266802 Meharry Public Health Exposome Project: Towards Eliminating Health Disparities

Wednesday, October 31, 2012

Paul Juarez, PhD , Department of Family & Community Medicine, Meharry Medical College, Nashville, TN
Wansoo Im, PhD , Family & Community Medicine, Meharry Medical College, Nashville, TN
Most diseases have both genetic and environmental underlying causes. While research results arising from the Human Genome Project (HGP) have helped to increase our understanding about some of the underlying causes of disease, it also has reinforced findings that suggest non-genetic factors contribute about 90% of the risks of chronic disease. Understanding the contribution of environmental factors to disease susceptibility will require a more comprehensive view of exposure and biological response than has traditionally been applied. Our tools for examining the relationship between disease and environmental exposures remain woefully underdeveloped however.

At MMC we are working to develop a web-based, public health informatics infrastructure that promotes and supports research on the “exposome:” the environmental context of health disparities. To achieve this, we are working to expand our current research program by: (1) establishing a trans-disciplinary team to lead the effort; (2) securing and geocoding 30 years of health outcomes data in six areas of health disparities (cancer, cardio-metabolic disease (cardio-vascular disease, diabetes, and obesity), HIV/AIDS, Maternal & Child Health/Infant Mortality, Intentional and Unintentional Injury, and Substance Abuse/Mental Health) in eleven southeastern states; (3) incorporating data on the physical (soil, water, vegetation, heat, , toxins etc.) , built (zoning, land use, growth, preservation, and development) , and social (US Census, access to care, health professions shortage areas, etc. ) environments; (4) using high throughput, Bayesian, and spatial/temporal analyses to establish the relationships between health outcomes and environmental factors; and (5) using community engagement in research and public participatory geographic information systems (PPGIS) to develop a research agenda to translate, implement, and evaluate targeted public health interventions.

Learning Areas:
Communication and informatics
Environmental health sciences
Epidemiology
Public health or related research
Systems thinking models (conceptual and theoretical models), applications related to public health

Learning Objectives:
Most diseases have both genetic and environmental underlying causes. While research results arising from the Human Genome Project (HGP) have helped to increase our understanding about some of the underlying causes of disease, it also has reinforced findings that suggest non-genetic factors contribute about 90% of the risks of chronic disease. Understanding the contribution of environmental factors to disease susceptibility will require a more comprehensive view of exposure and biological response than has traditionally been applied. Our tools for examining the relationship between disease and environmental exposures remain woefully underdeveloped however. At MMC we are working to develop a web-based, public health informatics infrastructure that promotes and supports research on the “exposome:” the environmental context of health disparities. To achieve this, we are working to expand our current research program by: (1) establishing a trans-disciplinary team to lead the effort; (2) securing and geocoding 30 years of health outcomes data in six areas of health disparities (cancer, cardio-metabolic disease (cardio-vascular disease, diabetes, and obesity), HIV/AIDS, Maternal & Child Health/Infant Mortality, Intentional and Unintentional Injury, and Substance Abuse/Mental Health) in eleven southeastern states; (3) incorporating data on the physical (soil, water, vegetation, heat, , toxins etc.) , built (zoning, land use, growth, preservation, and development) , and social (US Census, access to care, health professions shortage areas, etc. ) environments; (4) using high throughput, Bayesian, and spatial/temporal analyses to establish the relationships between health outcomes and environmental factors; and (5) using community engagement in research and public participatory geographic information systems (PPGIS) to develop a research agenda to translate, implement, and evaluate targeted public health interventions.

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am PI of the Health Disparities Research Center of Excellence at Meharry Medical College.
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.