Children and adolescents' mental health during the COVID‐19 pandemic: A qualitative study of their experiences
Bibliographic record
Abstract
TOPIC: Public health measures implemented in response to the COVID-19 pandemic severely disrupted children and adolescents' (C&A) lives, affecting their sense of structure, predictability, and security. PURPOSE: To examine C&A' experiences during the COVID-19 pandemic to better understand how this context and its associated public health measures affected them and their mental health, and to identify helpful coping strategies. SOURCES USED: The study was guided by a participatory hermeneutic framework. Semistructured interviews were conducted with 25 C&A aged 6-17 years during the first and second pandemic waves. Participants' interviews were analyzed following a narrative synthesis approach, through which C&A' experiences were contrasted and contextualized to highlight relevant themes. CONCLUSIONS: Participants described a distinct pattern related to their mental health as the pandemic unfolded, which followed the severity of the pandemic in the province. Negative repercussions on their mental health were linked to the loss of social activities, imposed public health measures, transition to online learning, and challenges with family relationships. Certain youth shared positive societal and moral reflections triggered by the pandemic context. Coping strategies reported include: having a variety of hobbies; expressing their emotions; and accessing financial and material resources. This study highlights the importance of supporting C&A' mental health during crisis situations such as a pandemic. Their perspectives are vital for clinical practice and policy improvement, particularly to find means for social engagement while maintaining safety.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".