Effectiveness of Guided Imagery Relaxation on Levels of Pain and Depression in Patients Diagnosed With Fibromyalgia
Bibliographic record
Abstract
AIM: The aim of this study was to evaluate the effects of guided imagery as a nursing intervention for pain management and depression in patients diagnosed with fibromyalgia. BACKGROUND: Many studies support the use of guided imagery to improve patient outcomes. Guided imagery has been used for different purposes and it is thought to be an effective intervention for people suffering from nonmalignant pain. DESIGN: A 2-group quasi-experimental study was conducted during 8 weeks by the University of Nursing in Almeria (Spain). METHODS: Patients diagnosed with fibromyalgia aged 18 to 70 years (n = 60) were randomly assigned to a guided imagery group (n = 30) or a control group (n = 30). The outcomes measures were scores for pain with the McGill Pain Questionnaire long form (MPQ-LF) and the Visual Analogue Scale (VAS) and depression with the Beck Depression Inventory and the VAS for depression. The effects were examined at baseline, postintervention (4th week), and at the end of the study (8th week). RESULTS: Treatment efficacy was analyzed by using a t test for paired samples. Temporal changes in the scores were examined by using a 2-way repeated-measures analysis of variance. The treatment group reported statistically significantly lower levels of pain (P < .046) and depression (P < .010) than the control group at the week 4 evaluation. A statistically significant effect on pain as measured by the daily VAS diary was also found in the experimental group. At week 8, no significant differences were found for pain. CONCLUSION: Patients diagnosed with fibromyalgia may benefit from this nursing intervention in terms of relieving pain and depression. Guided imagery relaxation therapy could be incorporated as part of fibromyalgia treatment to promote health among people with fibromyalgia. RELEVANCE TO CLINICAL PRACTICE: Guided imagery as a nursing intervention can alleviate pain and depression in patients diagnosed with fibromyalgia.
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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 | 0.002 | 0.011 |
| 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".