Status loss due to COVID-19, traditional masculinity, and their association with recent suicide attempts and suicidal ideation.
Bibliographic record
Abstract
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. In this anonymous online survey conducted in German-speaking European countries, 490 men completed questionnaires regarding loss of social status due to the COVID-19 pandemic, past-month and lifetime suicide attempt and suicidal ideation. Furthermore, endorsement of traditional masculinity ideology and prototypical and male-typical externalizing depression symptoms were measured. Out of a total of 490 men, 14.7% of men reported experiencing status loss due to the pandemic. These men were more than four times as likely to have attempted suicide in the past month (OR = 4.48, 95% CI [1.72, 11.67]) and more than twice as likely to report suicidal ideation during the past 2 weeks (OR = 2.47, 95% CI [1.42, 4.28]), than men not reporting status loss. Status loss, but not endorsement of traditional masculinity ideology, was associated with suicide outcomes. However, when male-typical externalizing depression symptoms and prototypical depression symptoms were included in the models, they exhibited the only direct associations with suicide outcomes (e.g., for past-month suicide attempt: male-typical externalizing depression symptoms OR = 2.18, 95% CI [1.31, 3.62], prototypical depression symptoms OR = 2.41, 95% CI [1.13, 5.12]). A significant interaction between status loss and endorsement of traditional masculinity ideology further suggests an enhancing moderating effect of traditional masculinity on the relationship between status loss and past-month suicide attempts (OR = 3.27, 95% CI [1.16, 9.27]). Status loss due to the COVID-19 pandemic emerges as risk factor for suicide in men. Men who experience status loss due to the COVID-19 pandemic while concomitantly exhibiting strong endorsement of traditional masculinity ideology have an additional increased risk of suicide.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".