Parental psychological distress and child maladjustment: Exploring the moderating role of sibling relationship quality
Bibliographic record
Abstract
The aim of this study was to investigate whether the quality of the sibling relationship moderates the association between parental psychological distress and child maladjustment (i.e., internalizing and externalizing problems). We extended previous literature by studying mothers and fathers separately and by including an observational measure of the quality of the sibling relationship. Participants were 52 two-parent families from a community sample who had at least two children living at home. Only one child (aged 6–10 years) was targeted for the study and studied in relation to his/her siblings. Mothers and fathers completed a self-reported questionnaire on their psychological distress and individually assessed their child’s social-emotional maladjustment. The targeted child’s interactions with his/her siblings were observed by independent judges during a home-visit. Results indicate that both maternal and paternal psychological distress are significant predictors of child social-emotional maladjustment. Moderation analyses reveal that children of distressed fathers are at lower risk of social-emotional maladjustment when they engage in highly positive interactions with their siblings.Post hocanalyses suggest that only sibling empathy (not teaching nor companionship) is a significant moderator of the association between paternal psychological distress and child maladjustment. The results of this study provide further evidence of the influence that fathers have in their child’s development and highlight the importance of using a systemic family approach to promote children’s social-emotional adaptation in the context of parental distress.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".