Cardiovascular Diseases Clinical Trial
To investigate the contributions of neighborhood environments to the distribution of cardiovascular disease (CVD) risk across different age ranges and racial/ethnic groups, using data from three ongoing cohort studies of cardiovascular disease: the Coronary Artery Disease Risk Development in Young Adults (CARDIA) Study, the Atherosclerosis Risk in Communities (ARIC) Study, and the Cardiovascular Health Study (CHS).
BACKGROUND:
There is abundant evidence of persistent differences in cardiovascular disease morbidity and
mortality by socioeconomic status (SES). The determinants of SES-related differences in CVD
outcomes and risk factors have not been fully established. Previous work in this area has
focused predominantly on individual-level SES indicators, but recently attention has shifted
to the role of neighborhood or community-level variables in shaping health outcomes,
independently of individual-level SES. Several epidemiologic studies have suggested that
neighborhood characteristics may influence the distribution of disease risk, but the role of
both neighborhood-level and individual level SES variables in shaping individual-level
outcomes and risk factors has been rarely addressed in epidemiologic studies of CVD.
DESIGN NARRATIVE:
Associations of neighborhood socioenvironmental characteristics with CVD prevalence and
incidence in middle-aged and elderly populations were investigated using data from the ARIC
Study and CHS. Associations of neighborhood socioenvironmental characteristics with CVD risk
factors and risk factor trends in young and middle-aged adults were investigated using data
from the CARDIA and ARIC studies. CARDIA and ARIC data were also used to explore the
contributions of neighborhood characteristics to racial differences in CVD risk factors.
Census defined areas were used as proxies for neighborhoods. Participants were linked to
their census-tract and block-group of residence using their home address, and neighborhood
characteristics were obtained from the 1990 U.S. Census. The three data sets were analyzed
separately. After exploratory and descriptive analyses, regression models were used to
investigate associations of neighborhood characteristics with the outcomes before and after
controlling for individual-level SES and other relevant covariates. Appropriate statistical
methods (mixed effects models) were used to account for the multilevel structure of the data
(individuals nested within neighborhoods and repeated measures nested within individuals),
and the potential violations of the assumption of independence of observations that might
arise from it.
The study completion date listed in this record was obtained from the "End Date" entered in
the Protocol Registration and Results System (PRS) record.
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