Relationships Among Infant Sleep Patterns, Maternal Fatigue, and Development of Depressive Symptomatology
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Postpartum depression is a serious condition for women after childbirth. Although its etiology is unclear, one potentially important predictive variable that has received little attention is maternal sleep deprivation. The objective of this study was to examine relationships among infant sleep patterns, maternal fatigue, and the development of postpartum depression in women with no major depressive symptomatology at 1 week postpartum. METHODS: As part of a population-based postpartum depression study, 505 women who had an Edinburgh Postnatal Depression Scale (EPDS) score < 13 at 1 week postpartum completed questionnaires at 4 and 8 weeks postpartum. RESULTS: Mothers exhibiting major depressive symptomatology (EPDS > 12) at 4 and 8 weeks were significantly more likely to report that their baby cried often, be woken up 3 times or more between 10 pm and 6 am, have received less than 6 hours of sleep in a 24-hour period over the past week, indicate that their baby did not sleep well, and think that their baby's sleep pattern did not allow them to get a reasonable amount of sleep. Consistent with these findings, mothers with an EPDS score > 12 were significantly more likely to respond that they often felt tired. CONCLUSIONS: These results suggest that infant sleep patterns and maternal fatigue are strongly associated with a new onset of depressive symptoms in the postpartum period, and provide support for the development of postpartum depression preventive interventions designed to reduce sleep deprivation in the early weeks postpartum.
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.
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it