Literature DB >> 16424377

Greater incidence of both fatal and nonfatal strokes in disadvantaged areas: the Northeast Melbourne Stroke Incidence Study.

Amanda G Thrift1, Helen M Dewey, Jonathan W Sturm, Seana L Paul, Amanda K Gilligan, Velandai K Srikanth, Richard A L Macdonell, John J McNeil, Malcolm R Macleod, Geoffrey A Donnan.   

Abstract

BACKGROUND AND
PURPOSE: Greater stroke mortality has been reported among lower socioeconomic groups. We aimed to determine whether fatal, nonfatal, and overall stroke incidence varied by socioeconomic status.
METHODS: All suspected strokes occurring in 22 postcodes (population of 306,631) of Melbourne, Australia, during a 24-month period between 1997 and 1999 were found and assessed. Multiple overlapping sources were used to ascertain cases with standard clinical definitions for stroke. Socioeconomic disadvantage was assigned in 4 bands from least to greatest using an area-based measure developed by the Australian Bureau of Statistics.
RESULTS: Overall stroke incidence (number per 100,000 population per year), adjusted to the European population 45 to 84 years of age, increased with increasing socioeconomic disadvantage: 200 (95% CI, 173 to 228); 251 (95% CI, 220 to 282); 309 (95% CI, 274 to 343); and 366 (95% CI, 329 to 403; chi2 for ranks; P<0.0001). Similar incidence patterns were observed for both fatal and nonfatal stroke. Nonfatal stroke contributed most to this incidence pattern: 146 (95% CI, 122 to 169); 181 (95% CI, 155 to 207); 223 (95% CI, 194 to 252); and 280 (95% CI, 247 to 313; chi2 for ranks; P<0.0001).
CONCLUSIONS: In this population-based study, both fatal and nonfatal stroke incidence increased with increasing socioeconomic disadvantage. The greater contributor to this incidence pattern was nonfatal stroke incidence. This may have implications for service provision to those least able to afford it. Area-based identification of those most disadvantaged may provide a simple and effective way of targeting regions for stroke prevention strategies.

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Year:  2006        PMID: 16424377     DOI: 10.1161/01.STR.0000202588.95876.a7

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


  15 in total

Review 1.  Therapeutic hypothermia for acute ischemic stroke: ready to start large randomized trials?

Authors:  H Bart van der Worp; Malcolm R Macleod; Rainer Kollmar
Journal:  J Cereb Blood Flow Metab       Date:  2010-03-31       Impact factor: 6.200

2.  Neighborhood income and stroke care and outcomes.

Authors:  Moira K Kapral; Jiming Fang; Crystal Chan; David A Alter; Susan E Bronskill; Michael D Hill; Douglas G Manuel; Jack V Tu; Geoffrey M Anderson
Journal:  Neurology       Date:  2012-08-15       Impact factor: 9.910

3.  Exploring psychosocial pathways between neighbourhood characteristics and stroke in older adults: the cardiovascular health study.

Authors:  Tingjian Yan; José J Escarce; Li-Jung Liang; W T Longstreth; Sharon Stein Merkin; Bruce Ovbiagele; Stefanie D Vassar; Teresa Seeman; Catherine Sarkisian; Arleen F Brown
Journal:  Age Ageing       Date:  2012-12-21       Impact factor: 10.668

4.  Neighborhood socioeconomic disadvantage and mortality after stroke.

Authors:  Arleen F Brown; Li-Jung Liang; Stefanie D Vassar; Sharon Stein Merkin; W T Longstreth; Bruce Ovbiagele; Tingjian Yan; José J Escarce
Journal:  Neurology       Date:  2013-01-02       Impact factor: 9.910

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.  Neighborhood socioeconomic status at the age of 40 years and ischemic stroke before the age of 50 years: A nationwide cohort study from Sweden.

Authors:  Axel C Carlsson; Xinjun Li; Martin J Holzmann; Johan Ärnlöv; Per Wändell; Danijela Gasevic; Jan Sundquist; Kristina Sundquist
Journal:  Int J Stroke       Date:  2017-04-07       Impact factor: 5.266

7.  Effect of socioeconomic status on functional and motor recovery after stroke: a European multicentre study.

Authors:  Koen Putman; Liesbet De Wit; Miranda Schoonacker; Ilse Baert; Hilde Beyens; Nadine Brinkmann; Eddy Dejaeger; Anne-Marie De Meyer; Willy De Weerdt; Hilde Feys; Walter Jenni; Christiane Kaske; Mark Leys; Nadina Lincoln; Birgit Schuback; Wilfried Schupp; Bozena Smith; Fred Louckx
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-12-08       Impact factor: 10.154

8.  Neighborhood Differences in Post-Stroke Mortality.

Authors:  Theresa L Osypuk; Amy Ehntholt; J Robin Moon; Paola Gilsanz; M Maria Glymour
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2017-02-22

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

Authors:  Virginia J Howard; Leslie A McClure; Dawn O Kleindorfer; Solveig A Cunningham; Amanda G Thrift; Ana V Diez Roux; George Howard
Journal:  Neurology       Date:  2016-10-14       Impact factor: 9.910

10.  Impact of socio-economic factors on stroke prevalence among urban and rural residents in Mainland China.

Authors:  Fei Xu; Lap Ah Tse; Xiaomei Yin; Ignatius Tak-sun Yu; Sian Griffiths
Journal:  BMC Public Health       Date:  2008-05-21       Impact factor: 3.295

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