ArticleScientific reports2025
Exploring the heterogeneity of cancer-related fatigue in advanced hepatocellular carcinoma patients via latent profiles and influencing factors.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Distinct fatigue profiles and psychological mechanisms among breast cancer survivors: A latent profile and mediation analysis.Dusunen adam : Bakirkoy Ruh ve Sinir Hastaliklari Hastanesi yayin organi · 2026Article
- Prevalence and its associated factors of cancer-related fatigue among liver cancer patients: a cross-sectional study.Scientific reports · 2026Article
- Toward precision rehabilitation: a latent profile analysis of social support as a buffer against fatigue and reduced physical activity in breast cancer chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- The relationship between the latent profiles of cancer-related fatigue characteristics and exercise adherence in colorectal cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Food and nutrition literacy and diet self-efficacy among patients with liver cancer: latent profile analysis, associated factors, and an exploratory examination of gender differences.Frontiers in nutrition · 2026Article
- A latent profile analysis of cancer-related fatigue in patients with breast cancer undergoing chemotherapy and its relationship with quality of life: a cross-sectional study.Frontiers in public health · 2026Article
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6 authors.
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Abstract
Cancer-related fatigue (CRF) is a multifaceted and subjective phenomenon that significantly impacts patients on physical, emotional, and mental levels. This study aims to identify specific subtypes of Cancer-related fatigue (CRF) in patients with Hepatocellular Carcinoma (HCC) and to explore the factors influencing each subtype. This cross-sectional study enrolled 220 participants from a tertiary cancer hospital. Latent Profile Analysis (LPA) and multinomial logistic regression were conducted to identify distinct fatigue profiles and to explore the influencing factors for different categories of CRF among the patients. The analysis revealed three potential categories of CRF severity: Physical balance -Low fatigue (20.1%); Physical imbalance -Moderate fatigue (69.6%); and Physical prominent -High fatigue (10.2%). It was found that the severe insomnia the greater the probability of patients belonging to the Physical prominent -High fatigue (OR = 1.299, 95%CI: 1.188-1.419). Has partner (OR = 5.171, 95%CI: 1.739-15.377), the severe financial stress (OR = 2.570, 95%CI: 1.209-5.463) and the moderate ISI (OR = 1.212, 95%CI: 1.136-1.292) were associated with the Physical imbalance - Moderate fatigue group. Protective factors for the Physical balance - Low fatigue group included higher scores in the physical activity Index (OR = 0.930, 95%CI: 0.870-0.995), Hope Index (OR = 0.647, 95%CI: 0.552-0.758), General self-efficacy (OR = 0.874, 95%CI: 0.793-0.965), Body Mass Index (OR = 0.799, 95%CI: 0.552-0.758), and Child-Pugh A classification (OR = 0.310, 95%CI: 0.119-0.808). CRF in patients with HCC demonstrates significant heterogeneity. It is conducive to the clinical identification of CRF risk characteristics and the design of personalized intervention measures.
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