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Lolland-Falster Health Study (LOFUS)
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Sample details

LOFUS aimed to create a scientific resource with a research database and a biobank to investigate cross-sectional differences and longitudinal changes in risk factors and disease burden within and between individuals, families and households. Around 19,000 participants of all ages were recruited from the municipalities of Lolland and Guldborgsund, areas of socioeconomic deprivation in Denmark. Baseline data was collected from questionnaires, health examination, bio samples and biometrics from 2016 to 2020, and participants were followed up through linked registries until 2023.

Study design
Cohort, Biobank

Number of participants at first data collection

18,949 (participants)

Age at first data collection

0 - 96 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

All ages
Economically disadvantaged people
Households and household members
Dataset details

Country

Denmark

Year of first data collection

2016

Primary Institutions

Nykøbing Falster Hospital

Region Zealand (Region Sjælland)

Links

clinicaltrials.gov/study/NCT02482896

osf.io/34t2c/

doi.org/10.1080/08039488.2024.2448816

doi.org/10.1136/bmjph-2023-000421

doi.org/10.3390/ijerph21091231

Funders

Guldborgsund Municipality (Guldborgsund Kommune)

Lolland Municipality (Lolland Kommune)

Nykøbing Falster Hospital

Region Zealand

Ongoing?
No

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • 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
  • Wearable devices
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Geographic, spatial & environmental data
  • Healthcare data
  • Medical birth registry
  • Mortality data
  • Tax, income & benefit data
Features

Engagement

  • None
  • Keywords

    Biological samples/biospecimens
    Diabetes
    Disease risk
    Mental health
    Morbidity and mortality
    Risk factors
    Socioeconomics
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