Changes in Daily Behaviors and Cognitions During the COVID-19 Pandemic: Associations With Suicide Crisis Syndrome and Suicidal Ideation
Bibliographic record
Abstract
The COVID-19 pandemic resulted in drastic disruptions to lives and possible pernicious impacts on mental health, including suicidality. Understanding these relations, as well as impacts on at-risk populations, is essential. The present study examined changes in daily behaviors and cognitions after the implementation of physical/social distancing mandates in individuals with symptoms of suicide crisis syndrome (SCS) and/or suicidal ideation. Adults ( N = 5,528) across 10 countries completed online self-report measures. There were significant main effects of time and various configurations of interactions between time, SCS, and suicidal ideation in predicting behaviors (outdoor and social engagements) and cognitions (thoughts about health, finances, and living situation). Cross-culturally, individuals with more severe SCS symptoms generally had the largest changes in behaviors and cognitions, though this effect was not replicated across all countries. Overall, these findings highlight the implications of the potentially mutually exacerbating influences of routine disruptions and suicide risk and the importance of examining associations cross-culturally.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".