Impact of multiple social determinants of health on incident stroke
Open accessAbstract
Background and Purpose: Social determinants of health (SDOH) have been previously associated with incident stroke. Although SDOH often cluster within individuals, few studies have examined associations between incident stroke and multiple SDOH within the same individual. The objective was to determine the individual and cumulative effects of SDOH on incident stroke. Methods: This study included 27 813 participants from the REGARDS (Reasons for Geographic and Racial Differences in Stroke) Study, a national, representative, prospective cohort of black and white adults aged ≥45 years. SDOH was the primary exposure. The main outcome was expert adjudicated incident stroke. Cox proportional hazards models examined associations between incident stroke and SDOH, individually and as a count of SDOH, adjusting for potential confounders. Results: The mean age was 64.7 years (SD 9.4) at baseline; 55.4% were women and 40.4% were blacks. Over a median follow-up of 9.5 years (IQR, 6.0–11.5), we observed 1470 incident stroke events. Of 10 candidate SDOH, 7 were associated with stroke ( P <0.10): race, education, income, zip code poverty, health insurance, social isolation, and residence in one of the 10 lowest ranked states for public health infrastructure. A significant age interaction resulted in stratification at 75 years. In fully adjusted models, among individuals <75 years, risk of stroke rose as the number of SDOH increased (hazard ratio for one SDOH, 1.26 [95% CI, 1.02–1.55]; 2 SDOH hazard ratio, 1.38 [95% CI, 1.12–1.71]; and ≥3 SDOH hazard ratio, 1.51 [95% CI, 1.21–1.89]) compared with those without any SDOH. Among those ≥75 years, none of the observed effects reached statistical significance. Conclusions: Incremental increases in the number of SDOH were independently associated with higher incident stroke risk in adults aged <75 years, with no statistically significant effects observed in individuals ≥75 years. Targeting individuals with multiple SDOH may help reduce risk of stroke among vulnerable populations.
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Lower individual and neighborhood-level SES are associated with increased incidence and prevalence of CVD, including coronary heart disease, heart failure and stroke.
“Lower individual and neighborhood-level SES are associated with an increased incidence and prevalence of CVD, including coronary heart disease, heart failure and stroke [1,[3], [4], [5], [6]].”
From Income disparity and utilization of cardiovascular preventive care services among U.S. adults (2021) · cites this paper as [4]
The Results report that income, education, and zip-code poverty were associated with incident stroke, with higher stroke risk as the number of social determinants increased among adults under 75. The paper does not report increased coronary heart disease or heart failure incidence or prevalence, nor stroke prevalence, so it supports only the stroke-incidence portion of the broader CVD claim. (LLM, conf=0.90)
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Estruch, R., Ros, E., Salas-Salvadó, J., Covas, M.-I., Corella, D., Arós, F., Gómez-Gracia, E., Ruiz-Gutiérrez, V., Fiol, M., Lapetra, J., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmc1806491 · Cited by 1,008 · see citing works
RetractedA New Equation to Estimate Glomerular Filtration Rate
Levey, A. S., Stevens, L. A., Schmid, C. H., Zhang, Y. (., Castro, A. F., Feldman, H. I., Kusek, J. W., Eggers, P., Van Lente, F., Greene, T., et al. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-9-200905050-00006 · Cited by 25,603 · see citing works
WARE, J. E., KOSINSKI, M., & KELLER, S. D. (1996) · Medical Care · doi:10.1097/00005650-199603000-00003 · Cited by 17,392 · see citing works
Butler, D. C., Petterson, S., Phillips, R. L., & Bazemore, A. W. (2013) · Health Services Research · doi:10.1111/j.1475-6773.2012.01449.x · Cited by 689 · see citing works
Flagged first, then by citations
Research works printed but not linked: 35
- [1]Rosamond WD, Folsom AR, Chambless LE, Wang CH, McGovern PG, Howard G, Copper LS, Shahar E. Stroke incidence and survival among middle-aged adults: 9-year follow-up of the Atherosclerosis Risk in Communities (ARIC) cohort. Stroke. 1999; 30: 736– 743. 10187871
