S1403 Improving Sleep Health in Adults With Inflammatory Bowel Disease: A Call for Action
Bibliographic record
Abstract
Introduction: Poor sleep quality is highly prevalent among individuals with inflammatory bowel disease (IBD) and is associated with worse IBD outcomes. This issue is multifactorial, but little is known about how patients with IBD manage sleep. The aim of this study was to describe current and desired sleep self-management strategies among adults with IBD. Methods: In this IRB approved study, adults aged 18 to 59 with IBD were recruited from a single tertiary care IBD center via the patient portal starting in December 2022. We collected demographic characteristics, clinical disease activity (Manitoba IBD Index: active disease = symptoms from constant to occasionally active), and Pittsburgh Sleep Quality Index (> 5 is poor sleep). Participants' current and desired self-management sleep strategies were elicited using a structured questionnaire supplemented by an open-ended question. We then performed descriptive statistical and content analysis. Results: Among 75 adults with IBD [Mean age = 41.3 years (SD = 10.3), 51 (68%) female, and 72 (96%) White], most participants had Crohn’s disease (N = 48, 64%). Most surveyed patients (68%, N=51) had active disease. Poor sleep health was highly prevalent in our sample (N = 63, 84%), without a statistically significant difference between those with poor/good sleep health and active/inactive disease (P =0.32). Over half (N= 41, 55%) believed IBD worsened their sleep, and nearly half reported taking over the counter or prescription sleep medication within the last month (N = 37, 49% Participants used bedtime routines, reading, caffeine reduction, and exercise to help them sleep. A quarter of participants (N = 18, 24%) reported that they had never been asked about their sleep by a healthcare provider. The majority of subjects (N = 62, 83%) were interested in behavioral sleep interventions with components that included relaxation (N = 61, 81%), mindfulness (N = 58, 77%), and music (N = 53, 71%). Participants preferred receiving interventions 1-on-1 (N = 60, 80%) or via an app/website (N = 57, 76%). Nearly half (N = 34, 45%) were interested in sleep medications. Conclusion: Poor sleep quality is highly prevalent in adults with IBD who adopt various self-management sleep strategies. These results highlight the need to develop and test evidence-based sleep health interventions for IBD patients. Sleep quality should be part of an assessment of health in IBD patients, along with resources for improvement.
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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 | 0.017 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.016 | 0.020 |
| Insufficient payload (model declined to judge) | 0.027 | 0.012 |
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".