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Nijmegen Exercise Study (NES)
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Sample details

The NES is a population-based cohort study, established in 2011 to study the relationship between lifestyle characteristics and the development and progression of chronic diseases. As of June 2025, the study had enrolled over 23,000 participants from across the Netherlands, with a mean age of 48.7 years. Participants were recruited through newsletters amongst individuals taking part in a number of Dutch sports events, such as the International Nijmegen Four Fays Marches and Seven Hills Run. The cohort is enriched with highly physically active individuals, with physical activity levels ranging from inactive to extremely active across the cohort. Participants are followed up with annual questionnaires.

Study design
Cohort

Number of participants at first data collection

23,643 (participants as of 2025)

Recruitment is ongoing

Age at first data collection

≥ 18 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adults
Population-based sample
Dataset details

Country

Netherlands

Year of first data collection

2011

Primary Institutions

Radboud University Medical Center (Radboudumc)

Links

radboudumc.nl/en/ongoing-studies/nijmegenexercisestudy

Profile paper DOI

doi.org/10.1093/ije/dyaf092

Funders

Dutch Heart Foundation (Hartstichting)

European Union Horizon 2020 Research and Innovation Program

Indian Institute of Technology Madras (IIT Madras)

The Netherlands Organisation for Health Research and Development (ZonMW)

VGZ

Ongoing?
Yes

Data types collected

dataLinkage
Quantitative data collection
  • Activity log (e.g. food, sleep, exercise)
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Wearable devices
  • Self-completed questionnaire – online
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
  • Mortality data
  • Tax, income & benefit data
Features

Engagement

  • None
  • Keywords

    Biological samples/biospecimens
    Chronic illness
    Disease progression
    Lifestyle
    Lifestyle factors
    Physical activity and exercise
    Sports
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