Associations Among Behavioral Sleep Disturbance, Family Functioning, and Controller Medication Adherence in Children with Asthma
Bibliographic record
Abstract
OBJECTIVE: This study examined the associations among child sleep disturbances, family functioning, and asthma controller medication adherence in school-age children with persistent asthma. METHODS: Thirty-four children aged 6 to 11 years and a parent independently reported on asthma control and controller medication adherence. Parents also reported on family functioning (behavior control) and child sleep disturbances (bedtime resistance, daytime sleepiness). Hierarchical linear regression models tested sleep disturbance variables as predictors of family functioning and medication adherence. A mediation model tested behavior control as a mediator between sleep disturbance and medication adherence. RESULTS: Seventy-nine percent of the children had well-controlled asthma. Despite a mean of 9.48 hours of child sleep per night, 73% of the children had clinically significant disturbed sleep. Controlling for child age, bedtime resistance accounted for 32% of the variance in family behavior control (F(1,31) = 14.75, p < .01). Behavior control also significantly mediated the relationship between total sleep disturbance and medication adherence, with a standardized indirect effect of β = -.17 (95% confidence interval [CI], -.47 to -.03) for parent-reported adherence and β = -.12 (95% CI, -.36 to -.01) for child-reported adherence. CONCLUSION: Child behavioral sleep disturbances significantly predicted family behavior control. Although child sleep disturbances did not significantly predict asthma controller medication adherence, there was a significant indirect effect of sleep disturbance on medication adherence through compromised family behavior control. Developmentally appropriate behavioral sleep interventions may improve family functioning and child asthma controller medication adherence. Family functioning may also be an entry point for intervention to improve medication adherence.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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 | 0.001 |
| 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".