Perceived Paternal Involvement, Relationship Satisfaction, Mothers' Mental Health and Parenting Stress: A Multi-Sample Path Analysis
Bibliographic record
Abstract
Research has demonstrated the short- and long-term impacts of maternal mental health and well-being on children's emotional and behavioral outcomes. It is thus important to better understand the antecedents of maternal depression and stress. The aim of this study was to determine whether the contribution of perceived paternal involvement to account for mothers' depression and parental stress was mediated by relationship factors such as parenting alliance and dyadic adjustment. A second aim was to determine whether these relationships hold equally true in mothers of infants and young toddlers (0-24 months) and mothers of older children (25 months and older). Cross-sectional data were collected from 447 mothers. Mothers reported on their perceptions of paternal involvement with childcare responsibilities, dyadic adjustment, parenting alliance, parenting stress, and depression. Multi-sample path modeling analyses were conducted. Results revealed that perceived paternal involvement was positively related to both dyadic adjustment and parental alliance, that parenting alliance was negatively related to all three subscales of parenting stress and mothers' depression but that dyadic adjustment was negatively related to parenting distress (one subscale of parenting stress) and mothers' depression. Results from the multi-sample analyses indicated that the pattern of relationships was the same in the two groups, but that the model was not invariant. The most notable difference was that parenting alliance did not significantly account for depression in the mothers of younger children. Correlates of maternal mental health and well-being identified in this study could be useful when designing psychological interventions for mothers and fathers.
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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".