6.58–9.04, p < 0.001), and placental abruption (OR = 20.6, 95%CI 17.00–24.96, p < 0.001) were the strongest risk factors for extreme PTB. In sub-populations (multiple gestations, women with previous PTB and indicated PTBs), risk factors included placental abruption and previa, lack of prenatal care, and recurrent pregnancy loss. Singleton extreme PTB risk factors included nulliparity, lack of prenatal care, and placental abruption. Placental abruption was the strongest risk factor for extreme preterm birth in all groups, and risk factors did not differ significantly between sub-populations.

scholarly journals Country of first birth and neonatal outcomes in migrant and Norwegian-born parous women in Norway: a population-based study

2019 ◽  
Author(s):  
Eline Skirnisdottir Vik ◽  
Roy Miodini Nilsen ◽  
Vigdis Aasheim ◽  
Rhonda Small ◽  
Dag Moster ◽  
...  
Keyword(s):  
Preterm Birth ◽  
Population Based ◽  
Neonatal Outcomes ◽  
Migrant Women ◽  
First Birth ◽  
Population Based Study ◽  
Very Preterm ◽  
Very Preterm Birth ◽  
Adverse Neonatal Outcomes ◽  
Moderately Preterm

Abstract Background: This study compares subsequent birth outcomes in migrant women who had already had a child before arriving in Norway with those in migrant women whose first birth occurred in Norway. The aim of this study was to investigate the associations between country of first birth and adverse neonatal outcomes (very preterm birth, moderately preterm birth, post-term birth, small for gestational age, large for gestational age, low Apgar score, stillbirth and neonatal death) in parous migrant and Norwegian-born women. Methods: National population-based study including second and subsequent singleton births in Norway from 1990-2016. Data were retrieved from the Medical Birth Registry of Norway and Statistics Norway. Neonatal outcomes were compared between births to: 1) migrant women with a first birth before immigration to Norway (n=30,062) versus those with a first birth after immigration (n=66,006), and 2) Norwegian-born women with a first birth outside Norway (n=6,205) versus those with a first birth in Norway (n=514,799). Associations were estimated as crude and adjusted odds ratios (aORs) with 95% confidence intervals (CIs) using multiple logistic regression. Results: Migrant women with a first birth before immigrating to Norway had increased odds of adverse outcomes in subsequent births relative to those with a first birth after immigration: very preterm birth (22-31 gestational weeks (gwks); aOR=1.27; CI 1.09-1.48), moderately preterm birth (32-36 gwks; aOR=1.10; CI 1.02-1.18), post-term birth (≥42 gwks; aOR=1.19; CI 1.11-1.27), low Apgar score (<7 at 5 minutes; aOR=1.27; CI 1.16-1.39) and stillbirth (aOR=1.29; CI 1.05-1.58). Similar results were found in the sample of births to Norwegian-born women. Conclusions: The increased odds of adverse neonatal outcomes for migrant and Norwegian-born women who had their first births outside Norway should serve as a reminder of the importance of taking a careful obstetric history in these parous women to ensure appropriate care for their subsequent pregnancies and births in Norway. Keywords: immigration, parous women, neonatal outcomes, obstetric history, predictor

Effects of Prepregnancy Body Mass Index, Weight Gain, and Gestational Diabetes Mellitus on Pregnancy Outcomes: A Population-Based Study in Xiamen, China, 2011–2018

2019 ◽  
Vol 75 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Wei-juan Su ◽  
Yin-ling Chen ◽  
Pei-ying Huang ◽  
Xiu-lin Shi ◽  
Fang-fang Yan ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Weight Gain ◽  
Preterm Birth ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnancy Outcomes ◽  
Population Based ◽  
Population Based Study ◽  
Prepregnancy Body Mass Index

Background: It is unclear that how prepregnancy body mass index (BMI), gestational weight gain (GWG), and gestational diabetes mellitus (GDM) affect pregnancy outcomes in ­China. Thus, we explored how BMI, GWG, and GDM affect the risks of adverse pregnancy outcomes. Methods: We performed a retrospective, population-based study included all births in Xiamen, China, 2011–2018. Demographic data and pregnancy outcomes of 73,498 women were acquired from the Medical Birth Registry of Xiamen. Women were categorized into groups on prepregnancy BMI and GWG in order to assess the risk of pregnancy outcomes. Multivariable logistic regression was performed to evaluate risk factors. Results: Overall, 6,982 (9.37%) women were obese, and 8,874 (12.07%) women were overweight. Obese women are more vulnerable to cesarean delivery, preterm birth, large-for-gestational age (LGA), and macrosomia (crude OR [cOR] 2.00, 1.89–2.12; 1.35, 1.20–1.51; 2.12, 1.99–2.26; 2.53, 2.25–2.86, respectively, adjusted ORs 1.73, 1.62–1.84; 1.25, 1.10–1.42; 2.03, 1.90–2.18; 2.77, 2.44–3.16, respectively). Similar results were observed in overweight women (cORs 1.49, 1.42–1.57; 1.02, 0.91–1.15; 1.60, 1.50–1.70; 2.01, 1.78–2.26, respectively). Furthermore, women who gain weight in excessive group were 1.43, 2.06, and 2.16 times to deliver cesarean, LGA, and macrosomia, respectively. Additionally, GDM women were easily subjected to cesarean section, preterm birth, LGA, low birth weight, and macrosamia (cORs 1.52, 1.55, 1.52, 1.37, 1.27, respectively). Conclusions: Obesity prior to pregnancy, excessive GWG, and GDM were all associated with increased odds of cesarean, LGA, and macrosomia. Blood glucose and weight control before and during pregnancy are needed that may reduce the complications of pregnancy.

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