Protective Factors for Mental Disorders and Psychological Distress in Female, Compared with Male, Service Members in a Representative Sample
Bibliographic record
Abstract
OBJECTIVE: Although military interest in promoting psychological resilience is growing, resources protective against psychopathology have been understudied in female service members. Using a representative sample of Canadian Forces personnel, we investigated whether religious attendance, spirituality, coping, and social support were related to mental disorders and psychological distress in female service members, and whether sex differences occurred in these associations. METHOD: Religious attendance and spirituality were self-reported. Coping items were taken from 3 scales and produced 3 factors (active, avoidance, and self-medication). Social support was assessed with the Medical Outcomes Study Social Support Survey. Past-year mental disorders were diagnosed with the World Mental Health Composite International Diagnostic Interview. The Kessler Psychological Distress Scale assessed distress. Multivariate regression models investigated links between correlates and psychological outcomes within each sex. For associations that were statistically significant in only one sex, sex by correlate interactions were computed. RESULTS: In female service members, inverse relations were found between social support and MDD, any MDD or anxiety disorder, suicidal ideation, and distress. No associations were found between religious attendance and outcomes, and spirituality was associated with an increased likelihood of some outcomes. Active coping was related to less psychological distress, while avoidance coping and self-medication were linked to a higher likelihood of most outcomes. Although several statistically significant associations were found in only one sex, only one sex by correlate interaction was statistically significant. CONCLUSIONS: Social support was found to be inversely related to several negative mental health outcomes in female service members. Few differences between men and women reached statistical significance. Future research should identify additional helpful resources for female service members.
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 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 | 0.001 | 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) | 0.000 | 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".