267281 Estimated excess incident coronary heart disease attributed for low socioeconomic status: A projection from the CHD Policy Model

Wednesday, October 31, 2012 : 12:45 PM - 1:00 PM

Antoinette Mason, BS , Department of General Internal Medicine, University of California, San Francisco, San Francisco, CA
Kirsten Bibbins-Domingo, PhD, MD, MAS , School of Medicine, University of California, San Francisco, San Francisco, CA
Emily Wang, MD, MAS , Department of Medicine, Yale University School of Medicine, New Haven, CT
Pamela Coxson, PhD , School of Medicine, University of California, San Francisco, San Francisco, CA
Lee Goldman, MD, MPH , College of Physicians and Surgeons, Columbia University, New York, NY
Kevin Fiscella, MD, MPH , Department of Family Medicine, University of Rochester, Rochester, NY
Background: Epidemiological studies have demonstrated that low socioeconomic status (SES) is associated with coronary heart disease (CHD) risk, independent of traditional CHD risk factors. The annual number of new cases of CHD in the US that can be attributed to low SES is unknown.Methods: We used the CHD Policy Model, a computer simulation of CHD in US adults aged 35-85 years, to project CHD incidence associated with low SES after accounting for traditional CHD risk factors among those with low SES (<150% federal poverty level or

Learning Areas:
Chronic disease management and prevention
Public health or related organizational policy, standards, or other guidelines
Systems thinking models (conceptual and theoretical models), applications related to public health

Learning Objectives:
1. Identify the annual number of new cases of Coronary Heart Disease (CHD) in the United States that can be attributed to low Socioeconomic status after adjusted for other CHD risk factors. 2. Compare coronary heart disease (CHD) incidence in the low socioeconomic status population with the total United States population.

Keywords: Low-Income, Social Inequalities

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: Since 2009, I have work with Dr. Bibbins-Domingo on the Coronary Heart Disease (CHD) Policy Model projects, such as modeling the impact of sodium reduction on the US population. Specifically since 2010, I have helped create sub-population models to look at low socioeconomic status as a risk factor for CHD. In addition to having experience with this type of modeling, my scientific interests are to develop methods to identify high-risk sub-populations and identify intervention strategies.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.