• Korean Journal of Biological Psychiatry
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• v.21 no.2
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• pp.74-80
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• 2014

Objectives More than half of the elders suffer from chronic sleep disturbances. Moreover, sleep disturbances are more prevalent in patients with depressive disorder than in community dwelling elderly. In this study, we aim to estimate the risk factors of poor sleep quality and its effect on quality of life in patients with late life depression. Methods This study included 159 depressive patients aged 65 years or older who completed Pittsburgh Sleep Quality Index (PSQI). A global PSQI score of 5 or greater indicates a poor sleeper. Structural diagnostic interviews were performed using the Korean version of Mini International Neuropsychiatric Interview (MINI). Depression was evaluated by the Korean form of Geriatric Depression Scale (KGDS). Global cognition was assessed by Mini-Mental State Examination in the Korean version of the Consortium to Establish a Registry for Alzheimer's Disease assessment packet. Quality of life was evaluated by the Korean version of Short-Form 36-Item Health Survey (SF-36). Results The frequencies of poor sleepers were 90.5% in major depressive disorder, 71.8% in minor depressive disorder, 47.1% in subsyndromal depressive disorder, and 73.0% in all types of depressive disorders. Multivariate logistic regression analysis indicated that female [odds ratio (OR) = 2.83, 95% confidence interval (CI) = 1.20-6.67] and higher KGDS score (OR = 1.13, 95% CI = 1.05-1.21) were risk factors of poor sleep quality in patients with late life depression. In the analysis of ANCOVA adjusted for age, gender, education and KGDS score, the mean scores of vitality mental health and mental component summary of SF-36 were lower in poor sleepers than in good sleepers. Conclusions Poor sleepers among patients with late life depression are very common and are associated with female and higher KGDS scores. Poor sleep quality causes a significant negative effect on mental health quality. So researchers and clinicians should be more vigilant in the evaluation and treatment of sleep disturbances in patients with late life depression.

• Korean Journal of Adult Nursing
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• v.29 no.3
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• pp.235-245
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• 2017

Purpose: Reported insomnia and decreased sleep quality are common among older adults. The purpose of this study was to identify factors contributing to insomnia and decreased sleep quality among elderly persons living within a community. The data will be verified with Actigraph which is a non-invasive measurement of rest/activity cycles. Methods: 137 participants over 65 years old were recruited from a senior welfare center. Their mean age was $74.07{\pm}5.18years$ old and majority was women (69.3%). The quality and quantity of nighttime sleep were assessed using Varren-synder-Halper Sleep Scale and a sleep log. Depression and fatigue were assessed using Geriatric Depression Scale Short Form and Fatigue Severity Scale, respectively. Pain was assessed using 11-point Numeric rating scale. An actigraph was used to verify the self-reported sleep. Results: Ninety-two participants (67.2%) reported insomnia. Sixty-eight subjects (49.6%) reported good sleep. Of the participants, 56.2% reported depression and 33.6% reported fatigue. In logistic regression, depression was related to insomnia (OR=3.09, p=.003). Sleep quality was related to depression (OR=2.13, p=.045) and fatigue (OR=2.24, p=.044). The data from the Sleep logs correlated with data obtained from the actigraph. Conclusion: Depression significantly influenced insomnia and sleep quality whereas fatigue only influenced sleep quality. Thus, depression and fatigue should be closely monitored among elderly persons with sleep disturbances.

• Journal of Society of Occupational Therapy for the Aged and Dementia
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• v.12 no.2
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• pp.47-55
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• 2018

Objective : The purpose of this study is to consider the change of hand function according to the quality of sleep and to find out a correlation among the quality of sleep and hand function, and sleep disturbing factors. Method : 23 patients who were hospitalized more than 6 months from Nov. 2017 to Jan. 2018 were tested for the quality of sleep used by sleep quality scale, for the grip strength used by a dynamometer, and for the coordination used by BBT and 9-Hole Peg test. The collected data were analyzed to implement the paired t-test and Pearson correlation coefficient. Result : In the high grade group of sleep score, the quality of sleep & BBT, and the grip strength & BBT have correlated each other; and in the medium group, only the latter has shown a correlation. In both groups, the quality of sleep and the sleep pattern have showed significant high correlation. Conclusion : When the elderly in geriatric hospitals show qualitative differences, BBT and the combination of treatment for the improvement of grip strength can improve the quality of sleep. And the sleep pattern intervention is considered to be effective to improve the quality of sleep.

