Evidence map›Paper›PMID 33910941›Full record

ArticleNeurology2021

Association of Neighborhood Socioeconomic Status With Outcomes in Patients Surviving Stroke.

Eric L Stulberg, Erica Twardzik, Sehee Kim, Chia-Wei Hsu, Yuliang Xu, Philippa Clarke, Lewis B Morgenstern, Lynda D Lisabeth

Abstract read
In one paragraph

Article in Neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

  1. Article
  2. Housing and Stroke Outcomes: Why Aging in Place Needs to Be Equitable.International journal of environmental research and public health · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Hospital Socioeconomic Status and Acute Stroke Treatment in the United States.Cerebrovascular diseases (Basel, Switzerland) · 2026
    Article
  7. Access to neighborhood destinations that offer opportunities for physical activity and socialization is associated with favorable post-stroke outcomes.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Neighborhood socio-demographic profile associated with adequate transitions of stroke care: The transitions of care stroke disparities study.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2025
    Observational
  12. Article
  13. Review
  14. Article
  15. The association between social networks and functional recovery after stroke.International journal of stroke : official journal of the International Stroke Society · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Eric L StulbergFrom the Department of Neurology (E.L.S.), University of Utah School of Medicine, Salt Lake City; and Departments of Epidemiology (E.L.S., E.T., C.-W.H., P.C., L.B.M., L.D.L.) and Biostatistics (S.K., Y.X.), School of Public Health, School of Kinesiology (E.T.), Institute for Social Research (P.C.), and Department of Neurology (L.B.M., L.D.L.), Michigan Medicine, University of Michigan, Ann Arbor.
Erica TwardzikFrom the Department of Neurology (E.L.S.), University of Utah School of Medicine, Salt Lake City; and Departments of Epidemiology (E.L.S., E.T., C.-W.H., P.C., L.B.M., L.D.L.) and Biostatistics (S.K., Y.X.), School of Public Health, School of Kinesiology (E.T.), Institute for Social Research (P.C.), and Department of Neurology (L.B.M., L.D.L.), Michigan Medicine, University of Michigan, Ann Arbor.ORCID 0000-0002-3514-2610
Sehee KimFrom the Department of Neurology (E.L.S.), University of Utah School of Medicine, Salt Lake City; and Departments of Epidemiology (E.L.S., E.T., C.-W.H., P.C., L.B.M., L.D.L.) and Biostatistics (S.K., Y.X.), School of Public Health, School of Kinesiology (E.T.), Institute for Social Research (P.C.), and Department of Neurology (L.B.M., L.D.L.), Michigan Medicine, University of Michigan, Ann Arbor.
Chia-Wei HsuFrom the Department of Neurology (E.L.S.), University of Utah School of Medicine, Salt Lake City; and Departments of Epidemiology (E.L.S., E.T., C.-W.H., P.C., L.B.M., L.D.L.) and Biostatistics (S.K., Y.X.), School of Public Health, School of Kinesiology (E.T.), Institute for Social Research (P.C.), and Department of Neurology (L.B.M., L.D.L.), Michigan Medicine, University of Michigan, Ann Arbor.
Yuliang XuFrom the Department of Neurology (E.L.S.), University of Utah School of Medicine, Salt Lake City; and Departments of Epidemiology (E.L.S., E.T., C.-W.H., P.C., L.B.M., L.D.L.) and Biostatistics (S.K., Y.X.), School of Public Health, School of Kinesiology (E.T.), Institute for Social Research (P.C.), and Department of Neurology (L.B.M., L.D.L.), Michigan Medicine, University of Michigan, Ann Arbor.
Philippa ClarkeFrom the Department of Neurology (E.L.S.), University of Utah School of Medicine, Salt Lake City; and Departments of Epidemiology (E.L.S., E.T., C.-W.H., P.C., L.B.M., L.D.L.) and Biostatistics (S.K., Y.X.), School of Public Health, School of Kinesiology (E.T.), Institute for Social Research (P.C.), and Department of Neurology (L.B.M., L.D.L.), Michigan Medicine, University of Michigan, Ann Arbor.
Lewis B MorgensternFrom the Department of Neurology (E.L.S.), University of Utah School of Medicine, Salt Lake City; and Departments of Epidemiology (E.L.S., E.T., C.-W.H., P.C., L.B.M., L.D.L.) and Biostatistics (S.K., Y.X.), School of Public Health, School of Kinesiology (E.T.), Institute for Social Research (P.C.), and Department of Neurology (L.B.M., L.D.L.), Michigan Medicine, University of Michigan, Ann Arbor.
Lynda D LisabethFrom the Department of Neurology (E.L.S.), University of Utah School of Medicine, Salt Lake City; and Departments of Epidemiology (E.L.S., E.T., C.-W.H., P.C., L.B.M., L.D.L.) and Biostatistics (S.K., Y.X.), School of Public Health, School of Kinesiology (E.T.), Institute for Social Research (P.C.), and Department of Neurology (L.B.M., L.D.L.), Michigan Medicine, University of Michigan, Ann Arbor. llisabet@umich.edu.ORCID 0000-0001-5539-5933

