This is a chronological listing of grants held by this department, with the most recent listed first. New grants appear in this list weekly and contribute related to the department's Research Profile. The source of grants for this application comes directly from your institution.
UTMB Center for Population Health and Health Disparities
Malcolm Cutchin3/1/2006 - 8/31/2006
|Sponsoring Organization:||University of Texas Medical Branch at Galveston (UTMB)|
|Awarding Organization Is:||University of North Carolina at Chapel Hill|
Malcolm P Cutchin (Lead Principal Investigator)
Using an integrated framework, the proposed project combines an analysis of risk perception, coping, stress, and health outcomes in a study of Mexican Americans exposed to a large petrochemical complex located in Texas City, Texas. The specific aims are to: (1) examine perceived risk and its covariates in a Mexican American population exposed to the technological hazard; (2) evaluate mechanisms that extend across levels of analysis to better understand how social and individual variables work in concert to affect the stress and coping process in a Mexican American population; (3) use longitudinal data collection and analysis to assess how coping, stress, and their moderators affect the health outcomes of Mexican Americans through time; and (4) construct a predictive model of technological hazards, perceived risk, coping, stress, and health that can be used in future studies and applied to this and other populations for community participatory health improvement. The methodological approach includes a census and random sampling of variably exposed Mexican American populations living near a major petrochemical complex. In-home surveys will measure psychosocial and health dimensions of the stress and coping process at baseline in a population of approximately 1,200 Mexican Americans of age 25 and older. Blood draws and assays will provide eight physiological measures of stress. Self-reported psychological distress and self-reported health (health outcomes) will be measured in the in-home survey and by telephone every 6 months for three years afterwards. The analytical approach begins with confirmatory factor analysis and structural equation modeling to test constructs and their relationships to one another. The main part of the approach relies on multilevel modeling to assess contextual and individual effects on component processes and health outcomes. Qualitative data will be collected and analyzed to provide a more in-depth view into key stress and coping processes.