Purpose: The purpose of this study was to assess sleep quality and to identify predictors of poor sleep quality in nursing students. Methods: The participants surveyed were 302 individuals at G College located in Kangwon-do. The participants completed the questionnaire including demographic characteristics, health behavior, and the Pittsburgh Sleep Quality Index (PSQI) for sleep quality. The BMI was calculated using height and weight. For the statistical analysis, $X^2$ test, Spearman correlation, and logistic regression were performed using the SAS window (version 9.2) program. Results: From the 302 individuals, 219 (72.5%) had poor sleep quality. The results showed significant correlations between physical activity and sleep quality, as well as between sleep duration and sleep quality. The BMI and sleep quality did not show any significant relationship. The factors affecting sleep quality were sleep latency (OR, 4.167; 95% CI, 1.406-12.344), sleep duration (OR, 6.717; 95% CI, 2.386-18.912), and sedentary hours (OR, 2.971; 95% CI, 1.095-8.064). Conclusion: The study demonstrates that poor sleep quality is common in nursing students, and intervention study is needed to improve sleep quality in nursing students. Additional studies are needed to determine the relationship between BMI and sleep quality.
Previous studies have reported an association between poor sleep and various symptoms and diseases, such as fatigue, obesity, depression, and anxiety. The effects of poor sleep may differ by age and sex. In addition, sleep characteristics and their effects may vary according to Sasang constitutional type. The aim of this study was to investigate the associations between sleep quality, fatigue, and quality of life and to assess whether these differ by constitutional type. Participants were individuals aged 40-69 years living in two Korean communities in 2012-2014. Sleep quality, fatigue, and quality of life were measured using the Pittsburgh Sleep Quality Index (PSQI), the Fatigue Severity Scale, and the 12-item Short Form Health Survey, respectively. The effects of total PSQI score and PSQI component scores were analyzed using a generalized additive model. A Korean Sasang constitutional diagnostic questionnaire was used to assess Sasang constitution. Data for 5,793 participants were analyzed. Poor sleep quality was related to greater fatigue, and lower physical and mental quality of life. The PSQI components including subjective sleep quality, sleep latency, sleep disturbances, use of sleep medications, and daytime dysfunction were associated with fatigue and physical and mental quality of life. Sleep quality was significantly lower in So-Eum compared to So-Yang and Tae-Eum. PSQI component scores for fatigue and quality of life differed significantly by Sasang constitution: for Tae-Eum, sleep latency and use of sleep medications; for So-Eum, daytime dysfunction; and for So-Yang, use of sleep medications and daytime dysfunction. The effects of different aspects of sleep quality differ by Sasang constitution. To improve sleep quality, interventions need to be tailored to constitutional type.
International Journal of Advanced Culture Technology
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제10권3호
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pp.47-56
/
2022
The purpose of this study is investigate the effects of quality of life and occupational performance on quality of sleep in college students. Data had been collected from Sep. 1 to Sep. 30, 2021. The subjects of this study were students majoring in occupational therapy at C College situated in C region. For analysis, 103 copies of questionnaire were used. As study instruments, a structured questionnaire incorporating questions about general characteristics, and measurement scales for quality of life, quality of sleep, and occupational performance evaluation were applied. Subjective sleep quality and sleep latency of study participants had lower scores than other components. According to the analysis on different quality of sleep depending on general characteristics, women had more sleep disturbances as they didn't have any part-time job. In terms of the correlation between quality of sleep and quality of life, physical health and total score (quality of life) had correlations with daytime dysfunction. With regard to influential factors on quality of sleep, rest & sleep as a domain of occupational performance and work affected quality of sleep. Students' quality of sleep will be improved if they keep regular habits of living, have rest appropriately for alleviating their stress, and do their jobs with interest and successfully according to a procedure. It is expected that the results of this study will be helpful to care for the health of would-be experts in charge of national health care.
The purpose of this study was to investigate the relationship between sleep quality and sleep duration according to individual characteristics, and the relationship between sleep quality and cold type. A total of 1998 participants aged 30-55 who participated in a community cohort study at KIOM's Oriental Medicine Data Center (KDC) was analyzed. Cold type was diagnosed with a common the Questionnaire of Cold Pattern Identification (8 items). Sleep quality was assessed by the Pittsburgh Sleep Quality Index. The participants in this study were classified into 1193 with cold type and 805 with non-cold type. The poor sleep quality was found in more women than men, and the Body Mass Index (BMI) was higher in the non-cold type. In the cold type group, average sleep quality was poor and sleep duration was short. There was a statistically significant correlation between cold score, sleep quality, and sleep duration. Cold type was related to the sleep quality. The risk of poor sleep quality increased 1.46 with increased cold type (95% CI = 1.16-1.84, p <.001). In particular, it was found that various programs to improve the quality of sleep, focusing on the cold type among personal characteristics, are needed to maintain adequate sleep to improve the sleep quality. In the future, when analyzing the relationship between cold type and sleep quality, it is thought that an attempt to derive other objective quantitative indicators is needed.
The purpose of this study was to find out the relationship between sleep physiological signals data and subjective feeling of sleep quality. Sixteen subjective were investigated and they slept on both comfortable mattress and uncomfortable mattress. Information of sleep stage is one of the most important clues for sleep quality. Polysomnography is basically the recording of sleep. The several channels of brain waves (EEG), eyes (EOG), chin movements (EMG) and heart (ECG) were monitored. Sixteen subjects spent 6 days and nights in the laboratory and the data of sleeping 7h for each of 3 nights was analyzed. Percentage of deep sleep (III and IV, sleep efficiency, WASO, stage 1 and subjective feeling of sleep quality were significantly affected with mattress types (comfortable and uncomfortable mattress). When subjects slept on comfortable beds, percentage of deep sleep and sleep efficiency were higher than those of uncomfortable bed. The percentages of wake after sleep onset and stage 1 were lower when subject slept in a comfortable bed. The subjective feeling of sleep quality agreed with the recorded sleep data also.
