Maternal lack of sleep in the first two years after childbirth: Perceived impacts and help‐seeking behaviors
Bibliographic record
Abstract
Most evidence-based sleep interventions (e.g., graduated extinction of nighttime crying) are in opposition to many parents' values. This warrants taking a step back and asking the parents about their main concerns regarding their baby's sleep and the type of help they would be likely to use. This study aimed to describe and identify, among mothers of a 0- to 24-month-old child, the perceived impact of lack of sleep, sleep-related help-seeking behaviors as well as the most concerning aspects of the child's sleep, and preferred sleep intervention modalities. Another objective was to identify the factors associated with a negative impact of postpartum sleep, concerns for the child's sleep, and interest in sleep interventions. Canadian mothers (N = 932) were recruited by email snowball sampling and through Facebook to complete an online questionnaire designed for the purposes of the study. Most mothers reported a negative impact of postpartum sleep on their romantic relationship (79.4%) and quality of life (76.7%). Low parental self-efficacy (PSE) about managing the child's sleep was the best predictor of a negative impact of lack of sleep and sleep-related concerns, above and beyond any other child's or mother's characteristics. The preferred intervention modalities were reliable websites and online courses on child sleep, with a greater interest in home visits among mothers who need help the most (low self-efficacy, high concerns). Interventions should aim at increasing PSE about the child's sleep in both parents and include home visits for those who need it the most.
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 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 | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".