Paul D. Juarez

The Public Health Exposome: A Population-Based, Exposure Science Approach to Health Disparities Research

The lack of progress in reducing health disparities suggests that new approaches are needed if we are to achieve meaningful, equitable, and lasting reductions. Current scientific paradigms do not adequately capture the complexity of the relationships between environment, personal health and population level disparities. The public health exposome is presented as a universal exposure tracking framework for integrating complex relationships between exogenous and endogenous exposures across the lifespan from conception to death. It uses a social-ecological framework that builds on the exposome paradigm for conceptualizing how exogenous exposures “get under the skin”. The public health exposome approach has led our team to develop a taxonomy and bioinformatics infrastructure to integrate health outcomes data with thousands of sources of exogenous exposure, organized in four broad domains: natural, built, social, and policy environments. With the input of a transdisciplinary team, we have borrowed and applied the methods, tools and terms from various disciplines to measure the effects of environmental exposures on personal and population health outcomes and disparities, many of which may not manifest until many years later. As is customary with a paradigm shift, this approach has far reaching implications for research methods and design, analytics, community engagement strategies, and research training.

Levels of Community Engagement in Youth Violence Prevention: The Role of Power in Sustaining Successful University-Community Partnerships

Previous research indicates that communities can be engaged at various levels in research to reduce youth violence. In this paper, we argue that the method of power sharing among partners is a central factor distinguishing different levels of engagement. Using cases from the Nashville Urban Partnership Academic Center of Excellence, we identify community initiation and community collaboration as distinct approaches to community engaged violence prevention research. The power relationships among partners are analyzed to highlight differences in the types of engagement and to discuss implications for establishing and sustaining community partnerships. Also, the implications of levels of engagement for promoting the use of evidence-based practices are discussed.

Increased Black–White Disparities in Mortality After the Introduction of Lifesaving Innovations: A Possible Consequence of US Federal Laws

OBJECTIVES We explored whether the introduction of 3 lifesaving innovations introduced between 1989 and 1996 increased, decreased, or had no effect on disparities in Black-White mortality in the United States through 2006. METHODS Centers for Disease Control and Prevention data were used to assess disease-, age-, gender-, and race-specific changes in mortality after the introduction of highly active anti-retroviral therapy (HAART) for treatment of HIV, surfactants for neonatal respiratory distress syndrome, and Medicare reimbursement of mammography screening for breast cancer. RESULTS Disparities in Black-White mortality from HIV significantly increased after the introduction of HAART, surfactant therapy, and reimbursement for screening mammography. Between 1989 and 2006, these circumstances may have accounted for an estimated 22,441 potentially avoidable deaths among Blacks. CONCLUSIONS These descriptive data contribute to the formulation of the hypothesis that federal laws promote increased disparities in Black-White mortality by inadvertently favoring Whites with respect to access to lifesaving innovations. Failure of legislation to address known social factors is a plausible explanation, at least in part, for the observed findings. Further research is necessary to test this hypothesis, including analytic epidemiological studies designed a priori to do so.

Firearms, Youth Homicide, and Public Health

Homicide is seven times as common among U.S. non-Hispanic Black as among non-Hispanic White youth ages 15 to 24 years. In 83% of these youth homicides, the murder weapon is a firearm. Yet, for more than a decade, the national public health position on youth violence has been largely silent about the role of firearms, and tools used by public health professionals to reduce harm from other potential hazards have been unusable where guns are concerned. This deprives already underserved populations from the full benefits public health agencies might be able to deliver. In part, political prohibitions against research about direct measures of firearm control and the absence of valid public health surveillance are responsible. More refined epidemiologic theories as well as traditional public health methods are needed if the U.S. aims to reduce disparate Black-White youth homicide rates.

Using a Participatory Research Process to Address Disproportionate Hispanic Cancer Burden

Community-based participatory research (CBPR) offers great potential for increasing the impact of research on reducing cancer health disparities. This article reports how the Community Outreach Core (COC) of the Meharry–Vanderbilt–Tennessee State University (TSU) Cancer Partnership has collaborated with community partners to develop and implement CBPR. The COC, Progreso Community Center, and Nashville Latino Health Coalition jointly developed and conducted the 2007 Hispanic Health in Nashville Survey as a participatory needs assessment to guide planning for subsequent CBPR projects and community health initiatives. Trained community and student interviewers surveyed 500 Hispanic adults in the Nashville area, using a convenience sampling method. In light of the survey results, NLHC decided to focus in the area of cancer on the primary prevention of cervical cancer. The survey led to a subsequent formative CBPR research project to develop an intervention, then to funding of a CBPR pilot intervention study to test the intervention.

