Goal 4: Develop Workforce and Resources

Research training to support population-focused obesity research in ethnic minority populations

NIH is already facing a challenge in increasing the number and viability of researchers of color. Obesity research in black (or other high risk minority) populations can be used to explore how research training programs that focus on specific issues of importance to populations of color might contribute to the recruitment and success of ethnic minority researchers in the NIH system.

Submitted by (@skumanyi)

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Goal 3: Advance Translational Research

Build a National Surveillance of Chronic CV and Lung Diseases

There is a need to build a robust coordinated surveillance system on the incidence and prevalence of chronic diseases. Surveillance data are needed to: •Describe and monitor the burden, trends, and patterns of these diseases •Set parameters and metrics of research priorities •Identify where to target resources for prevention, treatment, and delivery of care •Track and monitor progress toward public health disease ...more »

Submitted by (@nhlbiforumadministrator)

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Goal 1: Promote Human Health

THE RELEVANCE OF PREVENTION TRIALS

Prevention trials, implemented to reduce or delay progression to overt disease in a population at risk to the disease, are an important approach to health promotion. Therapies shown to reduce disease severity in patients with a specific disease are obvious, but not the only, candidates for a prevention trial in populations at high risk for prevalent diseases (such as heart failure, diabetes, COPD, asthma in children). ...more »

Submitted by (@media0)

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Goal 1: Promote Human Health

Studying Health in Addition to Disease

Why do some people stop smoking after a stroke or myocardial infarction, whereas others do not? What motivates people who adopt a healthier diet and exercise program during their lifetime or after a significant health event? How can we promote healthier lifestyle choices at all stages of life? How do we ensure equitable health promoting activities for minorities, vulnerable populations, and lower socio-economic status ...more »

Submitted by (@nhlbiforumadministrator1)

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Goal 3: Advance Translational Research

Community Collaborative Research Targeting Populations with CVD

In what ways can researchers better collaborate with community representatives from populations with high prevalence / morbidity / mortality of cardiovascular disease (CVD) to enhance and sustain interventions and achieve improved health outcomes? How can a combination of health behaviors and risk factors be used to conduct community-engaged research to prevent and treat CVD, chronic obstructive pulmonary disease (COPD) ...more »

Submitted by (@nhlbiforumadministrator)

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Goal 2: Reduce Human Disease

Optimizing Cardiovasular (CV) Prevention Medicine Use

Heart attacks and strokes cause substantial morbidity and mortality, while implementation of cholesterol and other CV prevention guidelines remain low. Proposed NCQA on-statin in the last year among those with DM was 46% in national field testing, and about 75% in Kaiser Permanente (KP). KP has had some success overcoming barriers to statin, aspirin, and blood pressure medicine adherence. If the nation as a whole is ...more »

Submitted by (@ronald.d.scott)

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Goal 2: Reduce Human Disease

The missing ingredient in diet and cardiovascular disease prevention research

Determining the dietary patterns and dietary constituents that are most effective in preventing cardiovascular disease events. In addition to the obvious challenge of limited resources, the challenge is overcoming the tension between desire for comparable data produced from low-cost tools and need for higher quality data. Many studies continue using low-cost self-reported diet assessment instruments that produce data ...more »

Submitted by (@nhlbiforumadministrator1)

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Goal 2: Reduce Human Disease

Cardiovascular risk and adverse event prediction & estimating net benefit in statin-treated individuals

Compelling Question: There is insufficient data to personalize the use of nonstatin or other preventive therapies in statin-treated patients. Equations could then be developed to predict CVD risk and to predict the risk of adverse events in statin-treated patients to guide intensification of therapy.

Submitted by (@jennifergrobinson)

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