1030 BELIEFS ABOUT SLEEP IN PEOPLE WITH PSORIASIS: AN IN-DEPTH QUALITATIVE STUDY USING THE COMMON-SENSE MODEL OF SELF-REGULATION FRAMEWORK
Bibliographic record
Abstract
Psoriasis a common, complex, long-term inflammatory condition primarily affecting the skin, is associated with significant physical and psychological comorbidity. Sleep disturbance is frequently reported by people with psoriasis and is associated with pre-sleep arousal, itch and low mood. This is the first study to our knowledge that explores in-depth the beliefs people with psoriasis hold about sleep. We used the established Common-Sense Self-Regulation Model (CS-SRM) as a theoretical framework. Semi-structured interviews were conducted in a purposive sample of 9 people with psoriasis. The interviewer explored participants’ beliefs about their sleep (characteristics of sleep patterns; timeline; causes of good/poor sleep; consequences of poor sleep and beliefs about the curability/controllability of poor sleep) and coping strategies used. Data were analysed using principles of framework and thematic analysis. Five key themes emerged within the dimensions of the CS-SRM: 1) ‘Dissatisfaction with sleep’: reduced sleep quality and duration and difficulty initiating sleep; 2) ‘Sleep varies by perceptions of psoriasis’; sleep disturbance triggered by psoriasis symptoms, and sleep changes as a function of time since treatment; 3) ‘Heightened awareness of psoriasis at night’; symptom management and thoughts/worries about psoriasis contributing to sleep disturbance 4) ‘Sleep affecting multiple domains of life’; consequences of sleep disturbance on work, social and family life 5) ‘Perceived lack of control of sleep’: a constant battle for control over sleep, increased effort to sleep and resigned acceptance of poor sleep. Patients report strong links between sleep disturbance and psoriasis symptoms and management in a bi-directional manner that require further testing. The CS-SRM appears to be a valid theoretical model for assessing the beliefs about sleep in people with psoriasis. This work was supported by a grant from The Psoriasis Association of Great Britain and Northern Ireland (R117541)
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".