Coping during COVID-19: examining student stress and depressive symptoms
Bibliographic record
Abstract
Objective: College students have faced widespread changes and challenges as a result of the novel coronavirus disease of 2019 (COVID-19) pandemic. How students cope with these disruptions is important in determining the ongoing impacts of the pandemic on mental health and well-being. We evaluated the associations between COVID-19 stress, coping responses, and symptoms of depression. Participants: A sample of 131 students (106 female; 25 male) was recruited throughout May 2020. Methods: Participants completed online self-report measures of study constructs. Results: As predicted, students experiencing more stress related to COVID-19 endorsed more symptoms of depression. Student stress was also associated with less use of engagement coping responses. Primary engagement and secondary engagement coping responses mediated the relationship between COVID-19 stress and symptoms of depression. Conclusions: Students lacking in adaptive, engagement coping responses may be particularly at risk for psychopathology when faced with high levels of stress related to COVID-19.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".