Family risk factors are related to warfighter brain health: A dyad study.
Bibliographic record
Abstract
PURPOSE/OBJECTIVE: This study aimed to explore family risk factors for chronic neurobehavioral symptoms in service members and veterans (SMVs) with traumatic brain injury (TBI). RESEARCH METHOD/DESIGN: = 72) completed 13 family risk factor measures assessing physical, psychological, and social health, and family functioning. The number of neurobehavioral measures that were clinically elevated (≥ 60T) were summed and used to classify SMVs into three outcome groups: (a) none/few symptoms (0-1 elevated scores), (b) several symptoms (2-3 elevated scores), and (c) many symptoms (4-8 elevated scores). RESULTS: SMVs in the many symptoms group had family members with significantly higher scores on nine family risk factor measures compared to family members of SMVs in the none/few symptoms group and two family risk factors compared to family members of SMVs in the several symptoms group. SMVs in the several symptoms group had family members with higher scores on three risk factor measures compared to family members of SMVs in the none/few symptoms group. Family member Anger was the most significant predictor of the total number of SMV elevated scores followed by family functioning, together accounting for 26.9% of the variance. CONCLUSIONS/IMPLICATIONS: An important and unique addition to the literature was the finding that a range of risk factors in the warfighter's family environment were strongly associated with clinically elevated chronic neurobehavioral symptoms following a TBI of any severity. More attention to the well-being of family members and their role in warfighter recovery and return to duty following a TBI are required. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".