The role of problem solving appraisal and support in the relationship between stress exposure and posttraumatic stress symptoms of military spouses and service member partners
Bibliographic record
Abstract
Using a stress process lens, this paper considers the interrelationship between individual and family-level stress exposures and military spouse resources, including problem-solving appraisals and problem-solving support (PSS), and their associations with posttraumatic stress symptoms (PTSS) among both partners in military marital dyads. The study employs data from the Millennium Cohort Family Study, a longitudinal survey of married military dyads, with an initial panel of 9,872 spouses enroled from 2011 to 2013. A structural equation model explored the associations between service member and spouse childhood maltreatment exposure, nonmilitary and military stressors, as well as interactions with spouse resources on self-reported PTSS among both service member (SM) and spouse (SP). Among our findings, spouse childhood maltreatment muted later self-reported problem-solving appraisal and support. Spouse resources, in turn, had both protective (problem-solving appraisal) and promotive (problem-solving support) effects on PTSS for both service members and spouses. These findings emphasise the central role of spouses in military families, as more psychological resources among spouses appeared to buffer against the deleterious effects of stress exposure on both their own and their partners mental health.
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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 | 0.001 | 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".