The effects of leisure-based occupational therapy interventions on well-being and life satisfaction in individuals with schizophrenia: Pre–post intervention mixed-methods study.
Bibliographic record
Abstract
OBJECTIVE: While leisure activities have been shown to enhance mental well-being and social participation, there is limited research on the specific effects of structured leisure-based occupational therapy interventions on individuals with schizophrenia. This study aims to evaluate the impact of leisure-based interventions on well-being and life satisfaction in individuals with schizophrenia. METHODS: This pre-post intervention mixed-methods study involved 18 individuals diagnosed with schizophrenia. The intervention consisted of 20 group sessions over 10 weeks. Participants were assessed using the Subjective Well-Being Scale, the Satisfaction With Life Scale, and the Canadian Occupational Performance Measure (COPM). Qualitative data were collected through semistructured interviews. Quantitative data were analyzed with within-subjects statistical tests, while qualitative data were examined through content analysis. RESULTS: < .001). Semistructured interviews revealed that participants valued leisure activities for improving their mood, social connections, and personal well-being. Barriers to engagement, such as lack of time and resources, were also highlighted. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Leisure-based occupational therapy interventions may enhance well-being, life satisfaction, and occupational performance in individuals with schizophrenia. The findings suggest that structured leisure activities can serve as a valuable therapeutic tool, promoting social interaction, personal fulfillment, and mental health recovery. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".