Navigating Prolonged Uncertainty: The Role of Emotion Regulation and Coping on Mental Health Outcomes During Covid-19
Bibliographic record
Abstract
The thesis examines the longitudinal effects of emotion regulation and coping strategies on mental health outcomes during the COVID-19 pandemic across three phases in Quebec, Canada. We investigated how emotion regulation strategies and coping strategies (problem-focused, emotion-focused, and avoidant) shaped psychological adaptation during the pandemic. Results showed that cognitive reappraisal predicted lower baseline internalizing symptoms, while emotion-focused and avoidant coping were associated with higher initial distress. However, the effectiveness of these strategies varied, highlighting the need for flexible coping practices in prolonged crises. An interaction between emotion-focused coping and perceived stress revealed that high levels of both led to a reduction in psychological distress over time. Surprisingly, no effects of emotion regulation strategies on psychological distress were observed. These findings highlight how flexible coping might be beneficial during prolonged stress, offering new insights for mental health interventions in future global challenges.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".