A quantile regression approach to explain the relationship of Fatigue and Cortisol, Cytokine among Koreans with Hepatitis B

Jang, Yeonsoo; Kim, Jeong Hyun; Lee, Hyangkyu; Lee, Kyung‐Hwa; Ahn, Sang Hoon

doi:10.1038/s41598-018-34842-5

Cited by 11 publications

(7 citation statements)

References 23 publications

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“…Although the Hep B Care ® program had no significant effect on perceived fatigue in the EG, their cortisol levels changed significantly. A previous study on Korean patients with the HBV reported that patients with higher fatigue levels had lower levels of cortisol [ 16 ]. This pattern of cortisol is similar to that of chronic fatigue syndrome [ 39 ].…”

Section: Discussionmentioning

confidence: 99%

“…The study outcomes were derived as follows through a literature review. Fatigue is the most frequently reported physical symptom in patients with the HBV, and cortisol is a representative biomarker associated with fatigue [ 16 ]. Anxiety and depression have also been reported as the most prevalent emotional symptoms in patients with the HBV [ 17 ].…”

Section: Methodsmentioning

confidence: 99%

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Development and Pilot Testing of a Smartphone-Based Self-Care Program for Patients with Chronic Hepatitis B

Jang

Ahn

Lee

et al. 2021

IJERPH

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The purpose of this study is to develop a smartphone-based self-care program (Hep B Care®) for patients with the chronic hepatitis B virus (HBV). To pilot test the feasibility of Hep B Care®, 63 participants with chronic HBV were recruited from an outpatient clinic at S hospital, Seoul, South Korea (experimental group [EG]: n = 30, control group [CG]: n = 33) between February and July 2016. Hep B Care® was developed based on the theory of self-care whilst having a chronic illness. During the 12-week intervention period, the application: (1) provided information about the disease, medication, nutrition, and exercise; (2) encouraged taking medication and exercise using alarms; and (3) enabled the exchange of messages between healthcare providers and patients. Salivary cortisol, fatigue, depression, anxiety, knowledge of the HBV, quality of life, and medication adherence were all measured as outcomes. Cortisol levels were significantly increased, knowledge of the HBV was improved, and the mean anxiety score was significantly decreased in the EG. Thus, Hep B Care ® partially improved health outcomes in the EG. We recommend that large trials be conducted among patients with the HBV. The smartphone-based self-care program for providing education and coaching is effective for improving knowledge and reducing anxiety among patients with the HBV.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Development and Pilot Testing of a Smartphone-Based Self-Care Program for Patients with Chronic Hepatitis B

Jang

Ahn

Lee

et al. 2021

IJERPH

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“…Fatigue, a typical symptom of hepatitis, was low-to-moderate in patients with HBV. Additionally, the characteristics of fatigue were more psychological than physical [28]. Further, Korea has a national healthcare insurance system, whereby medical expenses related to HBV treatment can be reimbursed.…”

Section: Discussionmentioning

confidence: 99%

Psychometric evaluation of the Korean version of the Hepatitis B Quality of Life Questionnaire

et al. 2019

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Purpose The purpose of this study was to conduct a psychometric evaluation of the Korean version of the Hepatitis B Quality of Life Questionnaire (K-HBQOL), which is designed to assess the quality of life of patients with the hepatitis B virus (HBV). Methods The K-HBQOL was developed by converting the original English version to Korean using a back-and-forth translation method. The translated questionnaire was distributed to 168 adults with HBV. Descriptive statistics were used to summarize the demographic characteristics of these participants. Confirmatory factor analysis and exploratory principal components analysis (CFA and PCA) were performed, applying varimax rotation and using Kaiser’s eigenvalue-greater-than-one rule to examine the factor structure. The minimum average partial rule was also used to identify the number of components. Results The original factor model was not confirmed by CFA in this sample. Six components (Psychological Well-being, Stigmatization, Anticipation Anxiety, Weakness, Vitality, and Vulnerability) were extracted by PCA, with 69.11% of the total variance explained. In this process, one component present in the original factor model (Transmission) was not found, while another component (Weakness) was extracted. Conclusions This study revealed the psychometric characteristics of the Korean version of the HBQOL for patients with hepatitis B. We suggest a study with a larger sample is needed to evaluate validity and reliability of the K-HBQOL for other Korean populations.

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“…Quantile regression has gained an increasing attention from very different scientific disciplines 8 , including financial and economic applications 9 , medical applications 10 , wind power forecasting 11 , electric load forecasting 12 , environmental modelling 13 and meteorological modelling 14 (these references are just examples and the list is not exhaustive). To our knowledge, despite its success in other areas, quantile regression has not been applied in the framework of air quality, with the exception of 15 .…”

Section: Probabilistic Forecasting With Quantile Regressionmentioning

confidence: 99%

Comparing quantile regression methods for probabilistic forecasting of NO2 pollution levels

Vasseur

Aznarte

2021

Sci Rep

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High concentration episodes for NO2 are increasingly dealt with by authorities through traffic restrictions which are activated when air quality deteriorates beyond certain thresholds. Foreseeing the probability that pollutant concentrations reach those thresholds becomes thus a necessity. Probabilistic forecasting, as oposed to point-forecasting, is a family of techniques that allow for the prediction of the expected distribution function instead of a single future value. In the case of NO2, it allows for the calculation of future chances of exceeding thresholds and to detect pollution peaks. However, there is a lack of comparative studies for probabilistic models in the field of air pollution. In this work, we thoroughly compared 10 state of the art quantile regression models, using them to predict the distribution of NO2 concentrations in a urban location for a set of forecasting horizons (up to 60 hours into the future). Instead of using directly the quantiles, we derived from them the parameters of a predicted distribution, rendering this method semi-parametric. Amongst the models tested, quantile gradient boosted trees show the best performance, yielding the best results for both expected point value and full distribution. However, we found the simpler quantile k-nearest neighbors combined with a linear regression provided similar results with much lower training time and complexity.

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A quantile regression approach to explain the relationship of Fatigue and Cortisol, Cytokine among Koreans with Hepatitis B

Cited by 11 publications

References 23 publications

Development and Pilot Testing of a Smartphone-Based Self-Care Program for Patients with Chronic Hepatitis B

Development and Pilot Testing of a Smartphone-Based Self-Care Program for Patients with Chronic Hepatitis B

Psychometric evaluation of the Korean version of the Hepatitis B Quality of Life Questionnaire

Comparing quantile regression methods for probabilistic forecasting of NO2 pollution levels

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