Skip main navigation

Socioeconomic Status and Stroke

An Updated Review
Originally publishedhttps://doi.org/10.1161/STROKEAHA.111.639732Stroke. 2012;43:1186–1191

Abstract

Background and Purpose—

Rates of stroke incidence and mortality vary across populations with important differences between socioeconomic groups worldwide. Knowledge of existing disparities in stroke risk is important for effective stroke prevention and management strategies. This review updates the evidence for associations between socioeconomic status and stroke.

Summary of Review—

Studies were identified with electronic searches of MEDLINE and EMBASE databases (January 2006 to July 2011) and reference lists from identified studies were searched manually. Articles reporting the association between any measure of socioeconomic status and stroke were included.

Conclusions—

The impact of stroke as measured by disability-adjusted life-years lost and mortality rates is >3-fold higher in low-income compared with high- and middle-income countries. The number of stroke deaths is projected to increase by >30% in the next 20 years with the majority occurring in low-income countries. Higher incidence of stroke, stroke risk factors, and rates of stroke mortality are generally observed in low compared with high socioeconomic groups within and between populations worldwide. There is less available evidence of an association between socioeconomic status and stroke recurrence or temporal trends in inequalities. Those with a lower socioeconomic status have more severe deficits and are less likely to receive evidence-based stroke services, although the results are inconsistent. Poorer people within a population and poorer countries globally are most affected in terms of incidence and poor outcomes of stroke. Innovative prevention strategies targeting people in low socioeconomic groups are required along with effective measures to promote access to effective stroke interventions worldwide.

Introduction

Stroke accounts for nearly 10% of all deaths worldwide. It was ranked as the seventh leading cause of disability-adjusted life-years lost in 2002 and is projected to become the sixth by 2030.1,2 It is estimated that in 2005 there were 16 million first-ever strokes and 5.7 million stroke deaths worldwide with 87% of them occurring in low- and middle-income (LMIC) countries.3 The number of first-ever strokes worldwide is projected to increase to 18 million in 2015 and 23 million in 2030 in the absence of population-wide interventions.3 Stroke will remain the second leading cause of death worldwide by 2030.1 The projected increase in stroke mortality is expected to be faster in LMIC compared with high-income countries (HIC) as a result of increasing prevalence of risk factors and differences in availability of primary prevention and acute care programs.3

The importance of socioeconomic factors as predictors of stroke incidence, mortality, and impact has been discussed previously.2,4 A 2006 review of socioeconomic status (SES) and stroke found a generally consistent pattern of higher stroke incidence and mortality in lower socioeconomic groups but conflicting evidence in relation to service provision and trends in outcome between socioeconomic groups.5 There is evidence of widening socioeconomic inequalities in income and cardiovascular disease risk factors in different populations in recent years, but the effects of these changes on previously reported socioeconomic disparities in stroke remain unknown.6,7 Knowledge of existing disparities in stroke risk is important for effective stroke prevention and management.

This article presents an updated overview of associations between SES and stroke. It first provides an overview of the global impact of stroke in terms of mortality and disability-adjusted life-years and differences between countries and income groups. Next, it examines the socioeconomic differences in stroke incidence, distribution of stroke risk factors, case severity, mortality, and access to stroke services.

Methods

Relevant articles published in English between January 2006 and July 2011 and reporting the association between any measure of SES and stroke were identified from electronic searches of MEDLINE and EMBASE databases. Additionally, reference lists from identified studies were searched manually for further relevant publications. Search terms and strategies used included stroke, cerebrovascular accident/disorder, cerebral hemorrhage, subarachnoid hemorrhage, socioeconomic factors, social class, income, poverty, deprivation, manual and nonmanual occupation, recurrence, care, and inequality. A total of 530 titles and abstracts were screened for inclusion. All articles finally included in this review were evaluated for relevance and methodology.