Funding

STROKE SURVEILLANCE IN A BIETHNIC COMMUNITYR01NS038916 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LISABETH, LYNDA D, MORGENSTERN, LEWIS B · 1999 to 2023
$20.9M
Sleep apnea health disparities in Mexican American stroke patientsR01NS070941 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROWN, DEVIN L, LISABETH, LYNDA D · 2011 to 2015
$2.6M
The epidemiology of sleep apnea in a bi-ethnic stroke populationR01HL098065 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROWN, DEVIN L, LISABETH, LYNDA D · 2010 to 2013
$1.5M
Utah Stimulating Access to Research in Residency Transition Scholar (StARRTS)R38HL143605 · NHLBI · UNIVERSITY OF UTAH · PI CONROY, MARGARET B, OKUYEMI, KOLAWOLE S · 2018 to 2021
$1.3M
Outdoor Environmental Facilitators and Barriers of Stroke Survivors’ Mobility and Functional StatusF31HD098870 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TWARDZIK, ERICA · 2019 to 2020
$74k
NHLBI NIH HHS R01 HL098065NHLBI NIH HHS R38 HL143605NICHD NIH HHS F31 HD098870NINDS NIH HHS R01 NS038916NINDS NIH HHS R01 NS070941
6 · The paper itself

Abstract

objectiveTo examine associations between neighborhood socioeconomic status (nSES) and 90-day poststroke outcomes.

methodsThe Brain Attack Surveillance in Corpus Christi Project is a population-based surveillance study in Nueces County, Texas. Patients with strokes were identified between 2010 and 2016 via active and passive surveillance and enrolled in the study. nSES index is a standardized composite of 2010 Census tract-level income, wealth, education, and employment (median -4.56, interquartile range -7.48 to -0.46). The 90-day outcomes were ascertained via interview: functional status measured by the average of 22 activities of daily living/instrumental activities of daily living (range 1-4), biopsychosocial health by the Stroke-Specific Quality of Life scale (range 0-5), and depressive symptoms by the 8-item Patient Health Questionnaire (range 0-24). Associations between nSES and outcomes were estimated using confounder-adjusted generalized estimating equations with an nSES × NIH Stroke Scale score interaction term.

resultsSeven hundred seventy-six survivors made up the analytical sample (52.96% male, 62.24% Mexican American, 52.96% ≥64 years old). Higher compared to lower nSES (mean difference comparing 75th to 25th percentile of nSES) was associated with better function (-0.27, 95% confidence interval [CI] -0.49 to -0.05), better biopsychosocial health (0.26, 95% CI 0.06-0.47), and fewer depressive symptoms (-1.77, 95% CI -3.306 to -0.48) among those with moderate to severe strokes. Among those with minor strokes, higher nSES was associated with better function (-0.13, 95% CI -0.24 to -0.02).

conclusionsnSES may influence poststroke recovery. Studies should identify neighborhood characteristics that contribute to poststroke outcomes, particularly in moderate to severe stroke survivors.

Indexed as

Recovery of FunctionResidence CharacteristicsSocioeconomic FactorsStrokeAgedFemaleHumansMaleMiddle AgedRisk FactorsSocial ClassSurvivors

Identifiers

PMID33910941
PMCPMC8205453

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