Neighborhood socioeconomic index and stroke incidence in a national cohort of blacks and whites

VJ Howard, LA McClure, DO Kleindorfer… - Neurology, 2016 - AAN Enterprises
VJ Howard, LA McClure, DO Kleindorfer, SA Cunningham, AG Thrift, AV Diez Roux…
Neurology, 2016AAN Enterprises
Objective: To assess the relationship between neighborhood socioeconomic characteristics
and incident stroke in a national cohort of black and white participants. Methods: The study
comprised black (n= 10,274, 41%) and white (n= 14,601) stroke-free participants, aged 45
and older, enrolled in 2003–2007 in Reasons for Geographic and Racial Differences in
Stroke (REGARDS), a national population-based cohort. A neighborhood socioeconomic
score (nSES) was constructed using 6 neighborhood variables. Incident stroke was defined …
Objective
To assess the relationship between neighborhood socioeconomic characteristics and incident stroke in a national cohort of black and white participants.
Methods
The study comprised black (n = 10,274, 41%) and white (n = 14,601) stroke-free participants, aged 45 and older, enrolled in 2003–2007 in Reasons for Geographic and Racial Differences in Stroke (REGARDS), a national population-based cohort. A neighborhood socioeconomic score (nSES) was constructed using 6 neighborhood variables. Incident stroke was defined as first occurrence of stroke over an average 7.5 (SD 3.0) years of follow-up. Proportional hazards models were used to estimate associations between nSES score and incident stroke, adjusted for demographics (age, race, sex, region), individual socioeconomic status (SES) (education, household income), and other risk factors for stroke.
Results
After adjustment for demographics, compared to the highest nSES quartile, stroke incidence increased with each decreasing nSES quartile. The hazard ratio (95% confidence interval) ranged from 1.28 (1.05–1.56) in quartile 3 to 1.38 (1.13–1.68) in quartile 2 to 1.56 (1.26–1.92) in quartile 1 (p < 0.0001 for linear trend). After adjustment for individual SES, the trend remained marginally significant (p = 0.085). Although there was no evidence of a differential effect by race or sex, adjustment for stroke risk factors attenuated the association between nSES and stroke in both black and white participants, with greater attenuation in black participants.
Conclusions
Risk of incident stroke increased with decreasing nSES but the effect of nSES is attenuated through individual SES and stroke risk factors. The effect of neighborhood socioeconomic characteristics that contribute to increased stroke risk is similar in black and white participants.
American Academy of Neurology