Smokeless tobacco use, birth weight, and gestational age: population based, prospective cohort study of 1217 women in Mumbai, India

Abstract BackgroundTo estimate Population Attributable Fractions (PAFs) and Generalized Impact Fractions (GIFs) for LBW following scenarios to remove or decrease prenatal use of caffeine or water pipe.Methods‎Using data of 861 pregnant women from a population-based prospective cohort study ‎in suburbs of Bandar Abbas city (2016-2018), PAFs and GIFs were calculated based on the relative risk scale. Practical interventional scenarios to reduce the exposure prevalence were developed for calculation of GIFs. ResultsThe cumulative incidence of LBW was 16.1%. An estimated 19% (95%CI: 6, 30%) of LBW neonates was attributed to dietary caffeine intake of >100 mg/day and 11% (95%CI: 8,14%) to water pipe smoking. Action plans to reduce caffeine intake and water pipe smoking suggested an avoidable burden of LBW cases of approximately 10.7% (95% CI: 6.6, 25.3%) and 5.7% ‎‎(95%CI: ‎5.0, 6.8%), respectively.‎ConclusionsWater pipe smoking and excessive consumption of caffeine during pregnancy decreased birth weight. Practical action plans to control water pipe smoking ‎and to prevent excessive intake of ‎caffeine ‎among pregnant women would substantially reduce LBW burden in the south of Iran. ‎

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Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study

The Lancet Digital Health ◽

10.1016/s2589-7500(20)30131-x ◽

2020 ◽

Vol 2 (7) ◽

pp. e368-e375 ◽

Cited By ~ 1

Author(s):

Russell Fung ◽

Jose Villar ◽

Ali Dashti ◽

Leila Cheikh Ismail ◽

Eleonora Staines-Urias ◽

...

Keyword(s):

Machine Learning ◽

Cohort Study ◽

Prospective Cohort Study ◽

Fetal Growth ◽

Gestational Age ◽

Prospective Cohort ◽

Population Based ◽

Learning Study

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Reference ranges of AMH in early pregnancy: the Generation R Study, a population-based prospective cohort study

10.22541/au.164095992.20255027/v1 ◽

2021 ◽

Author(s):

Ramon Dykgraaf ◽

Joop Laven ◽

Sarah Timmermans ◽

Maria Adank ◽

Sjoerd van den Berg ◽

...

Keyword(s):

Cohort Study ◽

Prospective Cohort Study ◽

Early Pregnancy ◽

Gestational Age ◽

Prospective Cohort ◽

Hospital Setting ◽

First Trimester ◽

Population Based ◽

Reference Ranges ◽

Placental Development

Objective: The objective of this study is to establish maternal reference values of AMH in a fertile multi-ethnic urban pregnant population and to evaluate the effect of gestational age. Design: The Generation R Study is an ongoing population-based prospective cohort study from early pregnancy onwards. Setting: Rotterdam, the Netherlands, out of hospital setting. Population: In 5806 women serum AMH levels were determined in early pregnancy (median 13.5 weeks; 95% range 10.5-17.2). Methods: The model-based AMH reference ranges for maternal age and gestational age were created using GAMLSS. Associations between AMH and several first trimester biomarkers were analyzed using multivariate linear regression analyses. Main outcome measures: AMH levels in early pregnancy and the association with placental biomarkers, hCG, sFLT, and PLGF. Results: A nomogram of AMH in early pregnancy was developed. Serum AMH levels showed a decline with advancing gestational age. Higher AMH levels were associated with a higher level of hCG and sFLT. This last association was predominantly mediated by hCG. AMH levels were negatively associated with PLGF levels. Conclusion: In this large study we show that AMH levels in the first trimester decrease with advancing gestational age. The association between AMH and the placental biomarkers hCG, sFLT and PLGF suggests a better placental development with a lower vascular resistance in mothers with higher AMH levels. AMH might be useful in predicting adverse pregnancy outcome due to impaired placental development. Keywords: Ovarian reserve, placental biomarker, nomogram, first trimester, human Choriogonadotrophin (hCG), soluble FMS-Like Tyrosine kinase-1 (sFLT), Placental Growth Factor (PLGF).

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Combined Influence of Gestational Weight Gain and Estimated Fetal Weight on Risk Assessment for Small- or Large-for-Gestational-Age Birth Weight: A Prospective Cohort Study

Journal of Ultrasound in Medicine ◽

10.1002/jum.14430 ◽

2017 ◽

Vol 37 (4) ◽

pp. 935-940 ◽

Cited By ~ 1

Author(s):

Sarah J. Pugh ◽

Stefanie N. Hinkle ◽

Sungduk Kim ◽

Paul S. Albert ◽

Roger Newman ◽

...

Keyword(s):

Risk Assessment ◽

Cohort Study ◽

Weight Gain ◽

Birth Weight ◽

Prospective Cohort Study ◽

Gestational Age ◽

Prospective Cohort ◽

Large For Gestational Age ◽

Gestational Weight ◽

Estimated Fetal Weight

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Postpartum Severe Acute Maternal Morbidity According to Gestational Age at Delivery in Twin Pregnancies: A Prospective Cohort Study

10.22541/au.163518939.95714207/v1 ◽

2021 ◽

Author(s):

Lola Loussert ◽

Catherine Deneux-Tharaux ◽

Aurélien Seco ◽

Francois Goffinet ◽

diane korb ◽

...

Keyword(s):

Cohort Study ◽

Prospective Cohort Study ◽

Gestational Age ◽

Prospective Cohort ◽

Maternal Morbidity ◽

Population Based ◽

Severe Acute Maternal Morbidity ◽

Increased Risk ◽

Gestational Age At Delivery ◽

Twin Pregnancies

Objective: To assess the association between gestational age at delivery and postpartum severe acute maternal morbidity (SAMM) in twin pregnancies. Design: Population-based, national, prospective, cohort study Setting: From 02/2014 to 03/2015 in France Population: Women with twin pregnancies who gave birth after 32 weeks of gestation. We excluded women with fetal death or medical termination of either twin, with antepartum SAMM, with antepartum conditions responsible for postpartum SAMM. Methods: Gestational age at delivery was studied as the number of completed weeks of gestation. We assessed the association between gestational age at delivery and postpartum SAMM by using multivariable multilevel modified Poisson regression modelling. Main Outcome Measures: Composite criteria of postpartum severe acute maternal morbidity Results: Among the 7,713 women included, 410 (5.3%) developed postpartum SAMM, mainly (88.5%) postpartum haemorrhage. Compared with the reference category of 37 weeks, the risk of postpartum SAMM was significantly lower for all categories of earlier gestational age at delivery (from aRR=0.34, 95% CI 0.17-0.68 at 32 weeks to aRR=0.71, 95% CI 0.54-0.94 at 36 weeks), and did not differ for later categories. Conclusion: In twin pregnancies, compared with delivery at 37 weeks, delivery at earlier gestational ages is associated with a lower risk of postpartum SAMM. Continuing pregnancy beyond 37 weeks is not associated with an increased risk of postpartum SAMM. Funding: Supported by a grant from the French Ministry of Health (Programme Hospitalier de Recherche Clinique, AOM2012) and a grant from Université Toulouse III. Keywords: severe acute maternal morbidity, twin pregnancy, timing of delivery

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