Suicidal ideation among Canadian adults during the third year of the COVID-19 pandemic compared to pre- and early pandemic periods
Bibliographic record
Abstract
• Prevalence of suicidal ideation in Canada remained high during late pandemic period. • The prevalence of 3.8 % in 2023 was significantly higher than the 2.7 % in 2019. • The prevalence in 2023 did not significantly differ from the prevalence in 2021. • Middle aged and older adults had higher prevalence in 2023 than pre-pandemic. • Some sociodemographic groups had higher prevalence than their peers in 2023. This study examined the prevalence of suicidal ideation among adults in Canada during the third year of the COVID-19 pandemic comparing to the pre- and early pandemic periods, and assessed sociodemographic and pandemic-related factors. We estimated prevalence of suicidal ideation from the Survey on COVID-19 and Mental Health (SCMH) conducted between February and May, 2023 (11,526 respondents, response rate 46.5 %), and compared with the prevalence in the 2019 Canadian Community Health Survey (57,034 respondents, response rate 54.9 %) and the 2021 SCMH (5,742 respondents, response rate 51.2 %). We used logistic regressions to assess the likelihood of reporting suicidal ideation. In 2023, 3.8 % of adults reported suicidal ideation in the past 12 months, which was not significantly different from the 4.2 % in 2021, but higher than the 2.7 % in 2019. Adults aged 35-64 years and females 65 years or older had significantly higher prevalence in 2023 compared to 2019. Higher prevalence compared to the pre-pandemic baseline was also observed in other subpopulations, but none of them significantly differed from the prevalence in 2021. Adults who were aged 65 years or younger, White, Indigenous, born in Canada, with low income, without a spouse or child, LGBTQ2, with disability, or had experienced pandemic-related impacts had higher risk of suicidal ideation than their peers. Prevalence of suicidal ideation remained elevated compared to the pre-pandemic baseline among most adults in Canada during the late pandemic period. Continued surveillance to evaluate middle and long-term impacts of the pandemic on mental health is needed.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Observational | low |
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".