Early infant crying and sleeping problems: A pilot study of impact on parental well‐being and parent‐endorsed strategies for management
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
AIMS: Infant sleeping and crying problems are common and impact adversely on maternal mental health but their impact on paternal mental health is unknown. A consistent approach to managing such problems has not been identified. Parents may be able to identify useful management strategies, which could then inform the content of a prevention/early intervention approach to such problems. We aimed to determine the impact of infant behaviour problems on maternal and paternal mental health and management strategies that parents find useful. DESIGN: Pre-post intervention pilot. SETTING: Paediatric outpatient clinic at the Royal Children's Hospital, Melbourne. PARTICIPANTS: 71 mothers and 60 fathers of infants aged 2 weeks to 7 months recruited from July 2004 to April 2005. MAIN OUTCOME MEASURES: Pre and post questionnaires measuring maternal and paternal well-being (Edinburgh Postnatal Depression Scale (EPDS)), parent report of infant behaviour problems, usefulness of consultation strategies. RESULTS: Three weeks post consultation, fewer parents reported that their infant's behaviour was still a problem (64% of mothers and 55% of fathers). Thirty per cent fewer mothers reported an EPDS score>12 (45% pre vs. 15% post clinic) while 11% fewer fathers reported an EPDS score>9 (30% pre vs. 19% post clinic). Most parents (80% or more) rated exclusion of medical causes and information about normal sleeping/crying as useful. CONCLUSIONS: Problem infant behaviours are associated with poor parental mental health. An intervention/prevention approach to infant behaviour problems should include fathers and contain information about normal infant sleeping and crying patterns and exclusion of medical causes.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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 it