Psychosocial Pathways Linking Adverse Childhood Experiences to Mental Health in Recently Deployed Canadian Military Service Members
Bibliographic record
Abstract
Multiple pathways have been suggested to account for the relationship of adverse childhood experiences (ACEs) and well-being in adulthood, including interpersonal difficulties, the underestimation of one's sense of mastery, and a greater propensity to experience stressors later in life. This study was conducted to examine the association between ACEs and mental health in Canadian Armed Forces (CAF) personnel, and the possible mediating roles of social support, mastery, and combat stressors in that relationship. The study consisted of a prospective analysis involving 3,319 CAF members upon their return from an overseas deployment. Results were that ACEs were associated with poorer mental health (β = -.14, p < .001) and that approximately 42.6% of this relationship could be explained by the mediating effects of low social support, low mastery, and a greater number of combat stressors. The full model, including the covariates, ACEs, social support, mastery, and combat stressors as correlates of postdeployment mental health, was statistically significant with adjusted R(2) = .28, F(9, 3309) = 141.96, p < .001. On the whole, results suggested that social support, mastery, and life stressors may be possible targets for interventions to minimize the impact of ACEs on later mental health in military personnel.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".