The mental health implications of COVID-19 for adolescents: Follow-up of a four-wave longitudinal study during the pandemic.
Bibliographic record
Abstract
= 13.9 years; 50.3% female). Participants were recontacted to assess their anxiety, depression, and emotion dysregulation symptoms during the pandemic. Latent growth modeling based on four pre-COVID time points indicated the extent to which the fifth (COVID) time point deviated from trend expectations. Results showed that (a) anxiety and depression scores were significantly higher than previous trajectories would have predicted, and (b) deviations from personal trajectories were associated with higher levels of perceived lifestyle impact due to the pandemic. Furthermore, gender-based analyses revealed that financial impacts, lifestyle impacts, and coronavirus fear were differentially associated with symptom increases for male and female participants. The current study is among the first to report that adolescent mental health trajectories have been altered in the face of the COVID-19 pandemic. As physical distancing and other safety precautions may be required for several years, it is essential that we gain a deep understanding of how prevention efforts are associated with significant disruptions to youth mental health to bolster youth resilience during these unprecedented times. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".