Georeferencing deaths from stroke in São Paulo: an intra-city stroke belt?

Background The role of socioeconomic status in the worldwide stroke burden has been studied with various methods using vital statistics and research-generated data. Aim The objective of our study was to describe the stroke mortality rates and the stroke mortality distribution, and to evaluate the association between stroke mortality rates and geographical distribution with the human development index in São Paulo, Brazil. Methods This ecological study evaluated a historical series of stroke mortality in São Paulo, Brazil, from 2004 to 2010. Standard stroke mortality rate per 100 000 inhabitants at each year, the address of residence assumed as the place of living, and the human development index applied as a social indicator were used in order to evaluate if stroke mortality correlated with socioeconomic status. Results The mean standardized stroke mortality in São Paulo decreased from 66 to 46-7 per 100 000 inhabitants from 2004 to 2010. Stroke mortality differed according to human development index strata with an almost three times higher stroke mortality in the lowest when compared with the highest human development index stratum. Visual inspection of the map of the districts with high stroke mortality disclosed regional clusters with high mortality in the east, northwest, and south regions, a finding suggestive of the presence of a stroke belt inside the city of São Paulo. Conclusions In conclusion, between 2004 and 2010, stroke mortality rates decreased by 28-5% in São Paulo. A geographical pattern in stroke mortality could be observed, with considerable differences according the human development index level of the place of living.

[1]  George Howard,et al.  Global stroke statistics , 2017, International journal of stroke : official journal of the International Stroke Society.

[2]  D. Mozaffarian,et al.  Heart disease and stroke statistics--2014 update: a report from the American Heart Association. , 2014, Circulation.

[3]  C. McKevitt,et al.  Socioeconomic Status and Stroke: An Updated Review , 2012, Stroke.

[4]  R. Sacco,et al.  Socioeconomic status and stroke mortality: refining the relationship. , 2002, Stroke.

[5]  Debbie A Lawlor,et al.  Birth Weight Is Inversely Associated With Incident Coronary Heart Disease and Stroke Among Individuals Born in the 1950s: Findings From the Aberdeen Children of the 1950s Prospective Cohort Study , 2005, Circulation.

[6]  R. D'Agostino,et al.  Advancing the hypothesis that geographic variations in risk factors contribute relatively little to observed geographic variations in heart disease and stroke mortality. , 2009, Preventive Medicine.

[7]  E. M. Millán Índice de desarrollo humano como evaluador de los determinantes socioeconómicos de la salud en España , 2007 .

[8]  J. Saver,et al.  Therapeutic Milestone: Stroke Declines From the Second to the Third Leading Organ- and Disease-Specific Cause of Death in the United States , 2010, Stroke.

[9]  J. Eluf-Neto,et al.  Trends in stroke incidence, mortality and case fatality rates in Joinville, Brazil: 1995–2006 , 2009, Journal of Neurology, Neurosurgery, and Psychiatry.

[10]  K. Greenlund,et al.  Factors Explaining Excess Stroke Prevalence in the US Stroke Belt , 2009, Stroke.

[11]  R. Veras,et al.  Progressive Decline in Stroke Mortality in Brazil From 1980 to 1982, 1990 to 1992, and 2000 to 2002 , 2006, Stroke.

[12]  B. Portnov,et al.  On ecological fallacy, assessment errors stemming from misguided variable selection, and the effect of aggregation on the outcome of epidemiological study , 2007, Journal of Exposure Science and Environmental Epidemiology.

[13]  C. McKevitt,et al.  Socioeconomic status and stroke , 2006, The Lancet Neurology.

[14]  M. T. Medina,et al.  Stroke epidemiology, prevention, and management strategies at a regional level: Latin America and the Caribbean , 2007, The Lancet Neurology.

[15]  J. Mackenbach,et al.  Trends in socioeconomic disparities in stroke mortality in six european countries between 1981-1985 and 1991-1995. , 2005, American journal of epidemiology.

[16]  C. Moy,et al.  Racial and Geographic Differences in Awareness, Treatment, and Control of Hypertension: The REasons for Geographic And Racial Differences in Stroke Study , 2006, Stroke.

[17]  Carla Cardoso Brazil: towards sustainability and equity in health , 2012 .

[18]  M. Glymour,et al.  Birth and adult residence in the Stroke Belt independently predict stroke mortality , 2009, Neurology.

[19]  I. Benseñor,et al.  Stroke Mortality in Brazil: One Example of Delayed Epidemiological Cardiovascular Transition , 2009, International journal of stroke : official journal of the International Stroke Society.

[20]  V. Feigin,et al.  Stroke epidemiology: a review of population-based studies of incidence, prevalence, and case-fatality in the late 20th century , 2003, The Lancet Neurology.

[21]  G. Silva,et al.  Stroke Epidemiology, Patterns of Management, and Outcomes in Fortaleza, Brazil: A Hospital-Based Multicenter Prospective Study , 2011, Stroke.

[22]  V. Feigin,et al.  Worldwide stroke incidence and early case fatality reported in 56 population-based studies: a systematic review , 2009, The Lancet Neurology.

[23]  P. Lavados,et al.  Socioeconomic and Cardiovascular Variables Explaining Regional Variations in Stroke Mortality in Chile: An Ecological Study , 2011, Neuroepidemiology.