• Journal of Korean Academy of Nursing
• /
• v.43 no.1
• /
• pp.81-90
• /
• 2013

Purpose: This study was done to test structural equation modeling of health-related quality of life (QOL) of men with obstructive sleep apnea in order to identify parameters affecting QOL and provide guidelines for interventions and strategies to improve QOL in these patients. Methods: Model construction was based on 'The conceptual model of patient outcome in health-related QOL' by Wilson and Cleary, using the variables; age, physiological factors, social support, cognitive appraisal, symptoms and QOL. Participants were 201 adult male patients recruited at a tertiary university hospital in Seoul. Data were collected via questionnaires, polysomnography, and clinical records. Results: Age and symptoms directly influenced QOL. Social support and cognitive appraisal about sleep did not have a direct influence on QOL, but indirectly affected it via symptoms. QOL was lower in patients who were younger and had more severe symptoms. Symptoms were more severe for patients with lower social support and more dysfunctional cognitive appraisal. When social support was lower, cognitive appraisal was more dysfunctional. Conclusion: These results suggest it is necessary to not only manage symptoms, but also apply interventions to increase social support and cognitive appraisal about sleep in order to increase QOL in patients with obstructive sleep apnea.

• Korean Journal of Adult Nursing
• /
• v.27 no.2
• /
• pp.188-197
• /
• 2015

Purpose: The purpose of this study was to examine fatigue, sleep disturbances, and quality of life (QOL) among patients with breast cancer receiving radiotherapy. Methods: A cross-sectional, descriptive design was used. Data were collected through questionnaires distributed to 201 breast cancer patients in a hospital. The data were analyzed using SPSS 21.0. Results: The fatigue scores showed significant differences depending on exercise and duration since diagnosis. The sleep disturbance scores showed significant differences depending on duration since diagnosis. QOL scores showed significant differences depending on exercise, duration since diagnosis, and treatment site. Fatigue and sleep disturbances (r=.40, p<.001) showed statistically significant positive correlations, while fatigue and QOL (r=-.55, p<.001), and sleep disturbances and QOL (r=-.45, p<.001) showed statistically significant negative correlations. The multiple regression analysis, which was used to determine the variables influencing on QOL after radiotherapy, resulted in a significant regression model (F=23.88, p<.001), which accounted for approximately 45% of the explanatory power. Fatigue (${\beta}=-.39$, p<.001) and sleep disturbances (${\beta}=-.27$, p<.001) were revealed to adversely affect quality of life. Conclusion: The nursing intervention is necessary to reduce fatigue and sleep disturbance and to promote exercise in order to enhance QOL of patients with breast neoplasm while receiving radiotherapy.

• Journal of Korean Critical Care Nursing
• /
• v.13 no.2
• /
• pp.1-11
• /
• 2020

Purpose : The aim of this study was to compare shift satisfaction, sleep, fatigue, quality of life (QOL), and patient safety incidents between a newly implemented two-shift system and a traditional three-shift system. Methods : A total of 127 intensive care unit nurses (48 two-shift nurses and 79 three-shift nurses) working in a tertiary hospital in Seoul were recruited from January 1, 2017, to March 31, 2017. They completed a self-reported questionnaire about their work hours, shift satisfaction, sleep patterns, sleep quality, fatigue, QOL, and patient safety incidents in the past 2 weeks. Data were analyzed using SPSS version 23.0. Results : The two-shift group showed higher shift satisfaction scores compared with the three-shift group (6.93 vs. 4.37, p<.001). Sleep latency was shorter and sleep quality was better in the two-shift group compared with the three-shift group. There were no significant differences in other sleep parameters, fatigue, QOL, and patient safety incidents between the two groups. Conclusion : Although a two-shift system did not improve nurses' fatigue or QOL in this study, it may effectively serve as an alternative shift-work system that can increase sleep quality and shift satisfaction without increasing patient safety incidents.

