Assessment of the psychosocial predictors of health-related quality of life in a PTSD clinical sample.
Bibliographic record
Abstract
Although a wide array of the scientific literature explores the links between posttraumatic stress disorder (PTSD) symptoms, coping strategies, and social support and health-related quality of life (HRQoL) as an outcome variable, their connections remain unclear. It is unknown whether PTSD symptom severity, coping strategies, and social support explain each a unique portion of variance of HRQoL of individuals with PTSD. In the current study, based on pretreatment results of a broader study assessing a specific intervention for PTSD, 94 individuals with PTSD were screened for psychiatric disorders and completed several questionnaires concerning social support, coping strategies, PTSD symptoms, and HRQoL. Coping strategies, social support, and PTSD all appeared to be predictors of HRQoL; however, PTSD seemed to constitute the major predictor among these variables. Indeed, coping strategies and social support did not explain a unique share of variability of HRQoL beyond that of PTSD symptomatology. A causal pathway integrating these variables should be tested in future studies.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".