Structured Walking and Chronic Institutionalized Schizophrenia Inmates: A pilot RCT Study on Quality of Life
Bibliographic record
Abstract
BACKGROUND: Lifestyle moderate-intensity physical activity can lower the risk of over twenty chronic health conditions, whilst inactivity reduces daily functioning and physical health of individuals living with schizophrenia. This study conducted in 2014 examines the effect of structured walking participation on QOL, psychosocial functioning and symptoms in Hospital Permai, one of the largest psychiatry institution in Asia METHOD: Chronic patients with schizophrenia (n=104) who met inclusion criteria were randomised to either a 3-month structured walking intervention or a treatment-as-usual arm. The Positive and Negative Syndrome Scale (PANSS), global functioning (PSP) and QOL (SF-36) were measured at baseline and after the 3-month interval. RESULTS: At 3 month follow-up, there were significant within group differences in QOL (SF-36), psychiatric symptoms (PANSS), and personal and social performance (PSP). There were statistically significant increase in the median SF-36 scores, with increases shown in physical functioning (p<.001), physical role limitations (p<.05), social functioning (p<.01) in the intervention group compared to treatment-as-usual group. Statistically significant reduction of median PANSS score of the intervention group were noted in positive (p<0.001) and negative (p<0.01) symptom, and general psychopathology (p<0.01) scales. Statistically significant increase in the median PSP score (p<0.01) was found in the intervention group compared with the treatment-as-usual group. Between-group differences at post intervention (favouring Intervention) were significant for PANSS positive and SF36 Physical CONCLUSION: In long stayed chronic inmates, a simple but consistent, organized walking intervention has the potential to bring improvement in functioning, reduction in psychiatric symptoms and quality of Life. The emphasis of rehabilitation should target at lifestyle redesign intervention.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".