Flourishing After a Stroke: A Nationally Representative Portrait of Resilience and Mental Health Among Older Canadians
Bibliographic record
Abstract
Objectives: The objective of this study is to estimate the prevalence of, and factors associated with, complete mental health (CMH) among stroke survivors aged 50+ years. Method: Bivariate and logistic regression analyses of nationally representative data from the 2012 Canadian Community Health Survey–Mental Health of 11,157 older adults aged 50+ years (300 stroke survivors). CMH included all of these elements: (a) absence of any past-year mental illness (measured by the World Health Organization version of the Composite International Diagnostic Interview [WHO-CIDI] scales), (b) almost daily happiness or satisfaction, and (c) psychological and social well-being. Results: Two thirds of the stroke survivors (68%) were in CMH. Among stroke survivors, the odds of CMH were higher among those with at least one confidant (odds ratio [OR] = 4.34; 95% confidence interval [CI] = [1.52, 12.41]), those without disabling chronic pain (OR = 2.34; 95% CI = [1.24, 4.41]), and those without a history of childhood maltreatment (OR = 2.10; 95% CI = [1.09, 4.05]), depression (OR = 3.83; 95% CI = [1.10, 13.37]), or generalized anxiety disorders (OR = 3.42; 95% CI = [1.19, 9.79]). Discussion: These findings provide encouraging information for stroke survivors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".