Fatigue self-management behaviors in patients with advanced cancer: a prospective longitudinal survey
Open accessAbstract
PURPOSE/OBJECTIVES: To explore the fatigue self-management behaviors and factors associated with effectiveness of these behaviors in patients with advanced cancer. . DESIGN: Prospective longitudinal interviewer-administered survey. . SETTING: Royal Brisbane and Women's Hospital in Queensland, Australia. . SAMPLE: 152 outpatients with metastatic breast, lung, colorectal, and prostate cancer experiencing fatigue were recruited. . METHODS: Patients were surveyed on three occasions. MAIN RESEARCH VARIABLES: Fatigue self-management behavior (perceived effectiveness, self-efficacy, and frequency), medical and demographic characteristics (sites of primary cancer and metastasis, comorbidity, performance status), social support, depression, anxiety, and other symptoms were assessed. . FINDINGS: The participants reported moderate levels of fatigue at baseline and maintained moderate levels at four and eight weeks. On average, participants consistently used about nine behaviors at each time point. Factors significantly associated with higher levels of perceived effectiveness of fatigue self-management behaviors were higher self-efficacy, higher education level, and lower levels of depressive symptoms. . CONCLUSIONS: The findings of this study demonstrate that patients with cancer, even those with advanced disease, still want and are able to use a number of behaviors to control their fatigue. Self-management interventions that aim to enhance self-efficacy and address any concurrent depressive symptoms have the potential to reduce fatigue severity. . IMPLICATIONS FOR NURSING: Nurses are well positioned to play a key role in supporting patients in their fatigue self-management.
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Patients with greater self-efficacy are more likely to believe that their fatigue is adaptable, and consequently, are more persistent in their efforts to alleviate their fatigue, and as such lower their negative illness perceptions and improve their health-related quality of life.
“Potentially, those patients with greater self-efficacy are more likely to believe that their fatigue is adaptable, and consequently, are more persistent in their efforts to alleviate their fatigue, and as such lower their negative illness perceptions and improve their health-related quality of life.34,35”
From Exploring the dynamic interconnectedness of protective and perpetuating factors of cancer-related fatigue (2023) · cites this paper as [34]
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Experimental — accuracy not yet measuredAttempts to control and being caught up in internal experience related to cancer-related fatigue lead to high levels of anxiety and depression, which cause high alert of cancer-related fatigue and sustained distress.
“Attempts to control and being caught up in the internal experience related to CRF lead to high levels of anxiety and depression,17 which cause the high alert of CRF, bringing about sustained distress during the cancer trajectory.18”
From Effects of Acceptance and Commitment Therapy on fatigue interference and health-related quality of life among patients with advanced lung cancer: A pilot randomized controlled trial (2022) · cites this paper as [17]
The Discussion (page not provided) reports that depressive symptoms and fatigue often co-occur in patients with advanced cancer and suggests a possible relationship through fatigue self-management. It does not say that attempts to control internal experience cause anxiety or depression, or that these produce heightened alertness to fatigue and sustained distress. (LLM, conf=0.82)
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- Authors
- Chan, R., Yates, P., & McCarthy, A.
- Affiliations
- Queensland University of Technology (AU)
- Venue
- Oncology nursing forum
- Publisher
- Oncology Nursing Society (ONS)
- Published
- 2016-11-01
- Volume
- 43
- Issue
- 6
- Pages
- 762-771
- ISSN
- 0190-535X (ISSN-L)
- 1538-0688
- OpenAlex
- W2347026567
- Cited by
- 40
- References
- 44
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 6 · 2023: 7 · 2022: 6 · 2021: 2 · 2020: 2 · 2019: 7 · 2018: 5 · 2017: 2
- FWCI
- 2.50
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Oncology nursing forum (publishedVersion)
- PubMed (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Griffith Research Online (submittedVersion, other-oa)
- Faculty of Health; Institute of Health and Biomedical Innovation
- Funders
- National Comprehensive Cancer Network
- Queensland University of Technology
- Medical Research Council
- National Health and Medical Research Council (1070997)
- National Cancer Institute
- Topics
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Health Sciences › Health Professions › Pharmacy › Nursing care and research
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- cancer-related fatigue, fatigue self-management, advanced cancer, self-efficacy, depressive symptoms, social support, metastatic breast cancer, metastatic lung cancer, metastatic colorectal cancer, metastatic prostate cancer
- MeSH terms
- Adult, Aged, Aged, 80 and over, Breast Neoplasms, Fatigue, Female, Humans, Longitudinal Studies, Lung Neoplasms, Male, Middle Aged, Prospective Studies, Prostatic Neoplasms, Quality of Life, Queensland, Self Care, Colorectal Neoplasms
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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