The Effectiveness of Mindfulness-Based Stress Reduction on Catastrophizing and Pain Perception among Adolescents with Leukemia
Bibliographic record
Abstract
Background and Objective: Catastrophizing and pain perception can cause more psychological problems among adolescents with leukemia. Therefore, medical interventions are effective in reducing psychological problems among adolescents with leukemia. The purpose of this study was to determine the effectiveness of mindfulness-based stress reduction on catastrophizing and pain perception among adolescents with Leukemia. Materials and Methods: The present study was of semi-experimental design with a pre-test-post-test and control group. The statistical population of this study included all adolescents with leukemia referred to Shariati Hospital in Tehran in 2016, among whom 60 (30 in the experimental and 30 in the control group) were selected by convenience sampling method and the intervention was conducted for the experimental group. The instrument was a McGill pain questionnaire and pain catastrophizing scale. Data analysis was performed using multivariate covariance analysis and one way covariance analysis using SPSS software version 22. Results: The mean (SD) age in the experimental group was 16.1 (5) and 15.1 (4.1) in the control group. The mean (SD) score of catastrophizing in experimental group was 39.8 (10.2) in pre-test, which decreased to 32.8 (8.8) in the post-test (P<0.01). The mean (SD) score of the control group was 37.7 (5.2) in the pre-test, which was 37.8 (6.5) in the post-test; however, it was not statistically significant. The mean (SD) score of the pain perception in the experimental group in the pre-test was 37.5 (8.1), which decreased to 33.4 (9.4) in post-test (P<0.01). However, the mean (SD) score of the control group in pre-test was 36.1 (4.9) which was 35.7 (6.6) in the post-test, which was not significant. Conclusion: The study showed that the mindfulness-based stress reduction can reduce catastrophizing and pain perception among adolescents with leukemia. DOI: http://doi.org/10.22037/ch.v6i3.22660.
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 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 | 0.001 |
| 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".