Protective factors for child development at age 2 in the presence of poor maternal mental health: results from the All Our Babies (AOB) pregnancy cohort
Bibliographic record
Abstract
OBJECTIVE: To identify the combination of factors most protective of developmental delay at age 2 among children exposed to poor maternal mental health. DESIGN: Observational cohort study. SETTING: Pregnant women were recruited from primary healthcare offices, the public health laboratory service and community posters in Calgary, Alberta, Canada. PARTICIPANTS: 1596 mother-child dyads who participated in the All Our Babies study and who completed a follow-up questionnaire when their child was 2 years old. Among participants who completed the 2-year questionnaire and had complete mental health data (n=1146), 305 women (27%) were classified as high maternal mental health risk. PRIMARY MEASURES: Child development at age 2 was described and a resilience analysis was performed among a subgroup of families at maternal mental health risk. The primary outcome was child development problems. Protective factors were identified among families at risk, defined as maternal mental health risk, a composite measure created from participants' responses to mental health life course questions and standardised mental health measures. RESULTS: At age 2, 18% of children were classified as having development problems, 15% with behavioural problems and 13% with delayed social-emotional competencies. Among children living in a family with maternal mental health risk, protective factors against development problems included higher social support, higher optimism, more relationship happiness, less difficulty balancing work and family responsibilities, limiting the child's screen time to <1 hour per day and the child being able to fall asleep in <30 min and sleeping through the night by age 2. CONCLUSIONS: Among families where the mother has poor mental health, public health and early intervention strategies that support interpersonal relationships, social support, optimism, work-life balance, limiting children's screen time and establishing good sleep habits in the child's first 2 years show promise to positively influence early child development.
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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 | 0.001 | 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 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".