Sleep and Factors Affecting Sleep for Parents of Preterm Infants Compared to Parents of Healthy Term Infants: The After-baby Comparison (ABC) Parent Sleep Study
Bibliographic record
Abstract
Background/Rationale: Poor sleep is linked to negative health consequences, including postpartum depression among new mothers. Mothers of preterm infants may be at risk of poor sleep, but changes in sleep across the hospital-home transition and comparison to mothers of healthy term infants at a comparable time when infant is home has been inadequate. Objectives: The primary aim of this study was to compare sleep quality, sleep quantity and factors affecting sleep for maternal cohorts at the 4-week timepoint (T1). Secondary objectives aimed to characterize change in sleep and factors affecting sleep across timepoints for both cohorts, and investigate prospective associations between psychological distress and sleep quality reported by mothers of healthy term infants. Methods: In a prospective observational survey cohort study, 71 mothers of healthy term infants and 30 mothers of preterm infants were recruited. Mothers of healthy term infants completed study measures when their infant was 4 weeks old (T1) and 4 months of age (T2). Mothers of preterm infants completed study measures during hospitalization (T0) and 4 weeks post-hospital discharge (T1). Validated study measures included maternal sleep (Pittsburgh Sleep Quality Index-PSQI), infant sleep, depression, anxiety, social support, partner support, cognitions, and behaviours around infant sleep. Results: There were no maternal cohort differences in any sleep quality/quantity variable, psychological distress, factors affecting sleep 4 weeks after discharge; with the majority (93%) scoring above the sleep quality (PSQI) cut-off >5. Despite not sleeping in hospital or caring for their infant at night, mothers of preterm infants reported similar levels of poor sleep during hospitalization and 4-weeks post-discharge; with the majority sleeping <6 hours/night (T0: 60% vs. T1: 71%, p=0.505). Among mothers of term infants, psychological distress at 4 weeks was significantly associated with worse sleep quality at 4 months postpartum. Conclusion: High rates of sleep disturbances and psychological distress for mothers of preterm infants and mothers of healthy term infants at all timepoints highlight the need to develop anticipatory and targeted interventions aimed at preserving sleep and reducing deleterious consequences of sleep loss for mothers of preterm infants in the NICU and for all mothers in the postpartum.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".