Abstract 10596: Telephone-Based Stress Management in Women with Myocardial Infarction: Findings from the Go Red for Women Strategically Focused Research Network
Bibliographic record
Abstract
Introduction: Elevated perceived stress is associated with adverse outcomes following myocardial infarction (MI) and accounts in part for poorer recovery in women compared with men. The goal of this multicenter randomized controlled trial was to assess efficacy of a telephone-based stress management program on perceived stress, depressive symptoms, anxiety and quality of life (QOL) among women with MI. Methods: Women with elevated stress levels (Perceived Stress Scale [PSS-4]≥6) at least 2 months after MI were enrolled from 12 hospitals in the U.S. and Canada participating in the NYU Women’s Heart Attack Research Program (HARP). Participants were randomized in 12 cohorts to stress management (mindfulness-based cognitive therapy adapted for telephone; MBCT-T) or enhanced usual care (EUC; heart disease education) and followed for 6 months. Both programs were delivered by phone in 8 weekly sessions (group and individual, respectively). Linear mixed effects models were used to test between-group differences in PSS-10 scores (primary outcome), depressive symptoms (PHQ-9), anxiety (Hospital Anxiety and Depression Scale) and QOL (Seattle Angina Questionnaire, PROMIS-Global) at 6 months. Results: The sample included 130 women with elevated stress at ≥2 months from MI (age 59.8±12.8 years, 33.8% racial/ethnic minorities, 26.2% with MI with non-obstructive coronary arteries [MINOCA]). Mean baseline PSS-10 scores were similar (18.2±5.2 MBCT-T vs. 18.3±5.6 EUC). The median number of sessions completed was 7 (IQR 3,8) for MBCT-T and 8 (IQR 6,8) for EUC. The 6-month retention rates were 82.1% (MBCT-T) and 82.5% (EUC). Perceived stress and anxiety declined in the EUC arm (p<.05) and anxiety and depressive symptoms declined in the MBCT-T arm (p<.01) but there were no significant group by time interactions. We will report results of sensitivity analyses that explore predictors of treatment response (e.g., age, race/ethnicity, clinical history, baseline psychosocial factors, intervention adherence, satisfaction). Conclusions: Stress management did not improve perceived stress or secondary outcomes more than enhanced usual care. Identifying predictors of treatment response will inform future studies of psychosocial interventions for women with MI.
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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 | 0.003 | 0.006 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".