Results

Worldwide Impact

Demographic and epidemiological shifts resulting in population aging and changes in the distribution of cardiovascular risk factors have resulted in stroke becoming a major health problem in LMIC.3,8 Data from the World Health Organization indicate an increased incidence and mortality of stroke in low socioeconomic groups in different populations and a disproportionately increased impact on LMIC compared with HIC.2,3 A systematic review of population-based studies showed that although there was a 42% decrease in stroke incidence in HIC over 4 decades, a >100% increase in stroke incidence occurred in LMIC over the same period (Figure).9 Data from a systematic review of published studies from sub-Saharan Africa suggest that although the absolute prevalence of stroke and number of stroke deaths remain low as a result of the younger population structure, the prevalence of disabling stroke as well as age-adjusted stroke mortality is similar to that reported in developed countries and hospital-based case-fatality is even higher.10 Stroke mortality rates decreased over 2 decades in China due to rapid economic development with a faster decline occurring in economically better-off urban areas compared with disadvantaged rural areas with less developed healthcare services.11 Mortality rates and disability-adjusted life-years lost have been reported to be up to 3.5-fold higher (Figure) in low-income compared with middle- and high-income countries.2,3,9 The number of deaths from stroke is projected to increase from 6.5 million in 2015 to 7.8 million in 2030 with a faster increase projected for LMIC compared with HIC.3 Differences in risk factor distribution, availability of primary stroke prevention programs, and provision of acute care have been considered as possible explanations for the differences in stroke incidence and mortality between HIC and LMIC.2,3,8

Figure.

Figure. Variation in Incidence (cases/100 000 person-years) and early case fatality (%).9

Incidence

An increased incidence of stroke has been reported among those of lower SES as shown in the Table.1220 A meta-analysis of 17 studies published between 1980 and 2008 demonstrated an increased incidence of stroke in those of lower SES (pooled hazard ratio, 1.67 [1.46–1.91]).21 The associations between lower SES and the incidence of stroke have generally been demonstrated across stroke subtypes, although some studies have demonstrated nonsignificant or weaker associations with hemorrhagic stroke.1214 Higher rates of both ischemic and hemorrhagic strokes were found in men and women from lower SES (using area-based deprivation index) in a study conducted in Italy.12 The inverse association between ischemic stroke and annual income observed in a study conducted in Sweden was however not significant with hemorrhagic stroke.14

Table. Studies on SES and Stroke Incidence

StudyYear of Data Collection and Type of StudyAge of Participants, YSample SizeMeasures of SESFindings
Heeley,15 Australia and New Zealand, 2011Three population-based studies 1995–20033077 patients with strokeArea-level socioeconomic deprivationHigher rates of stroke in people from more deprived areas (RR, 1.70; 95% CI, 1.47–1.95)
Grimaud, France, 201117Stroke Register 1995–2003≥4062 299 residents; 1433 strokesArea-level socioeconomic indicatorsLow SES (large neighborhood inequality) increased stroke incidence in women (IRR, 1.34; P=0.003) and in 40- to 59-yr-old men (IRR, 1.56; P=0.01)
Cesaroni, Italy, 200912Hospital data 2001–2004; 1-y follow-up35–8410 033 strokesA small-area composite indexHigher rates of ischemic (RR, 1.76; 95% CI, 1.59–1.95 in men and 1.72; CI, 1.55–1.91 in women) and hemorrhagic (RR, 1.50; 95% CI, 1.26–1.80 in men and 1.37; 95% CI, 1.15–1.63 in women) strokes in low SES than in higher SES groups
McFadden, UK, 200918Participants recruited between 1993–1997 and followed up to 200739–7922 488 in cohort; 683 strokesSocial class: current or last employment or partner's employment; educational statusHigher incidence in social Class V compared with Class I (HR, 2.62; 95% CI, 1.63–4.22)
Li, Sweden, 200814Citizens living in the city of Malmo in 1990 with 10 y follow-up40–65 y at baseline69 625 citizens; 1648 strokesAnnual income and occupational status: job titles and work tasksIncidence increased in those in lowest income quartile compared with highest (RR, 1.75; 95% CI, 1.36–2.25 in women and 1.29; 1.06–1.58 in men)
Avendano, US, 200816National sample of US adults enrolled in 1992, 1993, and 1998 and followed up through 200450+19 445 with 1542 stroke eventsHousehold wealth, income, educationBetween age 50 and 64 y, those in the lowest 10% of wealth had the highest stroke risk (HR, 3.1; CI, 2.1–4.4); the association was not significant after age 65 y
Kuper, Sweden, 200713Random selection of women residing in Uppsala region in 1991 and 1992 followed up until 200230–50 at baseline47 942 cohort; 200 strokesEducationRisk of stroke inversely associated with years of education completed (comparing lowest with highest education, HR, 2.1; 95% CI, 1.4–2.9)
Thrift, Australia, 2006191997–1999 population-based stroke register with follow-upMean age 74.61421 patients with strokeIndex of relative socioeconomic disadvantage and area-based measureFatal and nonfatal stroke incidence increased with increasing levels of socioeconomic disadvantage
Avendano, US, 200620Prospective cohort in 1982 and followed up to 1991 and in 199465+2812 with 270 incident strokesEducation and incomeLower SES associated with higher stroke incidence at ages 65–74 y (HR, for education 2.07; CI, 1.04–4.13); beyond age 75 y, stroke rates were higher among highest education (HR, 0.42; CI, 0.22–0.79)

