Cited by 58Stroke Rehabilitation and RecoveryAcute Ischemic Stroke ManagementDementia and Cognitive Impairment Research

Cognitive ability, education and socioeconomic status in childhood and risk of post-stroke depression in later life: A systematic review and meta-analysis

Open access
Backhouse, Ellen V., McHutchison, Caroline A., Cvoro, Vera, Shenkin, Susan D., Wardlaw, Joanna M.·2018·PLOS ONE

Abstract

BACKGROUND: Depression after stroke is common and is associated with poorer recovery. Risk factors such as gender, age and stroke severity are established, but it is unclear whether factors from earlier in life might also contribute. METHODS: We searched MEDLINE, PsycINFO, EMBASE and meta-analysed all available evidence on childhood (premorbid) IQ, socioeconomic status (SES), education and stroke in adulthood. We included all studies reporting data on >50 patients, calculating overall odds ratios (OR), mean difference, correlation, 95% confidence intervals (CI) and 95% predictive intervals (PI) using random effects methods. We quality assessed all studies, performed sensitivity analyses, assessed heterogeneity and publication bias. RESULTS: We identified 33 studies including 2,664 participants with post-stroke depression and 5,460 without (314 participants not classified). Low education (< = 8 years) was associated with post-stroke depression in studies which defined depression as score of mild and above on a depression rating scale (OR 1.47 95% CI 1.10-1.97, p<0.01) but not in studies where depression was defined as severe depressive symptoms or a clinical diagnosis of major depression (OR 1.04 95% CI 0.90-1.31, p = 0.60). Low education was not associated with an increased risk for post-stroke depression in studies that adjusted for age and sex (OR 0.86 95% CI 0.50-1.48 p = 0.58). Those with post-stroke depression had fewer years of education than those without post-stroke depression (MD 0.68 95% CI 0.05-1.31 p = 0.04). Few studies adjusted for vascular risk factors or stroke severity. Heterogeneity between studies was moderate and was partly explained by severity of depression. In the one study identified premorbid IQ did not differ between those with post-stroke depression (mean IQ 10.1.8 SD 9.8) vs those without (mean IQ 104 SD 10.1). There were no studies that examined childhood socioeconomic status and risk of post-stroke depression. CONCLUSIONS: Having less education is associated with an increased risk of post-stroke depressive symptoms but with large confidence intervals and heterogeneity. Future studies should explore the relationship between early and late life risk factors to improve risk identification and to target prevention and treatment strategies.

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 · 10.1371/journal.pone.0200525

Cites

52 of 52 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?

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

1 of the 53 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Backhouse, E. V., McHutchison, C. A., Cvoro, V., Shenkin, S. D., & Wardlaw, J. M.
Affiliations
  • University of Edinburgh (GB)
  • UK Dementia Research Institute (GB)
Corresponding author
  • Backhouse, Ellen V.
  • McHutchison, Caroline A.
  • Cvoro, Vera
  • Shenkin, Susan D.
  • Wardlaw, Joanna M.
Venue
PLOS ONE
Published
2018-07-16
Volume
13
Issue
7
Pages
e0200525
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2883057433
Cited by
58
References
53
Citations by year
2026: 2 · 2025: 8 · 2024: 9 · 2023: 7 · 2022: 8 · 2021: 12 · 2020: 8 · 2019: 4
FWCI
0.75
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
Funders
  • Dr. Mortimer and Theresa Sackler Foundation
  • Chest, Heart and Stroke Association Scotland (R14/A157)
  • Horizon 2020 Framework Programme (666881)
  • NHS Research Scotland
  • Fondation Leducq (16 CVD 05)
Topics
  • Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
  • Health Sciences › Medicine › Epidemiology › Acute Ischemic Stroke Management
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Keywords
post-stroke depression, stroke, educational attainment, socioeconomic status, premorbid intelligence, children's cognitive abilities, risk factors for depression, depressive symptoms, stroke severity, vascular risk factors, mental health in later life, child IQ
MeSH terms
Child, Child Development, Child, Preschool, Cognition, Depression, Female, Humans, Male, Sex Factors, Socioeconomic Factors, Stroke

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