The psychological effects of COVID-19 spread in young Canadian adults
Bibliographic record
Abstract
Background and aim: The novel coronavirus disease 2019 (COVID-19) not only threatens physical health but also psychological well-being. As a result of the pandemic, increased mental health burdens have been recorded in young adults around the world. We sought to understand the association of stressors related to the COVID-19 pandemic with symptoms of psychological and emotional distress in young Canadian adults. Method: Questionnaire respondents were asked about the extent to which they were personally impacted by COVID-19, and symptoms related to depression, anxiety, post-traumatic disorder, and emotional distress. Results: Of 84 respondents, most identified as female (74%; 62/84). Overall, 61% (51/84) reported experiencing symptoms of psychological distress related to depression, anxiety, or post-traumatic stress disorder (PTSD); specifically, 43% (36/84) reported anxiety-related symptoms, 33% (28/84) reported depression-related symptoms, and 6% (5/84) reported PTSD-related symptoms. Individuals with family in settings high risk for COVID-19 infection and individuals who received government aid with a reduction in income were 4.30-fold and 2.80-fold more likely, respectively, to experience symptoms of psychological distress (95% CI 1.31–14.14; p = .013 and 95% CI 1.08–7.25; p = .038, respectively). Visits to social media daily to hourly for COVID-19 related news resulted in a 3.24-fold increase in the likelihood of experiencing depression-related symptoms (95% CI 1.26–8.35; p = .020). Conclusion: We demonstrate a necessity to focus on alleviating the mental health burdens and contributing stressors within young Canadian adults. Though the mental health burdens are currently exacerbated by the effects of the COVID-19 pandemic, they may persist after the pandemic ends if left unaddressed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".