Effects of Pilates-Based Exercises on Functional Capacity and Mental Health in Individuals with Schizophrenia: A Pilot Study
Bibliographic record
Abstract
Background Although there is considerable evidence that exercise improves the physical and mental health of individuals with schizophrenia, the most useful exercise technique for this population is still the subject of research.Purpose The aim of this study was to investigate the effects of Pilates exercises on functional capacity and mental health in individuals with schizophrenia.Methods Twenty-three participants were not randomly assigned to either Pilates exercise group (PEG) or nonspecific exercise group (NSEG). Ten participants from each group completed the study (87% response rate). The PEG participated in a 6-week Pilates exercise training twice per week, while the NSEG participated in a nonspecific activity program. 6-Minute Walk Distance (6-MWD) was assessed for functional capacity. Mental health was evaluated using Calgary Depression Scale for Schizophrenia (CDSS), and Brief Psychiatric Rating Scale (BPRS).Results 6-MWD significantly increased (p = .025), CDSS (p = .023) and BPRS (p = .012) scores significantly decreased in the PEG compared to baseline. Inter-group comparison showed that PEG had significantly better scores than NSEG in terms of the final 6-MWD (p = .005), CDSS (p = .008) and BPRS (p = .008).Conclusion Results showed that Pilates may help improve the functional capacity and mental health of individuals with schizophrenia, but the small sample size and methodological limitations limit the interpretability of this study.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.000 | 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".