SES indicates socioeconomic status; RR, relative risk; HR, hazard ratio; IRR, interrater reliability.

Stroke Recurrence

Few studies have investigated the association between SES and stroke recurrence with conflicting findings.14,22 A study conducted in Italy reported a tendency toward an increased risk of a recurrent stroke in men of lower SES compared with those of higher SES after an ischemic stroke.12 An increased risk of stroke recurrence occurred with a decrease in annual income in women but not in men in Sweden.14 There was however no association between SES and stroke recurrence 1, 5, and 10 years after first-ever stroke in a UK study.22

Mortality

An inverse association has been reported between SES and stroke mortality in studies conducted within and across countries. The risk of death after stroke was higher in unemployed patients compared with employed patients in a Danish study.23 Lower SES was associated with an increased 3-year mortality rate after a first-ever stroke in China.24 Graded inverse associations between income and stroke mortality were reported among public servants in South Korea.25 Decreasing income was associated with an increased 28-day and 1-year case-fatality in men but not women in Sweden.14 In a study using World Health Organization data from 35 countries in Europe and Central Asia, stroke mortality rates generally decreased sharply between 1990 and 2006 in countries with the highest economic standard of living, at the same time as increasing substantially in countries with lower economic standards of living over the same period.26 No evidence of socioeconomic disparities was however reported in 30-day or 1-year mortality after a first stroke in an Italian study or in 12-month case-fatality in a pooled analysis of studies from Australia and New Zealand using area-level SES.12,15

Ethnic Differences

Ethnic differences have been reported in the incidence and mortality of stroke. It has been suggested that socioeconomic factors, reflected by income and education, may explain some of the excess ethnic differences in incidence and mortality.20,27 In a US national longitudinal study, adjustment for both childhood and adult social conditions explained nearly all the association between ethnicity and stroke incidence.28 A study reported that 14% to 64% of the increased stroke mortality in black men was explained by socioeconomic factors but with no significant association in black women.27 Studies on mortality differences between blacks and whites have however been inconsistent with some studies reporting an increased mortality and others demonstrating a survival advantage in blacks.27,29,30 Similarly, whereas some studies have reported black patients as receiving fewer evidence-based processes after stroke compared with Hispanic or white patients, others have shown blacks to have better access to evidence-based interventions after stroke.29,31 Given the contradictory evidence, it remains unclear whether or not the effect of ethnicity on stroke is independent of SES.

Risk Factors

Higher rates of stroke risk factors have been reported among people of lower SES.12,13,32 Classic vascular risk factors partly explain the increased risk of stroke among lower socioeconomic groups.15,20,21 A study of patients with stroke and transient ischemic attack found a higher proportion of smokers in the lowest SES quartile.33 The US National Health and Nutrition Examination Surveys conducted at different times between 1971 and 2002 showed a decline in the prevalence of high blood pressure and cholesterol in all socioeconomic groups but with widening socioeconomic disparities observed in smoking.6 A widening of the disparities in the prevalence of stroke risk factors among different socioeconomic groups may partly explain any widening in the socioeconomic disparities in mortality from cardiovascular disease.34 Despite the identification of effective interventions and strategies for preventing stroke and its recurrence through modification and treatment of risk factors, uptake remains considerably low in some populations worldwide.3,35

