Posttraumatic stress and intimate partner relationship functioning: An examination of couple distress and the interrelation of symptomology
Bibliographic record
Abstract
Veterans suffering from posttraumatic stress (PTSD), compared to relative trauma-exposed veterans without PTSD, have more serious relationship problems. Research in the area of combat trauma-related symptoms and intimate partner relationships have to-date, mostly focused on identifying the negative outcomes of trauma but have not elaborated on how the symptoms themselves act as agents in negative relationship functioning. The purpose of this study was to identify a relationship between combat-related PTSD symptoms of insomnia/sleep dysfunction, avoidance/emotional numbing, and intimate partner distress - specifically the mechanisms by which symptoms and distress are maintained or exacerbated. A review of combat trauma and relationship theories indicated that a newly applied theory, Conservation of Resources (COR) could account for specific combat trauma symptomology, the effects of non-PTSD intimate partners’ distress, and the course of these aspects. This study predominately utilized quantitative data for exploratory correlational research. One hundred and fifteen Canadian combat veterans completed self-administered questionnaires that included demographic characteristics, supplementary questions and the study variables: PTSD assessment, dyadic adjustment, and sleep issues. Results indicated that PTSD overall is negatively related to dyadic adjustment, and that avoidance symptoms represent the most detrimental cluster of PTSD in terms of relationship functioning. Although insomnia/sleep dysfunction was not correlated to dyadic adjustment for those with PTSD, it was identified as a contributor to negative relationship functioning through supplementary responses. The study suggests a revised Canadian PTSD prevalence rate of 29%, which is noteworthy when compared to the previous PTSD prevalence rate estimation of 10%. The application of COR theory to combat veterans and relationship functioning is supported by the results of this study. Findings of this study can aid clinicians in the enhancement of couple therapies, draw attention to the need for improved deployment screening and care provisions for military members, and contribute to the breadth of empirical literature.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".