PsychoMSS Study: Stress and Psychosocial Factors in Multiple Sclerosis
Bibliographic record
Abstract
The stress effect on Multiple Sclerosis (MS) has yielded disparate results. One reason may be the heterogeneity in the stress measure and the presence of potential moderators/mediators. Aims: to analyse the stress effect on MS under a transactional approach and to elucidate the role of coping, social support, anxiety, alexithymia and early-life stress in this relationship. Methods: the study consisted in three phases: a systematic review, a case-control study (n= 82), and a longitudinal one year follow-up study (n=26). Linear and Multiple Hierarchical models were conducted. Results: people with MS (pwMS) showed more passive coping, less perceived social support and greater anxiety and alexithymia. The bidirectional hypothesis was confirmed with self-reported stress and functionality. Coping and anxiety showed a moderator effect. Conclusions: stress and MS may follow a deteriorating cycle. Psychotherapeutic interventions should be conducted in early stages of MS to improve functionality and quality of life in pwMS.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".