Family Functioning and the Pandemic: How Do Parental Perceived Social Support and Mental Health Contribute to Family Health?
Bibliographic record
Abstract
BACKGROUND: The COVID-19 pandemic and the quarantine measures implemented have profoundly impacted parents and families. The stress and uncertainty generated by the COVID-19 virus, as well as the disruption of routines and social relationships, have weakened both individual and family health and functioning. OBJECTIVE: The present research is part of a larger study that aims to understand, with a family systems theory, the longitudinal effects of the COVID-19 pandemic on school-aged children, adolescents, and their parents. More specifically, this paper aims to investigate parents' experience of the first months of the pandemic as a predictor of perceived social support, parental ill-being (aggregate score of well-established poor psychological functioning indicators), parental satisfaction, and family functioning. METHOD: During the first lockdown (April-May 2020), 203 parents of school-aged children living in Quebec completed an online questionnaire. RESULTS: Path analysis indicates that the impact of COVID-19 and health preoccupation due to COVID-19 are both positively associated with individual parental ill-being, which in turn detracts from family functioning and parental satisfaction. Furthermore, perceptions about positive effects of the pandemic are negatively associated with parental ill-being, and positively with perceived social support, which in turn significantly contributes to family functioning and parental satisfaction. CONCLUSION: The findings highlight the importance of adopting a systemic perspective to best understand the effects of the pandemic and the social and health measures on individuals, families, and systems, as well as to better support parents and family health through periods of uncertainty.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".