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Cited by 3Cancer survivorship and careCancer-related cognitive impairment studiesChildhood Cancer Survivors' Quality of Life

Assessment of Cancer-Related Fatigue Expression: Comparing the Expression of Fatigue in Patients with a History of Cancer, Patients with Other Chronic Diseases, and Healthy Individuals Evaluation de l’expression de la fatigue liée au cancer : comparant l’expression de la fatigue chez les patients atteints de cancer, chez les patients touchés par d’autres maladies chroniques et chez les individus en bonne santé

Open access
Clara, Maria Inês, Canavarro, Maria Cristina, Severina, Ana, Ramos, Susana, Rafael, Carla, Gomes, Ana Allen·2024·Psycho-Oncologie
DOI 10.32604/po.2023.044320
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Abstract

Aims: We aimed to compare cancer survivors’ fatigue expression with that of the general population and examine psychobiological factors associated with fatigue. Procedure: In this quantitative, transversal study, we analyzed clinical and sociodemographic indicators of 389 participants (68.38% females): 148 cancer survivors on active treatment, 55 disease-free survivors, 75 patients with another chronic disease, and 111 healthy individuals. Results: Fatigue was expressed dissimilarly in patients with a previous history of cancer and participants without a history of cancer. Survivors on active treatment reported significantly higher levels of fatigue than the other clinical status groups. Nonetheless, some level of cancer-related fatigue persisted, in a similar pattern, after active treatment into the survivorship phase. Disease-free survivors showed significantly lower vigor levels when compared to patients with other chronic diseases. Psychological distress and daytime sleepiness emerged as transdiagnostic factors associated with fatigue. Conclusion: Cancer-related fatigue may have a unique pattern, characterized by reduced endurance and muscle weakness. In the present study, psychological distress and daytime sleepiness are associated with cancer-related fatigue. These findings suggest the pertinence of future studies examining whether interventions targeting those factors may help manage this burdensome complaint. RÉSUMÉ Objectif: L’objectif de l’étude fut de comparer la fatigue ressentie par les patients du cancer par rapport à celle de la population en générale, ainsi que d’examiner les facteurs de risque psychobiologiques associés à la fatigue. Matériel et méthodes: Dans cette étude quantitative et transversale, nous avons analysé les indicateurs cliniques et sociodémographiques de 389 participants (68.38% de femmes) : 148 patients du cancer sous traitement actif, 55 patients dans l’après-traitement d’un cancer, 75 patients atteints d’une autre maladie chronique et 111 personnes en bonne santé. Résultats: La fatigue s’exprimait de manière différente chez les patients ayant des antécédents de cancer et chez les participants sans antécédent de cancer. Les patients sous traitement actif ont signalé des niveaux de fatigue significativement plus élevés que les autres groupes. Néanmoins, une certaine fatigue associée au cancer a persisté, dans un cadre similaire, après un traitement actif et jusqu’à la phase de survie. Les patients dans l’après-traitement d’un cancer ont montré des niveaux de vigueur significativement inférieurs à ceux des patients atteints de maladies chroniques. La détresse psychologique et la somnolence diurne sont apparues comme des facteurs transdiagnostiques associés à la fatigue. Conclusion: La fatigue liée au cancer peut avoir un cadre unique, caractérisé par une endurance réduite et une faiblesse musculaire. Dans la présente étude, la détresse psychologique et la somnolence diurne sont associées à la fatigue liée au cancer. Ces résultats suggèrent la pertinence d’études futures examinant si des interventions ciblant ces facteurs peuvent aider à gérer cette plainte pesante.

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  • The dCBT-I treatment was modeled after a well-established protocol but includes disease-specific adaptations to target survivor-specific perpetuating factors and to address factors that could interfere with treatment adherence.

    “The treatment was modeled after a well-established protocol but features disease-specific adaptations to target survivor-specific perpetuating factors and address factors that could interfere with treatment adherence. 16,33”

    From Digital Cognitive-Behavioral Therapy for Insomnia in Cancer Survivors: Protocol for a Pragmatic Clinical Trial (2024) · cites this paper as [33]

    The Discussion describes CBT-I as an evidence-supported intervention for cancer-related fatigue and suggests testing telehealth delivery, but it does not describe the design of a dCBT-I treatment. Searches for a modeled protocol, survivor-specific adaptations, and adherence factors found no passage addressing those details. Page numbers were not available in our copy. (LLM, conf=0.74)

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Research works printed but not linked: 1

  1. Davis MP, Walsh D. Mechanisms of fatigue. J Support Oncol. 2010 Jul-Aug;8(4):164-74.

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Authors
Clara, M. I., Canavarro, M. C., Severina, A., Ramos, S., Rafael, C., & Gomes, A. A.
Affiliations
University of Coimbra (PT)
Corresponding author
Clara, Maria Inês
ORCID
Venue
Psycho-Oncologie
Publisher
PiscoMed Publishing Pte. Ltd.
Published
2024
Volume
18
Issue
1
Pages
49-57
ISSN
  • 1760-4133 (ISSN-L)
  • 1778-3798
DOI
10.32604/po.2023.044320
OpenAlex
W4387464826
Cited by
3
References
40
Citations by year
2026: 1 · 2025: 1 · 2024: 1
FWCI
0.37
Type
journal article
Language
en
Open access
Licence
Locations
Psycho-Oncologie (publishedVersion, cc-by)
Topics
  • Health Sciences › Medicine › Oncology › Cancer survivorship and care
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Childhood Cancer Survivors' Quality of Life
Keywords
cancer-related fatigue, cancer survivors, chronic disease, psychological distress, daytime sleepiness, vigor, transdiagnostic factors, cancer therapy, survivorship, psychobiological factors, muscle weakness, endurance, sociodemographic factors

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