Cardiovascular Diseases Clinical Trial
To test the independent and interrelated effects of the neighborhood social environment, the neighborhood physical environment, and individual risk factors in predicting all-cause and cardiovascular disease mortality.
BACKGROUND:
The study examines how social and physical features of neighborhoods interact with
individual factors to influence disparities in health, an important but understudied area of
research. This project will create a rich new database where individuals' socioeconomic
status (SES) and health indicators are linked with characteristics of their specific
neighborhoods and their subsequent mortality. Thus, it builds on an important exiting data
base to create a contextual-level database with information about mortality.
DESIGN NARRATIVE:
Few studies have examined how social and physical features of neighborhoods interact with
individual factors, e.g., health behaviors and socioeconomic status (SES), to influence
disparities in health. The investigators propose to test the independent and interrelated
effects of the neighborhood social environment (e.g., neighborhood SES, social
disorganization, Hispanic concentration, crime rates), neighborhood physical environment
(e.g., housing conditions, availability of goods and services such as licensed alcohol
distributors, fast food restaurants, grocery stores, gun shops, educational resources,
recreational facilities, banking/lending institutions), and individual risk factors in
predicting all-cause and cardiovascular disease (CVD) mortality in women and men. They will
conduct a prospective mortality follow-up study of 8,847 white (non-Hispanic) and Hispanic
women and men who participated in the Stanford Heart Disease Prevention Program (SHDPP),
also referred to as the Stanford Five-City Project. This population-based CVD study included
a random sample of women and men aged 25-74 who participated in one of five cross-sectional
surveys (1979-1990) and were from four socioeconomically diverse California cities. The
SHDPP is recognized for its comprehensive and well-standardized survey and physiologic
measures that include SES (education, income, occupation), CVD risk factors (e.g., smoking,
high cholesterol and saturated fat), psychosocial factors, and other health-related
measures. The investigators propose to match survey data to death records for all-cause and
CVD mortality endpoints, and link geocoded addresses to census data and archival data for
measures of the neighborhood social and physical environment. This work would create a new
database where individuals' SES and health indicators are linked with characteristics of
their specific neighborhoods. Based on their empirical findings, they will identity
neighborhoods currently at high and low risk for mortality, then conduct focus groups and
map neighborhood environments (e.g., social, physical, and service features) to create a
geographic information system (GIS). These two activities will hopefully extend their
empirical findings, generate new hypotheses, and guide the development of their Community
Outreach and Education Program (COEP). The COEP will build on their collaborative
partnerships with members of the study cities, health advocates, and health agencies that
serve low SES and medically under served populations. With the involvement of these
partners, they will integrate their empirical findings with knowledge from existing studies
and disseminate results via the Internet, media, targeted mailings, and programs offered by
the California State and local county health departments in the four study cities.
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