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Judith Rankin

Researcher at Newcastle University

Publications -  319
Citations -  13357

Judith Rankin is an academic researcher from Newcastle University. The author has contributed to research in topics: Population & Pregnancy. The author has an hindex of 57, co-authored 273 publications receiving 11193 citations. Previous affiliations of Judith Rankin include Royal Victoria Infirmary & National Chemical Laboratory.

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Maternal Overweight and Obesity and the Risk of Congenital Anomalies: A Systematic Review and Meta-analysis

TL;DR: In this article, the authors assess current evidence of the association between maternal overweight, maternal obesity, and congenital anomaly and find that obese mothers are at increased odds of pregnancies affected by neural tube defects (OR, 1.87; 95% confidence interval [CI], 1.62-2.15), spina bifida (OR 2.24; 95%, 1.86-2).
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The impact of maternal BMI status on pregnancy outcomes with immediate short-term obstetric resource implications: a meta-analysis.

TL;DR: Meta‐analysis shows a significant relationship between obesity and increased odds of caesarean and instrumental deliveries, haemorrhage, infection, longer duration of hospital stay and increased neonatal intensive care requirement.
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Particulate air pollution and fetal health: a systematic review of the epidemiologic evidence.

TL;DR: There was little consistency in the evidence linking particulate air pollution and fetal outcomes, and the reported magnitude of the effects was small and inconsistently associated with exposure at specific stages of pregnancy.
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A nationally representative study of maternal obesity in England, UK: trends in incidence and demographic inequalities in 619 323 births, 1989–2007

TL;DR: The increase in maternal obesity has serious implications for the health of mothers, infants and service providers, yielding an additional 47 500 women per year requiring high dependency care in England, which urgently needs to be addressed.
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20-year survival of children born with congenital anomalies: a population-based study

TL;DR: Estimates of survival for congenital anomalies groups and subtypes will be valuable for families and health professionals when a congenital anomaly is detected, and will assist in planning for the future care needs of affected individuals.