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Full-Text Articles in Medicine and Health Sciences

The Public Health Exposome: A Population-Based, Exposure Science Approach To Health Disparities Research, Paul D. Juarez, Patricia Matthews-Juarez, Darryl B. Hood, Wansoo Im, Robert S. Levine, Barbara J. Kilbourne, Michael A. Langston, Mohammad Z. Al-Hamdan, William L. Crosson, Maurice G. Estes, Sue M. Estes, Vincent K. Agboto, Paul Robinson, Sacoby Wilson, Maureen Y. Lichtveld Dec 2014

The Public Health Exposome: A Population-Based, Exposure Science Approach To Health Disparities Research, Paul D. Juarez, Patricia Matthews-Juarez, Darryl B. Hood, Wansoo Im, Robert S. Levine, Barbara J. Kilbourne, Michael A. Langston, Mohammad Z. Al-Hamdan, William L. Crosson, Maurice G. Estes, Sue M. Estes, Vincent K. Agboto, Paul Robinson, Sacoby Wilson, Maureen Y. Lichtveld

Sociology Faculty 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 …


Exploration Of Preterm Birth Rates Using The Public Health Exposome Database And Computational Analysis Methods, Anne D. Kershenbaum, Michael A. Langston, Robert S. Levine, Arnold M. Saxton, Tonny J. Oyana, Barbara J. Kilbourne, Gary L. Rogers, Lisaann S. Gittner, Suzanne H. Baktash, Patricia Matthews-Juarez, Paul D. Juarez Nov 2014

Exploration Of Preterm Birth Rates Using The Public Health Exposome Database And Computational Analysis Methods, Anne D. Kershenbaum, Michael A. Langston, Robert S. Levine, Arnold M. Saxton, Tonny J. Oyana, Barbara J. Kilbourne, Gary L. Rogers, Lisaann S. Gittner, Suzanne H. Baktash, Patricia Matthews-Juarez, Paul D. Juarez

Sociology Faculty Research

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 …


Social Determinants And The Classification Of Disease: Descriptive Epidemiology Of Selected Socially Mediated Disease Constellations, Robert S. Levine, Barbara A. Kilbourne, George S. Rust, Michael A. Langston, Baqar A. Husaini, Lisaann S. Gittner, Maureen Sanderson, Charles H. Hennekens Nov 2014

Social Determinants And The Classification Of Disease: Descriptive Epidemiology Of Selected Socially Mediated Disease Constellations, Robert S. Levine, Barbara A. Kilbourne, George S. Rust, Michael A. Langston, Baqar A. Husaini, Lisaann S. Gittner, Maureen Sanderson, Charles H. Hennekens

Sociology Faculty Research

Background

Most major diseases have important social determinants. In this context, classification of disease based on etiologic or anatomic criteria may be neither mutually exclusive nor optimal.

Methods and Findings

Units of analysis comprised large metropolitan central and fringe metropolitan counties with reliable mortality rates – (n = 416). Participants included infants and adults ages 25 to 64 years with selected causes of death (1999 to 2006). Exposures included that residential segregation and race-specific social deprivation variables. Main outcome measures were obtained via principal components analyses with an orthogonal rotation to identify a common factor. To discern whether the common …


Scalable Combinatorial Tools For Health Disparities Research, Michael A. Langston, Robert S. Levine, Barbara J. Kilbourne, Gary L. Rogers Jr., Anne D. Kershenbaum, Suzanne H. Baktash, Steven S. Coughlin, Arnold M. Saxton, Vincent K. Agboto, Darryl B. Hood, Maureen Y. Litchveld, Tonny J. Oyana, Patricia Matthews-Juarez, Paul D. Juarez Oct 2014

Scalable Combinatorial Tools For Health Disparities Research, Michael A. Langston, Robert S. Levine, Barbara J. Kilbourne, Gary L. Rogers Jr., Anne D. Kershenbaum, Suzanne H. Baktash, Steven S. Coughlin, Arnold M. Saxton, Vincent K. Agboto, Darryl B. Hood, Maureen Y. Litchveld, Tonny J. Oyana, Patricia Matthews-Juarez, Paul D. Juarez

Sociology Faculty 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 …