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Cited by 161

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The Effect of the Bonny Method of Guided Imagery and Music on the Mood and Life Quality of Cancer Patients

Burns, D. S.·2001·Journal of Music Therapy

Abstract

Cancer patients continue to experience elevated levels of emotional distress, even after cancer treatment. Elevated emotional distress negatively impacts immune and endocrine functions and decreases life quality. This study explored the effectiveness of GIM in alleviating mood disturbance and improving quality of life in cancer patients. Eight volunteers with a cancer history were randomly assigned to either an experimental or a wait-list control group. Experimental subjects individually participated in 10 weekly GIM sessions. All subjects completed the Profile of Mood States (POMS) and Quality of Life-Cancer (QOL-CA) questionnaires pretest, posttest, and at a 6-week follow-up. Individuals who participated in GIM sessions scored better on both mood scores and quality of life scores at posttest than those participating in the control group. Additionally, mood and quality of life scores continued to improve in the experimental group, even after sessions were complete. Results indicate that GIM was effective in improving mood and quality of life in these cancer patients.

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Metadata

Authors
Burns, D. S.
Venue
Journal of Music Therapy
Published
2001-03-01
Volume
38
Issue
1
Pages
51-65
ISSN
  • 0022-2917 (ISSN-L)
  • 2053-7395
OpenAlex
W1991324194
Cited by
161
References
0
FWCI
5.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Effect of the Bonny Method of Guided Imagery and Music on the Mood and Life Quality of Cancer Patients. https://app.cochat.ai/papers/10.1093/jmt/38.1.51
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Burns, D. S. (2001). The Effect of the Bonny Method of Guided Imagery and Music on the Mood and Life Quality of Cancer Patients. Journal of Music Therapy. https://doi.org/10.1093/jmt/38.1.51

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.