Hope and psychological health and well-being following spinal cord injury.
Bibliographic record
Abstract
OBJECTIVE: Several studies of people with spinal cord injury (SCI) have indicated that high levels of hope are linked with better adjustment, but none has assessed the extent to which hope predicts change in adjustment over time. This study examines the effect of hope assessed within the first months post-SCI onset on changes in several indicators of well-being just prior to release from institutional care and again 13 months post-SCI. METHOD: Structured interviews were conducted with 67 adults (54 men, 13 women; Mage = 44.7 years, SD = 17.2) with SCI on average 2.6 months (Time 1), 5 months (Time 2; n = 60), and 13 months post-SCI (Time 3; n = 53) using validated instruments to assess dispositional hope, depressive symptoms, subjective well-being, self-esteem, reintegration, and pain. RESULTS: Regression analyses revealed that, of the five indicators of well-being, hope at Time 1 only significantly predicted increases in subjective well-being at Time 2. However, hope predicted increased well-being on 4 of 5 indicators at Time 3. Hope was not significantly associated with changes in self-esteem at either follow-up assessment. CONCLUSION: People with high levels of hope appear to be better able to adjust to the challenges faced once they leave the rehabilitation center. Psycho-educational interventions that promote agency and pathway thinking may lead to better longer-term adjustment. (PsycINFO Database Record
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".