Cognitive Profiles Among Individuals With Spinal Cord Injuries: Predictors and Relations With Psychological Well-being
Bibliographic record
Abstract
Objectives To examine predictors of profiles of cognitive functioning among individuals receiving acute inpatient spinal cord injury (SCI) rehabilitation, as well as associations between their cognitive functioning and psychological well-being (life satisfaction and depression) 6 months after the baseline assessment. Design Prospective observational study design, with 2 assessments approximately 6 months apart. Setting A rehabilitation unit at a level 1 trauma hospital during acute SCI hospitalization and outpatient setting after discharge. Participants Individuals (N=89) with SCI. Intervention None. Main Outcome Measures Cognitive functioning (assessed by the Repeatable Battery for the Assessment of Neuropsychological Status), life satisfaction (measured by the Life Satisfaction Index A), and depressive symptoms (measured by the Patient Health Questionnaire-9). Results Latent profile analysis identified 3 classes of individuals with similar patterns of cognitive functioning: class1 (average levels of cognitive performance across all assessed domains; n=48), class 2 (average cognitive performance, except in recall and memory; n=23), and class 3 (low cognitive functioning across multiple domains of cognition; n=18). Fewer years of education, history of smoking, history of substance use other than alcohol, and greater postconcussion symptoms were associated with higher odds of classification in class 3 ( P<. 05). Six months post baseline, individuals in class 3 reported significantly lower levels of life satisfaction than individuals in class 1 (χ 2 (1)=5.86; P=. 045) and marginally higher depressive symptoms than individuals in class 2 (χ 2 (1)=5.48; P=. 057) . Conclusions The impact of impaired cognition during acute rehabilitation may persist after discharge and influence the psychological well-being of individuals with SCI. Identifying individuals with cognitive dysfunction and attending to modifiable risk factors and may help ameliorate maladjustment after SCI.
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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 | 0.002 |
| 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".