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Relationship among symptom clusters, quality of life, and treatment-specific optimism in patients with cancer

PURPOSE: There is increasing evidence that disease and therapy-related symptoms frequently co-occur in so-called symptom clusters (SCs), which may significantly impair quality of life in patients with cancer. Although psychosocial resources may play pivotal roles in maintaining or improving quality...

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Autores principales: Matzka, Martin, Köck-Hódi, Sabine, Jahn, Patrick, Mayer, Hanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018574/
https://www.ncbi.nlm.nih.gov/pubmed/29473117
http://dx.doi.org/10.1007/s00520-018-4102-8
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author Matzka, Martin
Köck-Hódi, Sabine
Jahn, Patrick
Mayer, Hanna
author_facet Matzka, Martin
Köck-Hódi, Sabine
Jahn, Patrick
Mayer, Hanna
author_sort Matzka, Martin
collection PubMed
description PURPOSE: There is increasing evidence that disease and therapy-related symptoms frequently co-occur in so-called symptom clusters (SCs), which may significantly impair quality of life in patients with cancer. Although psychosocial resources may play pivotal roles in maintaining or improving quality of life, they have been neglected in SC research. Therefore, we aim to identify SCs and their relative impact on quality of life when psychosocial resources are accounted for. METHODS: Patients with cancer (n = 304) undergoing chemotherapy or chemo-radiation therapy participated in a cross-sectional survey consisting of measures assessing symptoms, quality of life, resilience, treatment-specific optimism (TSO), and social support. Exploratory factor analyses and multiple regression analyses were used to identify SCs and significant explanatory variables of overall quality of life. RESULTS: Fatigue-pain, anxiety-depression, cancer therapy-related toxicity, and nausea-vomiting clusters were identified. In our final model, the fatigue-pain cluster (β = − 0.41, p < 0.001), nausea-vomiting cluster (β = − 0.28, p < 0.001), TSO (β = 0.21, p < 0.001), and receiving chemo-radiation treatment (β = − 0.11, p = 0.03) accounted for 44% of variance in overall quality of life. However, the identified SCs explained quality of life in patients with varying levels of TSO to a different extent. CONCLUSIONS: Our findings indicate that the TSO of patients may be a major factor to consider in managing SCs, because—depending on its level—different SCs and even clusters encompassing comparatively less distressing symptoms (i.e., cancer therapy-related toxicities) may strongly affect quality of life.
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spelling pubmed-60185742018-07-11 Relationship among symptom clusters, quality of life, and treatment-specific optimism in patients with cancer Matzka, Martin Köck-Hódi, Sabine Jahn, Patrick Mayer, Hanna Support Care Cancer Original Article PURPOSE: There is increasing evidence that disease and therapy-related symptoms frequently co-occur in so-called symptom clusters (SCs), which may significantly impair quality of life in patients with cancer. Although psychosocial resources may play pivotal roles in maintaining or improving quality of life, they have been neglected in SC research. Therefore, we aim to identify SCs and their relative impact on quality of life when psychosocial resources are accounted for. METHODS: Patients with cancer (n = 304) undergoing chemotherapy or chemo-radiation therapy participated in a cross-sectional survey consisting of measures assessing symptoms, quality of life, resilience, treatment-specific optimism (TSO), and social support. Exploratory factor analyses and multiple regression analyses were used to identify SCs and significant explanatory variables of overall quality of life. RESULTS: Fatigue-pain, anxiety-depression, cancer therapy-related toxicity, and nausea-vomiting clusters were identified. In our final model, the fatigue-pain cluster (β = − 0.41, p < 0.001), nausea-vomiting cluster (β = − 0.28, p < 0.001), TSO (β = 0.21, p < 0.001), and receiving chemo-radiation treatment (β = − 0.11, p = 0.03) accounted for 44% of variance in overall quality of life. However, the identified SCs explained quality of life in patients with varying levels of TSO to a different extent. CONCLUSIONS: Our findings indicate that the TSO of patients may be a major factor to consider in managing SCs, because—depending on its level—different SCs and even clusters encompassing comparatively less distressing symptoms (i.e., cancer therapy-related toxicities) may strongly affect quality of life. Springer Berlin Heidelberg 2018-02-23 2018 /pmc/articles/PMC6018574/ /pubmed/29473117 http://dx.doi.org/10.1007/s00520-018-4102-8 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Matzka, Martin
Köck-Hódi, Sabine
Jahn, Patrick
Mayer, Hanna
Relationship among symptom clusters, quality of life, and treatment-specific optimism in patients with cancer
title Relationship among symptom clusters, quality of life, and treatment-specific optimism in patients with cancer
title_full Relationship among symptom clusters, quality of life, and treatment-specific optimism in patients with cancer
title_fullStr Relationship among symptom clusters, quality of life, and treatment-specific optimism in patients with cancer
title_full_unstemmed Relationship among symptom clusters, quality of life, and treatment-specific optimism in patients with cancer
title_short Relationship among symptom clusters, quality of life, and treatment-specific optimism in patients with cancer
title_sort relationship among symptom clusters, quality of life, and treatment-specific optimism in patients with cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018574/
https://www.ncbi.nlm.nih.gov/pubmed/29473117
http://dx.doi.org/10.1007/s00520-018-4102-8
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