ArticleCancer medicine2024
Prevalence and biopsychosocial indicators of fatigue in cancer patients.
Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Comparative efficacy of traditional Chinese medicine-based non-pharmacological therapies for managing cancer-related fatigue in lung cancer patients: a systematic review and network meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Pooled it
- Inflammatory Correlates and Prospective Associations of Cancer-Related Fatigue: A Systematic Review and Meta-Analysis.Psycho-oncology · 2026Pooled it
- Pain Predicts Next-Day Fatigue in Adolescents and Young Adults Receiving Maintenance Treatment for Acute Lymphoblastic Leukemia.Journal of adolescent and young adult oncology · 2026Article
- From traditional warming and tonifying to psychoneuroimmunology: theoretical reconstruction and clinical application of moxibustion for cancer-related fatigue.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Review
- Long-Term Fatigue After Treatment for Breast Cancer.JAMA network open · 2026Article
- Physical Activity Interventions Using Digital Health Interventions for Cancer-Related Fatigue in People With a History of Cancer: Scoping Review.Journal of medical Internet research · 2026Article
- Article
- Investigating fatigue in adults with neuroendocrine neoplasms using a biopsychosocial model.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Observational
- Construction of a predictive model for the risk of moderate-to-severe cancer-related fatigue in colorectal cancer chemotherapy patients: an interpretable machine learning approach.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Anemia and malnutrition in geriatric hospitalized patients: a cross-sectional retrospective study.BMC geriatrics · 2025Article
- Evaluation of fatigue levels of individuals with chronic diseases: from the perspective of student nurses and patients.BMC nursing · 2025Article
- Reflection on the Human Experience of Cancer-Related Fatigue.Journal of cancer education : the official journal of the American Association for Cancer Education · 2025Article
- Prevalence and biopsychosocial indicators of fatigue in cancer patients.Cancer medicine · 2024Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionSymptoms of cancer-related fatigue (CRF) can have a significant impact on patients' quality of life and treatment adherence. We aimed to investigate the relationship between CRF and multiple psychosocial and somatic indicators within a large mixed cancer sample.
methodsIn this cross-sectional study, N = 1787 outpatients with cancer were assessed for CRF, pain, anxiety, and depression using validated screening instruments. We further obtained clinical parameters (Hb, CRP, creatinine, leukocytes, ASAT, and ALAT), sociodemographic data (age, gender, income, education level, marital status, parenthood, and living area), and lifestyle factors. Multivariate linear regression models were applied to estimate the impact of each indicator on CRF.
resultsOverall, 90.6% of patients experienced some CRF, with 14.8% experiencing severe CRF. No gender difference was found in the prevalence of CRF. Patients with higher levels of pain, depressive symptoms, and lower Hb levels had significantly higher levels of CRF (p
conclusionThe present results demonstrate a high prevalence of CRF and highlight that not only somatic and psychosocial factors, but also lifestyle factors prior to diagnosis appear to be associated with the etiology and persistence of CRF. To effectively treat CRF, a biopsychosocial, personalized approach is recommended.
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