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Data from an Epidemiological Study on the Insulin Resistance Syndrome (D.E.S.I.R.)
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Sample details

The D.E.S.I.R study aimed to understand the development of insulin resistance syndrome by examining various metabolic and cardiovascular factors. Beginning in 1994, the study included over 2,500 male participants and over 2,600 female participants between the ages of 30 to 65 from the western region of France. The participants were followed-up ever 3-years, with the final examination taking place 9 years after baseline in 2003, including of over 3,400 remaining participants.

Study design
Cohort

Number of participants at first data collection

5,212 (participants)

Age at first data collection

30 - 65 years (participants)

Participant year of birth

1929 - 1966 (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Community-based sample
Volunteers
Dataset details

Country

France

Year of first data collection

1994

Primary Institutions

Angers University Hospital Center (Centre Hospitalier Universitaire D'Angers, CHU-ANGERS)

Bichat-Claude Bernard Hospital (Hôpital Bichat-Claude-Bernard)

Centre for Epidemiology and Population Health (Centre de Recherche en Épidémiologie et Santé des Populations, CESP)

French National Centre for Scientific Research (Centre national de la recherche scientifique, CNRS)

Inter-Regional Institute for Health (Institut inter Regional pour la Santé, IRSA)

Links

doi.org/10.1016/S1262-3636(07)70031-9

Funders

Ardix Medical

Bayer AG

Becton Dickinson (BD)

Cardionics

Eli Lilly and Company

Ongoing?
No

Data types collected

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

Engagement

  • None
  • Keywords

    Anthropometry
    Biological samples/biospecimens
    Blood pressure
    Cardiometabolic risk
    Cardiovascular health and disease
    Diabetes
    Disease risk
    Lifestyle factors
    Metabolism
    Noncommunicable diseases
    Obesity
    Smoking
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