• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.501-509
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• 2020

The purpose of this study was to provide basic information about the analysis of the changes in problem behavior, sleep quality and quality of life of the people with intellectual disability through the application of the heavy work activities. This study subjects were 10 people with intellectual disability and they participated in the this activities for 12 weeks. Through the application of heavy work activities, Korean-Adaptive Behavior Scale was used to analyze the changes in problem behavior, sleep quality assessment was used to analyze the changes in sleep quality and satisfaction with life scale was used to analyze the changes in quality of life. As the results, the decrease of problem behavior, the improvement of sleep quality and quality of life were showed. Heavy work activities should be act to decrease the problem behavior, improve sleep quality and quality of life of the study subjects. Thus, heavy work activities should be considered to apply for the people with intellectual disability.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.810-819
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• 2014

Objectives: The aim of this study was to investigate the sleep quality and depression, and relationship between sleep quality and depression of nursing students. Methods: A cross-sectional, descriptive study was conducted. The subjects were 268 nursing students from a University. Data were collected on September, 2012 by using a structured questionnaire. The data were analyzed using SPSS/WIN 19.0 program. Results: The mean score of sleep quality was 6.65, among the students, 86.6% had sleep problem. The mean score of depression was 16.89, 25.4% of the students had mild depression, and 20.5% had severe depression. Sleep quality showed no significant differences, meanwhile depression showed significant differences according to the school year, satisfaction level with nursing major and university. There was a significant relationship between sleep quality and depression. Conclusions: These results suggest that some of the nursing students have sleep problem and depression. Therefore, it is needed to develop various nursing intervention strategies to improve physical, psychological health of the nursing students.

• Journal of Oral Medicine and Pain
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• v.40 no.4
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• pp.155-162
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• 2015

Purpose: The association between pain and sleep is described as a vicious cycle and psychological distress is well known as comorbid condition in the patients with pain and sleep problems. The aim of the study was to evaluate the prevalence of self-reported sleep disturbance and its relationship to clinical and psychological profiles in temporomandibular disorder (TMD) patients. Methods: The sample consisted of 123 TMD patients (90 women and 33 men), with a mean age of $39.9{\pm}15.4years$. Self-report measures of sleep quality, pain and psychological profile were conducted via the Pittsburgh Sleep Quality Index (PSQI), the Brief Pain Inventory and the Symptom Checklist-90-Revision at the initial visit. The primary diagnosis of TMD were categorized as TMD with internal derangement without pain, TMD with joint pain, TMD with muscle pain and TMD with joint-muscle combined pain. The chi-square test, independent t-test, oneway ANOVA and multiple linear regression analysis were used for statistics. Results: The patients was grouped as good sleepers (n=32, scores of 5 and lower) and poor sleepers (n=91, scores of 6 and higher) according to the recommended cutoff point of the global PSQI score (>5). TMD patients with pain showed poor sleep quality than TMD patients with internal derangement without pain. Poor sleepers had high pain interference and elevated psychological distress. Among them, pain interference and depression were significant predictors to sleep quality. Conclusions: The results suggest that sleep disturbance is a prevalent complaint in TMD patients, and sleep problems in TMD patients are associated with pain and psychological distress.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.3
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• pp.603-610
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• 2020

The sleep measurement system is important to detect sleep disturbances as early as possible to be diagnosed and treat the diseases quickly. This paper presents design of system to measure the quality of sleep by using nine accelerometer sensors embedded in the pillow to detect the acceleration of limb movement, e.g. head movements. The participants were asked to sleep using a smart pillow for five days. While sleeping, participants are recorded using a camera on a computer. After awakening, participants were asked to fill out a post-sleep questionnaire. Spearman's correlation was performed to test the correlation of gross body movement per minute rate with post-sleep questionnaire questions. Finally, the seven score of sleep quality were tested with gross body movement per minute rate. The result is the higher gross body movement per minute during sleep represented lower sleep quality.

• Journal of Oral Medicine and Pain
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• v.40 no.2
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• pp.63-71
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• 2015

Purpose: To investigate the relationship between headache and sleep by evaluating sleep quality, daytime sleepiness, and specific features related to sleep-disordered breathing (SDB). Methods: One hundred one subjects with headache and 118 healthy controls were enrolled. To collect various information on headache attacks, headache group completed self-reported questionnaire about the characteristics of headache attacks and the migraine disability assessment (MIDAS) questionnaire. The subjective quality of sleep was evaluated in all of the subjects using the Pittsburgh sleep quality index (PSQI) and Epworth sleepiness scale (ESS). In addition, the following specific features of sleep were evaluated in 28 subjects selected randomly from each group: apnea-hypopnea index (AHI), prevalence of SDB, nocturnal oxygen saturation (SaO2), and oxygen desaturation index (ODI) as measured using a portable monitoring device. Results: The global PSQI and the prevalence of poor sleeping (global PSQI >5), ESS scores and the prevalence of daytime sleepiness (ESS score >10) were significantly higher in the headache group (both p<0.0001, respectively). The mean scores on the numerical rating scale and the MIDAS were significantly higher in the poor-sleeper group than in the good-sleeper group (p=0.0347 and p=0.0016, respectively). The global PQSI and prevalence of daytime sleepiness were significantly higher in the chronic-headache group than in the acute-headache group (p=0.0003 and p=0.0312, respectively). Conclusions: There is a significant association between headache and sleep. Especially, severity and chronicity of headache were significantly associated with sleep quality and daytime sleepiness.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.19 no.4
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• pp.434-443
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• 2012

