Sexual Dysfunction in Male Canadian Armed Forces Members and Veterans Seeking Mental Health Treatment
Bibliographic record
Abstract
INTRODUCTION: There is mixed evidence regarding how posttraumatic stress disorder (PTSD) symptom clusters are associated with sexual dysfunction (SD), and most studies to date have failed to account for potentially confounding variables. Our study sought to explore the unique contribution of PTSD symptom clusters on (a) lack of sexual desire or pleasure, and (b) pain or problems during sexual intercourse, after adjusting for comorbidities and medication usage. MATERIALS AND METHODS: Participants included 543 male treatment-seeking veterans and Canadian Armed Forces (CAF) personnel (aged <65 years), referred for treatment between September 2006 and September 2014. Each participant completed self-report measures of demographic variables, depressive symptom severity, chronic pain, alcohol misuse, and psychotropic medication usage as part of a standard clinical intake protocol. Hierarchical ordinal logistic regression analyses were used to determine the incremental contribution of PTSD symptom clusters on sexual dysfunction. RESULTS: Nearly three-quarters (71.5%) of participants reported a lack of sexual desire or pleasure and 40.0% reported pain or problems during intercourse. Regression analyses suggested that avoidant/numbing symptoms were the only symptoms to be independently associated with lacking sexual desire or pleasure (AOR = 1.10; 95% CI 1.05-1.15). None of the PTSD symptom clusters were independently associated with pain or problems during intercourse. CONCLUSIONS: Sexual dysfunction is prevalent among male treatment-seeking CAF personnel and veterans. Results suggest that PTSD symptoms are differentially associated with sexual desire or pleasure concerns. Assessing sexual function among CAF personnel and veterans seeking treatment for PTSD is critical in order to treat both conditions and improve overall functioning.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".