Cardiovascular Health Study

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Beaver, K.M., Gibson, C.L., DeLisi, M., Vaughn, M.G., & Wright, P. (2012). The Interaction Between Neighborhood Disadvantage and Genetic Factors in the Prediction of Antisocial Outcomes. Youth Violence and Juvenile Justice, 10 (1), 25-40. doi:10.1177/1541204011422085
A study that examines the interaction between genetic factors and neighborhood disadvantages to predict any antisocial outcomes. Previous research has discovered that genetic and environmental factors may cause antisocial outcomes by working together and frequently promoting the effects of the other. The method for testing the environment-gene interactions was done by determining whether DRD4 and DRD2, two of multiple dopamine receptor genes, have increased activity when the individual …show more content…
(2011). Neighborhood Disadvantage and Ischemic Stroke: The Cardiovascular Health Study (CHS). American Heart Association, 42, 3363-3368. doi: 10.1161/STROKEAHA.111.622134
A study that sought to determine if neighborhood characteristics influence the incidence of strokes and if it contributes to the differences of stroke incidence when comparing socioeconomic classes. The objective was to study the relationship between incident ischemic stroke and neighborhood socioeconomic status. The researchers also examined for mediators participating in this relationship. Data was examined from The Cardiovascular Health Study. This was a longitudinal study of adults ages >64 years from four U.S. counties. The population consisted of 785 blacks and 3834 whites. The neighborhood socioeconomic status was measured using a mixture of six census tract variables. Results showed that in disadvantaged neighborhoods the risk for ischemic stroke is elevated especially among …show more content…
In this study, researchers evaluated the association between a disadvantaged neighborhood and juvenile emotional disorders as well as the effect of urbanicity on this association. The data that was used to evaluate this association was retrieved from the largest survey on U.S. adolescent mental health. The National Comorbidity Survey Replication Adolescent Supplement experimented with adolescents aged 13-17 years. Researchers used logistic regression models to estimate the odds of having a DSM-IV emotional disorder. This model compared similar adolescents living in a disadvantaged neighborhood to those living in a non-disadvantaged neighborhood. Results showed that the association between emotional disorders and living in a disadvantaged neighborhood was almost twice as large compared to living in a non-disadvantaged
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