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Fenland Study
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Sample details

The Fenland Study aims to investigate the interaction between environmental and genetic factors in determining obesity, type 2 diabetes, and related metabolic disorders. The study is a cohort of over 2,000 participants born between 1950 and 1975 (aged 30 to 62 years at recruitment) who have undergone detailed metabolic phenotyping with quantitative assessment of total and regional adiposity, diet and physical activity. Participants were recruited from 2005 to 2015 from participating general practice surgeries in the Cambridge, Ely and Wisbech areas in the United Kingdom. Phase 1 of the study was completed in 2015, Phase 2 in 2020 and Phase 3 in 2025. There have been a number of sub-studies, including a COVID-19 study from 2020 to 2021.

Study design
Cohort

Number of participants at first data collection

12,435 (participants)

Age at first data collection

Varied (participants)

Participant year of birth

1950 - 1975 (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adults
Population-based sample
Dataset details
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Countries

England, United Kingdom of Great Britain and Northern Ireland

Year of first data collection

2005

Primary Institutions

University of Cambridge (Academic, United Kingdom)

Links

mrc-epid.cam.ac.uk/research/studies/fenland/

epi-meta.mrc-epid.cam.ac.uk/studies/fenland/release.shtml

Funders

Medical Research Council (MRC) (Research council, United Kingdom)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Activity log (e.g. food, sleep, exercise)
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Self-completed questionnaire – online
  • Wearable devices
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
Features

Engagement

  • Participant or community advisory groups
  • Community engagement
  • Keywords

    Biological samples/biospecimens
    Cardiometabolic risk
    Diabetes
    Genetic factors
    Lifestyle factors
    Obesity
    Physical activity and exercise
    Population-based
    Sociodemographics
    Sub-studies
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