ArticleFrontiers in medicine2025
Factors affecting postdialysis fatigue among hemodialysis patients: a multi-group path analysis according to nutritional status.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparative efficacy of non-pharmacological interventions on fatigue in people undergoing hemodialysis: a systematic review and network meta-analysis.Frontiers in medicine · 2026Pooled it
- Post-Dialysis Syndrome: A Narrative Review.Kidney360 · 2026Review
- Machine learning to predict postdialysis fatigue in patients undergoing hemodialysis.Renal failure · 2025Article
- Factors Influencing Psychological Insulin Resistance Among Patients with Type 2 Diabetes in China: A Structural Equation Model Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The aim was to investigate a structural postdialysis fatigue model, to verify the factors which affect the postdialysis fatigue of hemodialysis patients, and to evaluate the moderating effects of nutritional status on postdialysis fatigue through multi-group analysis. Methods: This multicenter cross-sectional study was conducted in six blood purification centers across hospitals in Taiyuan, Shanxi, China, with a total of 1,281 hemodialysis patients recruited as participants. Data were collected using Pittsburgh Sleep Quality Index, Connor-Davidson Resilience Scale, The Social Support Rate Scale, Post-dialysis fatigue Questionnaire, The Simplified Nutritional Appetite Questionnaire, The Rome IV constipation diagnostic criteria. A multi-group structural equation modeling analysis was then conducted to test the moderating effect of nutritional status on postdialysis fatigue in hemodialysis patients. Results: The postdialysis fatigue model's fit indices were adequate. Sleep quality, resilience and social support directly influenced postdialysis fatigue (β = 0.181, -0.322, -0.200, Conclusion: Sleep quality, resilience, social support can directly affect postdialysis fatigue, and can also indirectly affect constipation through postdialysis fatigue. Malnourished hemodialysis patients are more likely to suffer from poor sleep quality, psychological resilience and postdialysis fatigue. Vigorous efforts are needed to improve nutritional status in hemodialysis patients, which ultimately might improve postdialysis fatigue and constipation.
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