Sex Differences in Depressive Symptoms in 1308 Patients Post-Stroke at Entry to Cardiac Rehabilitation
Bibliographic record
Abstract
PURPOSE: The objective of this study was to determine whether a sex difference exists in the prevalence of post-stroke depressive symptoms (PSDS) at entry to cardiac rehabilitation (CR) and to determine the correlates of PSDS in all patients, and in women and men separately. METHODS: People post-stroke at entry to CR from database records (2006-2017) were included. Bivariate analyses identified PSDS correlates (≥16 on the Center for Epidemiologic Studies Depression Scale) in all patients and women and men separately. RESULTS: Patients (n = 1308, 28.9% women), mean age of 63.9 ± 12.9 yr, were 24.2 ± 9.9 mo post-stroke at CR entry. Among all patients, 30.0% had PSDS. A greater proportion of women than men had PSDS (38.6 vs 26.6%; P < .001). Correlates of PSDS in all patients were sex (women) (OR = 1.6: 95% CI, 1.14-2.12), being unemployed, ≤60 yr old, prescribed antidepressant medication, having lower cardiorespiratory fitness (peak oxygen uptake [V̇ o2peak ]), chronic obstructive pulmonary disease (COPD), higher body mass index (BMI), no transient ischemic attack, and longer time from stroke to CR entry (>12 mo). Correlates in women were being obese (BMI ≥ 30), 51-70 yr old, prescribed antidepressant medication, and not married. Correlates in men were being ≤60 yr old, unemployed, prescribed antidepressant medication, having lower V̇ o2peak , sleep apnea, COPD, and no hypertension. CONCLUSION: Women were disproportionately affected by PSDS at entry to CR in bivariate and multivariable analyses. Women and men had mostly unique correlates of PSDS, indicating tailored strategies to address PSDS are required. PSDS disproportionately affected patients with longer delay to CR entry, suggesting efforts should target timely referral to facilitate earlier and repeated assessments and management.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".