Examining interparental conflict, parent-child conflict, and child emotion regulation within the Family Check-Up®: A randomized controlled trial
Bibliographic record
Abstract
Interparental and parent-child conflict are key familial risk factors for emotion regulation (ER) difficulties in early childhood. This study examined the impact of the Family Check-Up® (FCU), a preventative family-centered intervention, on child ER at 12 months post-intervention, and whether the FCU moderated the association between early exposure to family conflicts (interparental and parent-child conflict) and ER outcomes. In a longitudinal randomized controlled trial conducted in Canada, 206 parent-child dyads (children aged 2–4 years) with early indicators of emotional and behavioural risk were assigned to the FCU intervention or a community control group. ER was assessed using an observational task coded into three ER strategy subgroups: behavioural coping, task-oriented, and emotion-oriented. Structural equation modeling was used to examine the models. Results indicated that the FCU intervention significantly reduced the number of behavioural coping ER strategies, such as avoidance and expressing negative affect. Moreover, the FCU buffered the negative association between parent-child conflict and task-oriented ER. However, interparental conflict was not significantly associated with ER outcomes and effects were not observed for emotion-oriented ER. These findings highlight the FCU's potential to reduce contextually maladaptive ER and mitigate the impact of parent-child conflict on child ER. • Followed 206 at-risk children aged 2–4 years for 12 months post-intervention in a randomized trial. • Coding identified three emotion regulation subgroups: behavioural coping, task-oriented, emotion-oriented. • Family Check-Up® reduced behavioural coping emotion regulation strategies. • Family Check-Up® moderated the link between parent-child conflict and task-oriented emotion regulation. • Interparental conflict was not significantly associated with any emotion regulation outcomes.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".