Abstract P222: Psychological Recovery After Aneurysmal Subarachnoid Haemorrhage: The Role of Post-Traumatic Growth and Self-Compassion
Bibliographic record
Abstract
Aneurysmal subarachnoid haemorrhage (aSAH), a subset of haemorrhagic stroke, is a potentially fatal condition with a mortality rate of approximately 50%. Of those that survive, some 60% will experience ongoing disability and impairment. Forty per cent of remaining survivors will experience what is deemed as a good neurological recovery. Despite good recovery, people have been found to experience negative psychosocial outcomes such as high levels of post-traumatic stress symptoms (PTSS), depression and reduced levels of overall well-being. As a result, aSAH has been viewed as a traumatic life experience with the potential for ongoing psychological sequelae. More recently the literature has identified that traumatic experiences can also elicit an opportunity for growth. Post-traumatic growth (PTG) states that for some people, the experience of trauma may also result in positive psychological gains. PTG has previously been investigated as an outcome after natural disasters and in a range of medical conditions; however, no studies have investigated PTG after an aSAH. A recent study identified that PTG may play a psychologically buffering role after a diagnosis of breast cancer. It is possible that PTG may also play a protective role in recovery after an aSAH; however, this has not been investigated. This study comprised N = 251 adults who had experienced an aSAH, and were recruited from Australia, U.K., U.S.A., New Zealand, and Canada. This study examined whether people who have survived an aSAH experience PTG; if predictors including self-compassion (SC) and social support (SS) influence the development of PTG after an aSAH; and if PTG moderates the relationship between PTSS, and depression and subjective well-being. Regression analyses were utilised to analyse the data. Results showed that people experience PTG after an aSAH; SC predicted PTG; PTG was not found to moderate the relationship between PTSS and either Depression or SWB domains. Supplementary analyses were conducted with SC not a significant moderator between PTSS and either depression or SWB domains. However, SC was found to mediate the relationship between PTSS and Depression and PTSS and SWB domains.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".