ArticleScientific reports2018
A quantile regression approach to explain the relationship of Fatigue and Cortisol, Cytokine among Koreans with Hepatitis B.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 17 citations in OpenAlex.
- Factors affecting Hemoglobin A1c in the longitudinal study of the Iranian population using mixed quantile regression.Scientific reports · 2023Article
- Mitochondrial dysfunction in a rat model and the related risk of metabolic disorders.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2023Article
- Development and Pilot Testing of a Smartphone-Based Self-Care Program for Patients with Chronic Hepatitis B.International journal of environmental research and public health · 2021Article
- Comparing quantile regression methods for probabilistic forecasting of NOScientific reports · 2021Article
- Psychometric evaluation of the Korean version of the Hepatitis B Quality of Life Questionnaire.PloS one · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fatigue is a major symptom among patients with Hepatitis B virus (HBV). However, the physiological mechanisms regarding mediate fatigue and the relationships between fatigue, cortisol and cytokines are unclear in patients with HBV. The purpose of this study was to examine the relationships between perceived fatigue, cortisol, and cytokines in Korean patients with HBV. The mean score for overall fatigue was moderate. In linear regression analyses, TNF-α was only significant as a predictor of fatigue. In quantile regression analyses, the cortisol level was significant in the 70
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