Evidence map›Paper›PMID 30244216›Full record

ArticleBMJ open2018

Education, sex and risk of stroke: a prospective cohort study in New South Wales, Australia.

Caroline A Jackson, Cathie L M Sudlow, Gita D Mishra

Abstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
  4. Autonomous Self-Evolving Research on Biomedical Data: The DREAM Paradigm.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Eating Behaviors, Lifestyle, and Ischemic Stroke: A Lebanese Case-Control Study.International journal of environmental research and public health · 2023
    Review
  17. Article
  18. Observational
  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

3 authors.

Caroline A JacksonInstitute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-2067-2811
Cathie L M SudlowInstitute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Gita D MishraSchool of Public Health, University of Queensland, Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine whether the association between highest educational attainment and stroke differed by sex and age; and whether potential mediators of observed associations differ by sex.

designProspective cohort study.

settingPopulation based, New South Wales, Australia.

participants253 657 stroke-free participants from the New South Wales 45 and Up Study. OUTCOME MEASURES: First-ever stroke events, identified through linkage to hospital and mortality records.

resultsDuring mean follow-up of 4.7 years, 2031 and 1528 strokes occurred among men and women, respectively. Age-standardised stroke rate was inversely associated with education level, with the absolute risk difference between the lowest and highest education group greater among women than men. In relative terms, stroke risk was slightly more pronounced in women than men when comparing low versus high education (age-adjusted HRs: 1.41, 95% CI 1.16 to 1.71 and 1.25, 95% CI 1.07 to 1.46, respectively), but there was no clear evidence of statistical interaction. This association persisted into older age, but attenuated. Much of the increased stroke risk was explained by modifiable lifestyle factors, in both men and women.

conclusionLow education is associated with increased stroke risk in men and women, and may be marginally steeper in women than men. This disadvantage attenuates but persists into older age, particularly for women. Modifiable risk factors account for much of the excess risk from low education level. Public health policy and governmental decision-making should reflect the importance of education, for both men and women, for positive health throughout the life course.

Indexed as

Educational StatusSex FactorsStrokeAgedCohort StudiesFemaleHumansMaleMiddle AgedNeeds AssessmentNew South WalesProspective StudiesPublic HealthRisk FactorsSocioeconomic Factorscohort studydata linkageeducationsocioeconomic disparitiesstroke

Identifiers

PMID30244216
PMCPMC6157561

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.