Adolescents' Depression and Anxiety Symptoms During the COVID-19 Pandemic: Longitudinal Evidence From COMPASS
Bibliographic record
Abstract
PURPOSE: There is concern over the potentially detrimental impact of the COVID-19 pandemic on adolescents' mental health. We examined changes in depression and anxiety symptoms from before (2018-19) to the early (2019-20) and ongoing pandemic (2020-21) responses among Canadian adolescents in the context of a natural experiment. METHODS: We used linked survey data from 5,368 Canadian secondary school students who participated in three consecutive waves of the cannabis use, obesity, mental health, physical activity, alcohol use, smoking, and sedentary behaviour study during the 2018-19, 2019-20, and 2020-21 school year. Separate fixed effects models examined whether changes in depression (Center for Epidemiologic Studies Depression Scale Revised-10) and anxiety (General Anxiety Disorder-7) symptoms differed between two cohorts. The cohorts differed in the timing of their second data collection wave; one cohort participated before the pandemic and the other cohort participated in the early pandemic (spring 2020). RESULTS: Depression and anxiety symptoms increased during the early and ongoing pandemic periods in the overall sample and both cohorts. The two cohorts experienced similar elevations in their symptoms. Females and younger respondents presented greater elevations over time. The proportion of adolescents with significant depressive (29.4%) and moderate-to-severe anxiety (17.6%) symptoms at baseline increased by 1.5 times, reaching 44.8% and 29.8% in the ongoing pandemic period, respectively. DISCUSSION: Findings suggest that internalizing symptoms have consistently increased since before the onset of COVID-19, particularly in the ongoing pandemic period; however, we found no evidence of the increase being due to the pandemic in the early COVID-19 period when comparing the two cohorts. Ongoing evaluation of adolescents' mental health is necessary to capture potentially dynamic impacts over time.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".