Impacts of the <scp>COVID</scp>‐19 pandemic on youth mental health among youth with physical health challenges
Bibliographic record
Abstract
AIM: To examine mental health in conjunction with physical health during the COVID-19 pandemic among youth with physical health conditions compared to those without. METHODS: A cross-sectional survey of 622 youth aged 14 to 28 was conducted. Analyses were conducted to understand the changes in mental and physical health among youth in four groups: (a) participants with a friend or family member diagnosed with COVID-19, (b) participants with symptoms associated with COVID-19, (c) participants with atopic conditions (asthma and allergies), and (d) participants with other preexisting physical health conditions. RESULTS: Many participants with physical health concerns met screening criteria for an internalizing disorder, which was significantly higher than the rate found among participants without physical health conditions. Significantly greater declines in self-reported mental health were observed during the COVID-19 period compared to 3 months earlier among youth reporting physical health concerns compared to those without physical health concerns. Substance use does not appear to have been affected. CONCLUSIONS: Mental health concerns are highly prevalent among youth with physical health concerns, and also appear to be exacerbated by the COVID-19 pandemic. Physical health concerns appear to constitute risk factors for heightened mental health responses to the pandemic situation. System planners striving to adapt mental health services to meet social/physical distancing recommendations are urged to consider youth with physical health conditions and ensure that adequate integrated mental health and physical health supports are available to them.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".