Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 171

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Socioeconomic Status and Stroke Incidence in the US Elderly: The Role of Risk Factors in the EPESE Study

Open access
Avendano, Mauricio, Kawachi, Ichiro, Van Lenthe, Frank, Boshuizen, Hendriek C., Mackenbach, Johan P., Van den Bos, G.A.M., Fay, Martha E., Berkman, Lisa F.·2006·Stroke

Abstract

Background and Purpose— This study assesses the effect of socioeconomic status on stroke incidence in the elderly, and the contribution of risk factors to stroke disparities. Methods— Data comprised a sample of 2812 men and women aged 65 years and over from the New Haven cohort of the Established Populations for the Epidemiologic Studies of the Elderly. Individuals provided baseline information on demographics, functioning, cardiovascular and psychosocial risk factors in 1982 and were followed for 12 years. Proportional hazard models were used to model survival from initial interview to first fatal or nonfatal stroke. Results— Two hundred and seventy subjects developed incident stroke. At ages 65 to 74, lower socioeconomic status was associated with higher stroke incidence for both education (HR lowest/highest =2.07, 95% CI, 1.04 to 4.13) and income (HR lowest/highest =2.08, 95% CI, 1.01 to 4.27). Adjustment for race, diabetes, depression, social networks and functioning attenuated hazard ratios to a nonsignificant level, whereas other risk factors did not change associations significantly. Beyond age 75, however, stroke rates were higher among those with the highest education (HR lowest/highest =0.42, 95% CI, 0.22 to 0.79) and income (HR lowest/highest =0.43, 95% CI, 0.22 to 0.86), which remained largely unchanged after adjustment for risk factors. Conclusions— We observed substantial socioeconomic disparities in stroke at ages 65 to 74, whereas a crossover of the association occurred beyond age 75. Policies to improve social and economic resources at early old age, and interventions to improve diabetes management, depression, social networks and functioning in the disadvantaged elderly can contribute to reduce stroke disparities.

Overview

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 · 10.1161/01.str.0000221702.75002.66

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

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

Self-check

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

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

Citations

Cited by

See all 171

Metadata

Authors
Avendano, M., Kawachi, I., Van Lenthe, F., Boshuizen, H. C., Mackenbach, J. P., Van den Bos, G. A. M., Fay, M. E., & Berkman, L. F.
Venue
Stroke
Published
2006-06
Volume
37
Issue
6
Pages
1368-1373
ISSN
  • 0039-2499 (ISSN-L)
  • 1524-4628
OpenAlex
W2009395073
Cited by
171
References
2
FWCI
8.52
Type
journal article
Language
en
Open access
bronze

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Socioeconomic Status and Stroke Incidence in the US Elderly: The Role of Risk Factors in the EPESE Study. https://app.cochat.ai/papers/10.1161/01.str.0000221702.75002.66
The paper
Avendano, M., Kawachi, I., Van Lenthe, F., Boshuizen, H. C., Mackenbach, J. P., Van den Bos, G. A. M., Fay, M. E., & Berkman, L. F. (2006). Socioeconomic Status and Stroke Incidence in the US Elderly: The Role of Risk Factors in the EPESE Study. Stroke. https://doi.org/10.1161/01.str.0000221702.75002.66

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.