Coping strategies and personality traits among individuals with brain injury and depressive symptoms
Bibliographic record
Abstract
OBJECTIVE: The objective of this observational cohort study was to compare coping strategies and personality traits among individuals with acquired brain injury (ABI), based on their level of depression symptoms. METHODS: Participants were recruited from an ABI outpatient clinic in Ontario, Canada. Participants were selected using the following inclusion criteria: 1) diagnosed with an ABI, 2) 18 years of age, and 3) able to read and write in English. Individuals completed the Patient Health Questionnaire 9-item (PHQ-9), Acceptance and Action Questionnaire, Anxiety Sensitivity Index, Adult Dispositional Hope Scale, Big Five Inventory, Brief Coping Orientation of Problems Experienced, and Rosenberg Self-Esteem Scale. A descriptive analysis was performed for the overall sample, as well as for each subclassification of depression: none (PHQ-9 = 0-4), mild (PHQ-9 = 5-9), moderate (PHQ-9 = 10-14), and severe (PHQ-9 = 15-27). A one-way multivariate analysis of variance, with post hoc Bonferroni-corrected tests, was conducted to assess the impact of depression symptoms on coping strategies and personality traits. RESULTS: A total of 89 individuals (56.2% females) were included with a mean age of 46.6±15.1 years and a mean Glasgow Coma Scale score of 13.2±3.4. Overall, individuals were 3.5±4.3 years post injury. There was a statistically significant interaction effect between depression groups and the combined coping strategy and personality trait variables (F(36,128)=2.959, p < .001; Wilks' Λ= .167). Individuals with mild (p = .045), moderate (p = .004) and severe (p < .001) depression symptoms had greater experiential avoidance (EA) than those without depression. Those with severe depression symptoms had significantly greater anxiety sensitivity than those with no (p < 0.001), mild, (p = .004) or moderate (p = .025) depression symptoms. Overall, individuals in the no, mild, and moderate depression groups used emotion-focused strategies primarily, followed by dysfunctional strategies for coping. Conversely, those with severe depression symptoms primarily used dysfunctional strategies, followed by emotion-focused strategies to cope. All depression groups applied problem-based coping strategies infrequently. CONCLUSIONS: The use of passive coping strategies combined with increased EA behaviours among severely depressed individuals with ABI may lead to long-term negative outcomes. Programs that promote problem-based coping and reduce EA behaviours may be beneficial in reducing disability and impaired quality of life associated with depression symptoms in individuals with ABI.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".