0383 Common Pathways Between Distress and Impairment Related to Insomnia, Pain, and Stress
Bibliographic record
Abstract
Abstract Introduction Insomnia, chronic pain, and stress are highly comorbid, contributing to significant distress and impairment. Research on measures of insomnia, such as the Insomnia Severity Index, have revealed a two-factor structure consisting of both severity of insomnia symptoms and perceived distress and impairment. Prior research suggests that this perceived distress and impairment factor may represent a cognitive vulnerability that may impact other domains, including experiences of pain and stress. Pain catastrophizing, “a negative cognitive–affective response to anticipated or actual pain” and sleep reactivity, a trait-like degree to which stress exposure disrupts sleep, are both constructs that tap into similar elements of perceived distress and impairment. This study aimed to examine associations between perceived distress and impairment from insomnia, pain catastrophizing, pain interference, and sleep reactivity. Methods Participants from an online database were asked to complete the Insomnia Severity Index (ISI), Pain Catastrophizing Scale, McGill Pain Questionnaire, PROMIS Pain Interference Questionnaire, and the Ford Insomnia Response to Stress Test. Participants (n =398) were predominantly female (79%) and White (74%). The ISI was analyzed as two separate factors (i.e., F1 or the insomnia symptoms factor = items 1-3 and F2 or the insomnia-related impairment factor = items 4-7). Results Multiple adjusted regressions revealed that perceived insomnia distress and impairment (i.e., F2) was significantly related to pain catastrophizing (t = 2.18, p = .03) and pain interference (t = 3.55, p <.001), independent of insomnia and pain severity. Sleep reactivity was also significantly related to pain catastrophizing (t = 3.71, p > .001), even after adjusting for insomnia and pain severity. Conclusion Results suggest that the perceived distress and impairment resulting from insomnia, pain, and stressful events may represent a transdiagnostic vulnerability. Future research is needed to determine whether this pattern of distress and impairment extends to objective measures, such as actigraphy. This pattern of perceived distress and impairment could represent a viable intervention target. Support (if any)
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".