Cited by 47Health disparities and outcomesCardiac Health and Mental HealthCardiovascular Health and Risk Factors

Neighborhood socioeconomic status and adverse outcomes in patients with cardiovascular disease

Open access
Topel, Matthew L., Kim, Jeong Hwan, Mujahid, Mahasin S., Sullivan, Samaah M., Ko, Yi-An, Vaccarino, Viola, Quyyumi, Arshed A., Lewis, Tené T.·2019·The American Journal of Cardiology

Abstract

Neighborhood socioeconomic status (nSES) is associated with cardiovascular morbidity and mortality in the general population; however, its effect on high-risk patients with prevalent coronary artery disease (CAD) is unclear. We hypothesized "double jeopardy," whereby the association between nSES and adverse outcomes would be greater in high-risk patients with heart failure (HF) and/or previous myocardial infarction (MI) compared with those without. We followed 3,635 patients (mean age 63.2 years, 42% with HF, 25% with previous MI) with known or suspected CAD over a median of 3.3 years for all-cause death and cardiovascular death or nonfatal MI. Patients were categorized by a composite nSES score, and proportional hazards models were used to determine the association between nSES and outcomes. Cross-product interaction terms for previous MI × nSES and HF × nSES were analyzed. Compared with high nSES patients, low nSES patients had increased risk of all-cause death (hazard ratio [HR] = 1.61; 95% confidence interval [CI] = 1.20, 2.15) and cardiovascular death or MI (subdistribution HR [sHR] = 1.82; 95% CI = 1.30, 2.54). Associations were more pronounced among patients without HF or previous MI. Low nSES patients without HF had a higher risk of all-cause death (HR = 2.27; 95% CI = 1.41, 3.65) compared with those with HF (HR = 1.21; 95% CI = 0.82, 1.77, P interaction = 0.04). Similarly, low nSES patients without previous MI had a higher risk of cardiovascular death or MI (sHR = 2.72; 95% CI = 1.73, 4.28) compared with those with previous MI (sHR = 1.02; 95% CI = 0.58, 1.81, P interaction = 0.02). In conclusion, low nSES was independently associated with all-cause death and cardiovascular death or MI in patients with CAD; however, associations were greater in patients without HF or previous MI compared with those with HF or MI.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.amjcard.2018.10.011

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Individuals of lower socioeconomic status experience worse cardiovascular outcomes and have higher rates of cardiovascular risk factors.

    “Studies have shown that individuals of lower SES experience worse cardiovascular outcomes and have higher rates of cardiovascular risk factors [5,[21], [22], [23]].”

    From Income disparity and utilization of cardiovascular preventive care services among U.S. adults (2021) · cites this paper as [22]

    The Results report more cardiovascular risk factors and worse outcomes among people living in lower-SES neighborhoods. The cited study measures neighborhood SES in a cohort with cardiovascular disease, not individuals’ own SES or the general population, so the unqualified claim is broader than its findings. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 28