Purpose : The purpose of this study was to identify the degree of occupational therapist's sleep quality and examine the correlation between sleep quality and job stress. We also investigated the effects of the occupational therapist's sleep quality on job stress. Therefore, we aimed to investigate the importance of sleep quality and find a way to reduce job stress in occupational therapists. Methods : We conducted a study from November 7 to from December 23, 2022. To assess sleep quality and job stress, sleep quality of scale and Korean occupational stress scale-SF (KOSS-SF) were used. The general characteristics, sleep quality, job stress were examined using a frequency analysis and presented with descriptive statistics. The pearson correlation coefficient was used to determine, whether there was a correlation between sleep quality and job stress. To find what factors have and effect on job stress, we conducted a multiple regression analysis. A significance level of α=.05 was used to verify statistical significance. Results : First, average sleep quality score was 2.10±.19. Second, a significant correlation was found between sleep quality and job stress (p<.01). And As a result of the relationship between sleep quality sub-factors and job stress, day time dysfunction (r=.23, p<.01), restoration (r=.18, p<.05), difficulty of falling asleep (r=.38, p<.01). difficulty of awakening (r=.36, p<.01), satisfaction (r=.33, p<.01) and difficulty of maintaining sleep (r=.24, p<.05) showed a statistically significant relationship with job stress. Third, the sub-factors of sleep quality influencing job stress were difficulty of falling asleep (β =.26, p<.01), difficulty of awakening (β=.23, p<.01) and satisfaction (β=.21, p<.01). Conclusion : The results of this study, demonstrated the importance of sleep quality in affecting job stress. Therefore, follow-up studies are, necessary to develop interventions to improve, occupational therapist's sleep quality in the future.
Personality, especially neuroticism has been found related to be related with poor sleep quality. This study focused on emotion regulation, reappraisal and suppression, which can buffer or aggravate the effect of neuroticism influencing sleep quality. One hundred and forty two ordinary adults were used in this study and were recruited and required to complete a package of questionnaires including: the Eysenck personality Questionnaire/EPQ, the Emotion Regulation Questionnaire/ERQ, and the Pittsburgh Sleep Quality Index/PSQI. The result was that participants with higher neuroticism had poorer sleep qualities than those with lower neuroticism. Moreover, participants that had high neuroticism and high reappraisal had better sleep qualities. This means that there was an interaction effect of neuroticism and reappraisal on sleep quality. However, suppression did not have a moderating effect on the relation between neuroticism and sleep quality. These findings inferred that reappraisal plays an important moderating role (buffering effect) on the relationship between neuroticism and sleep quality. Reappraisal cannot only prevent people high in neuroticism from sleep problems but can also buffer symptoms of sleep disorder by treating patient's negative emotions.
Objectives The purpose of this study was to identify the effects of personality by each Sasang constitution on sleep using Positive Affect and Negative Affect Schedule(PANAS) and NEO-personality inventory(NEO-PI). Methods The subjects of this study were 2,078 people who had information on Sasang constitutional type and personality(PANAS, NEO-PI) among the data established at the Korean Medicine Data Center. Sleep time and sleep quality were investigated through self-written questionnaires. Sleep time was collected by hand-writing, and sleep quality was checked on a 4 point Likert scale. Pearson correlation analysis was conducted to see the correlation between personality and sleep in each constitutional type. Logistic regression was performed using personality as independent variables to find out how much personality affects sleep time. In order to find out how much personality affects sleep quality, regression analysis was performed using personality as independent variables. Results & Conclusions Sleep time was hardly affected by personality. As a result of Pearson correlation analysis, sleep time in all subjects did not show a significant correlation with personality. In logistic regression on sleep time as the dependent variable, no statistically significant results were obtained except for the Negative Affect(NA) in Taeeumin. Sleep quality showed a statistically significant correlation with the negative affect(NA), neuroticism(N), extraversion(E), Physical Component Summary(PCS) and Mental Component Summary(MCS). As a result of regression analysis on sleep quality as the dependent variable, neuroticism(N), negative affect(NA), positive affect(PA), and extraversion(E) were found in the factors affecting sleep quality. Besides, how much personality affected sleep quality might differ in each constitution. In all constitutions, sleep quality was affected by N, but the rank of N was different in each constitution. The sleep quality of Soyangin was not affected by E, and the sleep quality of Taeeumin was specifically affected by O.
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.
Objectives: This study was aimed to investigate the status of sleep quality and related factors among some middle and high school students in one metropolitan city, Korea. Methods: The subjects were 480 high school students and 350 middle school students. Survey questions are based on Pittsburgh Sleep Quality Index(PSQI) to measure the quality of sleep and also include factors affecting the quality of sleep. PASW Statistics 20.0(Korean version) was used to carry out analysis. Results: Noise and stress showed the statistical significance as factors affecting the quality of sleep by multiple regression analysis. Individual characteristics was related to quality of sleep in only high school student. Conclusions: This study showed that noise and stress had a great correlation with the quality of sleep. Social consciousness and policies were needed to improve the quality of sleep for middle and high school student.
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