• Journal of Preventive Medicine and Public Health
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• v.56 no.4
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• pp.319-326
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• 2023

Objectives: The coronavirus disease 2019 (COVID-19) pandemic has increased the workload of healthcare workers (HCWs), impacting their health. This study aimed to assess sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and identify factors associated with poor sleep among HCWs in Vietnam during the COVID-19 pandemic. Methods: In this cross-sectional study, 1000 frontline HCWs were recruited from various healthcare facilities in Vietnam between October 2021 and November 2021. Data were collected using a 3-part self-administered questionnaire, which covered demographics, sleep quality, and factors related to poor sleep. Poor sleep quality was defined as a total PSQI score of 5 or higher. Results: Participants' mean age was 33.20±6.81 years (range, 20.0-61.0), and 63.0% were women. The median work experience was 8.54±6.30 years. Approximately 6.3% had chronic comorbidities, such as hypertension and diabetes mellitus. About 59.5% were directly responsible for patient care and treatment, while 7.1% worked in tracing and sampling. A total of 73.8% reported poor sleep quality. Multivariate logistic regression revealed significant associations between poor sleep quality and the presence of chronic comorbidities (odds ratio [OR], 2.34; 95% confidence interval [CI], 1.17 to 5.24), being a frontline HCW directly involved in patient care and treatment (OR, 1.59; 95% CI, 1.16 to 2.16), increased working hours (OR, 1.84; 95% CI,1.37 to 2.48), and a higher frequency of encountering critically ill and dying patients (OR, 1.42; 95% CI, 1.03 to 1.95). Conclusions: The high prevalence of poor sleep among HCWs in Vietnam during the COVID-19 pandemic was similar to that in other countries. Working conditions should be adjusted to improve sleep quality among this population.

• Journal of Korean Academy of Nursing
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• v.37 no.7
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• pp.1108-1118
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• 2007

Purpose: The purpose of this study was to identify the effects of hand acupuncture therapy on sleep quality by means of a sleep questionnaire, polysomnography and a cerebral blood flow test in $30{\sim}59$ year old adults. Methods: The study was a sham controlled design. Twenty-two adults were assigned to the pellet stimulating group (11) or sham group (11). The pellet stimulating group received hand acupuncture therapy using New Seoam Press Pellets number 1 for 4 weeks. On the other hand, the sham group used the same Adhesive tape in terms of shape, size and quality as New Seoam Press Pellets number 1 for 4 weeks. A Transcranial Doppler Ultrasonography and Carotid Duplex Ultrasonography examination were used for evaluating cerebral blood flow. Data was analyzed using the SPSS 12.0 version program with $X^2-test$, Fisher's exact test and Mann Whitney U-test. Results: In the pellet stimulating group, subjective sleep quality significantly improved more than that of the sham group. Among the sleep indices of the polysomnography, total sleep time and sleep latency of the sham group significantly improved. The cerebral blood flow test didn't show any differences. Conclusion: These results suggest that hand acupuncture therapy is effective for subjective sleep improvement only, not polysomnographical sleep indices and cerebral blood flow.

• Journal of Korean Academy of Nursing
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• v.48 no.5
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• pp.622-635
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• 2018

Purpose: This study aimed to develop and test a structural model for sleep quality in female shift work nurses. The hypothetical model was constructed on the basis of Spielman's 3P model of insomnia and previous research related to the sleep quality of shift nurses. Methods: This cross-sectional study used structural equation modeling and recruited 285 female shift work nurses from four general and university hospitals with over 300 beds located in C and J cities in Gyeongsangnamdo. Data were collected from September 27 to October 20, 2016, and then analyzed using descriptive statistics, Pearson's correlation, and structural equation modeling. The study used SPSS/Win 18.0 and AMOS 18.0 in processing the data. Results: The final model showed good fit to the empirical data: ${\chi}^2/df=2.19$, SRMR=.07, RMSEA=.07, AGFI=.85, TLI=.91, GFI=.93, GFI=.89, NFI=.87. The factors that influenced sleep quality were sleep hygiene (${\beta}=.32$), perceived shift work status (${\beta}=-.16$), stress response (${\beta}=.16$), shift work experience (${\beta}=.15$), perceived health status (${\beta}=-.14)$, and circadian rhythm (${\beta}=-.13$) explaining 36.0% of the variance. Conclusion: The model of sleep quality of the shift work nurses constructed in this study is recommended as a model to understand and predict the sleep quality of shift work nurses. The results suggest that strategies for improving the sleep quality of shift work nurses should focus on sleep hygiene, perceived health status, stress response, circadian rhythm, perceived shift work status, and shift work experience.

