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Multi-Ethnic Study of Atherosclerosis: objectives and design
Diane E Bild1, David A Bluemke, Gregory L Burke
1Division of Epidemiology and Clinical Applications, National Heart, Lung, and Blood Institute, Bethesda, MD, USA. bildd@nhlbi.nih.gov
American Journal of Epidemiology
|October 25, 2002
Summary
The Multi-Ethnic Study of Atherosclerosis (MESA) investigates subclinical cardiovascular disease (CVD) prevalence and progression in diverse populations. It tracks CVD events and risk factors over seven years in 6,500 adults.
Area of Science:
- Cardiovascular epidemiology
- Public health research
- Clinical trials
Background:
- Subclinical cardiovascular disease (CVD) is a precursor to clinical events.
- Understanding CVD prevalence and correlates in diverse populations is crucial for targeted prevention.
- The Multi-Ethnic Study of Atherosclerosis (MESA) was initiated to address these knowledge gaps.
Purpose of the Study:
- To determine the prevalence, correlates, and progression of subclinical CVD.
- To assess various risk factors, including genetic, biochemical, and lifestyle factors.
- To track the incidence of CVD events and mortality over time.
Main Methods:
- A population-based cohort of 6,500 men and women aged 45-84 years was recruited from six US field centers.
- Baseline assessments included advanced imaging (CT, MRI, ultrasound), electrocardiography, blood pressure, and questionnaires.
- Participants were followed for 7 years for CVD events, interventions, and mortality, with repeated measurements of risk factors and subclinical disease indicators.
Main Results:
- The MESA cohort is diverse: 38% White, 28% African-American, 23% Hispanic, and 11% Asian.
- Comprehensive baseline data on subclinical CVD, risk factors, and psychosocial factors were collected.
- The study is designed to provide longitudinal data on CVD progression and outcomes.
Conclusions:
- MESA provides a unique, diverse dataset for studying subclinical CVD.
- Findings will inform public health strategies for CVD prevention across different ethnic groups.
- Longitudinal data will enhance understanding of CVD risk factor impact and disease progression.