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Socioeconomic Status and Long-Term Stroke Mortality, Recurrence and Disability in Iran: The Mashhad Stroke Incidence Study.
Morovatdar, Negar; Thrift, Amanda G; Stranges, Saverio; Kapral, Moira; Behrouz, Reza; Amiri, Amin; Heshmati, Abbas; Ghahremani, Amirali; Farzadfard, Mohammad Taghi; Mokhber, Naghmeh; Azarpazhooh, Mahmoud Reza.
Afiliação
  • Morovatdar N; Clinical Research Unit, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Thrift AG; Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
  • Stranges S; Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
  • Kapral M; Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
  • Behrouz R; Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.
  • Amiri A; Department of Medicine and Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
  • Heshmati A; Department of Neurology, Lozano-Long School of Medicine, University of Texas Health, Tyler, Texas, USA.
  • Ghahremani A; Department of Neurology, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Farzadfard MT; Department of Neurology, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Mokhber N; Department of Neurology, North Khorasan University of Medical Sciences, Bojnord, Iran.
  • Azarpazhooh MR; Department of Neurology, Mashhad University of Medical Sciences, Mashhad, Iran.
Neuroepidemiology ; 53(1-2): 27-31, 2019.
Article em En | MEDLINE | ID: mdl-30991387
BACKGROUND: Little is known about the association between socioeconomic status and long-term stroke outcomes, particularly in low- and middle-income countries. METHODS: Patients were recruited from the Mashhad Stroke Incidence Study in Iran. We identified different socioeconomic variables including the level of education, occupation, household size, and family income. Residential location according to patient's neighbourhood was classified into less privileged area (LPA), middle privileged area and high privileged area (HPA). Using Cox regression, competing risk analysis and logistic regression models, we determined the association between socioeconomic status and 1- and 5-year stroke outcomes. Generalized linear model was used for adjusting associated variables for stroke severity. RESULTS: Six hundred twenty-four patients with first-ever stroke were recruited in this study. Unemployment prior to stroke was associated with an increased risk of 1- and 5-year post-stroke mortality (1 year: adjusted hazard ratio [aHR] 3.3; 95% CI 1.6-7.06: p = 0.001; 5 years: aHR 2.1; 95% CI 1.2-3.6: p = 0.007). The 5-year mortality rate was higher in less educated patients (<12 years) as compared to those with at least 12 years of schooling (aHR 1.84; 95% CI 1.05-3.23: p = 0.03). Patients living in LPA compared to those living in HPAs experienced a more severe stroke at admission (aB 3.84; 95% CI 0.97-6.71, p = 0.009) and disabling stroke at 1 year follow-up (OR 6.1; 95% CI 1.3-28.4; p = 0.02). CONCLUSION: A comprehensive stroke strategy should also address socioeconomic disadvantages.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Classe Social / Acidente Vascular Cerebral Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Classe Social / Acidente Vascular Cerebral Idioma: En Ano de publicação: 2019 Tipo de documento: Article