The effects of mandala coloring on fatigue, psychological <scp>well‐being,</scp> and coping with stress in patients receiving hemodialysis treatment
Bibliographic record
Abstract
BACKGROUND: Hemodialysis is an important health problem that negatively affects psychosocial status and support systems. Through practices such as mandala coloring, individuals transfer the unknowns they experience to the outside and make them visible. This study was conducted to examine the effects of mandala coloring on fatigue, psychological well-being, and factors associate with coping with stress in patients receiving hemodialysis treatment. METHODS: The design was a prospective, parallel-group controlled trial. The study was conducted in the dialysis unit of a university hospital in eastern Turkey between April 4 and October 31, 2022, with a total of 60 patients, 30 in the intervention group, and 30 in the control group. The patients in the intervention group colored mandala once a week for 2 h, for a total of 8 weeks. The data were collected face-to-face using a patient information form, a Fatigue Severity Scale, a Psychological Well-Being Scale, and a Ways of Coping Questionnaire. RESULTS: There were improvements in fatigue severity and psychological well-being over the 8-week study period in both the intervention and control groups. Scores were similar at baseline in the control and intervention groups, but better in the intervention groups compared to controls at 4 and 8 weeks for both metrics (p < 0001). Five factors from the Ways of Coping Questionnaire (self-confident approach, optimistic approach, seeking social support, helpless approach, and submissive approach) each improved during the 8-week period in the intervention group (p < 0.001). Three of these five factors improved in the control group as well. Scores for each of the five coping factors were better in the intervention group compared to controls at 4 and 8 weeks (p < 0.001). CONCLUSION: Mandala coloring improved fatigue and psychological well-being and was associated with improved patient coping strategies.
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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 | 0.000 |
| 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".