• 대한간호학회지
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• 제28권3호
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• pp.563-572
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• 1998

The purpose of study was to develop and validate Korean Sleep Scale A which can be easily administrated by nurses for a wide range of adult subjects. Dimensions of sleep concept were derived by literature review. Previously developed sleep sclaes were also analyzed in order to develop scale items. The Korean sleep scale A was structured as a 15 item, 4 point likert type scale. The Scale was tested an 298 female and male adult subjects after pilottest and content validation. The results showed reliability by internal consistency of Cronbach's α=.75 Construct validity was tested by factor analysis and known group technique. Factor analysis showed 4 factors-sleep pattern, sleep evaluation, sleep result, and cause of sleep disturbance. These four factors explained 55.9% of total variance. Correlations between factors ranged from .15-.32. There was correlation among Korean Sleep ScaleA score, Verran and Snyder-Halpern(VSH) Sleep Scale score, and sleep satisfaction scale score, r=.71(p=.00), r=.51(p=.03), respectively, These study results partially support reliability, construct validity, and criterion related validity of Korean Sleep Scale A. Further validation study is required with other subjects and other settings.

• 수면정신생리
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• 제2권1호
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• pp.82-90
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• 1995

Objectives : Insomnia is significantly influenced by the pre-sleep arousal, self efficacy, sleep hygiene, depression and anxiety. The authors tried to explore how these factors are related with the clinical features of sleep. Methods : Fifty three patients diagnosed as insomnia by DSM-IV criteria were studied. They filled up the pre-sleep arousal scale(PSAS), sleep efficacy scale(SES), sleep hygiene awareness and practice scale, BDI, and state and trait anxiety scales. Results: 1) The mean values of sleep-related variables were as follows : Sleep latency,136.89 minutes ; frequences of awakening during a night, 2.28 ; minutes to get back to sleep, 42.70 ; total sleep time, 180.19 minutes ; duration of illness, 72.00 months. 2) The mean scores of scales were as follows : PSAS(cognitive), 22.40 ; PSAS(somatic), 17.32 ; SES, 20.16 ; sleep hygiene knowledge, 25.96 ; caffein knowledge, 59.78 ; sleep hygiene practice, 42.12 ; BDI. 18.2 ; state anxiety, 41.24 ; trait anxiety ; 44.50. 3) In the subjects with superimposed depression, the mean frequency of awakening during a night and the mean pre-sleep arousal scale score were higher than in those without depression. 4) Frequency of awakening were correlated positively with a PSAS(a tight tense feeling in your muscle) and sleep hygiene awareness. PSAS(cognitive) were correlated positively with a PSAS(somatic). BDI correlated positively with a PSAS item(a jittery, nervous feeling in your body)and a SES item (not allow a poor night's sleep to interfere with daily activities). Anxiety scales were correlated positively with sleep hygiene practice scale sleep, and PSAS were correlated negatively with SES. Conclusions : The mean scores of PSAS, SES, sleep hygiene awareness and practice scale, BDI, state and trait anxiety scales of insomniacs were correlated either positively or negatively in insomnia patients. These factors seem to contribute to the development and maintainence of insomnia.

• 한국임상보건과학회지
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• 제3권2호
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• pp.354-360
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• 2015

Purpose. The purpose of this study was conducted to identify college students' sleep type and awareness of sleep. Methods. We researched 250 students in a college using the Korean Translation of Composite Scale(KtCS) and awareness of sleep questionnaire. Results. The sleeping hour of college students was 395.28 minute in average. The research showed that the biggest reason for the lack of sleep is using the computer, mobile and watching TV(22.6%), and most of them said that the lack of sleep is causing drowsiness during the daytime( 29.2%). For the questions asking when they feel drowsy during the daytime, most of them forcing themselves to stay awake(29.2%) and they caught up on sleep on the weekend(32.5%). Conclusions. Therefore college students to keep relevant sleep time and to know about the importance of the sleep.

• 기본간호학회지
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• 제19권4호
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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.

• 성인간호학회지
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• 제29권3호
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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.

• 대한간호학회지
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• 제50권5호
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• pp.646-657
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• 2020

Purpose: The purpose of this study was to identify the quality of sleep in novice and experienced shift work nurses and compare the factors associated with their quality of sleep. Methods: We analyzed the data of 192 and 256 novice and experienced nurses, respectively. The quality of sleep, sleep hygiene, job stress, and fatigue were measured using Insomnia Severity Index, Sleep Hygiene Practice Scale, the Korean Occupational Stress Scale, and Fatigue Severity Scale. Data were analyzed using SPSS 25.0 to calculate descriptive statistics and logistic regression. Results: Sleep quality was lower in experienced nurses (12.55 ± 5.71) than in novice nurses (11.18 ± 5.78). Fatigue was more severe in experienced nurses (4.47 ± 1.13) than in novice nurses (4.23 ± 1.12). In the logistic regression, factors related to sleep quality in novice nurses were sleep hygiene (odds ratio; OR = 1.06, p < .001) and fatigue (OR = 2.49, p < .001). Factors related to sleep quality in the experienced nurses were also sleep hygiene (OR = 1.04, p = .001) and fatigue (OR = 1.53, p = .012). Conclusion: Sleep quality of experienced nurses is lower than those of novice nurses. Factors associated with sleep quality in novice and experienced nurses are equally identified as sleep hygiene and fatigue. Therefore, personal efforts to improve sleep hygiene, such as providing comfortable sleep environment, are needed. Furthermore, organized efforts to decrease fatigue, such as constructing a working environment with a bright light at night and providing a fatigue-decreasing program that includes meditation, are required.

