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Pregnancy Outcome Prediction Study (POPS)
Pregnancy Outcome Prediction Study logo
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Sample details

The POPS investigated the possible causes and predictors of adverse pregnancy outcomes. The study included over 4,000 first-time pregnant women who attended a hospital in Cambridge (United Kingdom) for their dating ultrasound scan between 2008 and 2012. The women were assessed at recruitment, at 20, 28, and 36 weeks of gestation, and after delivery. A follow-up study of the cohort began in 2020 under the name POPStar (Pregnancy Outcome Prediction Study: transgenerational and adults review) and is tracking the long-term health and development of the children and the mothers through linkage with routinely collected data.

Study design
Cohort - primary caregiver and child, Cohort - birth, Cohort

Number of participants at first data collection

4,512 (women)

3,977 (children)

Age at first data collection

Varied (women)

Pre-birth (children)

Participant year of birth

Varied (women)

2008 - 2012 (children)

Participant sex
All

Representative sample at baseline?
No

Sample features

Mother and child dyad
Newborns, infants and babies
Pregnant people
Dataset details
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Countries

England, United Kingdom of Great Britain and Northern Ireland

Year of first data collection

2008

Primary Institutions

University of Cambridge (Academic, United Kingdom)

Links

sands.org.uk/our-work/research/studies-we-fund/pregnancy-outcome-prediction-study-pops

cambridgebrc.nihr.ac.uk/2020/06/02/popstar-study-launches-to-investigate-how-pregnancy-data-can-predict-future-health/

Funders

Action Medical Research (Third Sector, United Kingdom)

British Heart Foundation (Third Sector, United Kingdom)

Cancer Research UK (CRUK) (Third Sector, United Kingdom)

GE HealthCare (Industry, United States of America)

NIHR Cambridge Comprehensive Biomedical Research Centre (BRC) (Research, United Kingdom)

Ongoing?
Yes

Data types collected

dataLinkage
Quantitative data collection
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Self-completed questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Census data
  • Education data
  • Healthcare data
Features

Engagement

  • None
  • Keywords

    Anthropometry
    Biological samples/biospecimens
    Biomarkers
    Electronic health records
    Fetal development
    Genotyping
    Infant biosamples
    Infant outcomes
    Pregnancy outcomes
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