Attachment, Mental Health, and Alcohol Use by Men: The Mediating Role of Cumulative Lifetime Violence Severity
Bibliographic record
Abstract
Cumulative lifetime violence (CLV) encompasses many different types and contexts of violence that occur across the lifespan and is associated with negative mental health outcomes in men; however, little attention has been paid to other factors that can influence these relationships such as attachment style. In this analysis, our focus is to understand how attachment styles directly and indirectly through CLV affect men's mental health, specifically depression, anxiety, posttraumatic stress disorder (PTSD), and alcohol use. Data from 597 Canadian men with lifetime experiences of violence who participated in our national online survey focusing on violence and health were used for mediation analysis. Results indicated that CLV severity mediated the relationship between attachment anxiety (but not attachment avoidance) and depression, anxiety, PTSD, and alcohol use. Although attachment anxiety and attachment avoidance each directly affected depression, anxiety, and PTSD, neither directly affected alcohol use. Importantly, these findings provide the first evidence that the mechanism by which anxious attachment affects alcohol use is through CLV severity. These findings highlight the importance of anxious attachment on mental health outcomes for men who have experienced CLV.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".