- [2]El-Saed A, Kuller LH, Newman AB, Lopez O, Costantino J, McTigue K, Cushman M, Kronmal R. Geographic variations in stroke incidence and mortality among older populations in four US communities. Stroke. 2006; 37: 1975– 1979. 16794205
- [3]Sacco RL, Boden-Albala B, Gan R, Chen X, Kargman DE, Shea S, Paik MC, Hauser WA. Stroke incidence among white, black, and Hispanic residents of an urban community: the Northern Manhattan Stroke Study. Am J Epidemiol. 1998; 147: 259– 268. 9482500
- [4]Kleindorfer DO, Khoury J, Moomaw CJ, Alwell K, Woo D, Flaherty ML, Khatri P, Adeoye O, Ferioli S, Broderick JP, Stroke incidence is decreasing in whites but not in blacks: a population-based estimate of temporal trends in stroke incidence from the Greater Cincinnati/Northern Kentucky Stroke Study. Stroke. 2010; 41: 1326– 1331. 20489177 PMC2904073
- [5]Howard VJ, Cushman M, Pulley L, Gomez CR, Go RC, Prineas RJ, Graham A, Moy CS, Howard G. The reasons for geographic and racial differences in stroke study: objectives and design. Neuroepidemiology. 2005; 25: 135– 143. 15990444
- [6]Chong JY, Sacco RL. Epidemiology of stroke in young adults: race/ethnic differences. J Thromb Thrombolysis. 2005; 20: 77– 83. 16205856
- [7]Kissela B, Schneider A, Kleindorfer D, Khoury J, Miller R, Alwell K, Woo D, Szaflarski J, Gebel J, Moomaw C, Stroke in a biracial population: the excess burden of stroke among blacks. Stroke. 2004; 35: 426– 431. 14757893
- [8]Howard G, Cushman M, Kissela BM, Kleindorfer DO, McClure LA, Safford MM, Rhodes JD, Soliman EZ, Moy CS, Judd SE, Traditional risk factors as the underlying cause of racial disparities in stroke: lessons from the half-full (empty?) glass. Stroke. 2011; 42: 3369– 3375. 21960581 PMC3226886
- [9]Howard VJ, Kleindorfer DO, Judd SE, McClure LA, Safford MM, Rhodes JD, Cushman M, Moy CS, Soliman EZ, Kissela BM, Disparities in stroke incidence contributing to disparities in stroke mortality. Ann Neurol. 2011; 69: 619– 627. 21416498 PMC3595534
- [13]Institute of Medicine. Guidance for the National Healthcare Disparities Report. Washington, DC: National Academy Press; 2002. 25057628
- [14]Romero J, Wolf P. Epidemiology of Stroke Legacy of Framingham Heart Study. Global Health. 2013; 8: 67– 75. PMC3601756 23527318
- [15]Gillum RF, Ingram DD. Relation between residence in the southeast region of the United States and stroke incidence. The NHANES I Epidemiologic Followup Study. Am J Epidemiol. 1996; 144: 665– 673. 8823063
- [16]Howard VJ, McClure LA, Glymour MM, Cunningham SA, Kleindorfer DO, Crowe M, Wadley VG, Peace F, Howard G, Lackland DT. Effect of duration and age at exposure to the Stroke Belt on incident stroke in adulthood. Neurology. 2013; 80: 1655– 1661. 23616168 PMC3716470
- [17]Judd SE, Gutierrez OM, Newby PK, Howard G, Howard VJ, Locher JL, Kissela BM, Shikany JM. Dietary patterns are associated with incident stroke and contribute to excess risk of stroke in black Americans. Stroke. 2013; 44: 3305– 3311. 24159061 PMC3898713
- [18]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. 18436891 PMC3079499
- [19]Glymour MM, Avendano M, Haas S, Berkman LF. Lifecourse of Social Conditions and Racial Disparities in Incidence of First Stroke. Ann Epidemiol. 2008; 18: 904– 912. 19041589 PMC2796851
- [20]Salaycik KJ, Kelly-Hayes M, Beiser A, Nguyen AH, Brady SM, Kase CS, Wolf PA. Depressive symptoms and risk of stroke: the Framingham Study. Stroke. 2007; 38: 16– 21. 17138952
- [23]O’Neal WT, Howard VJ, Kleindorfer D, Kissela B, Judd SE, McClure LA, Cushman M, Howard G, Soliman EZ. Interrelationship between electrocardiographic left ventricular hypertrophy, QT prolongation, and ischaemic stroke: the REasons for Geographic and Racial Differences in Stroke Study. Europace. 2016; 18: 767– 772. 26487665 PMC4880112
- [28]Cox DR. Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological). 1972; 34: 187– 202.
- [29]Freund RJ, Wilson WJ and Sa P. Regression analysis. Elsevier; 2006.
- [30]Avendano M, Kawachi I, Van Lenthe F, Boshuizen HC, Mackenbach JP, Van den Bos GA, Fay ME, Berkman LF. Socioeconomic status and stroke incidence in the US elderly: the role of risk factors in the EPESE study. Stroke. 2006; 37: 1368– 73. 16690902
- [32]Buuren SV, Groothuis-Oudshoorn K. mice: Multivariate imputation by chained equations in R. Journal of statistical software. 2010: 1– 68.