Stroke Severity

The association between SES and stroke severity has been investigated in a number of studies with some evidence of an association between lower SES and increased severity.33,36 A study that used insurance status as a proxy for SES found a better outcome up to 3 months after stroke (modified Rankin Scale) and milder stroke severity in the acute phase among patients of higher SES in an acute stroke population.37 Studies have demonstrated an association between lower SES and the risk of having more severe deficits after stroke assessed by the modified National Institutes of Health Stroke Scale.5,33,36 A study conducted in Austria found that patients with a higher education were less likely to have comorbidities and to have had a previous stroke or other cardiovascular disease.36 A higher level of education was associated with better motor and functional recovery during the inpatient rehabilitation period after stroke in an European multicenter study.38

Receipt of Stroke Services

SES has been associated with inequalities in the delivery of care across the stroke pathway. Differences in receipt of evidence-based care occur not only between HIC and LMIC, but also within countries with universal access to health care.39 Patients of higher SES were more likely to receive postacute stroke rehabilitation in a US cohort study.40 Using routinely collected data from English public hospitals, patients with stroke from more deprived areas were less likely to receive a brain scan on the same day of admission.39 Regarding secondary stroke prevention, patients with lower income and those without medical insurance were less likely to receive antithrombotic therapy after stroke in China.41 Patients with a higher level of education were more likely to undergo echocardiography and have speech therapy during admission compared with patients with no basic education in Austria.36 Low-income patients were less likely to receive 7 specific processes of care (including stroke unit care, scan, antiplatelets or anticoagulation, assessment by a physiotherapist or occupational therapy) after stroke compared with high-income patients in a Danish nationwide study.23 There were however no socioeconomic differences in the administration of thrombolysis, frequency of physiotherapy or occupational therapy, or the rate of prescribing secondary prevention drugs in Austria.36 Equal access to stroke unit care and an apparent equity in thrombolysis provision among all socioeconomic groups was reported in patients from 3 Scottish hospitals with universal access to care.33

Discussion

This review updates evidence related to associations between SES and stroke. It demonstrates a generally increased impact of stroke among lower socioeconomic groups in different populations with a 30% higher incidence,21 more severe deficits in the acute phase, and higher case-fatality. There is less available evidence of an association between SES and stroke recurrence or temporal trends in inequalities. Those with a lower SES are less likely to receive evidence-based stroke services, but the evidence is inconsistent and requires more research. Socioeconomic disparities in stroke risk were not completely explained by the differences in stroke risk factors or access to care.2,21 Differences in SES along the entire life course may possibly explain socioeconomic differences in stroke risk in adulthood with evidence of an increased risk for developing stroke among those who experience worse socioeconomic conditions in childhood independent of their adult life circumstances.42

A previous review on SES and stroke suggested the need for more prospective population-based studies to confirm the inverse association identified between SES and stroke incidence, mortality, and other outcomes.5 This current review identified more articles using prospective population-based methods published on SES and stroke over the past 5 years. This suggests a growing interest in gathering appropriate research evidence to support implementation of interventions that will address socioeconomic disparities in stroke risk. Most studies were however from HIC with limited evidence from LMIC, emphasizing the need for more rigorous data from such populations.2,10 Few studies were identified on SES and stroke recurrence or temporal trends in inequalities, making it difficult to assess whether patterns of associations are changing over time. The varying methods used in the different studies in this review and the different measures of SES used limit comparisons across studies. Nevertheless, the findings indicate that poorer people within a population and poorer countries globally are most affected in terms of incidence and poor outcomes after stroke. Innovative prevention strategies targeting people in low socioeconomic groups are required along with effective measures to promote access to effective stroke interventions in lower socioeconomic groups.

Sources of Funding

This study was funded by Guy's and St Thomas' Hospital Charity, The Stroke Association, Department of Health HQIP grant, UK, National Institute for Health Research Programme Grant (RP-PG-0407-10184). The authors (C.D.A.W.) acknowledge financial support from the Department of Health through the National Institute for Health Research (NIHR) Biomedical Research Centre award to Guy's & St Thomas' NHS Foundation Trust in partnership with King's College London. Charles DA Wolfe is an NIHR Senior Investigator.