Purpose: This study was conducted to investigate sleep patterns in nursing students as measured by an automated wireless sleep tracker and self-reported sleep scales. Methods: Data were collected from October, 2011 to May, 2012. ZQ (a symbolic number that measures the quality and quantity of sleep) was calculated from the automated wireless sleep tracker. Pittsburgh Sleep Quality Index-Korean version, Sleep scale A, and sleep satisfaction were used as self-report sleep scales. Female nursing college students (n=37) were recruited by convenience sampling. Before going to bed, they were asked to put on a head-band type sleeping sensor and to move it the next morning. Every student slept 2~4 nights with the sleep tracker. Data were collected for 86 (91.4%) of 94 nights' sleep. The students were also requested to fill in the PSQI-K, sleep scale A, and sleep satisfaction. Results: The only statistically significant correlation was between ZQ and sleep satisfaction (r=.869, p=.026). The biggest obstacle in using this device was putting on the head-band type sensor. Conclusion: Validity of the wireless sleep tracker was verified in part. The usefulness of this device in nursing research and practice was identified. Further evaluation need to be conducted with various populations.

• The Journal of Korean society of community based occupational therapy
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• v.9 no.3
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• pp.1-9
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• 2019

Objective : The purpose of this study was to verify the effect of sleep quality on activity participation in the elderly living in the community. Methods : This study was conducted on 200 elderly people using welfare institutions located in Jeollabuk-do from August 21 to September 29, 2019. Data collection was performed using the Korean version of the Pittsburgh Sleep Quality Index (PSQI-K) and the Korean-Activity Card Sort (K-ACS). The data were analyzed by descriptive statistics, independent t-test, Pearson correlation, and simple linear regression analysis. Results : The group with high quality of sleep showed significantly higher participation in instrumental activities, social activities and leisure activities than the group with low quality of sleep (p<.001). The quality of sleep was significantly correlated with instrumental activities, social activities and leisure activities (p<.01). The quality of sleep significantly affected the instrumental activities (R²=.224), social activities (R²=.142) and leisure activities (R²=.227) (p<.001). Conclusion : The quality of sleep needs to be approaches to promote the participation of elderly people living in the community, and development of an intervention program will be needed to improve quality of sleep.

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

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.112-120
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• 2019

Sleep quality among university students is important, especially for their physical and psychosocial wellbeing. This study was conducted to investigate the level of smartphone addiction and stress among university students, and to estimate the effects of those variables on sleep quality. Data were collected from August 1st to 14th, 2018 using an online self-report survey to measure demographics including daily activity and indulgence foods, smartphone addiction, perceived stress scale, and the Pittsburgh Sleep Quality Index (Korean version). Collected data were analyzed by independent t-tests, ANOVA, Pearson's correlation coefficients, and multiple regression. The results showed that smartphone addiction, stress, and sleep quality had positive correlation in each relation. Multiple regression analysis showed that the predictors of sleep quality were smartphone addiction (${\beta}=0.041$, p=.001) and stress level (${\beta}=0.177$, p=.001), and the regression equation explained 24.9% of sleep quality. Therefore, higher levels of smartphone addiction and stress were associated with lower sleep quality. Based on these results, it is necessary to reduce unnecessary use of smartphone usage, as well as to develop and apply programs for university students to improve their sleep quality.

• Korean Journal of Adult Nursing
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• v.28 no.1
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• pp.13-29
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• 2016

Purpose: This study was performed to evaluate the effects of non-pharmacological interventions on sleep disturbance amongst adults aged 55 and above. Methods: PubMed, Cochrane Library, EMBASE, CINAHL and several Korean databases were searched. The main search strategy combined terms including non-pharmacological interventions and presence of insomnia. Non-pharmacological interventions included cognitive behavioral therapy, auricular acupuncture, aromatherapy, and emotional freedom techniques. Methodological quality was assessed using Cochrane's Risk of Bias for randomized studies and Risk of Bias Assessment tool for non randomized studies. Data were analyzed by the RevMan 5.3 program of Cochrane Library. Results: Sixteen clinical trials met the inclusion criteria with a total of 962 participants. Non-pharmacological interventions was conducted for a mean of 5.5 weeks, 7.7 sessions, and an average of 70 minutes per session. The effects of non-pharmacological interventions on sleep quality (ES=-1.18), sleep efficiency (ES=-1.14), sleep onset latency (ES=-0.88), awakening time after sleep onset (ES=-0.87), and sleep belief (ES=-0.71) were significant, and their effect sizes were ranged from moderate to large. However, the effects on total sleep time and insomnia severity were not significant. Conclusion: The findings of the current study suggest that non-pharmacological interventions have a positive impact on attitudes and beliefs about sleep, sleep quality, sleep duration, and sleep efficiency. Therefore, the findings of the study provide an evidence to incorporate various non-pharmacological interventions into nursing practice to improve both sleep quality and quantity in patients with insomnia.