Dysregulation profile in children of ethnoracially diverse at-risk families: Factor structure and longitudinal correlates
Bibliographic record
Abstract
Abstract The present work sought to confirm the factor structure and examine longitudinal strengths-based and mental health correlates of the dysregulation profile (DP) in children of at-risk fragile families of diverse ethnoracial backgrounds. The data came from the Fragile Families and Child Wellbeing Study ( N = 2125 families). Mothers ( M age = 25.3) were mostly unmarried (74.6%), and children (51.4% boys) were identified as Black (47.0%), Hispanic (21.4%), White (16.7%), or multiracial or other backgrounds. Childhood DP was constructed using mother reports of the Child Behavior Checklist at age 9. Mothers’ in-home parent–child interactions and depressive symptoms were assessed at child age 5. At age 15, children responded about their own mental health, social skills, and other strengths-focused outcomes. A bifactor DP structure fit well to the data, with the DP factor representing difficulties in self-regulation. Using SEM, we found that mothers who were more depressed and used less warm parenting at child age 5 had children who presented with higher DP at age 9. DP was in turn associated with less social skills, perseverance, optimism, and more anxiety, depression, and impulsivity at adolescence. Childhood DP appears to be relevant and applicable for at-risk, diverse families, and may also impede on children’s future positive functioning.
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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".