Parenting stress during infancy is a risk factor for mental health problems in 3-year-old children
Bibliographic record
Abstract
BACKGROUND: Although research on the relationship between parent and child mental health is growing, the impact of early parenting stress on preschool-aged children's mental health remains unclear. The objective was to evaluate the association between parenting stress during infancy and mental health problems in 3-year-old children. METHODS: A prospective cohort study of healthy preschool-aged children recruited from 9 primary care practices in Toronto, Canada was conducted through the TARGet Kids! primary care practice-based research network. Parenting stress was measured when children were between 0 to 16 months of age, using the Parent Stress Index Short Form, PSI-SF. Parent-reported child mental health problems were measured at 36 to 47 months using the preschool Strengths and Difficulties Questionnaire, total difficulties score (TDS). Hierarchical linear regression analysis was used to investigate the association between standardized PSI-SF and TDS, adjusted for child age, sex, temperament, sleep duration and household income. To strengthen clinical interpretation, analysis was repeated using adjusted multivariable logistic regression (TDS dichotomized at top 20%). RESULTS: A total of 148 children (mean ± SD age, 37.2 ± 1.7 months, 49% male) were included in the analysis. Parenting stress during infancy (11.4 ± 3.1 months of age) was significantly associated with mental health problems in 3-year-old children (β = 0.35; 95% CI = 0.20-0.49, p < 0.001). Higher parenting stress was also associated with increased odds of higher TDS (OR = 2.26, 95% CI = 1.69-2.83, p < 0.01). CONCLUSION: Healthy preschool-aged children with parents reporting parenting stress during infancy had a 2 times higher odds of mental health problems at 3 years.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".