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European Prospective Investigation into Cancer and Nutrition Potsdam Study (EPIC-Potsdam)
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Sample details

The EPIC-Potsdam Study is a population-based prospective cohort study investigating the impact of diet, lifestyle, and environmental factors on the incidence of cancer and chronic diseases like cardiovascular diseases and type 2 diabetes. Between 1994 and 1998, the study recruited over 27,000 participants from Potsdam, Germany, from local population registers. Participants are women aged 35 to 64 years and men aged 40 to 64 years. Participants are followed up every 2 to 3 years through questionnaires and medical examinations to monitor their health status and update information.

Study design
Cohort

Number of participants at first data collection

27,548 (participants)

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

All ages
Community-based sample
Dataset details

Country

Germany

Year of first data collection

1994

Primary Institutions

German Institute of Human Nutrition (Deutsches Institut für Ernährungsforschung, DIfE)

Links

dife.de/en/research/cooperations/epic-study/

Profile paper DOI

doi.org/10.1159/000012786

Funders

European Commission

European Union FP7 programmes

Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) now known as Federal Ministry of Research, Technology and Space (Bundesministerium für Forschung, Technologie und Raumfahrt, BMFTR)

German Cancer Aid (Deutsche Krebshilfe)

German Centre for Diabetes Research (DZD)

Ongoing?
Yes

Data types collected

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

Engagement

  • Community engagement
  • Keywords

    Biological samples/biospecimens
    Biophysical measurements
    Cancer registry
    Chronic illness
    Diet and nutrition
    Physical health
    Physical health assessments

    Consortia and dataset groups

    Intestinal Microbiomics Knowledge Platform (INTIMIC-KP)
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