Sleep Habits and Fatigue of Children Receiving Maintenance Chemotherapy for ALL and Their Parents
Bibliographic record
Abstract
The study of potential contributors to fatigue, such as sleep disturbance, has been identified as a research priority in pediatric cancer. The primary objective of this descriptive study was to explore relationships between sleep habits, sleep disturbance, and fatigue for children receiving maintenance chemotherapy for acute lymphoblastic leukemia (ALL). This study also described sleep habits, sleep disturbance, and fatigue of parents of children and adolescents with ALL and determined if relationships existed between parent and child sleep disturbance and fatigue. Using a descriptive, cross-sectional design, children aged 4-18 years receiving maintenance chemotherapy for ALL and their parents completed questionnaires about their sleep and fatigue. Sleep disturbance was common in both children (87%) and parents (48%) and sleep disturbance scores were positively correlated with fatigue scores. From qualitative written responses to open-ended questions, 9 themes emerged related to sleep for children undergoing maintenance chemotherapy for ALL. Sleep differences noted since diagnosis included (1) sleep is disturbed, (2) sleep habits have changed, and (3) sleep is unchanged or improved. Things that got in the way of children sleeping well included (4) side effects of medication, especially dexamethasone; and (5) medication schedules. Things that helped children get sleep at night were (6) sleeping with someone, (7) comforting activities or routine, (8) medications, and (9) food and drink. Sleep disturbance in children on ALL maintenance and their parents is common and likely contributes to increased fatigue and is a potential target for nursing interventions.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".