Youth COVID-19 stressors and associations with self-perceived health, depression, anxiety, and at-risk alcohol and cannabis use
Bibliographic record
Abstract
Adolescents and young adults have been particularly vulnerable to disruptions caused by the COVID-19 pandemic. The objectives were to identify youth's self-reported pandemic-related stressors and examine how these stressors were related to six negative health outcomes: self-perceived, fair-to-poor physical, and mental health, depression, anxiety, and at-risk alcohol and cannabis use. Data were from the Well-Being and Experiences Study (The WE Study) from Manitoba, Canada (17–22 years old; n = 587; collected from November 2021 to January 2022). The COVID-19 stressors reported most frequently since pandemic onset included: (1) not being able to spend time with friends (78.5%); (2) feeling lonely or isolated (69.9%); and (3) remote learning for school, college, or university (68.4%). In reference to the “past month”, frequently reported stressors were (1) remote learning (42.6%); (2) feeling lonely or isolated (41.2%); and (3) uncertainty about the future (41.1%). Overall, 26.1% of the sample perceived their physical health as fair-to-poor and 59.1% perceive their mental health as fair-to-poor. A number of stressors were related to fair-to-poor mental health, depression, and anxiety; fewer were related to fair-to-poor physical health and at-risk alcohol and cannabis use. These findings can inform future pandemics and recovery efforts to improve pandemic-related health risks among youth.
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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 | 0.000 | 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 | 0.001 | 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".