Disclosures

None.

Footnotes

Correspondence to Juliet Addo, PhD,
King's College London, Division of Health and Social Care Research, 7th Floor Capital House, 42 Weston Street, London SE1 3QD, UK
. E-mail

References

  • 1. Mathers CD, Loncar D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med. 2006; 3:e442.CrossrefMedlineGoogle Scholar
  • 2. Johnston SC, Mendis S, Mathers CD. Global variation in stroke burden and mortality: estimates from monitoring, surveillance, and modelling. Lancet Neurol. 2009; 8:345–354.CrossrefMedlineGoogle Scholar
  • 3. Strong K, Mathers C, Bonita R. Preventing stroke: saving lives around the world. Lancet Neurol. 2007; 6:182–187.CrossrefMedlineGoogle Scholar
  • 4. Kim AS, Johnston SC. Global variation in the relative burden of stroke and ischemic heart disease. Circulation. 2011; 124:314–323.LinkGoogle Scholar
  • 5. Cox AM, McKevitt C, Rudd AG, Wolfe CD. Socioeconomic status and stroke. Lancet Neurol. 2006; 5:181–188.CrossrefMedlineGoogle Scholar
  • 6. Kanjilal S, Gregg EW, Cheng YJ, Zhang P, Nelson DE, Mensah G , et al. Socioeconomic status and trends in disparities in 4 major risk factors for cardiovascular disease among US adults, 1971–2002. Arch Intern Med. 2006; 166:2348–2355.CrossrefMedlineGoogle Scholar
  • 7. Ramsay SE, Whincup PH, Hardoon SL, Lennon LT, Morris RW, Wannamethee SG. Social class differences in secular trends in established coronary risk factors over 20 years: a cohort study of British men from 1978–80 to 1998–2000. PLoS One. 2011; 6:e19742.CrossrefMedlineGoogle Scholar
  • 8. Yusuf S, Reddy S, Ounpuu S, Anand S. Global burden of cardiovascular diseases: part I: general considerations, the epidemiologic transition, risk factors, and impact of urbanization. Circulation. 2001; 104:2746–2753.LinkGoogle Scholar
  • 9. Feigin VL, Lawes CM, Bennett DA, Barker-Collo SL, Parag V. Worldwide stroke incidence and early case fatality reported in 56 population-based studies: a systematic review. Lancet Neurol. 2009; 8:355–369.CrossrefMedlineGoogle Scholar
  • 10. Connor MD, Walker R, Modi G, Warlow CP. Burden of stroke in black populations in sub-Saharan Africa. Lancet Neurol. 2007; 6:269–278.CrossrefMedlineGoogle Scholar
  • 11. Zhang XH, Guan T, Mao J, Liu L. Disparity and its time trends in stroke mortality between urban and rural populations in China 1987 to 2001: changing patterns and their implications for public health policy. Stroke. 2007; 38:3139–3144.LinkGoogle Scholar
  • 12. Cesaroni G, Agabiti N, Forastiere F, Perucci CA. Socioeconomic differences in stroke incidence and prognosis under a universal healthcare system. Stroke. 2009; 40:2812–2819.LinkGoogle Scholar
  • 13. Kuper H, Adami HO, Theorell T, Weiderpass E. The socioeconomic gradient in the incidence of stroke: a prospective study in middle-aged women in Sweden. Stroke. 2007; 38:27–33.LinkGoogle Scholar
  • 14. Li C, Hedblad B, Rosvall M, Buchwald F, Khan FA, Engstrom G. Stroke incidence, recurrence, and case-fatality in relation to socioeconomic position: a population-based study of middle-aged Swedish men and women. Stroke. 2008; 39:2191–2196.LinkGoogle Scholar
  • 15. Heeley EL, Wei JW, Carter K, Islam MS, Thrift AG, Hankey GJ , et al. Socioeconomic disparities in stroke rates and outcome: pooled analysis of stroke incidence studies in Australia and New Zealand. Med J Aust. 2011; 195:10–14.CrossrefMedlineGoogle Scholar