• Journal of Korean Clinical Health Science
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• v.11 no.1
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• pp.1607-1615
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• 2023

purpose: In addition to evaluating the quality of sleep of college students, the effect on non-face-to-face online learning satisfaction is identified and used as basic data for improving the quality of remote lectures. Methods: From June 1 to June 24, 2022, a self-entry survey was conducted on students enrolled in the dental hygiene department of D University in Daegu. To evaluate the non-face-to-face online learning satisfaction and sleep quality of the study subjects using the lBM SPSS Statistics 21 program, ANOVA analysis was conducted on the difference between individual stress levels and non-face-to-face online learning satisfaction. The correlation between sleep quality, stress, and non-face-to-face online learning satisfaction was analyzed using Pearson's correlation coefficient. Results: The lower the quality of sleep, the higher the stress, resulting in statistically significant results (p<0.001). The higher the quality of sleep, the higher the learning satisfaction, resulting in statistically significant results (p<0.001). There was a statistically significant positive correlation between learning satisfaction and stress (r=0.591, p<0.01). Conciussions: Through the above results, in order to improve the satisfaction of non-face-to-face online learning, it is necessary to manage the individual's learning environment and health to relieve stress. Instructors also need to communicate with learners and apply teaching methods considering learners' academic abilities.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.120-128
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• 2019

Purpose: This study is a retrospective descriptive study to investigate the factors affecting sleep quality of Obstructive Sleep Apnea (OSA) patients. Methods: Data were collected from questionnaires and electronic medical records of 176 patients with obstructive sleep apnea were reviewed from 2017 to 2018. The collected data was analyzed into descriptive statistics, t-test, Pearson's correlation, and multiple regression analysis. Results: The mean age of the subjects was 49.37 years and 94.4%(n=166) had low sleep quality. The quality of sleep of the OSA patients had correlations with daytime sleepiness, and depression. The significant factors influencing quality of sleep were Gender(${\beta}=.18$, p<.004), depression(${\beta}=.50$, p<.001), dry mouth (${\beta}=.15$, p<.016), Headache(${\beta}=.17$, p<.008), explained 37.1% of the variance. Conclusion: To improve their sleep quality, required for OSA patients who have the depression, daytime sleepiness.

• Journal of the Korean Society of School Health
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• v.25 no.1
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• pp.51-58
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• 2012

Purpose: This study aims to discover the relation between the sleep duration and quality of adolescents and their body mass index. Methods: The study used data obtained through the 2009 online survey on adolescents health behaviors, targeting a total of 75,066 middle and high school students (39,612 of male students and 35,454 of female students). We first performed t-test, ANOVA and Scheffe's test and then the potential variables which was possibly related to the body mass index are determined from the tests. Using the potential variable, we performed the multiple regression analysis to finally identify the relation between the duration and quality of sleep. Results: As a result, the 39.8% of male students and the 46.5% of female students most frequently respond that the sleep duration was less than 6 hours, and 36.4% of male students and the 45.3% of female students respond that the quality of sleep was not good enough. The body mass index of both the male and the female students portionally decreases to their sleep duration, but the better quality of sleep makes their body mass index higher. Conclusion: In conclusion, the body mass index has some notable relationship with the sleep duration and quality for adolescents. It is advised to consider the sleep duration and quality in the business plans for adolescents in order for the prevention of their body mass index.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.1-5
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• 2020

As the world gradually advances to an aging society, the quality of human life is valued. Among them, 'quality of sleep' is very closely related to quality of life. Recently, Korea expanded health insurance coverage for "sleep disorders". Particularly, as the number of sleep multiple tests and prescriptions for sleep aids has increased rapidly, much attention has been focused on the related medical service environment. Therefore, this study looked at an in-depth interview of 11 hospitals to see what treatment delivery system is being established when the government applies health insurance for 'sleep disorders'. In conclusion, the organizations with the most average number of sleep polyp tests per day were found to have more sleep polyp labs (hardware) and more full-time specialists. Also, the polysomnography lab (hardware) and the specialist's full-time status (software) did not necessarily result in a "positive pressure regulator prescription" that can solve "sleep apnea" caused by "sleep ailments". Rather, it was found that the number of days of sleep multiple laboratories (hardware), the number of full-time specialists (software) or the specialty majors (software) had a greater impact. In particular, the higher the specialist's full-time personnel (software) index (=6.000), the higher the sleep-inducing agent prescription rate(=1.000), and the lower the specialist's full-time personnel (software) index (=1.000), the higher the sleep-inducer's prescription rate(= 0.010) Was low. In addition, even if the professional full-time personnel(software) index was the same (=1.000), the hospital type was lower as it was closer to the public hospital(=0.067) and higher at the specialized hospital (= 0.933). In the case of university hospitals, when the full-time specialists (software) are in the same condition (= 1.000), the frequency of use of the sleep laboratory (=1.000) and the sleep test rate (= 1.000) were all the same.