Changes in emerging adults’ alcohol and cannabis use from before to during the COVID-19 pandemic: Evidence from a prospective birth cohort.
Bibliographic record
Abstract
OBJECTIVE: Prospective research is needed to better-understand changes in substance use from before to during the coronavirus disease (COVID-19) pandemic, among emerging adults (18-25 years), a high-risk group for substance use. METHOD: = 1,080; 54% female) participants enrolled in the Québec Longitudinal Study of Child Development, who completed prepandemic (2019; 21 years) and COVID-19 (mid-March to mid-June 2020) surveys. COVID-19-related and preexisting factors were examined as moderators of change in substance use. RESULTS: ² = .10) during COVID-19. CONCLUSIONS: Changes in alcohol and cannabis use frequency among emerging adults in the first 3 months of COVID-19 largely differed according to prepandemic substance use, COVID-19-related factors, and preexisting factors. While some youth with preexisting vulnerabilities (e.g., more frequent substance use prepandemic) remained stable or decreased their substance use during COVID-19, emerging adults who experienced employment loss, loneliness, and financial concerns during COVID-19 increased their substance use, highlighting the need for increased supports for vulnerable populations. (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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".