Study on the intervention effect of mindfulness-based stress reduction on postoperative cognitive dysfunction and psychological resilience in lung cancer patients
Bibliographic record
Abstract
Background Postoperative cognitive dysfunction and psychological problems seriously affect the quality of life and recovery of lung cancer patients. As an emerging psychological intervention method, mindfulness-based stress reduction (MBSR) has been widely recognized and applied in the medical field. Objectives Evaluating the effectiveness of MBSR as an intervention for postoperative cognitive dysfunction and psychological resilience in lung cancer patients. Methods A total of 86 patients who underwent lung cancer surgery in our hospital from January 2022 to December 2023 were enrolled in this study. The research subjects were divided into the control group and the research group by using the method of random number table, each with 43 cases. The control group used conventional care, while the research group used mindfulness-based stress reduction. Differences in outcome indicators between the two groups were assessed through the relevant assessment tools, with statistically significant differences defined as a p -value of < 0.05. Results Before the intervention, there were no significant differences in cognitive functioning, psychological resilience, self-efficacy, cancer-induced fatigue, and sleep quality scores between the two groups ( p > 0.05). After 8 weeks of intervention, Montreal Cognitive Assessment (MoCA), Connor-Davidson Resilience Scale (CD-RISC), and General Self-Efficacy Scale (GSES) scores were elevated in both groups, and in the research group, the MoCA scores (26.23 ± 1.45 vs. 25.05 ± 1.17, p < 0.001), the CD-RISC total score (66.26 ± 8.27 vs. 61.79 ± 7.93, p = 0.012), and GSES score (30.19 ± 3.27 vs. 26.37 ± 2.31, p < 0.001) were significantly higher than those of the control group. In addition, Piper Fatigue Scale score (PFS) and Pittsburgh Sleep Quality Index (PSQI) scores decreased in both groups after the intervention. Behavioral fatigue (4.02 ± 1.28 vs. 4.61 ± 1.37, p = 0.045), emotional fatigue (3.28 ± 1.39 vs. 3.93 ± 1.40, p = 0.033), somatic fatigue (3.81 ± 1.30 vs. 4.47 ± 1.37, p = 0.026), and cognitive fatigue (4.07 ± 1.39 vs. 4.72 ± 1.37, p = 0.031) were significantly lower in the research group than in those in the control group, as was the total sleep quality score (8.63 ± 1.59 vs. 11.12 ± 1.31, p < 0.001). Conclusion MBSR can effectively improve postoperative cognitive function, enhance psychological resilience, and alleviate cancer-induced fatigue, and sleep disorders in lung cancer patients.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".