Stress, anxiety, emotion regulation and social support in parent‐child dyads prior to and during the onset of the COVID‐19 pandemic
Bibliographic record
Abstract
In March 2020, and in order to assess the impact of the COVID-19 pandemic on stress and mental health in parent-child dyads using pre-pandemic measures, we recontacted participants from a 2019 study. A total of 136 dyads of Canadian parents (77% mothers, mean age = 44.48 years/old) and children (63% girls, 77% aged 10-12 years/old and 23% aged 15-17 years/old) completed self-report measures of perceived stress, anxiety (state/sensitivity) and emotion regulation strategies (cognitive reappraisal/expressive suppression). Children additionally completed measures of co-rumination and perceived social support from friends, parents, and teachers. Results revealed a significant increase in parents' stress and state anxiety during the pandemic compared to before, but not in their children. Dyads' anxiety sensitivity remained unchanged, as well as parents' use of cognitive reappraisal and expressive suppression. Children showed similar use of cognitive reappraisal, but less expressive suppression and co-rumination during the pandemic compared to before. Children reported similar perceived social support from all sources over time. Finally, parental and children scores were not significantly correlated at either time. These results suggest that during the onset of the COVID-19 pandemic, parents and children responded differently in terms of stress, anxiety, and emotion regulation strategies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".