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Peer-reviewedCC BY 4.0Frontiers in Oncology

Factors associated with cancer-related fatigue in breast cancer patients: a systematic review and meta-analysis

Abstract

BackgroundCancer-related fatigue (CRF) remains one of the most common and persistent complications among breast cancer survivors, profoundly impairing their psychosocial well-being. Although various predictors have been proposed, existing evidence yields inconsistent findings. This study aimed to systematically synthesize multidimensional factors associated with CRF in this population, providing an evidence-based framework for identifying the individuals and tailoring early interventions.MethodsA systematic search was conducted in PubMed, Embase, Cochrane Library and Web of Science databases for studies investigating factors associated with fatigue in breast cancer patients, The search covered the period from database inception to May 3, 2026. Two researchers independently performed study screening, quality assessment, and data extraction, and statistical analyses were performed using Stata 19.0.Results16 studies involving a total of 11,984 patients were included. Some potentially relevant factors were identified: pain (OR 1.78, 95% CI 1.29–2.45), dyspnea (OR 2.01, 95% CI 1.10–3.66), anxiety (OR 1.44, 95% CI 1.12–1.86), depression (OR 1.97, 95% CI 1.49–2.60), sleep disturbances (OR 2.02, 95% CI 1.05–3.87) and BMI ≥ 30 kg/m2 (OR 1.36, 95% CI 1.05–1.75).ConclusionThe patients with cancer- related fatigue in breast cancer, pain, dyspnea, anxiety, depression, sleep disturbances (OR 2.02, 95% CI 1.05–3.87) and BMI ≥ 30 kg/m2 may be associated with fatigue and should be considered as potential related factors.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD420261432176.

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BibTeX
@article{ba2026factors,
  title = {{Factors associated with cancer-related fatigue in breast cancer patients: a systematic review and meta-analysis}},
  author = {Bairu Ba and Xiaofeng Wang and Hong Ye and Tengyue Zhang and Jing Hu and Wenlong Zhang and Jing Xuan},
  journal = {Frontiers in Oncology},
  year = {2026},
  month = nov,
  doi = {10.3389/fonc.2026.1944824},
  url = {https://www.frontiersin.org/articles/10.3389/fonc.2026.1944824},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Factors associated with cancer-related fatigue in breast cancer patients: a systematic review and meta-analysis
AU  - Bairu Ba
AU  - Xiaofeng Wang
AU  - Hong Ye
AU  - Tengyue Zhang
AU  - Jing Hu
AU  - Wenlong Zhang
AU  - Jing Xuan
PY  - 2026
DA  - 2026/11/05
JO  - Frontiers in Oncology
DO  - 10.3389/fonc.2026.1944824
UR  - https://www.frontiersin.org/articles/10.3389/fonc.2026.1944824
AB  - BackgroundCancer-related fatigue (CRF) remains one of the most common and persistent complications among breast cancer survivors, profoundly impairing their psychosocial well-being. Although various predictors have been proposed, existing evidence yields inconsistent findings. This study aimed to systematically synthesize multidimensional factors associated with CRF in this population, providing an evidence-based framework for identifying the individuals and tailoring early interventions.MethodsA systematic search was conducted in PubMed, Embase, Cochrane Library and Web of Science databases for studies investigating factors associated with fatigue in breast cancer patients, The search covered the period from database inception to May 3, 2026. Two researchers independently performed study screening, quality assessment, and data extraction, and statistical analyses were performed using Stata 19.0.Results16 studies involving a total of 11,984 patients were included. Some potentially relevant factors were identified: pain (OR 1.78, 95% CI 1.29–2.45), dyspnea (OR 2.01, 95% CI 1.10–3.66), anxiety (OR 1.44, 95% CI 1.12–1.86), depression (OR 1.97, 95% CI 1.49–2.60), sleep disturbances (OR 2.02, 95% CI 1.05–3.87) and BMI ≥ 30 kg/m2 (OR 1.36, 95% CI 1.05–1.75).ConclusionThe patients with cancer- related fatigue in breast cancer, pain, dyspnea, anxiety, depression, sleep disturbances (OR 2.02, 95% CI 1.05–3.87) and BMI ≥ 30 kg/m2 may be associated with fatigue and should be considered as potential related factors.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD420261432176.
SN  - 2234-943X
ER  -