Factors associated with emotional and behavioral outcomes in adolescents with multiple sclerosis
Bibliographic record
Abstract
BACKGROUND: Multiple sclerosis (MS) onset during adolescence has the potential to disrupt a key period of psychosocial maturation. OBJECTIVE: We aimed to examine the prevalence and risk factors associated with emotional and behavioral outcomes in adolescents with MS. METHODS: The Behavioral Assessment System for Children-2nd Edition (BASC-2) was completed by 31 adolescents with MS (mean age = 16.1 years), 31 age-matched controls, and parents of all participants. BASC-2 outcomes were compared between groups. Base rates were examined for scores falling at least one or two standard deviations below norm. Associations between BASC-2 outcomes and features of disease severity and IQ were examined. RESULTS: Youth with MS were reported by their parents to have more symptoms of depression and somatization and lower adaptive skills compared with reports by parents of controls. On the self-report, patients endorsed more problems of inattention/hyperactivity and lower self-reliance relative to controls. Behavioral concerns and reduced adaptive functioning in the MS group were associated with fatigue, poor relations with parents, and perceived social stress. Psychosocial outcomes did not associate with number of relapses, Expanded Disability Status Scale score, disease duration, brain lesion volume or IQ. CONCLUSION: Youth with MS are at risk of difficulties in behavioral and emotional health. Relations with parents emerged as a key factor influencing the emotional well-being of youth with MS, suggesting an important role for family-centered care in this population.
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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 | 0.000 | 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) | 0.001 | 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".