• 한국임상보건과학회지
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• 제2권3호
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• pp.176-187
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• 2014

Purpose. The purpose of this study was to identify the factors affecting quality of sleep and sleep disturbance among inpatient. Methods. A descriptive correlational study was conducted Participants were 200 inpatient in a hospital located in B city. A structured questionnaire was used for data collection. Collected data were analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson's correlation, and stepwise multiple regression. Result. Hospitalized patient's score of sleeping quality was 38.26 on an overall scale of 60, indicating it to be higher than 'Medium (30 points). Almost hospitalized patient in this study suffer from sleep disturbances. As results of univariate analyses, Educational level, Departments, Why hospitalized, Insomnia / depression, Chronic Disease, Scale of pain, physical symptoms, environmental factors, emotional factors, and sleep promoting behavior, disturbed sleep among hospitalized. However, the result of stepwise multiple regression analysis identified that physical symptoms, environmental factors, emotional factors, sleep promoting behavior, and Why hospitalized disturbed sleep and were significant score of sleeping quality for hospitalized and these sleep disturbance factors accounted 46.8% of variance of sleeping quality among hospitalized. Conclusion. These findings suggest that hospitalized patients with poor sleep quality should have their health carefully screened for physical symptoms, environmental factors, emotional factors, sleep promoting behavior, and why hospitalized. In addition, we recommend the development of a nursing program for improving sleep quality.

• 성인간호학회지
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• 제15권2호
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• pp.296-304
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• 2003

Purpose: This study is to study sleep disorder, sleep pattern, and depression in adult women, and to offer basic data for a program of the improvement of women's health and nursing intervention. Method: A structured questionnaire was carried out from September 1, 2001 to October 30, 2001 on the subject of 441 females, who are above 18 years old and lived in Seoul. This research tool measured insomnia with APA's insomnia scale(1994), sleep pattern and sleep disorder factors scale(Shin et al(1999)'s), and depression with Radloff's CES-D scale (1977). The data were analyzed with a SPSS program for descriptive statistics, ${\chi}^2-test$, and t-test. Result: The result were as follows; 1) 35.1% of all participants have insomnia. 2) Sleep disorder group appeared shorter($50.98{\pm}29.41min$.) than normal group($73.03{\pm}38.7min$.) in daytime sleepiness(p=0.001). 3) Factors of sleep disorder were stress(76.6%), worry(55.6%), without reason(39.6%), and noise outside(37.4%). 4) In relation between sleep disorder and depression, group with sleep disorder($20.20{\pm}11.06$) marked higher depression score than normal group($14.25{\pm}8.81$)(p<0.0001). Conclusion: Based upon these finding, sleep disorder in adult women was influenced by psychological factors, group with sleep disorder showed a higher depression score than normal group, and which indicated correlation with sleep disorder and depression. This study shows that nursing intervention on women's sleep disorder and depression is needed and further research be done to verify the results.

• 기본간호학회지
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• 제12권2호
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• pp.247-254
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• 2005

Purpose: This study was done to examine the sleep pattern of ICU patients, as well as characteristics of, and factors related to sleep disturbances, and state anxiety. It was done to provide the basic data fur effective nursing interventions to improve quality of sleep for these patients. Methods: The participants were 104 patients who were admitted to the surgical ICU in a hospital in Seoul. To measure sleep patterns, the Verran and Snyder-Halpern Sleep Scale and the Sleeping Scale developed by Oh et al.(1998) were used. Characteristics of sleep disturbances were measured using the Sleep characteristics scale developed by Park(1999). To measure factors related to sleep disturbances, thirty items developed by Oh(1998) were used. Results: There was no statistically significant difference in the sleep patterns according to the general characteristics of the patients. The characteristics of sleep disturbances showed statistically significant differences in general and specific characteristics of sleep patterns but there was no statistically significant difference according to the general characteristics of the patients. There were significant negative correlations between factors related to sleep disturbances and general and specific characteristics of sleep patterns but there were no statistically significant difference according to the general characteristics of the patients. Conclusion: The results showed that the majority of patients staying in the surgical ICU experienced sleep disturbances and that the physical factor was the major factor of sleep disturbances.

• 여성건강간호학회지
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• 제15권2호
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• pp.108-120
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• 2009

Purpose: This study aimed to explore the subjective sleep quality of depressed and non-depressed mothers in the late postpartum period and to determine the relationship with their health promoting behaviors, family functioning, parenting stress. Method: A non-probability sample of 128 mothers completed a self-administered questionnaires at 4-6weeks postpartum. The Edinburgh postnatal Depression Scale (EPDS) and Pittsburgh Sleep Quality Index were used to measure mother's experiences of depression symptoms and sleep. Related factors of sleep quality were measured by the Korean Family Functioning Scale, Health Promoting Lifestyle Profile, and Parenting Stress Index. The data was analysed using t-test, one-way ANOVA, and the Pearson's correlation coefficients. Result: The results indicated that the depressed mothers (EPDS$\geq$ 10) had poorer sleep quality than the non-depressed mothers(EPDS < 10), reported shortened sleep duration, and experienced more daytime dysfunctions. Depressed mothers who had no job, did not drink coffee, and were primipara tended to report poorer sleep quality. There were significant correlation between poorer sleep quality and lower health promoting behaviors, higher family intimacy and lower family communication, and higher parenting stress among depressed mothers. Conclusion: Our findings support the view that depressed mothers' experiences of poor sleep are much higher than non-depressed mothers and multi-faced. Nurse professionals should screen for sleep problems in the depressed mothers with a different biopsychosocial and behavioral aspect from the non-depressed mothers in the late postpartum period.