- [33]Benjamin EJ, Virani SS, Callaway CW, Chamberlain AM, Chang AR, Cheng S, Chiuve SE, Cushman M, Delling FN, Deo R, Heart Disease and Stroke Statistics-2018 Update: A Report From the American Heart Association. Circulation. 2018; 137: e67– e492. 29386200
- [34]Howard G, Goff DC. Population shifts and the future of stroke: forecasts of the future burden of stroke. Ann N Y Acad Sci. 2012; 1268: 14– 20. 22994216 PMC3727892
- [35]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– 7. 19228844
- [36]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. 17138948
- [37]Bray BD, Paley L, Hoffman A, James M, Gompertz P, Wolfe CD, Hemingway H, Rudd AG, SSNAP Collaboration. Socioeconomic disparities in first stroke incidence, quality of care, and survival: a nationwide registry-based cohort study of 44 million adults in England. The Lancet Public Health. 2018; 3: e185– 93. 29550372 PMC5887080
- [38]Carlsson AC, Li X, Holzmann MJ, Ärnlöv J, Wändell P, Gasevic D, Sundquist J, Sundquist K. Neighborhood socioeconomic status at the age of 40 years and ischemic stroke before the age of 50 years: A nationwide cohort study from Sweden. International Journal of Stroke. 2017; 12: 815– 26. 28387158 PMC6708082
- [39]Grimaud O, Béjot Y, Heritage Z, Vallée J, Durier J, Cadot E, Giroud M, Chauvin P. Incidence of stroke and socioeconomic neighborhood characteristics: an ecological analysis of Dijon stroke registry. Stroke. 2011; 42: 1201– 6. 21393599
- [41]Cesaroni G, Agabiti N, Forastiere F, Perucci CA. Socioeconomic differences in stroke incidence and prognosis under a universal healthcare system. Stroke. 2009; 40: 2812– 9. 19478229
- [42]Howard VJ, McClure LA, Kleindorfer DO, Cunningham SA, Thrift AG, Roux AV, Howard G. Neighborhood Socioeconomic Index And Stroke Incidence in a National Cohort of Blacks and Whites. Neurology. 2016; 87: 2340– 7. 27742815 PMC5135020
- [43]Schroff P, Gamboa CM, Durant RW, Oikeh A, Richman JS, Safford MM. Vulnerabilities to Health Disparities and Statin Use in the REGARDS (Reasons for Geographic and Racial Differences in Stroke) Study. J Am Heart Assoc. 2017; 6: e005449. 28847913 PMC5634251
- [44]Hlatky MA, Ray RM, Burwen DR, Margolis KL, Johnson KC, Kucharska-Newton A, Manson JE, Robinson JG, Safford MM, Allison M, Use of Medicare Data to Identify Coronary Heart Disease Outcomes in the Women’s Health Initiative. Circ Cardiovasc Qual Outcomes. 2014; 7: 157– 162. 24399330 PMC4548886
- [45]Kumamaru H, Judd SE, Curtis JR, Ramachandran R, Hardy NC, Rhodes JD, Safford MM, Kissela BM, Howard G, Jalbert JJ, Validity of claims-based stroke algorithms in contemporary Medicare data: reasons for geographic and racial differences in stroke (REGARDS) study linked with medicare claims. Circ Cardiovasc Qual Outcomes. 2014; 7: 611– 619. 24963021 PMC4109622
- [46]Zafarmand MH, Spanjer M, Nicolaou M, Wijnhoven H, van Schaik B, Uitterlinden AG, Snieder H, and Vrijkotte T. Influence of Dietary Approaches to Stop Hypertension-Type Diet, Known Genetic Variants and Their Interplay on Blood Pressure in Early Childhood: ABCD Study. Hypertension. 2020; 75: 59– 70. 31786974
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- Authors
- Reshetnyak, E., Ntamatungiro, M., Pinheiro, L. C., Howard, V. J., Carson, A. P., Martin, K. D., & Safford, M. M.
- Affiliations
- Cornell University (US)
- Columbia University Irving Medical Center (US)
- University of Alabama at Birmingham (US)
- ORCID
- Venue
- Stroke
- Published
- 2020-08
- Volume
- 51
- Issue
- 8
- Pages
- 2445-2453
- ISSN
- 0039-2499 (ISSN-L)
- 1524-4628
- PMC
- PMC9264323
- OpenAlex
- W3043380300
- Cited by
- 214
- References
- 4
- Citations by year
- 2026: 28 · 2025: 48 · 2024: 44 · 2023: 42 · 2022: 25 · 2021: 22 · 2020: 5
- FWCI
- 13.01
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Stroke (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R01HL080477, R01HL165452)
- National Institute of Neurological Disorders and Stroke (U01NS041588)
- Topics
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Medicine › Epidemiology › Acute Ischemic Stroke Management
- Social Sciences › Health › Public Health and Social Inequalities
- Keywords
- social determinants of health, incident stroke, older adults, racial disparities, income, poverty, health insurance, social isolation, public health infrastructure, REGARDS study
- MeSH terms
- Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Poverty, Prospective Studies, Risk Factors, Socioeconomic Factors, Cohort Studies, Incidence, Stroke, Black People, White People, Health Status Disparities, Self Report, Social Determinants of Health
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