  • 16. Avendano M, Glymour MM. Stroke disparities in older Americans: is wealth a more powerful indicator of risk than income and education?Stroke. 2008; 39:1533–1540.LinkGoogle Scholar
  • 17. Grimaud O, Bejot Y, Heritage Z, Vallee J, Durier J, Cadot E , et al. Incidence of stroke and socioeconomic neighborhood characteristics: an ecological analysis of Dijon stroke registry. Stroke. 2011; 42:1201–1206.LinkGoogle Scholar
  • 18. McFadden E, Luben R, Wareham N, Bingham S, Khaw KT. Social class, risk factors, and stroke incidence in men and women: a prospective study in the European prospective investigation into cancer in Norfolk cohort. Stroke. 2009; 40:1070–1077.LinkGoogle Scholar
  • 19. Thrift AG, Dewey HM, Sturm JW, Paul SL, Gilligan AK, Srikanth VK , et al. Greater incidence of both fatal and nonfatal strokes in disadvantaged areas: the Northeast Melbourne Stroke Incidence Study. Stroke. 2006; 37:877–882.LinkGoogle Scholar
  • 20. Avendano M, Kawachi I, Van Lenthe F, Boshuizen HC, Mackenbach JP, Van den Bos GA , et al. Socioeconomic status and stroke incidence in the US elderly: the role of risk factors in the EPESE study. Stroke. 2006; 37:1368–1373.LinkGoogle Scholar
  • 21. Kerr GD, Slavin H, Clark D, Coupar F, Langhorne P, Stott DJ. Do vascular risk factors explain the association between socioeconomic status and stroke incidence: a meta-analysis. Cerebrovasc Dis. 2011; 31:57–63.CrossrefMedlineGoogle Scholar
  • 22. Mohan KM, Crichton SL, Grieve AP, Rudd AG, Wolfe CD, Heuschmann PU. Frequency and predictors for the risk of stroke recurrence up to 10 years after stroke: the South London Stroke Register. J Neurol Neurosurg Psychiatry. 2009; 80:1012–1018.CrossrefMedlineGoogle Scholar
  • 23. Langagergaard V, Palnum KH, Mehnert F, Ingeman A, Krogh BR, Bartels P , et al. Socioeconomic differences in quality of care and clinical outcome after stroke: a nationwide population-based study. Stroke. 2011; 42:2896–2902.LinkGoogle Scholar
  • 24. Zhou G, Liu X, Xu G, Zhang R, Zhu W. The effect of socioeconomic status on three-year mortality after first-ever ischemic stroke in Nanjing, China. BMC Public Health. 2006; 6:227.CrossrefMedlineGoogle Scholar
  • 25. Jung-Choi K, Khang YH, Cho HJ. Socioeconomic differentials in cause-specific mortality among 1.4 million South Korean public servants and their dependents. J Epidemiol Community Health. 2011; 65:632–638.CrossrefMedlineGoogle Scholar
  • 26. Redon J, Olsen MH, Cooper RS, Zurriaga O, Martinez-Beneito MA, Laurent S , et al. Stroke mortality and trends from 1990 to 2006 in 39 countries from Europe and Central Asia: implications for control of high blood pressure. Eur Heart J. 32:1424–1431.CrossrefMedlineGoogle Scholar
  • 27. Howard G, Russell GB, Anderson R, Evans GW, Morgan T, Howard VJ , et al. Role of social class in excess black stroke mortality. Stroke. 1995; 26:1759–1763.LinkGoogle Scholar
  • 28. Glymour MM, Avendano M, Haas S, Berkman LF. Lifecourse social conditions and racial disparities in incidence of first stroke. Ann Epidemiol. 2008; 18:904–912.CrossrefMedlineGoogle Scholar
  • 29. Schwamm LH, Reeves MJ, Pan W, Smith EE, Frankel MR, Olson D , et al. Race/ethnicity, quality of care, and outcomes in ischemic stroke. Circulation. 2010; 121:1492–1501.LinkGoogle Scholar
  • 30. Wolfe CD, Smeeton NC, Coshall C, Tilling K, Rudd AG. Survival differences after stroke in a multiethnic population: follow-up study with the South London stroke register. BMJ. 2005; 331:431.CrossrefMedlineGoogle Scholar
