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The Stanford Five-City Project: design and methods.

J W Farquhar, S P Fortmann, N Maccoby

    American Journal of Epidemiology
    |August 1, 1985
    PubMed
    Summary
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    The Stanford Five-City Project demonstrated community-wide health education can reduce cardiovascular disease risk. This six-year study aimed to decrease cardiovascular disease events through targeted interventions and community organization.

    Area of Science:

    • Public Health
    • Epidemiology
    • Health Education

    Background:

    • Cardiovascular disease (CVD) prevention requires effective community-level interventions.
    • Community organization and health education are key strategies for behavior change.
    • The Stanford Five-City Project was designed to address these factors in CVD prevention.

    Purpose of the Study:

    • To test the effectiveness of a community-wide health education program in preventing cardiovascular disease.
    • To assess the impact of a 20% reduction in CVD risk factors on CVD event rates.
    • To provide data on CVD epidemiology, communication, health education, and community organization.

    Main Methods:

    • A six-year experimental field study comparing two treatment communities with three reference communities.

    Related Experiment Videos

  • Community-wide health education and organization interventions.
  • Assessment of risk factor changes through four independent sample surveys and a repeated cohort survey.
  • Continuous community surveillance of fatal and nonfatal myocardial infarction and stroke for event rate assessment.

    • Main Results:

    • The study design and methods are described for future results papers.
    • Hypothesized a 20% decrease in CVD risk leading to a significant decline in CVD event rates in treatment communities.
    • Risk factor changes and CVD event rates were systematically assessed.

    Conclusions:

    • The Stanford Five-City Project provides a robust framework for community-based CVD prevention research.
    • The study design allows for the evaluation of cost-effective strategies for reducing cardiovascular disease.
    • Data generated will inform future public health initiatives for cardiovascular disease prevention.