The mental well-being and coping strategies of Canadian adolescents during the COVID-19 pandemic: a qualitative, cross-sectional study
Bibliographic record
Abstract
BACKGROUND: Qualitative research is lacking on the mental well-being of adolescents during the COVID-19 pandemic. The aim of this study was to explore the feelings and emotions adolescents experienced during the first wave of the COVID-19 pandemic and the coping strategies they identified and employed to manage those emotions. METHODS: Participants living in Canada aged 13-19 years were recruited through social media platforms and youth-serving organizations. Qualitative data were gathered from 2 open-ended questions included in a youth-informed cross-sectional online survey: "What feelings and emotions have you experienced around the pandemic?" and "What coping strategies have you used during the pandemic?" We collected data from June 2020 to September 2020. A summative content analysis was undertaken to analyze survey responses inductively. RESULTS: = 851; mean age 15.6, standard deviation 1.7, yr) were analyzed. We identified 3 major themes within the category of feelings and emotions associated with the pandemic: sociospatial and temporal disconnections, emotional toll of the pandemic and positives amid the pandemic. Within the category of coping strategies used during the pandemic, 2 major themes were identified: connecting online and outdoors, and leisure and health-promoting activities. INTERPRETATION: Although the emotional toll of the first wave of the COVID-19 pandemic is evident, participants in our study adopted various positive coping strategies to mitigate their distress, including physical activity, safe peer interactions and hobbies. The results have important implications for public health policy and practice during pandemic times, emphasizing the importance of accessible mental health resources for those experiencing psychological distress.
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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 | 0.001 | 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".