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

被引:51
|
作者
Howard, Virginia J. [1 ]
McClure, Leslie A. [2 ]
Kleindorfer, Dawn O. [3 ]
Cunningham, Solveig A. [4 ,5 ]
Thrift, Amanda G. [6 ,7 ]
Roux, Ana V. Diez
Howard, George [2 ]
机构
[1] Univ Alabama Birmingham, Sch Publ Hlth, Dept Epidemiol, Birmingham, AL USA
[2] Drexel Univ, Dornsife Sch Publ Hlth, Dept Epidemiol & Biostat, Philadelphia, PA 19104 USA
[3] Univ Cincinnati, Coll Med, Dept Neurol, Cincinnati, OH 45221 USA
[4] Emory Univ, Hubert Dept Global Hlth, Atlanta, GA 30322 USA
[5] Emory Univ, Dept Sociol, Atlanta, GA 30322 USA
[6] Monash Univ, Monash Hlth, Sch Clin Sci, Stroke & Ageing Res STARC,Dept Med,Epidemiol & Pr, Clayton, Vic, Australia
[7] Univ Melbourne, Florey Inst Neurosci & Mental Hlth, Heidelberg, Vic, Australia
基金
美国国家卫生研究院; 英国医学研究理事会;
关键词
DISEASE RISK-FACTORS; GEOGRAPHIC-DISTRIBUTION; INDIVIDUAL-LEVEL; ISCHEMIC-STROKE; MORTALITY; HEALTH; DEPRIVATION; ENVIRONMENT; DISPARITIES; POPULATION;
D O I
10.1212/WNL.0000000000003299
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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.
引用
收藏
页码:2340 / 2347
页数:8
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