Status loss due to COVID-19, traditional masculinity, and their association with recent suicide attempts and suicidal ideation.
Bibliographic record
Abstract
Background: The COVID-19 pandemic is causing extensive job loss leading to a loss of social status in many men. Endorsement of traditional masculinity ideology may render some men particularly sensitive to status loss and thereby to an increased risk for suicidality.Methods: In this anonymous online survey conducted in German-speaking European countries, 490 men completed questionnaires regarding loss of social status due to the pandemic, suicidal ideation and past-month suicide attempt. Furthermore, prototypical and male-typical externalizing depression symptoms, self-identified masculine gender orientation, endorsement of traditional masculinity, and gender role conflict were measured.Results: Out of a total of 490 men, 14.7% of men reported experiencing a status loss due to the pandemic. These men were more than twice as likely to report suicidal ideation during the past two weeks, and more than four times as likely to have attempted suicide in the past month than men not reporting a status loss. Depression symptoms, self-identified masculine gender orientation, endorsement of traditional masculinity, but not gender role conflict were positively associated with status loss. Suicidal ideation and suicide attempt were associated with prototypical and male-typical externalizing depression symptoms, but not masculinity- related constructs.Conclusion: Status loss emerges as risk factor for suicide and is associated with depression symptoms, higher masculine gender orientation and endorsement of traditional masculinity. Men with high levels of traditional masculinity and status loss due to the pandemic are at increased risk for suicide.
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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 | 0.001 |
| 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) | 0.002 | 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".