Literature DB >> 21728934

Socioeconomic disparities in stroke rates and outcome: pooled analysis of stroke incidence studies in Australia and New Zealand.

Emma L Heeley1, Jade W Wei, Kristie Carter, Md Shaheenul Islam, Amanda G Thrift, Graeme J Hankey, Alan Cass, Craig S Anderson.   

Abstract

OBJECTIVE: To assess the influence of area-level socioeconomic status (SES) on incidence and case-fatality rates for stroke. DESIGN, SETTING AND PARTICIPANTS: Analysis of pooled data for 3077 patients with incident stroke from three population-based studies in Perth, Melbourne, and Auckland between 1995 and 2003. MAIN OUTCOME MEASURES: Incidence and 12-month case-fatality rates for stroke.
RESULTS: Annual age-standardised stroke incidence rates ranged from 77 per 100,000 person-years (95% CI, 72-83) in the least deprived areas to 131 per 100,000 person-years (95% CI, 120-141) in the most deprived areas (rate ratio, 1.70; 95% CI, 1.47-1.95; P < 0.001). The population attributable risk of stroke was 19% (95% CI, 12%-27%) for those living in the most deprived areas compared with the least deprived areas. Compared with people in the least deprived areas, those in the most deprived areas tended to be younger (mean age, 68 v 77 years; P < 0.001), had more comorbidities such as hypertension (58% v 51%; P < 0.001) and diabetes (22% v 12%; P < 0.001), and were more likely to smoke (23% v 8%; P < 0.001). After adjustment for age, area-level SES was not associated with 12-month case-fatality rate.
CONCLUSIONS: Our analysis provides evidence that people living in areas that are relatively more deprived in socioeconomic terms experience higher rates of stroke. This may be explained by a higher prevalence of risk factors among these populations, such as hypertension, diabetes and cigarette smoking. Effective preventive measures in the more deprived areas of the community could substantially reduce rates of stroke.

Entities:  

Mesh:

Year:  2011        PMID: 21728934     DOI: 10.5694/j.1326-5377.2011.tb03180.x

Source DB:  PubMed          Journal:  Med J Aust        ISSN: 0025-729X            Impact factor:   7.738


  13 in total

Review 1.  Stroke Disparities: Large Global Problem That Must Be Addressed.

Authors:  Lewis B Morgenstern; Brett M Kissela
Journal:  Stroke       Date:  2015-10-15       Impact factor: 7.914

Review 2.  Moving Towards Equity With Digital Health Innovations for Stroke Care.

Authors:  Aradhana Verma; Amytis Towfighi; Arleen Brown; Anshu Abhat; Alejandra Casillas
Journal:  Stroke       Date:  2022-02-07       Impact factor: 10.170

3.  Neighborhood Socioeconomic Status and Stroke Incidence: A Systematic Review.

Authors:  Yeonwoo Kim; Erica Twardzik; Suzanne E Judd; Natalie Colabianchi
Journal:  Neurology       Date:  2021-03-25       Impact factor: 9.910

4.  Socioeconomic variation in incidence of primary and secondary major cardiovascular disease events: an Australian population-based prospective cohort study.

Authors:  Rosemary J Korda; Kay Soga; Grace Joshy; Bianca Calabria; John Attia; Deborah Wong; Emily Banks
Journal:  Int J Equity Health       Date:  2016-11-21

5.  Decreasing Risk of Fatal Subarachnoid Hemorrhage and Other Epidemiological Trends in the Era of Coiling Implementation in Australia.

Authors:  John Mark Worthington; Chris Goumas; Bin Jalaludin; Melina Gattellari
Journal:  Front Neurol       Date:  2017-08-31       Impact factor: 4.003

6.  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

7.  Regional Deprivation, Stroke Incidence, and Stroke Care—An Analysis of Billing and Quality Assurance Data From the German State of Rhineland-Palatinate.

Authors:  Armin J Grau; Sieghard Dienlin; Dirk Bartig; Werner Maier; Florian Buggle; Heiko Becher
Journal:  Dtsch Arztebl Int       Date:  2021-06-11       Impact factor: 5.594

8.  Declining rates of fatal and nonfatal intracerebral hemorrhage: epidemiological trends in Australia.

Authors:  Melina Gattellari; Chris Goumas; John Worthington
Journal:  J Am Heart Assoc       Date:  2014-12-08       Impact factor: 5.501

9.  Impact of psychosocial factors on cardiovascular morbimortality: a prospective cohort study.

Authors:  Cília Mejía-Lancheros; Ramón Estruch; Miguel-Angel Martínez-González; Jordi Salas-Salvadó; Olga Castañer; Dolores Corella; Fernando Arós; Enrique Gómez-Gracia; Miquel Fiol; José Lapetra; Lluís Serra-Majem; Xavier Pintó; Emilio Ros; Javier Díez-Espino; Josep Basora; José-V Sorlí; Rosa-Maria Lamuela-Raventos; Valentina Ruiz-Gutiérrez; Miguel-Ángel Muñoz
Journal:  BMC Cardiovasc Disord       Date:  2014-10-03       Impact factor: 2.298

Review 10.  Determining rural risk for aneurysmal subarachnoid hemorrhages: A structural equation modeling approach.

Authors:  Linda Jayne Nichols; Seana Gall; Christine Stirling
Journal:  J Neurosci Rural Pract       Date:  2016 Oct-Dec
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.