Purpose Patients with hepatocellular carcinoma may experience poor sleep quality following Transarterial Chemoembolization (TACE). This study aimed to identify factors influencing sleep quality in patients undergoing transarterial chemoembolization. Methods The study participants comprised 49 patients who underwent TACE and 45 nurses who cared for them. Patient data were collected through a face-to-face survey before and after TACE, as well as a review of electronic medical records. Data from nurses were collected using an online survey. Results The mean sleep quality score of patients with hepatocellular carcinoma undergoing TACE was 5.04±1.76. Sleep quality was negatively correlated with the number of antipyretics used (r=-.31, p=.029), anxiety (r=-.40, p=.004), postembolization syndrome (r=-.30, p=.034), and fatigue (r=-.63, p<.001), and positively correlated with the nurse’s perception of patient’s fatigue (r=.45, p=.001). In multiple regression analysis, fatigue (β=-.47, p=.001) and the number of antipyretics used (β=-.33, p=.005) explained 43.5% of the variance in patients’ sleep quality. Conclusion The sleep quality of patients undergoing TACE was found to be relatively low. Fatigue affects sleep quality, with more fatigued patients exhibiting poorer sleep quality. Therefore, nurses must pay attention to patient fatigue and anxiety and provide more comfortable nursing care.
PURPOSE To provide basic data for the health management of adults with prolonged fatigue, demographic characteristics, stress, sleep quality, and metabolic syndrome were compared between groups with and without prolonged fatigue. METHODS Data of 370 adults (197 with Prolonged Fatigue [PF] and 173 without PF) from the 2014~2016 database of Korea Medicine Data Center were used. Fatigue, stress and sleep quality were measured with the revised Chalder Fatigue Scale, Psychosocial Well-being Index-Short Form, and Pittsburgh Sleep Quality Index, respectively. Metabolic syndrome was diagnosed according to the National Cholesterol Education Program Adult Treatment Panel III criteria. RESULTS First, regarding demographic characteristics, there were significant differences in occupation, smoking, and Body Mass Index (BMI) between groups with and without PF. More of the participants with PF than those without PF were employed, and smokers. They were also more likely to be obese than the participants in the group without PF. Second, there were significant differences between the groups in terms of stress and sleep quality; the participants with PF showed higher stress and lower sleep quality than those without PF. Finally, the prevalence of metabolic syndrome was found to be higher in the participants with PF than those without PF. CONCLUSION Considering the characteristics of the participants with PF, it is necessary to develop nursing programs to improve stress, sleep quality, and metabolic syndrome to reduce fatigue. These kinds of nursing programs are particularly necessary for people who are smokers, obese and employed.
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PURPOSE This purpose of this study was to identify the factors related to the health related quality of life among institutionalized elders. METHODS The subjects were 247 elders institutionalized among one of the four nursing homes in Busan. Data were collected through interview with four standardized questionnaires from August to October, 2008. Questionnaires were related to health related quality of life (SmithKline Beecham's Quality of Life scale, SBQoL), quality of sleep(Pittsburgh Sleep Quality index, PSQI), activity of daily living (Katz ADL Index), and depression (Geriatric Depression Scale Short Form Korea, GDSSF-K). Data were analyzed for descriptive analysis, t-test, one-way ANOVA, Pearson's correlation coefficient, and stepwise multiple regression by using SPSS/WIN 17.0 program. RESULTS The mean HRQoL in the subjects was 6.62 +/- 0.91. Percentage of the respondents reporting sleep disorders were 72.5% and 27.1% reported being vulnerable to depression. The significant predictors of the HRQoL were sleep quality, activity of daily living (ADL), level of education, and depression. The factors accounted for 28.8% of variance in the health related quality of life of institutionalized elders. CONCLUSION Sleep quality, activity of daily living, and depression need to be considered as the important control factors for improving the health related quality of life in the institutionalized elders.
PURPOSE The purpose of this study was to identify the research trends and instruments for assessment of sleep quality in Korea. METHODS 66 quantitative research reports published from 2000 to March 2009 in Korea were selected from 5 databases: RISS4U, KISS, KISTI, DBpia, and the National Assembly Library and were analyzed according to criteria such as publication years, type of journal, participants, study fields, research design, participants, key words and instruments for assessment. RESULTS Research in sleep quality has been rapidly increasing in recent years. More than half of the research analyzed was conducted in nursing. The majority of research methods were survey and correlational research. Patients with chronic illness and the elderly were the major subjects in those researches. Most research was performed based on hospitals and communities. The types of variables tested for their relation and influence on sleep quality were quite limited. With respect to the instrument used for assessing sleep quality, most studies did not consider whether or not the validity of their instrument had been established. CONCLUSION It is recommended to conduct clinically applicable interventional research with an experimental design and to develop a reliability and validity established sleep quality instrument for Koreans.
PURPOSE The purpose of this study was to identify the relationship of fatigue and quality of sleep in patients with cancer. METHOD The data was collected from January to February 2001. Study objects were recruited K university hospital in Busan, Korea. Their fatigue was measured using the Revised Piper Fatigue Scale developed by Piper et. al(1998), and quality of sleep was measured using Quality of Sleep Questionare by Oh et. al(1998). RESULT 1) The fatigue score was mean 114.80+/-34.88(range: 22-220). The sub dimension that showed behavior/severity score at 33.70+/-13.89, affective score at 24.23+/-3.33, sensory score at 27.74+/-12.51, and cognitive/mood score at 29.11+/-3.71. And sleep quality score was mean 37.32+/-8.18. 2) There was a significant difference in religion(F=4.157, P= .008), present therapy(F=2.536, P= .043), past therapy(F= 6.625, P= .000), major caregiver(F=3.133, P= .028), and change of weight(F=7.965, P= .006), according to general characteristics in the fatigue in patients with cancer. 3) There was a significant difference in present pain(t=-2.103, P= .037) and change of weight(F=5.484, P= .005), according to general characteristics in the sleep quality in patients with cancer. 4) There was a significant negative correlation between fatigue and quality of sleep(r=- .340, P= .000). CONCLUSION Patients with cancer experience in fatigue. Increase in fatigue are associated with decreases in quality of sleep. Nurses must provide patients with nursing care about the occurrence of fatigue and interventions to deal with sleep disturbance.