Pandemic-related experiences, mental health symptoms, substance use, and relationship conflict among older adolescents and young adults from Manitoba, Canada
Bibliographic record
Abstract
There is growing awareness of the negative impact of the COVID-19 pandemic on young people. The purpose of this study was to examine older adolescents' and young adults' pandemic-related experiences, including financial difficulties, emotional support, social connections, mental health symptoms, substance use, and relationship conflict. Data from the Well-being and Experiences Study (The WE Study) were gathered from November to December 2020 in Manitoba, Canada, among a community sample (n = 664; ages 16-21 years). Over half of the sample self-reported increased stress/anxiety (57.6%) and depression (54.2%) attributed to the pandemic. Increased alcohol consumption was reported by 18.2% of alcohol-users. Among cannabis-users, 35.1% reported increased use. Conflict with parents, siblings, and an intimate partner increased for 19.9%, 15.2%, and 24.0% of respondents, respectively. Females reported greater financial burden, mental health burden, and conflict with parents than males. Young adults reported greater financial and mental health burden than older adolescents. Higher household income was protective of some experiences. The current study adds to growing evidence that young people were adversely impacted by the COVID-19 pandemic. Increased access to virtual support resources is needed and should continue following the pandemic. Evidence-based interventions may need to be tailored to females and young adults.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 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) | 0.002 | 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".