Examining the relationship between emotion dysregulation and subjective & objective sleep from late pregnancy to early postpartum
Bibliographic record
Abstract
The perinatal period is marked by biological/hormonal, physiological, and psychosocial changes that can increase the risk of sleep difficulties and emotion dysregulation (ED). While the relationship between ED and sleep is well-documented, it remains understudied in the perinatal period despite the resulting adverse maternal-infant outcomes. This study aimed to address gaps in our understanding by 1) examining the relationship between ED and sleep longitudinally from late pregnancy to early postpartum, and by 2) using both subjective and objective measures of sleep. 58 participants were assessed across three visits during their third trimester of pregnancy, at 1-3 weeks, and at 6-12 weeks postpartum. ED was assessed using the Difficulties In Emotion Regulation Scale (DERS) at visit 1. Participants wore actigraphs for two week periods to obtain objective sleep data at each timepoint, including total sleep time (TST), sleep efficiency (SE), wake after sleep onset (WASO), sleep onset latency (SOL), and awakenings. Subjective sleep quality was examined using the Pittsburgh Sleep Quality Index (PSQI). Subjective sleep quality differed significantly between high and low ED groups at all visits, where those with high ED experienced worse sleep quality. Significant differences in this direction were also found for SE and WASO at visit 1. Significant positive correlations were found between the awareness subscale of the DERS and subjective sleep quality across visits, along with the strategies subscale at visits 1 and 3. This study provides support for the differential influence of high and low ED on subjective and objective sleep across the third trimester of pregnancy to 1-3 and 6-12 weeks postpartum, where those with higher ED display a trend of increased sleep difficulties across visits. With its use of a longitudinal design and subjective and objective sleep measures, this study provides novel insights into the ED – sleep relationship perinatally.
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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) | 0.000 | 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) | 0.001 | 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".