Suicidal ideation among men during COVID‐19: Examining the roles of loneliness, thwarted belongingness, and personality impairment
Bibliographic record
Abstract
Suicidal ideation (SI) is a known precursor to suicide among men. While loneliness and thwarted belongingness (TB) have been identified as key factors influencing SI, no study has reported on all three constructs to investigate whether loneliness is associated with SI by way of TB. Furthermore, it is not clear whether personality impairment has a moderating role on this process. The present study examined the impact of loneliness on SI among men and whether TB mediated this relationship. Additionally, the study investigated whether personality impairment (i.e., self-functioning, interpersonal functioning) moderated the relationship between loneliness and TB. Canadian men (N = 434) completed an online survey that included self-report assessments of the study constructs. Conditional process modeling was used to test the indirect effect of loneliness on SI via the mediating effect of TB. Findings indicated a significant association between loneliness and SI that was mediated by TB. Further, impairment in self-functioning moderated the relationship between loneliness and TB, indicating that the relationship was stronger among men with greater difficulties in self-functioning. The findings are important to consider within the COVID-19 context, as they point to the need to reduce the detrimental impacts of loneliness, thereby potentially mitigating male SI.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".