Literature DB >> 25850531

Living standard is related to microregional differences in stroke characteristics in Central Europe: the Budapest Districts 8-12 Project.

András Folyovich1, Ildikó Vastagh, Anna Kéri, Angéla Majoros, Koppány Levente Kovács, András Ajtay, Zsuzsanna Laki, Bence Gunda, Katalin Erdei, Laura Lenti, Zsófia Dános, Dániel Bereczki.   

Abstract

OBJECTIVES: To test whether str oke features relate to living standard within one city by comparing 2 districts.
METHODS: District-8 (D-8) ranks the last, whereas District-12 (D-12) is the second regarding personal monthly income of the 23 districts of Budapest, Hungary. Stroke cases hospitalized in 2007 were identified by the database of the National Health Insurance Fund and postal codes for living address. Case certification was performed by personal visits to the general practitioners. Demographic data, risk factors and survival status in 2010 were analyzed using the anonymized database.
RESULTS: Three-year case fatality was 36.6 % in D-8 and 31.5 % in D-12 (p = 0.24). Of the fatal cases, men were more than 12 years younger in D-8 than in D-12 (69.2 ± 13.3 vs. 82.4 ± 9.2 years, p < 0.001). Men died younger than women in D-8 (69.2 ± 13.3 vs. 75.2 ± 12.4; p = 0.036), but not in D-12 (82.4 ± 9.2 vs. 81.9 ± 7.3, p = 0.8). Non-treated hypertension, alcohol dependence, and smoking were significantly more prevalent in the poor district (p < 0.01 for all).
CONCLUSION: In national stroke programs of former Eastern Block countries, primary prevention should focus especially on male populations of less wealthy regions.

Entities:  

Mesh:

Year:  2015        PMID: 25850531     DOI: 10.1007/s00038-015-0674-y

Source DB:  PubMed          Journal:  Int J Public Health        ISSN: 1661-8556            Impact factor:   3.380


  25 in total

1.  Incidence of ischaemic stroke according to income level among older people: the 3C study.

Authors:  Olivier Grimaud; Carole Dufouil; Annick Alpérovitch; Fernando Pico; Karen Ritchie; Catherine Helmer; Christophe Tzourio; Pierre Chauvin
Journal:  Age Ageing       Date:  2010-11-10       Impact factor: 10.668

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.  Unemployment: a social risk factor associated with early ischemic stroke mortality? Results from the Argentinean National Stroke Registry (ReNACer).

Authors:  Luciano A Sposato; Pablo Ioli; Guillermo Povedano; María Martha Esnaola y Rojas; Gustavo Saposnik
Journal:  J Stroke Cerebrovasc Dis       Date:  2011-04-09       Impact factor: 2.136

4.  Socioeconomic inequalities in cardiovascular disease mortality; an international study.

Authors:  J P Mackenbach; A E Cavelaars; A E Kunst; F Groenhof
Journal:  Eur Heart J       Date:  2000-07       Impact factor: 29.983

5.  Stroke monitoring on a national level: PERFECT Stroke, a comprehensive, registry-linkage stroke database in Finland.

Authors:  Atte Meretoja; Risto O Roine; Markku Kaste; Miika Linna; Merja Juntunen; Terttu Erilä; Matti Hillbom; Reijo Marttila; Aimo Rissanen; Juhani Sivenius; Unto Häkkinen
Journal:  Stroke       Date:  2010-08-26       Impact factor: 7.914

6.  The Debrecen Stroke Database: demographic characteristics, risk factors, stroke severity and outcome in 8088 consecutive hospitalised patients with acute cerebrovascular disease.

Authors:  D Bereczki; L Mihálka; I Fekete; A Valikovics; T Csépány; B Fülesdi; Z Bajkó; C Szekeres; K Fekete; L Csiba
Journal:  Int J Stroke       Date:  2009-10       Impact factor: 5.266

7.  Socioeconomic status of very small areas and stroke incidence in the Netherlands.

Authors:  J Smits; G P Westert; G A M van den Bos
Journal:  J Epidemiol Community Health       Date:  2002-08       Impact factor: 3.710

8.  Factors explaining excess stroke prevalence in the US Stroke Belt.

Authors:  Youlian Liao; Kurt J Greenlund; Janet B Croft; Nora L Keenan; Wayne H Giles
Journal:  Stroke       Date:  2009-08-13       Impact factor: 7.914

9.  On the validity of area-based income measures to proxy household income.

Authors:  Gillian E Hanley; Steve Morgan
Journal:  BMC Health Serv Res       Date:  2008-04-10       Impact factor: 2.655

10.  Contribution of modifiable risk factors to social inequalities in type 2 diabetes: prospective Whitehall II cohort study.

Authors:  Silvia Stringhini; Adam G Tabak; Tasnime N Akbaraly; Séverine Sabia; Martin J Shipley; Michael G Marmot; Eric J Brunner; G David Batty; Pascal Bovet; Mika Kivimäki
Journal:  BMJ       Date:  2012-08-21
View more
  3 in total

1.  Health related quality of life and satisfaction with care of stroke patients in Budapest: A substudy of the EuroHOPE project.

Authors:  Ildikó Szőcs; Balázs Dobi; Judit Lám; Károly Orbán-Kis; Unto Häkkinen; Éva Belicza; Dániel Bereczki; Ildikó Vastagh
Journal:  PLoS One       Date:  2020-10-22       Impact factor: 3.240

2.  Changes in stroke mortality trends and premature mortality due to stroke in Serbia, 1992-2013.

Authors:  Zana Dolicanin; Dragan Bogdanovic; Konstansa Lazarevic
Journal:  Int J Public Health       Date:  2015-11-05       Impact factor: 3.380

3.  Socioeconomic gap between neighborhoods of Budapest: Striking impact on stroke and possible explanations.

Authors:  Ildikó Szőcs; Dániel Bereczki; András Ajtay; Ferenc Oberfrank; Ildikó Vastagh
Journal:  PLoS One       Date:  2019-02-20       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.