  1. [1]Daniel H, Bornstein SS, Kane GC, Health and Public Policy Committee of the American College of Physicians. Addressing Social Determinants to Improve Patient Care and Promote Health Equity: An American College of Physicians Position Paper. Ann Intern Med 2018; 168: 577– 578. 29677265
  2. [2]Diez Roux AV and Mair C. Neighborhoods and health. Ann N Y Acad Sci 2010; 1186: 125– 145. 20201871
  3. [3]Diez Roux AV, Merkin SS, Arnett D, Chambless L, Massing M, Nieto FJ, Sorlie P, Szklo M, Tyroler HA and Watson RL. Neighborhood of residence and incidence of coronary heart disease. N Engl J Med 2001; 345: 99– 106. 11450679
  4. [4]Borrell LN, Diez Roux AV, Rose K, Catellier D, Clark BL and Atherosclerosis Risk in Communities Study. Neighbourhood characteristics and mortality in the Atherosclerosis Risk in Communities Study. Int J Epidemiol 2004; 33: 398– 407. 15082648
  5. [5]Coady SA, Johnson NJ, Hakes JK and Sorlie PD. Individual education, area income, and mortality and recurrence of myocardial infarction in a Medicare cohort: the National Longitudinal Mortality Study. BMC Public Health 2014; 14: 705. 25011538 PMC4227052
  6. [6]Howard VJ, McClure LA, Kleindorfer DO, Cunningham SA, Thrift AG, Diez Roux AV and Howard G. Neighborhood socioeconomic index and stroke incidence in a national cohort of blacks and whites. Neurology 2016; 87: 2340– 2347. 27742815 PMC5135020
  7. [7]Pollack CE, Slaughter ME, Griffin BA, Dubowitz T and Bird CE. Neighborhood socioeconomic status and coronary heart disease risk prediction in a nationally representative sample. Public Health 2012; 126: 827– 835. 23083844 PMC3488146
  8. [8]Stirbu I, Looman C, Nijhof GJ, Reulings PG and Mackenbach JP. Income inequalities in case death of ischaemic heart disease in the Netherlands: a national record-linked study. J Epidemiol Community Health 2012; 66: 1159– 1166. 22685304
  9. [9]Sundquist K, Malmstrom M and Johansson SE. Neighbourhood deprivation and incidence of coronary heart disease: a multilevel study of 2.6 million women and men in Sweden. J Epidemiol Community Health 2004; 58: 71– 77. 14684730 PMC1757024
  10. [10]Bikdeli B, Wayda B, Bao H, Ross JS, Xu X, Chaudhry SI, Spertus JA, Bernheim SM, Lindenauer PK and Krumholz HM. Place of residence and outcomes of patients with heart failure: analysis from the telemonitoring to improve heart failure outcomes trial. Circ Cardiovasc Qual Outcomes 2014; 7: 749– 756. 25074375 PMC5323058
  11. [11]Brown AF, Liang LJ, Vassar SD, Merkin SS, Longstreth WT Jr., Ovbiagele B, Yan T and Escarce JJ Neighborhood socioeconomic disadvantage and mortality after stroke. Neurology 2013; 80: 520– 527. 23284071 PMC3589286
  12. [12]Gerber Y, Benyamini Y, Goldbourt U, Drory Y and Israel Study Group on First Acute Myocardial I. Neighborhood socioeconomic context and long -term survival after myocardial infarction. Circulation 2010; 121: 375– 383. 20065165
  13. [13]Agarwal S, Garg A, Parashar A, Jaber WA and Menon V. Outcomes and resource utilization in ST-elevation myocardial infarction in the United States: evidence for socioeconomic disparities. J Am Heart Assoc 2014; 3: e001057. 25399775 PMC4338692
  14. [14]Rao SV, Kaul P, Newby LK, Lincoff AM, Hochman J, Harrington RA, Mark DB and Peterson ED. Poverty, process of care, and outcome in acute coronary syndromes. J Am Coll Cardiol 2003; 41: 1948– 1954. 12798563
  15. [15]Diez-Roux AV, Kiefe CI, Jacobs DR Jr., Haan M, Jackson SA, Nieto FJ, Paton CC and Schulz R Area characteristics and individual-level socioeconomic position indicators in three population-based epidemiologic studies. Ann Epidemiol 2001; 11: 395– 405. 11454499
  16. [17]Osypuk TL, Ehntholt A, Moon JR, Gilsanz P and Glymour MM. Neighborhood Differences in Post-Stroke Mortality. Circ Cardiovasc Qual Outcomes 2017; 10. PMC5328121 28228449
  17. [18]Rabi DM, Edwards AL, Svenson LW, Graham MM, Knudtson ML, Ghali WA and Alberta Provincial Project for Assessing Outcomes in Coronary Heart Disease I. Association of median household income with burden of coronary artery disease among individuals with diabetes. Circ Cardiovasc Qual Outcomes 2010; 3: 48– 53. 20123671
  18. [19]Subherwal S, Patel MR, Tang F, Smolderen KG, Jones WS, Tsai TT, Ting HH, Bhatt DL, Spertus JA and Chan PS. Socioeconomic disparities in the use of cardioprotective medications among patients with peripheral artery disease: an analysis of the American College of Cardiology’s NCDR PINNACLE Registry. J Am Coll Cardiol 2013; 62: 51– 57. 23643497 PMC3912073
  19. [20]Emdin CA, Hsiao AJ, Kiran A, Conrad N, Salimi-Khorshidi G, Woodward M, Anderson SG, Mohseni H, McMurray JJ, Cleland JG, Dargie H, Hardman S, McDonagh T and Rahimi K. Referral for Specialist Follow-up and Its Association With Post-discharge Mortality Among Patients With Systolic Heart Failure (from the National Heart Failure Audit for England and Wales). Am J Cardiol 2017; 119: 440– 444. 27884420 PMC5282396
  20. [21]Maddox TM, Chan PS, Spertus JA, Tang F, Jones P, Ho PM, Bradley SM, Tsai TT, Bhatt DL and Peterson PN. Variations in coronary artery disease secondary prevention prescriptions among outpatient cardiology practices: insights from the NCDR (National Cardiovascular Data Registry). J Am Coll Cardiol 2014; 63: 539– 546. 24184238 PMC3990248
  21. [23]Sundquist K, Theobald H, Yang M, Li X, Johansson SE and Sundquist J. Neighborhood violent crime and unemployment increase the risk of coronary heart disease: a multilevel study in an urban setting. Soc Sci Med 2006; 62: 2061– 2071. 16203075
  22. [24]Brook RD, Rajagopalan S, Pope CA 3rd, Brook JR, Bhatnagar A, Diez-Roux AV, Holguin F, Hong Y, Luepker RV, Mittleman MA, Peters A, Siscovick D, Smith SC Jr., Whitsel L, Kaufman JD, American Heart Association Council on E, Prevention CotKiCD, Council on Nutrition PA and Metabolism. Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the American Heart Association. Circulation 2010; 121: 2331– 2378. 20458016
  23. [25]Gan WQ, Tamburic L, Davies HW, Demers PA, Koehoorn M and Brauer M. Changes in residential proximity to road traffic and the risk of death from coronary heart disease. Epidemiology 2010; 21: 642– 649 20585255
  24. [26]Li S, Chiuve SE, Flint A, Pai JK, Forman JP, Hu FB, Willett WC, Mukamal KJ and Rimm EB. Better diet quality and decreased mortality among myocardial infarction survivors. JAMA Intern Med 2013; 173: 1808– 1818. 23999993 PMC3874045
  25. [27]Havranek EP, Mujahid MS, Barr DA, Blair IV, Cohen MS, Cruz-Flores S, Davey-Smith G, Dennison-Himmelfarb CR, Lauer MS, Lockwood DW, Rosal M, Yancy CW, American Heart Association Council on Quality of C, Outcomes Research CoE, Prevention CoC, Stroke Nursing CoL, Cardiometabolic H and Stroke C. Social Determinants of Risk and Outcomes for Cardiovascular Disease: A Scientific Statement From the American Heart Association. Circulation 2015; 132: 873– 898. 26240271
  26. [28]Gallagher R, Luttik ML and Jaarsma T. Social support and self-care in heart failure. J Cardiovasc Nurs 2011; 26: 439– 445. 21372734
  27. [29]Marcus AF, Echeverria SE, Holland BK, Abraido-Lanza AF and Passannante MR. How Neighborhood Poverty Structures Types and Levels of Social Integration. Am J Community Psychol 2015; 56: 134– 144. 26076667
  28. [30]Sampson RJ and Sharkey P. Neighborhood selection and the social reproduction of concentrated racial inequality. Demography 2008; 45: 1– 29. 18390289 PMC2831380

