Lifetime and Acute Stress Predict Functional Outcomes Following Stroke: Findings From the Longitudinal STRONG Study
Bibliographic record
Abstract
BACKGROUND: Stroke is a sudden-onset, uncontrollable event; stroke-related stress may impede rehabilitation and recovery. Lifetime stress may sensitize patients to experiencing greater stroke-related stress and indirectly affect outcomes. We examine lifetime stress as predictor of poststroke acute stress and examine lifetime and acute stress as predictors of 3- and 12-month functional status. We also compare acute stress and baseline National Institutes of Health Stroke Scale as predictors of poststroke functional status. METHODS: Between 2016 and 2020 the STRONG Study (Stroke, Stress, Rehabilitation, and Genetics) enrolled adults with new radiologically confirmed stroke 2 to 10 days poststroke onset at 28 acute care US hospitals. Participants were interviewed 3 times: acute admission (acute stress; Acute Stress Disorder Interview), 3 months (Fugl-Meyer Upper Extremity motor impairment [Fugl-Meyer Upper Arm Assessment; N=431], modified Rankin Scale [3 months; N=542], Stroke Impact Scale-Activities of Daily Living [3 months; N=511], Lifetime Stress Exposure Inventory), and 12 months (modified Rankin Scale, N=533; Stroke Impact Scale 3.0 Activities of Daily Living; N=485; Telephone Montreal Cognitive Assessment; N=484) poststroke. Structural equation models examined whether acute stress predicted 3- and 12-month functional outcomes, and mediated an association between lifetime stress and outcomes controlling for demographics and initial National Institutes of Health Stroke Scale. Standardized betas are reported. RESULTS: =0.008) less strongly than baseline National Institutes of Health Stroke Scale. CONCLUSIONS: Lifetime stress/trauma is associated with more poststroke acute stress, which is associated with greater motor and cognitive impairment and disability 3 and 12 months poststroke. Poststroke interventions for acute stress may help mitigate stroke-related disability.
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 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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".