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Geographical variation of cerebrovascular disease in New York State: the correlation with income by Daikwon Han; Shannon S Carrow; Peter A Rogerson; Frederick E Munschauer is a Medicine article available to read on EtoBox.

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## Background Income is known to be associated with cerebrovascular disease; however, little is known about the more detailed relationship between cerebrovascular disease and income. We examined the hypothesis that the geographical distribution of cerebrovascular disease in New York State may be predicted by a nonlinear model using income as a surrogate socioeconomic risk factor. ## Results We used spatial clustering methods to identify areas with high and low prevalence of cerebrovascular disease at the ZIP code level after smoothing rates and correcting for edge effects; geographic locations of high and low clusters of cerebrovascular disease in New York State were identified with and without income adjustment. To examine effects of income, we calculated the excess number of cases using a non-linear regression with cerebrovascular disease rates taken as the dependent variable and income and income squared taken as independent variables. The resulting regression equation was: __excess rate__ = 32.075 - 1.22\*10^-4^(__income__) + 8.068\*10^-10^(__income__^2^), and both income and income squared variables were significant at the 0.01 level. When income was included as a covariate in

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Author

Daikwon Han; Shannon S Carrow; Peter A Rogerson; Frederick E Munschauer

Publisher

BioMed Central; Springer (Biomed Central Ltd.); [London]: BioMed Central, c2002-; Springer Science and Business Media LLC (ISSN 1476-072X)

Published

2005

Language

EN

Field

Medicine (Health Sciences)