Associations between actigraphic and self-reported sleep and mental health in adolescents and young adults with cystic fibrosis
Bibliographic record
Abstract
OBJECTIVE: To compare sleep and mental health outcomes in adolescents and young adults (AYA) with cystic fibrosis (CF) and healthy controls and to explore associations between sleep and mental health in CF. METHODS: In this cross-sectional study AYA with CF and healthy AYA aged 14-25 years completed 7 days/nights of actigraphy, the Pittsburgh Sleep Quality Index, PROMIS-Sleep Disturbance scale, PROMIS-Sleep-Related Impairment scale, State Trait Anxiety Inventory, and Center for Epidemiologic Studies Depression scale. For participants with CF, disease characteristics were collected from the Canadian Cystic Fibrosis Registry. Linear regression models were used to determine differences between groups and to examine associations between sleep and mental health outcomes. RESULTS: Eighty-six participants, 45 with CF (median age = 19 years, IQR = 6 years, 51.1% female, 82.2% on elexacaftor/tezacaftor/ivacaftor, ETI) and 41 healthy comparator participants (median age = 16 years, IQR = 4 years, 53.7% female) participated. No significant differences were found between groups in actigraphically measured sleep, self-reported sleep, or anxiety or depression symptoms. In participants with CF, poorer self-reported sleep quality was significantly associated with greater anxiety (p < .001) and depression symptoms (p < .001), but actigraphically measured sleep was not. CONCLUSIONS: AYA with CF had comparable sleep, anxiety, and depression outcomes as their healthy peers. Only self-reported sleep had a significant relationship with mental health symptoms. These findings stress the importance of concurrent assessment of sleep and mental health in the clinical setting and may inform future longitudinal research. Better understanding relationships between sleep and mental health in AYA with CF could have a significant impact on well-being and quality of life.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".