Cited by

Sorted by citations

Authors
Topel, M. L., Kim, J. H., Mujahid, M. S., Sullivan, S. M., Ko, Y.-A., Vaccarino, V., Quyyumi, A. A., & Lewis, T. T.
Affiliations
  • Emory University (US)
  • University of California, Berkeley (US)
Corresponding author
Topel, Matthew L.
Venue
The American Journal of Cardiology
Publisher
Elsevier BV
Published
2019-01
Volume
123
Issue
2
Pages
284-290
ISSN
0002-9149 (ISSN-L)
OpenAlex
W2896634370
Cited by
47
References
2
Citations by year
2026: 3 · 2025: 9 · 2024: 9 · 2023: 6 · 2022: 5 · 2021: 5 · 2020: 7 · 2019: 3
FWCI
4.02
Type
journal article
Language
en
Open access
Locations
  • The American Journal of Cardiology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • National Institutes of Health (T32 HL130225, HD085850)
  • American Heart Association (0000031288)
Topics
  • Social Sciences › Health › Health disparities and outcomes
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
Keywords
neighborhood socioeconomic status, cardiovascular disease, coronary artery disease, heart failure, old myocardial infarction, all-cause mortality, cardiovascular mortality, myocardial infarction, double jeopardy, social determinants of health
MeSH terms
Coronary Artery Disease, Female, Follow-Up Studies, Georgia, Heart Failure, Humans, Male, Middle Aged, Mortality, Myocardial Infarction, Residence Characteristics, Social Class, Cohort Studies, Proportional Hazards Models

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review