Effects of dual-task exercises on cognitive status, disease activity and quality of life in childhood-onset systemic lupus erythematosus
Bibliographic record
Abstract
OBJECTIVE: Many patients with childhood-onset systemic lupus erythematosus (cSLE) suffer from cognitive dysfunction that seriously affects their quality of life, attention, visual and speech memory, motor function, reaction speed and motor perception and physical activity. This study aims to investigate the effects of dual-task (DT) exercises on cognitive status, disease activity and physical function of children with cSLE. METHOD: 30 children with cSLE were included. During intervention sessions (2 days a week for 16 weeks), DT exercises were applied to all children having cSLE. The mental status of the patients by the Montreal Cognitive Assessment (MoCA), pain status by the McGill-Melzack Pain Questionnaire, disease activity by the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI)-2K, physical activity by the Childhood Activity Assessment Index and International Physical Activity Questionnaire (IPAQ) and steps number recorded. RESULTS: McGill-Melzack pain scores and MoCA scores (42.70±16.85 and 20.86±3.89, respectively) were significantly improved after the intervention (36.53±16.55 and 23.73±2.72, respectively) (p<0.05). Additionally, IPAQ median metabolic equivalent scores (3171.73±3185.69) were significantly increased after the intervention (5592.40±6228.61; p=0.01). Lupus disease activity score (SLEDAI-2K) decreased from 2.79±3.20 to 2.18±2.23 with the implementation of DT; however, this was not statistically significant (p>0.05). CONCLUSIONS: DT exercises can play a crucial role in enhancing cognitive status and physical function of patients with cSLE. There is limited research examining the effects of DT exercises on cognitive status, particularly in patients with cSLE. TRIAL REGISTRATION NUMBER: NCT05984316.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".