Relationships between sleep disruptions, health and care responsibilities among mothers of school‐aged children with disabilities
Bibliographic record
Abstract
AIM: Sleep problems are more common among children with disabilities. Mothers are likely to provide night-time care. Mothers of children with disabilities are known to experience high levels of stress and mental health issues compared with other mothers. Relationships between a child's sleep problems, and chronic maternal sleep interruption and subjective health have not been researched. METHOD: Cross-sectional mail-out survey with follow-up phone call was used. Instruments included the Short Form 36 version 2 and instruments that measured maternal, child and sleep characteristics. Descriptive statistics examined characteristics of participants and correlation, and Kruskal-Wallis test was used to determine important maternal and child characteristics around sleep issues. RESULTS: All mothers (n = 152) cared for a school-aged child with a developmental disability including autism spectrum disorder (n = 94) and cerebral palsy (n = 29). Nearly half (49%) of the mothers were awoken more than 4 nights/week. Three distinct sleep groups were identified: no sleep interruption; sleep interruption once/night, 4 nights/week; and more frequent interruption. Mothers experiencing the most sleep interruptions reported significantly poorer health on six Short Form 36 version 2 dimensions. Night-time caregiving was associated with higher child care needs rather than children's diagnoses. Mothers who experienced more sleep interruption also participated less in health-promoting activities (active leisure, time with socially supportive others) during the day. CONCLUSION: This study identifies a group of mothers with chronic sleep interruption and demonstrates related poor maternal subjective health and lower participation in health activities that may service to support maternal health. Mothers with children with the highest daytime care needs also experienced high night-time care responsibilities. Changes to service provision are recommended to identify mothers in need of additional supports and services.
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 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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".