Fear of COVID-19 and parental violence: The mediating role of parental burnout and child perceived as difficult
Bibliographic record
Abstract
BACKGROUND: Since the beginning of the COVID-19 pandemic, there has been a worldwide increase in the incidence of child abuse. Studies show that the pandemic context contributes to exacerbate several risk factors usually associated with the use of violent disciplinary practices. OBJECTIVE: This study aims to better understand the role of parental burnout and child perceived as difficult as a parental stressor in the link between fear of COVID-19 and the use of parental violence (minor and severe physical violence and repeated psychological aggression). PARTICIPANTS: The sample includes 467 mothers living in Québec (Canada) with a child aged 5 or less. METHOD: An online questionnaire, administered one year after the beginning of the COVID-19 pandemic in Québec (March to May 2021), was used to measure parental violence, parental burnout, parental stress related to the perception of the child as difficult and fear of COVID-19. Serial mediation analyses were performed. RESULTS: The main analyses confirmed the indirect association between fear of COVID-19 and the three forms of parental violence studied, through parental burnout and the child perceived as difficult. Unlike physical violence (minor and severe), the association between fear of COVID-19 and repeated psychological aggression is explained only by parental burnout. CONCLUSIONS: This study has identified new mechanisms that allow a better understanding of processes underlying parental violence during the pandemic. It also shows that parental violence can also occur in low-risk families. It is crucial to develop strategies to prevent the use of violent disciplinary practices in future socio-health crises such as the COVID-19 pandemic.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".