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J Stroke Cerebrovasc Dis ; 23(6): 1529-36, 2014 Jul.
Article in English | MEDLINE | ID: mdl-24589035

ABSTRACT

BACKGROUND: Few studies have investigated the impact of neighborhood characteristics on mortality after stroke. Aim of our study was to analyze the influence of district unemployment as indicator of neighborhood socioeconomic status (SES-NH) on poststroke mortality, and to compare these results with the mortality in the underlying general population. METHODS: Our analyses involve 2 prospective cohort studies from the city of Dortmund, Germany. In the Dortmund Stroke Register (DOST), consecutive stroke patients (N=1883) were recruited from acute care hospitals. In the Dortmund Health Study (DHS), a random general population sample was drawn (n=2291; response rate 66.9%). Vital status was ascertained in the city's registration office and information on district unemployment was obtained from the city's statistical office. We performed multilevel survival analyses to examine the association between district unemployment and mortality. RESULTS: The association between neighborhood unemployment and mortality was weak and not statistically significant in the stroke cohort. Only stroke patients exposed to the highest district unemployment (fourth quartile) had slightly higher mortality risks. In the general population sample, higher district unemployment was significantly associated with higher mortality following a social gradient. After adjustment for education, health-related behavior and morbidity was made the strength of this association decreased. CONCLUSIONS: The impact of SES-NH on mortality was different for stroke patients and the general population. Differences in the association between SES-NH and mortality may be partly explained by disease-related characteristics of the stroke cohort such as homogeneous lifestyles, similar morbidity profiles, medical factors, and old age.


Subject(s)
Brain Ischemia/mortality , Cerebral Hemorrhage/mortality , Residence Characteristics , Stroke/mortality , Unemployment , Aged , Female , Germany , Humans , Male , Prognosis , Prospective Studies , Social Class , Socioeconomic Factors
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