  • 31. Addo J, Bhalla A, Crichton S, Rudd AG, McKevitt C, Wolfe CD. Provision of acute stroke care and associated factors in a multiethnic population: prospective study with the South London Stroke Register. BMJ. 2011;342.Google Scholar
  • 32. Grimaud O, Dufouil C, Alperovitch A, Pico F, Ritchie K, Helmer C , et al. Incidence of ischaemic stroke according to income level among older people: the 3C study. Age Ageing. 2011; 40:116–121.CrossrefMedlineGoogle Scholar
  • 33. Kerr GD, Higgins P, Walters M, Ghosh SK, Wright F, Langhorne P , et al. Socioeconomic status and transient ischaemic attack/stroke: a prospective observational study. Cerebrovasc Dis. 2011; 31:130–137.CrossrefMedlineGoogle Scholar
  • 34. Mackenbach JP, Bos V, Andersen O, Cardano M, Costa G, Harding S , et al. Widening socioeconomic inequalities in mortality in six western European countries. Int J Epidemiol. 2003; 32:830–837.CrossrefMedlineGoogle Scholar
  • 35. Romero JR, Morris J, Pikula A. Stroke prevention: modifying risk factors. Ther Adv Cardiovasc Dis. 2008; 2:287–303.CrossrefMedlineGoogle Scholar
  • 36. Arrich J, Mullner M, Lalouschek W, Greisenegger S, Crevenna R, Herkner H. Influence of socioeconomic status and gender on stroke treatment and diagnostics. Stroke. 2008; 39:2066–2072.LinkGoogle Scholar
  • 37. Rey V, Faouzi M, Huchmand-Zadeh M, Michel P. Stroke initial severity and outcome relative to insurance status in a universal health care system in Switzerland. Eur J Neurol. 2011; 18:1094–1097.CrossrefMedlineGoogle Scholar
  • 38. Putman K, De Wit L, Schoonacker M, Baert I, Beyens H, Brinkmann N , et al. Effect of socioeconomic status on functional and motor recovery after stroke: a European multicentre study. J Neurol Neurosurg Psychiatry. 2007; 78:593–599.CrossrefMedlineGoogle Scholar
  • 39. Lazzarino AI, Palmer W, Bottle A, Aylin P. Inequalities in stroke patients' management in English public hospitals: a survey on 200 000 patients. PLoS One. 2011; 6:e17219.CrossrefMedlineGoogle Scholar
  • 40. Sandel ME, Wang H, Terdiman J, Hoffman JM, Ciol MA, Sidney S , et al. Disparities in stroke rehabilitation: results of a study in an integrated health system in northern California. PM R. 2009; 1:29–40.CrossrefMedlineGoogle Scholar
  • 41. Wang YL, Wu D, Nguyen-Huynh MN, Zhou Y, Wang CX, Zhao XQ , et al. Antithrombotic management of ischaemic stroke and transient ischaemic attack in China: a consecutive cross-sectional survey. Clin Exp Pharmacol Physiol. 2010; 37:775–781.MedlineGoogle Scholar
  • 42. Galobardes B, Smith GD, Lynch JW. Systematic review of the influence of childhood socioeconomic circumstances on risk for cardiovascular disease in adulthood. Ann Epidemiol. 2006; 16:91–104.CrossrefMedlineGoogle Scholar

eLetters(0)

eLetters should relate to an article recently published in the journal and are not a forum for providing unpublished data. Comments are reviewed for appropriate use of tone and language. Comments are not peer-reviewed. Acceptable comments are posted to the journal website only. Comments are not published in an issue and are not indexed in PubMed. Comments should be no longer than 500 words and will only be posted online. References are limited to 10. Authors of the article cited in the comment will be invited to reply, as appropriate.

Comments and feedback on AHA/ASA Scientific Statements and Guidelines should be directed to the AHA/ASA Manuscript Oversight Committee via its Correspondence page.