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Carotid Intima Media Thickness and IMT-Progression as Predictors of Vascular Events in a High Risk European Population Study (IMPROVE)
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Sample details

IMPROVE aimed to investigate carotid intima-media thickness and its progression as predictors of vascular events in European individuals at high risk of cardiovascular diseases. Over 3,700 participants were enrolled on the study at centres in Kuopio (Finland, two centres), Stockholm (Sweden), Groningen (the Netherlands), Paris (France), Milano and Perugia (Italy). Participants were aged 55 to 79 and had at least three vascular risk factors. Baseline assessment began in 2004, and participants were followed up 15, 30 and 36 months after baseline.

Study design
Cohort

Number of participants at first data collection

3,703 (participants)

Age at first data collection

55 - 79 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Older and elderly people
Patients and clinical populations
Dataset details
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Countries

Finland, France, Italy, Netherlands, Sweden

Year of first data collection

2004

Primary Institutions

Centro Cardiologico Monzino (IRCCS)

University of Milan (Università degli Studi di Milano)

Links

clinicalepi.i-med.ac.at/research/proof-athero/studies/improve/

cordis.europa.eu/project/id/QLG1-CT-2002-00896

web.archive.org/web/20070529195016/http://users.unimi.it/improve/description%20of%20the%20study.htm

Profile paper DOI
Not available

Funders

British Heart Foundation

European Commission

Foundation for Strategic Research (Fondation pour la recherche stratégique, FRS)

Ministry of Health (Ministero della Salute)

Stockholm County Council (now known as Region Stockholm)

Ongoing?
No

Data types collected

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

Engagement

  • None
  • Keywords

    Anthropometry
    Biological samples/biospecimens
    Cardiovascular health and disease
    Genetics
    Risk factors
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