@article {1332, title = {Neighborhood disadvantage and ischemic stroke: the Cardiovascular Health Study (CHS).}, journal = {Stroke}, volume = {42}, year = {2011}, month = {2011 Dec}, pages = {3363-8}, abstract = {

BACKGROUND AND PURPOSE: Neighborhood characteristics may influence the risk of stroke and contribute to socioeconomic disparities in stroke incidence. The objectives of this study were to examine the relationship between neighborhood socioeconomic status and incident ischemic stroke and examine potential mediators of these associations.

METHODS: We analyzed data from 3834 whites and 785 blacks enrolled in the Cardiovascular Health Study, a multicenter, population-based, longitudinal study of adults ages>=65 years from 4 US counties. The primary outcome was adjudicated incident ischemic stroke. Neighborhood socioeconomic status was measured using a composite of 6 census tract variables. Race-stratified multilevel Cox proportional hazard models were constructed adjusted for sociodemographic, behavioral, and biological risk factors.

RESULTS: Among whites, in models adjusted for sociodemographic characteristics, stroke hazard was significantly higher among residents of neighborhoods in the lowest compared with the highest neighborhood socioeconomic status quartile (hazard ratio, 1.32; 95\% CI, 1.01-1.72) with greater attenuation of the hazard ratio after adjustment for biological risk factors (hazard ratio, 1.16; 0.88-1.52) than for behavioral risk factors (hazard ratio, 1.30; 0.99-1.70). Among blacks, we found no significant associations between neighborhood socioeconomic status and ischemic stroke.

CONCLUSIONS: Higher risk of incident ischemic stroke was observed in the most disadvantaged neighborhoods among whites, but not among blacks. The relationship between neighborhood socioeconomic status and stroke among whites appears to be mediated more strongly by biological than behavioral risk factors.

}, keywords = {Aged, Aged, 80 and over, Brain Ischemia, Female, Health Status Disparities, Humans, Incidence, Longitudinal Studies, Male, Poverty, Residence Characteristics, Risk, Risk Factors, Social Class, Social Environment, Socioeconomic Factors, Stroke, Urban Population}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.111.622134}, author = {Brown, Arleen F and Liang, Li-Jung and Vassar, Stefanie D and Stein-Merkin, Sharon and Longstreth, W T and Ovbiagele, Bruce and Yan, Tingjian and Escarce, Jos{\'e} J} } @article {5856, title = {Exploring psychosocial pathways between neighbourhood characteristics and stroke in older adults: the cardiovascular health study.}, journal = {Age Ageing}, volume = {42}, year = {2013}, month = {2013 May}, pages = {391-7}, abstract = {

OBJECTIVES: to investigate whether psychosocial pathways mediate the association between neighbourhood socioeconomic disadvantage and stroke.

METHODS: prospective cohort study with a follow-up of 11.5 years.

SETTING: the Cardiovascular Health Study, a longitudinal population-based cohort study of older adults >=65 years.

MEASUREMENTS: the primary outcome was adjudicated incident ischaemic stroke. Neighbourhood socioeconomic status (NSES) was measured using a composite of six census-tract variables. Psychosocial factors were assessed with standard measures for depression, social support and social networks.

RESULTS: of the 3,834 white participants with no prior stroke, 548 had an incident ischaemic stroke over the 11.5-year follow-up. Among whites, the incident stroke hazard ratio (HR) associated with living in the lowest relative to highest NSES quartile was 1.32 (95\% CI = 1.01-1.73), in models adjusted for individual SES. Additional adjustment for psychosocial factors had a minimal effect on hazard of incident stroke (HR = 1.31, CI = 1.00-1.71). Associations between NSES and stroke incidence were not found among African-Americans (n = 785) in either partially or fully adjusted models.

CONCLUSIONS: psychosocial factors played a minimal role in mediating the effect of NSES on stroke incidence among white older adults.

}, keywords = {African Americans, Age Factors, Aged, Aged, 80 and over, Aging, Brain Ischemia, Depression, European Continental Ancestry Group, Female, Follow-Up Studies, Humans, Incidence, Linear Models, Logistic Models, Male, Middle Aged, Proportional Hazards Models, Prospective Studies, Residence Characteristics, Risk Assessment, Risk Factors, Social Support, Socioeconomic Factors, Stroke, Time Factors, United States, Vulnerable Populations}, issn = {1468-2834}, doi = {10.1093/ageing/afs179}, author = {Yan, Tingjian and Escarce, Jos{\'e} J and Liang, Li-Jung and Longstreth, W T and Merkin, Sharon Stein and Ovbiagele, Bruce and Vassar, Stefanie D and Seeman, Teresa and Sarkisian, Catherine and Brown, Arleen F} } @article {5855, title = {Neighborhood socioeconomic disadvantage and mortality after stroke.}, journal = {Neurology}, volume = {80}, year = {2013}, month = {2013 Feb 05}, pages = {520-7}, chapter = {520}, abstract = {

OBJECTIVE: Residence in a socioeconomically disadvantaged community is associated with mortality, but the mechanisms are not well understood. We examined whether socioeconomic features of the residential neighborhood contribute to poststroke mortality and whether neighborhood influences are mediated by traditional behavioral and biologic risk factors.

METHODS: We used data from the Cardiovascular Health Study, a multicenter, population-based, longitudinal study of adults >=65 years. Residential neighborhood disadvantage was measured using neighborhood socioeconomic status (NSES), a composite of 6 census tract variables representing income, education, employment, and wealth. Multilevel Cox proportional hazard models were constructed to determine the association of NSES to mortality after an incident stroke, adjusted for sociodemographic characteristics, stroke type, and behavioral and biologic risk factors.

RESULTS: Among the 3,834 participants with no prior stroke at baseline, 806 had a stroke over a mean 11.5 years of follow-up, with 168 (20\%) deaths 30 days after stroke and 276 (34\%) deaths at 1 year. In models adjusted for demographic characteristics, stroke type, and behavioral and biologic risk factors, mortality hazard 1 year after stroke was significantly higher among residents of neighborhoods with the lowest NSES than those in the highest NSES neighborhoods (hazard ratio 1.77, 95\% confidence interval 1.17-2.68).

CONCLUSION: Living in a socioeconomically disadvantaged neighborhood is associated with higher mortality hazard at 1 year following an incident stroke. Further work is needed to understand the structural and social characteristics of neighborhoods that may contribute to mortality in the year after a stroke and the pathways through which these characteristics operate.

}, keywords = {Aged, Female, Humans, Incidence, Kaplan-Meier Estimate, Male, Proportional Hazards Models, Residence Characteristics, Risk Factors, Socioeconomic Factors, Stroke, Vulnerable Populations}, issn = {1526-632X}, doi = {10.1212/WNL.0b013e31828154ae}, author = {Brown, Arleen F and Liang, Li-Jung and Vassar, Stefanie D and Merkin, Sharon Stein and Longstreth, W T and Ovbiagele, Bruce and Yan, Tingjian and Escarce, Jos{\'e} J} }