United States Counties with Low Black Male Mortality Rates

OBJECTIVE In the United States, young and middle-aged black men have significantly higher total mortality than any other racial or ethnic group. We describe the characteristics of US counties with low non-Hispanic Black or African American male mortality (ages 25-64 years, 1999-2007). METHODS Information was accessed through public data, the US Census, the US Compressed Mortality File, and the Native American Graves Repatriation Act military database. RESULTS Of 1307 counties with black mortality rates classified as reliable by the National Center for Health Statistics (at least 20 deaths), 66 recorded lower mortality among black men than corresponding US whites. Most notable, 97% of the 66 counties were home to or adjacent a military installation versus 37% of comparable US counties (P<.001). Blacks in these counties had less poverty, higher percentages of elderly civilian veterans, and higher per capita income. Within these counties, national black:white disparities in mortality were eliminated for ischemic heart disease, accidents, diseases of the liver, chronic lower respiratory diseases, and mental disorder from psychoactive substance use. Application of age-, race-, ethnicity-, gender-, and urbanization-specific mortality rates from counties with relatively low mortality would reduce the black:white mortality rate ratio for black men aged 25 to 64 years from 1.67 to 1.20 nationally and to 1.00 in areas outside large central metropolitan areas. CONCLUSIONS These descriptive data demonstrate a small number of communities with low mortality rates among young and middle-aged black/African American men. Their characteristics may provide clinical and public health insights to reduce these higher mortality rates in the US population. Analytic epidemiologic studies are necessary to test these hypotheses.

Exploration of preterm birth rates using the public health exposome database and computational analysis methods.

Recent advances in informatics technology has made it possible to integrate, manipulate, and analyze variables from a wide range of scientific disciplines allowing for the examination of complex social problems such as health disparities. This study used 589 county-level variables to identify and compare geographical variation of high and low preterm birth rates. Data were collected from a number of publically available sources, bringing together natality outcomes with attributes of the natural, built, social, and policy environments. Singleton early premature county birth rate, in counties with population size over 100,000 persons provided the dependent variable. Graph theoretical techniques were used to identify a wide range of predictor variables from various domains, including black proportion, obesity and diabetes, sexually transmitted infection rates, mother’s age, income, marriage rates, pollution and temperature among others. Dense subgraphs (paracliques) representing groups of highly correlated variables were resolved into latent factors, which were then used to build a regression model explaining prematurity (R-squared = 76.7%). Two lists of counties with large positive and large negative residuals, indicating unusual prematurity rates given their circumstances, may serve as a starting point for ways to intervene and reduce health disparities for preterm births.

Social Media and Military Families: A Perspective

The role that social media plays in the lives of military families is enormous, whether the service person is on duty in the United States, overseas, or in a war zone. It also plays a role in the reintegration of military personnel into civilian life. Definitions and concepts of social media, health, and well-being are presented. The authors examine the military response to the phenomena of social media. The authors raise questions about the future role of research in documenting the potential effects of social media on the psychosocial health and well-being of service men and women and their families.

Scalable combinatorial tools for health disparities research

Despite staggering investments made in unraveling the human genome, current estimates suggest that as much as 90% of the variance in cancer and chronic diseases can be attributed to factors outside an individual’s genetic endowment, particularly to environmental exposures experienced across his or her life course. New analytical approaches are clearly required as investigators turn to complicated systems theory and ecological, place-based and life-history perspectives in order to understand more clearly the relationships between social determinants, environmental exposures and health disparities. While traditional data analysis techniques remain foundational to health disparities research, they are easily overwhelmed by the ever-increasing size and heterogeneity of available data needed to illuminate latent gene x environment interactions. This has prompted the adaptation and application of scalable combinatorial methods, many from genome science research, to the study of population health. Most of these powerful tools are algorithmically sophisticated, highly automated and mathematically abstract. Their utility motivates the main theme of this paper, which is to describe real applications of innovative transdisciplinary models and analyses in an effort to help move the research community closer toward identifying the causal mechanisms and associated environmental contexts underlying health disparities. The public health exposome is used as a contemporary focus for addressing the complex nature of this subject.

Sequencing the Public Health Genome

The exposome paradigm provides a new approach for conceptualizing and analyzing the impact of single exposures on health outcomes. This article describes the methods used to sequence the public health exposome and implications for the dynamic, multi-dimensional data information system developed by investigators at Meharry Medical College.