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DI@BET.ES study
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Sample details

The Di@bet.es study was a nationwide, population-based cohort study in Spain that recruited 5,072 adults aged 18 years and older to investigate the prevalence and incidence of type 2 diabetes and related metabolic disorders. Participants were randomly selected between 2008 and 2010 from the Spanish National Health System registries using a cluster sampling design across 100 primary healthcare centres distributed throughout the country. The cohort was re-evaluated once between 2016 and 2017 to assess incident diabetes and associated risk factors.

Study design
Cohort

Number of participants at first data collection

5,072 (participants)

Age at first data collection

≥ 18 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
The Spanish population.

Sample features

Adults
Population-based sample
Dataset details

Country

Spain

Year of first data collection

2008

Primary Institutions

Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, CIBERDEM)

Links

sediabetes.org/cientifico-y-asistencial/proyectos-de-investigacion/estudio-dibet-es/

ciberdem.org/noticias/ciberdem-publica-los-resultados-del-estudio-di-betes-sobre-la-incidencia-de-la-enfermedad-en-espana

doi.org/10.1007/s00125-011-2336-9

Funders

Carlos III Health Institute (Instituto de Salud Carlos III, ISCIII)

Centro de Investigación Biomédica en Red (CIBER)

European Regional Development Fund (ERDF)

Ministry of Health

Ongoing?
No

Data types collected

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

Engagement

  • None
  • Keywords

    Diabetes
    Disease prevalence
    Health and wellbeing
    Medical history
    Metabolomics
    Risk factors
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