원발성 뇌종양 환자의 수면의 질과 기분상태가 피로에 미치는 영향
The Influences of Quality of Sleep and Mood State on Fatigue in Primary Brain Tumor Patients
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Purpose: The purpose of this study was to identify the influences of sleep quality and mood state on fatigue in primary brain tumor patients. Methods: The participants were 118 patients with primary brain tumors between May 2015 and March 2016. Data were collected using questionnaires including individual and disease related characteristics, the Pittsburgh Sleep Quality Index, Linear Analogue Self-Assessment scales, and The Fatigue Scale for Cancer Patients developed by Kim Kyeong-hee (2006). Data were analyzed using descriptive statistics, Pearson correlation, and hierarchical multiple regression. Results: Fatigue had significant correlations with sleep quality (r=.55, p<.001) and mood state (r=.74, p<.001). The influencing factors for fatigue were mood state (β=.46, p<.001) was the best predictor of fatigue, followed by age (β=.17, p=.049), and performance status (β=-.19, p=.011). Conclusion: The research findings show that understanding of psychological factors such as anxiety, depression, confusion, energy and anger should be given priority for fatigue management in primary brain tumor patients. This study provides base data for managing fatigue in patients with primary brain tumors, and is expected to contribute to the improvement of the health of patients with primary brain tumor.
Abstract
Purpose: The purpose of this study was to identify the influences of sleep quality and mood state on fatigue in primary brain tumor patients. Methods: The participants were 118 patients with primary brain tumors between May 2015 and March 2016. Data were collected using questionnaires including individual and disease related characteristics, the Pittsburgh Sleep Quality Index, Linear Analogue Self-Assessment scales, and The Fatigue Scale for Cancer Patients developed by Kim Kyeong-hee (2006). Data were analyzed using descriptive statistics, Pearson correlation, and hierarchical multiple regression. Results: Fatigue had significant correlations with sleep quality (r=.55, p<.001) and mood state (r=.74, p<.001). The influencing factors for fatigue were mood state (β=.46, p<.001) was the best predictor of fatigue, followed by age (β=.17, p=.049), and performance status (β=-.19, p=.011). Conclusion: The research findings show that understanding of psychological factors such as anxiety, depression, confusion, energy and anger should be given priority for fatigue management in primary brain tumor patients. This study provides base data for managing fatigue in patients with primary brain tumors, and is expected to contribute to the improvement of the health of patients with primary brain tumor.
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