Symptoms of depression and anxiety increased marginally from before to during the COVID-19 pandemic among young adults in Canada
Bibliographic record
Abstract
We documented changes in depressive and anxiety symptoms from before to during the COVID-19 pandemic among young adults and investigated whether changes differed across participant characteristics. Data were available in an investigation of 1294 grade 7 students recruited in 1999-2000. For this analysis, we used data collected pre-pandemically in 2017-20 (mean (SD) age = 30.6 (1.0)) and during the pandemic in 2020-21 (mean (SD) age = 33.6 (0.6)). 673 participants with data in both cycles were retained for analysis. Symptoms were measured using the Major Depression Inventory (MDI) and the Generalized Anxiety Disorder-7 (GAD-7) scale. Standardized mean differences (SMD) of changes in MDI and GAD-7 values between cycles were calculated across participant characteristics. On average, MDI scores increased by 2.1 (95%CI 1.4, 2.8) points during the pandemic from mean 10.5; GAD-7 scores increased by 1.2 (0.8, 1.5) points from mean 4.7. The SMD was 0.24 (0.14, 0.33) for MDI, and 0.24 (0.13, 0.34) for GAD-7. No differences in MDI change scores were observed across participant characteristics. Differences in GAD-7 change scores were observed by mood/anxiety disorder (SMD - 0.31 (- 0.58, - 0.05)), household income (0.24 (0.02, 48)), living with young children (- 0.56 (- 1.23,- 0.05)), and adherence to public health recommendations 0.58 (0.19, 1.03)). Increases in depressive and anxiety symptoms were observed 10-16 months into the COVID-19 pandemic among adults age 32-36.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".