Adverse Associations of Infant and Child Sleep Problems and Parent Health: An Australian Population Study
Bibliographic record
Abstract
OBJECTIVE: Infant sleep problems are strongly associated with poorer maternal mental health. It is not known whether they are also associated with poorer paternal mental health, nor whether sleep problems in older children are associated with maternal or paternal mental health. We aimed to examine relationships between child sleep problems and maternal and paternal mental health and general well-being in each of the infant and preschool-aged groups. METHODS: Participants of this cross-sectional survey included families of infants (n = 5107) and preschool-aged children (n = 4983) participating in the first wave of the nationally representative Longitudinal Study of Australian Children, surveyed March through November 2004. The primary outcomes were mother and father serious psychological distress (measured by the Kessler-6) and general health (parent report of general health taken from the 12-item Short Form Health Survey and dichotomized into poor versus good health). A primary caregiver's report of the child's sleep problem was dichotomized into moderate/severe versus none/mild. RESULTS: The prevalence of severe psychological distress ranged from 3% to 5%, and prevalence of poor general health ranged from 8% to 11%. Moderate to severe sleep problems affected 17% of infants and 14% of preschool-aged children. Infant sleep problems were associated with poor general health in mothers and with poor general health in fathers. Preschool sleep problems were associated with poor maternal general health. In mothers with no past history of depression, infant sleep problems had a greater effect on severe psychological distress compared with mothers with a past history of depression. CONCLUSIONS: Sleep problems are common in infants and preschool-aged children. Infant sleep problems, in particular, are associated with poorer health in both parents, especially the mental health of mothers with no past history of depression.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".