Distress Concealment and Depression Symptoms in a National Sample of Canadian Men
Bibliographic record
Abstract
Men's tendency to conceal their distress has been linked with increased depressive symptoms. Although interpersonal connectedness has been associated with distress concealment and depression, it is unclear how connectedness mediates this association. The aim of the present study was to examine the mediating effects of feeling understood and loneliness-two facets of interpersonal connectedness-in the association between distress concealment and depressive symptoms in men. A sample of 530 Canadian men was selected based on age- and region-stratification that reflects the national population. Participants completed measures of depression symptoms, distress concealment, loneliness, and feeling understood. Mediation analyses were conducted. Results supported a sequential mediation model: concealing distress was associated with not feeling understood, not feeling understood was associated with loneliness, and loneliness was associated with depressive symptoms. These findings shed light on how distress concealment is associated with depressive symptoms among men. Implications for practice and theory are discussed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".