Mother Phubbing and Child Problematic Media Use: The Role of Mother-Child Relationship and Paternal Coparenting
Bibliographic record
Abstract
Purpose: This study investigates the relationship between mother phubbing and preschoolers' problematic media use, examining the mediating role of the mother-child relationship and the moderating effects of paternal coparenting. Drawing on the Interactive Theory of Childhood Problematic Media Use and family system theory, we aim to identify key family dynamics that influence early childhood media habits. The findings could provide insights into mitigating the negative impacts of parental phubbing on children's media habits and inform targeted interventions to promote healthier media use among young children. Methods: = 0.92) who completed self-report questionnaires. Path analysis with bootstrap sampling was executed to assess the moderated mediation model. Results: Mother phubbing was positively associated with preschoolers' problematic media use, with this relationship mediated by the mother-child relationship. Paternal coparenting moderated both the direct and indirect pathways in this relationship. Specifically, paternal coparenting directly mitigated the impact of mother phubbing on child problematic media use. Additionally, it alleviated the negative influence of mother phubbing on the mother-child relationship, thereby indirectly reducing its adverse effect on preschoolers' problematic media use. Overall, paternal coparenting demonstrated a protective function against the negative consequences of mother phubbing. Conclusion: The findings significantly contribute to our understanding of how mother phubbing might increase the risk of problematic media use among preschoolers and underscore the potential importance of reducing mother phubbing and increasing paternal coparenting as integral steps to prevent preschoolers' problematic media use.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.004 | 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".