Effects of Endurance Training Combined With Cognitive Remediation on Everyday Functioning, Symptoms, and Cognition in Multiepisode Schizophrenia Patients
Bibliographic record
Abstract
Aerobic exercise has been shown to improve symptoms in multiepisode schizophrenia, including cognitive impairments, but results are inconsistent. Therefore, we evaluated the effects of an enriched environment paradigm consisting of bicycle ergometer training and add-on computer-assisted cognitive remediation (CACR) training. To our knowledge, this is the first study to evaluate such an enriched environment paradigm in multiepisode schizophrenia. Twenty-two multiepisode schizophrenia patients and 22 age- and gender-matched healthy controls underwent 3 months of endurance training (30min, 3 times/wk); CACR training (30min, 2 times/wk) was added from week 6. Twenty-one additionally recruited schizophrenia patients played table soccer (known as "foosball" in the United States) over the same period and also received the same CACR training. At baseline and after 6 weeks and 3 months, we measured the Global Assessment of Functioning (GAF), Social Adjustment Scale-II (SAS-II), schizophrenia symptoms (Positive and Negative Syndrome Scale), and cognitive domains (Verbal Learning Memory Test [VLMT], Wisconsin Card Sorting Test [WCST], and Trail Making Test). After 3 months, we observed a significant improvement in GAF and in SAS-II social/leisure activities and household functioning adaptation in the endurance training augmented with cognitive remediation, but not in the table soccer augmented with cognitive remediation group. The severity of negative symptoms and performance in the VLMT and WCST improved significantly in the schizophrenia endurance training augmented with cognitive remediation group from week 6 to the end of the 3-month training period. Future studies should investigate longer intervention periods to show whether endurance training induces stable improvements in everyday functioning.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".