Risk and Protective Factors for Externalizing Behavior at 3 Years: Results from the All Our Families Pregnancy Cohort
Bibliographic record
Abstract
OBJECTIVE: This study examines risk and protective factors for externalizing behavior in children aged 3 years to inform early interventions and enhance school readiness. METHOD: A total of 1314 mothers participating in a longitudinal study completed questionnaires when their children turned 2 years and again at the age of 3 years. Externalizing behavior was assessed using a short version of the Child Behavior Checklist. Risk and protective factors included the child's characteristics, maternal mental health and disposition, socioeconomic status, and community engagement and child care. Logistic regression models produced crude and adjusted odds ratios (AORs). RESULTS: Poor maternal mental health and high levels of maternal neuroticism were associated with an increased risk for externalizing problems at 3 years (AOR, 1.66; 95% confidence interval [CI], 1.16-2.40 and AOR, 2.28; 95% CI, 1.58-3.30). Care by their mother, relative, or a nanny (compared with being in child care) also conferred an increased risk (AOR, 1.38; 95% CI, 1.01-1.90). Mothers' community engagement modified the risk for boys, such that boys whose mothers did not participate in community activities were 4 times more likely to have externalizing problems than did boys whose mothers engaged in community activities. CONCLUSION: Families in which mothers experience mental health challenges or have dispositional traits that increase the risk of externalizing behaviors can be identified early. Identification provides the opportunity to promote engagement with parenting supports to improve the outcomes of the child and family. Providing opportunities for children to practice their self-regulation skills through participation in child care and community activities promotes development and mitigates the risk of externalizing behavior.
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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 | 0.000 | 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 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".