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Health, Alcohol and Psychosocial factors In Eastern Europe Study (HAPIEE)
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Sample details

The rationale of the HAPIEE study lies in the trends in cardiovascular (CVD) mortality seen in Europe over the past five decades. While in western Europe the total and CVD mortality have been declining since the 1970s, in Central and Eastern Europe (CEE) and the former Soviet Union (FSU), rates have been increasing. The HAPIEE study, therefore, comprises four cohorts in CEE and the FSU, namely Russia, Poland, the Czech Republic, and Lithuania. Each cohort consists of a random sample of men and women aged between 45 and 69 years old at baseline, stratified by gender and 5-year age groups, and selected from population registers.

Study design
Cohort

Number of participants at first data collection

29,847 (participants)

Age at first data collection

45 - 69 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Ethnically diverse populations
Middle-aged people
Older and elderly people
Dataset details
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Countries

Czech Republic, Lithuania, Poland, Russia

Year of first data collection

2002

Primary Institutions

Jagiellonian University

Lithuanian University of Health Sciences (Lietuvos sveikatos mokslų universitetas, LSMU)

National Institute of Public Health (Státní zdravotní ústav, NIPH)

Russian Academy of Medical Sciences (Rossiiskaya Akademiya Meditsinskikh Nauk, RAMS)

University College London (UCL)

Links

ucl.ac.uk/epidemiology-health-care/hapiee-study

ucl.ac.uk/easteurope/hapiee-cohort.htm

Funders

John D. and Catherine T. MacArthur Foundation

National Institute on Aging (NIA)

Wellcome Trust

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Geographic, spatial & environmental data
  • Healthcare data
  • Mortality data
Features

Engagement

  • Community engagement
  • Keywords

    Anthropometry
    Biological samples/biospecimens
    Cognitive function
    Diet and nutrition
    Healthy ageing
    Lifestyle
    Morbidity and mortality
    Physical health
    Psychosocial factors
    Socioeconomics

    Consortia and dataset groups

    Ageing Trajectories of Health – Longitudinal Opportunities and Synergies (ATHLOS)
    European Study of Cohorts for Air Pollution Effects (ESCAPE)
    MINDMAP
    MORGAM
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