Prevalence and risk factors of cancer-related fatigue: A systematic review and meta-analysis
- PMID: 32920423
- DOI: 10.1016/j.ijnurstu.2020.103707
Prevalence and risk factors of cancer-related fatigue: A systematic review and meta-analysis
Abstract
Background: Cancer-related fatigue, one of the most frequent side-effects of cancer treatment, affects the well-being of patients. Despite the fact that the estimated prevalence and risk factors of cancer-related fatigue are widely reported, these results have not been synthesized.
Objectives: To systematically assess the prevalence of cancer-related fatigue, including stratification by fatigue degree, sex, age, therapeutic method, cancer-related fatigue scales, countries, and risk factors for cancer-related fatigue.
Design: Systematic literature review and meta-analysis.
Data sources: PubMed, Cochrane Library, Web of Science, CINAHL Plus, China Knowledge Resource Integrated Database (CNKI), Wanfang Database, Chinese Biomedical Database (CBM), and Weipu Database (VIP) were comprehensively searched for observational studies investigating the prevalence and risk factors of cancer-related fatigue from inception to March 31st, 2019.
Review methods: Original journal articles were included which met the inclusion criteria. The quality of the included studies was evaluated independently by two investigators. Meta-analysis was conducted using Stata 12.0 software package, with estimates of cancer-related fatigue from pooled using a random-effects model.
Results: In total, 2641 articles were screened and data from 84 studies involving 144,813 subjects were used in meta-analysis. The prevalence of cancer-related fatigue in individual studies varied from 14.03% to 100%. The pooled prevalence of cancer-related fatigue was 52% (95% confidence interval, CI: 48% to 56%, I2 = 99.7%, P < 0.0001). After controlling for confounding variables, the following risk factors were associated with cancer-related fatigue: poor performance status (odds ratio, OR = 6.58, 95% CI: 2.60 to 16.67, I2 = 75.2%, P < 0.0001), chemoradiotherapy (OR = 2.25, 95% CI: 1.90 to 2.67, I2 =0%, P<0.0001), female sex (OR = 2.07, 95% CI: 1.51 to 2.84, I2 = 41.2%, P<0.0001), insomnia (OR = 2.83, 95% CI: 1.22 to 6.57, I2 = 98.3%, P = 0.015), neuroticism (OR = 1.23, 95% CI: 1.05 to 1.43, I2 = 88.9%, P = 0.01), pain (OR = 2.64, 95% CI: 1.20 to 5.80, I2 = 95.3%, P = 0.016), and depression (OR = 2.23, 95% CI: 1.70 to 2.93, I2 = 98.1%, P < 0.0001).
Conclusion: The current analysis indicates an overall pooled prevalence of cancer-related fatigue of 52%. Poor performance status, chemoradiotherapy, female sex, insomnia, neuroticism, pain, and depression were identified as risk factors for cancer-related fatigue. Understanding the risk factors of cancer-related fatigue can provide the healthcare personnel with the theoretical basis for the management and treatment of the patients.
Keywords: Cancer-related fatigue; Meta-analysis; Prevalence; Risk factor.
Copyright © 2020. Published by Elsevier Ltd.
Conflict of interest statement
Conflict of interest None declared.
Similar articles
-
Prevalence and risk factors for cancer-related fatigue in women with malignant gynecological tumors: a meta-analysis and systematic review.BMC Cancer. 2025 May 5;25(1):827. doi: 10.1186/s12885-025-14210-z. BMC Cancer. 2025. PMID: 40325433 Free PMC article.
-
The efficacy of progressive muscle relaxation training on cancer-related fatigue and quality of life in patients with cancer: A systematic review and meta-analysis of randomized controlled studies.Int J Nurs Stud. 2024 Apr;152:104694. doi: 10.1016/j.ijnurstu.2024.104694. Epub 2024 Jan 12. Int J Nurs Stud. 2024. PMID: 38281450
-
The prevalence and risk factors of facial pressure injuries related to adult non-invasive ventilation equipment: A systematic review and meta-analysis.Int Wound J. 2023 Mar;20(3):621-632. doi: 10.1111/iwj.13903. Epub 2022 Jul 28. Int Wound J. 2023. PMID: 35899399 Free PMC article.
-
Prevalence and risk factors of hypertension among Hui population in China: A systematic review and meta-analysis based on 30,565 study participants.Medicine (Baltimore). 2021 May 7;100(18):e25192. doi: 10.1097/MD.0000000000025192. Medicine (Baltimore). 2021. PMID: 33950917 Free PMC article.
-
Systematic review of Buzhong Yiqi method in alleviating cancer-related fatigue: a meta-analysis and exploratory network pharmacology approach.Front Pharmacol. 2024 Nov 5;15:1451773. doi: 10.3389/fphar.2024.1451773. eCollection 2024. Front Pharmacol. 2024. PMID: 39564104 Free PMC article.
Cited by
-
Correlates of Cancer-Related Fatigue among Colorectal Cancer Patients Undergoing Postoperative Adjuvant Therapy Based on the Theory of Unpleasant Symptoms.Curr Oncol. 2022 Nov 26;29(12):9199-9214. doi: 10.3390/curroncol29120720. Curr Oncol. 2022. PMID: 36547134 Free PMC article.
-
A review of the content and psychometric properties of cancer-related fatigue (CRF) measures used to assess fatigue in intervention studies.Support Care Cancer. 2022 Nov;30(11):8871-8883. doi: 10.1007/s00520-022-07305-x. Epub 2022 Aug 24. Support Care Cancer. 2022. PMID: 36001179 Free PMC article.
-
Cancer-related fatigue and activities of daily living: lessons learned from the COVID-19 pandemic.BMC Palliat Care. 2024 Apr 27;23(1):110. doi: 10.1186/s12904-024-01437-z. BMC Palliat Care. 2024. PMID: 38678234 Free PMC article.
-
Symptom cluster among cancer survivors from a nationally representative survey: a network analysis.Support Care Cancer. 2024 May 7;32(6):333. doi: 10.1007/s00520-024-08531-1. Support Care Cancer. 2024. PMID: 38713314
-
Effects of exercise interventions on cancer-related fatigue and quality of life among cancer patients: a meta-analysis.BMC Nurs. 2023 Jun 13;22(1):200. doi: 10.1186/s12912-023-01363-0. BMC Nurs. 2023. PMID: 37312185 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous