Literature DB >> 11588303

Decline in US stroke mortality: an analysis of temporal patterns by sex, race, and geographic region.

G Howard1, V J Howard, C Katholi, M K Oli, S Huston.   

Abstract

BACKGROUND AND
PURPOSE: Although stroke mortality rates have declined rapidly over the past 30 years, the decline has slowed to a plateau. Here, we assess whether the race-sex-region groups have participated equally in this decline and whether there are groups in which stroke mortality rates are still declining, and we predict how these rates will eventually differ.
METHODS: Data on stroke mortality in the United States between 1968 and 1996 were analyzed in a 3-step procedure: (1) we calculated "crude" age-adjusted stroke mortality rates by race, sex, and county; (2) we "smoothed" the rates across counties and years; and (3) we fit a model to describe the temporal pattern. From this model we calculated the percent decline in stroke mortality, the anticipated additional decline (thereby identifying regions that will continue to decline), and the anticipated eventual stroke mortality rates.
RESULTS: Maps by race-sex-region group describe the above parameters. White men have experienced the largest decline in stroke mortality, and black men have seen the smallest. Generally, stroke mortality appears to still be slowly declining for blacks but not for whites. Geographic differences in stroke mortality are predicted to persist.
CONCLUSIONS: The analysis suggests that the Deep South (Alabama and Mississippi) will fall from the stroke belt and be replaced by other regions (notably Oregon, Washington, and Arkansas). New York City and southern Florida had low stroke mortality rates in 1968, have experienced large declines, and continue to experience declines, resulting in even larger relative heterogeneity of stroke mortality rates. The reasons for these differences in the pattern of the decline in stroke mortality are not understood.

Entities:  

Mesh:

Year:  2001        PMID: 11588303     DOI: 10.1161/hs1001.096047

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  32 in total

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2.  Prevalence of hypertension by duration and age at exposure to the stroke belt.

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Review 3.  Why have neuro-protectants failed?: lessons learned from stroke trials.

Authors:  K W Muir; Ph A Teal
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Review 4.  The Hidden Dangers of Fast and Processed Food.

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5.  Neighborhood disadvantage and ischemic stroke: the Cardiovascular Health Study (CHS).

Authors:  Arleen F Brown; Li-Jung Liang; Stefanie D Vassar; Sharon Stein-Merkin; W T Longstreth; Bruce Ovbiagele; Tingjian Yan; José J Escarce
Journal:  Stroke       Date:  2011-09-22       Impact factor: 7.914

6.  Arsenic Exposure in Relation to Ischemic Stroke: The Reasons for Geographic and Racial Differences in Stroke Study.

Authors:  Cari L Tsinovoi; Pengcheng Xun; Leslie A McClure; Vivian M O Carioni; John D Brockman; Jianwen Cai; Eliseo Guallar; Mary Cushman; Frederick W Unverzagt; Virginia J Howard; Ka He
Journal:  Stroke       Date:  2017-12-06       Impact factor: 7.914

7.  Regional differences in African Americans' high risk for stroke: the remarkable burden of stroke for Southern African Americans.

Authors:  George Howard; Darwin R Labarthe; Jianfang Hu; Sarah Yoon; Virginia J Howard
Journal:  Ann Epidemiol       Date:  2007-09       Impact factor: 3.797

8.  Small-area racial disparity in stroke mortality: an application of bayesian spatial hierarchical modeling.

Authors:  Eric C Tassone; Lance A Waller; Michele L Casper
Journal:  Epidemiology       Date:  2009-03       Impact factor: 4.822

9.  Incidence and Case Fatality at the County Level as Contributors to Geographic Disparities in Stroke Mortality.

Authors:  Darwin R Labarthe; George Howard; Monika M Safford; Virginia J Howard; Suzanne E Judd; Mary Cushman; Brett M Kissela
Journal:  Neuroepidemiology       Date:  2016-09-15       Impact factor: 3.282

10.  Lifecourse social conditions and racial disparities in incidence of first stroke.

Authors:  M Maria Glymour; Mauricio Avendaño; Steven Haas; Lisa F Berkman
Journal:  Ann Epidemiol       Date:  2008-12       Impact factor: 3.797

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