The mental health implications of COVID-19 for adolescents: Follow-up of a four-wave longitudinal study during the pandemic.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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).
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.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 it