Sleep Disturbances in Survivors of Pediatric Acute Lymphoblastic Leukemia and Their Siblings
Bibliographic record
Abstract
OBJECTIVE: Sleep disturbances have been identified by patients with cancer as common and distressing; however, conflicting evidence about the prevalence of these outcomes exists for survivors of childhood cancers. Additionally, little is known about how the experience of cancer might impact survivor siblings' sleep. The current study compared the sleep of survivors of acute lymphoblastic leukemia who were 2-7 years off therapy and their siblings to healthy control/sibling dyads. METHODS: Participants (survivors, n = 45; survivor siblings, n = 27; controls, n = 45; control siblings, n = 41; 58% male) aged 8-18 (m = 11.64) completed a 7-day sleep diary and seven consecutive days of actigraphy. Parents (n = 90) completed the Children's Sleep Habits Questionnaire for each of their children. RESULTS: No between-group differences were found on measures of sleep diaries or actigraphy. Parents reported that survivor siblings had significantly poorer sleep habits than survivors or controls. For survivors, greater time off treatment and younger age at diagnosis were associated with less total sleep time, more wake after sleep onset, and decreased sleep efficiency via actigraphy. CONCLUSION: Sleep across all groups was consistent and below national guidelines. Although the survivor group did not have poorer sleep compared to their siblings or matched controls, within the survivor group, those who were diagnosed at an earlier age and those who were further off treatment had more disrupted sleep. Parent reports suggested that survivor siblings may be at risk for sleep problems.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".