Evidence map›Paper›PMID 18436891›Full record

ArticleStroke2008

Stroke disparities in older Americans: is wealth a more powerful indicator of risk than income and education?

Mauricio Avendano, M Maria Glymour

Open access · greenAbstract read
In one paragraph

Article in Stroke, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
3.8field-weighted citation impact, top 7% of its field
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

44 citing papers in PubMed, 102 citations in OpenAlex.

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  15. Association between socioeconomic status and incident stroke in China.Journal of epidemiology and community health · 2020
    Article
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  17. Incidence of dementia after age 90 in a multiracial cohort.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2019
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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

2 authors at 2 institutions in 2 countries.

Mauricio AvendanoDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, The Netherlands. m.avendanopabon@erasmusmc.nl
M Maria Glymour
Harvard University · USNational Institute for Public Health and the Environment · NL

Funding

Causal Effects of Education on Elder Cognitive DeclineR01AG023399 · NIA · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI BERKMAN, LISA F · 2003 to 2005
$655k
NIA NIH HHS AG023399NIA NIH HHS R01 AG023399
6 · The paper itself

Abstract

background and purposeThis study examines the independent effect of wealth, income, and education on stroke and how these disparities evolve throughout middle and old age in a representative cohort of older Americans.

methodsStroke-free participants in the Health and Retirement Study (n=19,565) were followed for an average of 8.5 years. Total wealth, income, and education assessed at baseline were used in Cox proportional hazards models to predict time to stroke. Separate models were estimated for 3 age-strata (50 to 64, 65 to 74, and >or=75), and incorporating risk factor measures (smoking, physical activity, body mass index, hypertension, diabetes, and heart disease).

results1542 subjects developed incident stroke. Higher education predicted reduced stroke risk at ages 50 to 64, but not after adjustment for wealth and income. Wealth and income were independent risk factors for stroke at ages 50 to 64. Adjusted hazard ratios comparing the lowest decile with the 75th-90th percentiles were 2.3 (95% CI 1.6, 3.4) for wealth and 1.8 (95% CI 1.3, 2.6) for income. Risk factor adjustment attenuated these effects by 30% to 50%, but coefficients for both wealth (HR=1.7, 95% CI 1.2, 2.5) and income (HR=1.6, 95% CI 1.2, 2.3) remained significant. Wealth, income, and education did not consistently predict stroke beyond age 65.

conclusionsWealth and income are independent predictors of stroke at ages 50 to 64 but do not predict stroke among the elderly. This age patterning might reflect buffering of the negative effect of low socioeconomic status by improved access to social and health care programs at old ages, but may also be an artifact of selective survival.

Indexed as

AgedAge DistributionAge FactorsCohort StudiesEducational StatusFemaleHumansIncidenceIncomeLife StyleLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRisk FactorsSocioeconomic Factors

Identifiers

PMID18436891
PMCPMC3079499
OpenAlexW2148941614

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.