Socioeconomic Status and Long-Term Stroke Mortality, Recurrence and Disability in Iran: The Mashhad Stroke Incidence Study.


Journal

Neuroepidemiology
ISSN: 1423-0208
Titre abrégé: Neuroepidemiology
Pays: Switzerland
ID NLM: 8218700

Informations de publication

Date de publication:
2019
Historique:
received: 08 07 2018
accepted: 25 10 2018
pubmed: 17 4 2019
medline: 26 6 2020
entrez: 17 4 2019
Statut: ppublish

Résumé

Little is known about the association between socioeconomic status and long-term stroke outcomes, particularly in low- and middle-income countries. 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. 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). A comprehensive stroke strategy should also address socioeconomic disadvantages.

Sections du résumé

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.

Identifiants

pubmed: 30991387
pii: 000494885
doi: 10.1159/000494885
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

27-31

Informations de copyright

© 2019 S. Karger AG, Basel.

Auteurs

Negar Morovatdar (N)

Clinical Research Unit, Mashhad University of Medical Sciences, Mashhad, Iran.

Amanda G Thrift (AG)

Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.

Saverio Stranges (S)

Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.

Moira Kapral (M)

Department of Medicine and Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.

Reza Behrouz (R)

Department of Neurology, Lozano-Long School of Medicine, University of Texas Health, Tyler, Texas, USA.

Amin Amiri (A)

Department of Neurology, Mashhad University of Medical Sciences, Mashhad, Iran.

Abbas Heshmati (A)

Department of Neurology, Mashhad University of Medical Sciences, Mashhad, Iran.

Amirali Ghahremani (A)

Department of Neurology, North Khorasan University of Medical Sciences, Bojnord, Iran.

Mohammad Taghi Farzadfard (MT)

Department of Neurology, Mashhad University of Medical Sciences, Mashhad, Iran.

Naghmeh Mokhber (N)

Department of Psychiatry and Behavioral Neurosciences, Western University, London, Ontario, Canada.
Department of Psychiatry, Mashhad University of Medical Sciences, Mashhad, Iran.

Mahmoud Reza Azarpazhooh (MR)

Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada, reza.azarpazhooh@lhsc.on.ca.
Department of Neurology, Mashhad University of Medical Sciences, Mashhad, Iran, reza.azarpazhooh@lhsc.on.ca.
Stroke Prevention and Atherosclerosis Research Centre, Robarts Research Institute, Western University, London, Ontario, Canada, reza.azarpazhooh@lhsc.on.ca.
Department of Clinical Neurological Sciences, Western University, London, Ontario, Canada, reza.azarpazhooh@lhsc.on.ca.

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