• The Journal of Korean Physical Therapy
• /
• v.34 no.1
• /
• pp.18-25
• /
• 2022

Purpose: The purpose of this study was to identify changes in physical activity, sleep quality, and quality of life (QOL) during COVID-19 in adults by age group. Methods: An online survey was conducted on a total of 160 participants who were divided into three groups by age; young adults, middle-aged adults, and old adults. The participants responded to the self-reported assessment of the impact of social distancing during COVID-19, International Physical Activity Questionnaire (IPAQ), Pittsburgh Sleep Quality Index (PSQI), and Short Form-36 Health Survey (SF36). Descriptive statistics, analysis of variance, and Pearson's correlation were used for data analysis. Results: There were significant differences between the three age groups in physical activity (p<0.05) and PSQI (p<0.01) and a post hoc analysis showed that the young adults' group had significantly higher physical activity than the old adults' group, while the old adults' group had significantly lower scores of PSQI (better sleep quality) than the others. The young adults' group showed a significant negative correlation between the stress from social distancing and QOL (r=-0.27, p<0.05) and between PSQI and QOL (r=-0.48, p<0.05). For the middle-aged adults' group, there was a significant negative correlation between PSQI and QOL (r=-0.53, p<0.05). The old adults' group showed a significant negative correlation between the stress from social distancing and physical activity (r=-0.35, p<0.05) and PSQI (r=-0.50, p<0.05), while there was a significant positive correlation between physical activity and PSQI (r=0.30, p<0.05) and QOL (r=0.30, p<0.05). Conclusion: The results of this study could be used as basic data for the promotion of physical and mental health in the post-COVID-19 era.

• Asian Oncology Nursing
• /
• v.12 no.1
• /
• pp.84-91
• /
• 2012

Purpose: The purpose of this study was to identify relationships between quality of sleep, symptom cluster, depression, environmental disorder, and quality of life among hospitalized cancer patients. Methods: The subjects were 114 patients who underwent chemotherapy for colon cancer, gastric cancer, gynecologic cancer and breast cancer. They were recruited from the cancer center of a university hospital. Data were collected from August 4th to 30th, 2011. The questionnaires included the Korean sleep scale A (quality of sleep), MDASI-K (symptom cluster), the environmental sleep disturbing scale, Zung's depression scale, and the Korean version of EORTC QLQ-C30. The collected data was analyzed by t-test, ANOVA, multiple regression analysis using the SPSS 19.0 program. Results: Functional QOL was negatively associated with symptom QOL (r=-.798, p<.001). Symptom cluster, depression, & spouse (46.3%) were the most powerful predictors for functional QOL (46.3%) and symptom QOL (53.4%). Conclusion: It is evident that oncology nurses need to evaluate two dimensions of quality of life for cancer patients, for example, functional and symptom QOL. We recommend nurses develop specific protocols for relieving physical symptoms and alleviating depression, and furthermore test the effectiveness of them.

• Korean Journal of Adult Nursing
• /
• v.23 no.5
• /
• pp.434-445
• /
• 2011

Purpose: This study was conducted to identify the impact of the symptom cluster of pain, fatigue, sleep disturbance, depression on the quality of life (QOL) among breast cancer patients receiving chemotherapy. Methods: One hundred and thirteen patients were recruited from five hospitals in Korea. The instruments used in this study were the fatigue, depression, sleep disturbance, pain and the quality of life scale for patients with breast cancer. The influence of the symptom cluster on patients' QOL was analyzed by using multiple regression. Results: Most patients reported a moderate level of pain, fatigue, sleep disturbance and depression. Eighty percent of patients reported three of the four symptoms. Among the four symptoms, there was no correlation between pain and sleep disturbance. Quality of life was negative correlated with the four symptoms in the cluster. Symptom cluster of pain, fatigue, and depression accounted for 51.2% of variance in QOL. Conclusion: The findings supported that there is a symptom cluster that negatively influences quality of life and needs to be addressed as we are caring for patients and are promoting quality of life.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.5
• /
• pp.451-458
• /
• 2018

This study was conducted to determine the association between quality of sleep (QOL) and the general characteristics, the health-behavioral factors, and the occupational characteristics of firefighting officers. The survey was conducted in October 2016 with a self-administered questionnaire using the Pittsburgh Sleep Quality Index (PSQI) developed by Pittsburgh University, targeting 600 male firefighting officers working at five fire stations in D city. As a result, the QOL of the study subjects measured by the PSQI revealed 13.2% to be good, and 86.8% to be poor. In relation to general characteristics and health habits, the rate of the group who had poor quality sleep was significantly higher in those with a lower subjective health status, in the non-smoking group, and in the low sleep-quality group, compared to the good sleep-quality group. For occupational characteristics, the rate of those with poor quality sleep was significantly higher in groups such as the fire suppression group, the shift work group, the hard physical labor group, the group with a lower sense of satisfaction in their work, and in the group classed as unfit for the job but who were not considering quitting their jobs, compared to their respective counterparts. Multiple regression analysis revealed factors of influence with explanatory powers of 24.4% for subjective health status, alcohol use, subjective quality of sleep, career, job position, and physical labor. The results of this study suggest that the quality of sleep for firefighting officers is significantly related to general characteristics, health-behavioral characteristics, and occupational characteristics.

