Child and marital stress are associated with a psychophysiological index of self-regulatory capacities among parents of preschool children
Bibliographic record
Abstract
OBJECTIVE: A parent's ability to self-regulate influences parenting practices. Child-related stressors may deplete parent's self-regulatory capacities. However, this effect may be moderated by the marital context within which stressful parent-child interactions are occurring. The aim of the current study was to investigate the association between child behavioural problems and parent vagally-mediated heart rate variability (vmHRV), a proposed psychophysiological index of self-regulatory capacities, and to test whether marital stress moderated this effect. METHODS: Eighty cohabiting heterosexual couples with preschool children had their vmHRV recorded during a laboratory session and completed a measure of child behavioural problems. Daily assessments of marital stress were measured over six consecutive days. Partner's ratings of child behavioural problems and marital stress were used to predict participant's vmHRV. RESULTS: After adjusting for participant's age, gender, and ethnicity, greater child behavioural problems predicted lower parent vmHRV. Marital stress exacerbated the association between child behavioural problems and parent vmHRV. However, this association was moderated by parent's gender, with marital stress exacerbating the association between child behavioural problems and parent vmHRV for fathers, but not for mothers. CONCLUSION: Child-related stressors are associated with reduced self-regulatory capacities among parents of preschool children as assessed by vmHRV. Fathers are especially vulnerable to the marital context within which these stressors are occurring. Poor self-regulation capacities during the early parenting years may place both parents and children at risk for long-term maladaptive 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 | 0.000 | 0.002 |
| 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) | 0.002 | 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".