• Asian Pacific Journal of Cancer Prevention
• /
• v.14 no.5
• /
• pp.2909-2913
• /
• 2013

Background: The aim of this study was to determine factors affecting sleep quality of 100 patients with advanced stage lung cancer. Methods and Results: it was a descriptive study. A variety of assessment tools were used to provide sleep scores to examine the relation between adverse effects caused by the treatment (nausea, vomiting, fatigue) and sleep quality. As a result, no statistically significant relation between coughing and respiratory problems of patients, or existing depression, and average sleep quality score was found (KW:0.872, p=0.646, KW: 3.174, p=0.205, u: 441.000 p=0.916). It was revealed that nausea and loss of appetite experienced also did not affect the sleep quality score (p>0.05), whereas problems such as vomiting and fatigue did exert effects (p<0.01). Conclusions: Patients with advanced stage lung cancer suffer from sleep problems and cancer related symptoms also affect their sleep quality negatively. Nurses should plan interventions that can control symptoms such as pain, vomiting and fatigue, which affect the sleep of patients.

• 한국노년학
• /
• v.28 no.4
• /
• pp.991-1007
• /
• 2008

Purpose: The purpose of this study was to compare depression and quality of life(QOL) according to the severity of insomnia in elderly. Method: The survey participants were 463 community-dwelling adults aged 65 or older. Severity of insomnia was measured by assessing a time-length to get to sleep, the number of breaks in sleep, a time-length to get to sleep after awakening, and a usual sleep pattern. Depression and QOL was measured, respectively, a modified Zung's depression scale and SF-36. The data were collected from May to June in 2005 and analyzed using the SPSS program for descriptive statistics, ${\chi}^2$-test, t-test, and ANOVA with Scheffe test. Results: A majority of the participants(75.6%) presented mild(65.0%) or severe(10.6%) insomnia. Severity of insomnia was different depending on sex, a marriage status, and sleep patterns such as hours of sleep on average, time to go to bed, and time of awakening(p<0.05). Depression and QOL were related to the severity of insomnia(p<0.05). The elderly suffering from insomnia needs nursing interventions considering demographics and sleep patterns in oder to prevent depression and to improve QOL. Future research is in need for predicting and preventing depression and QOL in elderly.

• Sleep Medicine and Psychophysiology
• /
• v.27 no.2
• /
• pp.56-66
• /
• 2020

Objectives: In this study, the clinical characteristics of OSA patients and the quality of life before and after CPAP use were compared to determine the degree of improvement in quality of life according to CPAP use. Methods: Age, sex, height, weight, body mass index, Epworth Sleepiness Scale, Modified Mallampatti Score, Montreal Cognitive Assessment-Korean, and Pittsburgh Sleep Quality Index were compared between men and women through medical records. To understand the degree of improvement in quality of life resulting from use of CPAP, a personal telephone call was made to compare the VAS scores for quality of life before and after CPAP use. Results: In height (HT) (Z = -4.525, p < 0.001), weight (BW) (Z = -2.844, p < 0.05), sleep quality (PSQI) (Z = -2.671, p < 0.05), and arousal index (AI) (Z = -2.105, p < 0.05), there was a difference between men and women (p < 0.05). There was no difference in the remaining variables. Cross-analysis (Chi-square test) confirmed a difference between severity and sex of OSA. It has been found that there is no statistically significant order in size according to level-specific severity of OSA for PreCPAP QOL, PostCPAP QOL, CPAPUse Months, and CPAP4Hr/d (%) (p > 0.05). The difference between AHI before and after CPAP was 36.48 ± 21.54 (t = 11.609, p < 0.001) and the difference between QOL before and after CPAP was -25.43 ± 22.06 (t = -7.901, p < 0.001), both of which were significant (p < 0.001). Conclusion: Among OSA patients, there were differences in height (HT), weight (BW), sleep quality (PSQI), arousal index (AI), and severity of OSA between men and women, but the quality of life before and after CPAP was different. However, there was no difference between men and women in quality of life before and after CPAP. In addition, quality of life in OSA patients improved after using CPAP.