• 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.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.169-177
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• 2020

The purpose of this study is to identify the effects of stress and sleep quality on depression during clinical practice of nursing students. The subjects of the study were third and fourth graders who experienced clinical practice for more than a semester among nursing students at C University in one region. A total of 107 people were analyzed. Most of the nursing students experienced more than moderate stress and depression during clinical practice, and the quality of sleep was low. During clinical practice, the stress of nursing students showed a weak correlation with the quality of sleep(r=.393, p<.001), and depression showed a strong net correlation with stress(r=.588, p<.001), the quality of sleep(r=.591, p<.001). Factors affecting depression during clinical practice were stress and the quality of sleep. Therefore, effective management methods that can relieve the stress of nursing college students during clinical practice and improve the quality of sleep and active nursing strategies that can prevent depression should be sought.

• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.1109-1121
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• 2022

As the demand for quality sleep increases in modern society, the importance of sleep technology has increased. Recently, development of sleep environment improvement products and research on the user's sleep improvement have been activated. Representatively, user sleep pattern analysis research is being conducted through the existing polysomnography, but it is difficult to use it in the sleep environment of daily life. Therefore, in this paper, we propose a system design that can provide a customized deep sleep service to users by detecting sleep disturbance factors in a motion bed environment. In order to improve the user's sleep satisfaction, a logistic regression-based sleep pattern analysis model is proposed and accuracy and significance are verified through experiments. And to improve user's sleep satisfaction, we propose a logistic regression-based sleep pattern analysis model and verify accuracy and significance through experiments. The proposed system is expected to improve the user's sleep quality and effectively prevent and manage sleep disorders.

• Research in Community and Public Health Nursing
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• v.31 no.4
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• pp.472-480
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• 2020

Purpose: This study identified the effects of chronic disease number, quality of sleep and, serum serotonin concentration on the elderly's depression in order to provide basic data for the development of intervention program to effectively prevent and manage depression of the elderly living in the community. Methods: The study surveyed 207 people aged 65 or older living in the community. The general characteristics of the subjects, the number of chronic diseases, the quality of sleep (PSQI-K), the hematological test (Serotonin) and the depression (K-GDS) were statistically analyzed using SPSS/WIN 23.0. Results: It was shown that the elderly's depression differed significantly depending on the number of chronic diseases, the quality of sleep, and serum serotonin concentration, and that the variable that most affected depression was the quality of sleep. Next, the number of chronic diseases and serum serotonin levels were the variables affecting the depression of the elderly. Conclusion: In order to prevent and manage the depression of the elderly in the future, treatment and education for diseases and depression should be provided to the subjects. In particular, nursing interventions are needed to improve the quality of sleep for the elderly. Health care programs should also be provided, such as providing nutritional supplements to provide serotonin and increasing daytime activities.

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.409-415
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• 2024

This study aims to investigate the effecst of stress and health care patterns on sleep qualtity of college students in three regions. The data was collected from September 7 to December 8, 2023, and 454 samples of data were used for analysis. Data was analyzed by descriptive statistics, Pearson's correlation, and multiple regression anlysis. The results of this study are as follows; Firstly, 42.3% of the subjects spent an average of 30 minutes to less than 1 hour in sunbathing, 37.7% of the subjects walked more than 7,000 steps a day on averag, 35.5% of the subjects did not do moderate aerobic exercise at all, 63.9% of the subjects had more than 1 hour of blue light exposure before going to sleep, and the majority of subjects' sleep quality was 'not sleeping well' (74.0%). Secondly, factors that affect the quality of sleep were found to be grade, average daily walking steps and stress. Through this results, it is necessary to make efforts to increase walking and manage stress which affect the quality of sleep for college students.

• Journal of Korean Biological Nursing Science
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• v.23 no.2
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• pp.151-158
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• 2021

Purpose: The purpose of this study was to investigate sleep quality in older adults in nursing home with objective data collection. Methods: Participants included 74 older adults in nursing homes in Korea aged 65 years or above. Data were collected using a wearable device (Fitbit), salivary melatonin level and Sleep Disorder Inventory (SDI). The Pearson correlation coefficient was calculated to examine whether there was any correlation between sleep-related variables such as Total Sleep Time (TST), Rapid Eye Movement (REM) sleep, shallow sleep, deep sleep, salivary melatonin level and SDI. Results: There were distortion of sleep structure, as TST comprised short REM sleep (15.93±5.47%), long shallow sleep (74.18±8.08%) and short deep sleep (9.89±5.03%). Also, salivary melatonin levels were low (15.06±7.77 pg/mL). Moreover, we found than melatonin was significantly associated with TST (r = .251, p= .044), REM sleep (r= .294, p= .020) and deep sleep (r= .391, p= .002). But there was no correlation between SDI and other sleeprelated variables. Conclusion: These findings highlight that insufficient sleep structure is associated with the salivary melatonin level among older adults in nursing home. We suggest developing programs to promote sleep quality of older adults in nursing homes.

• Journal of the Korea Convergence Society
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• v.8 no.3
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• pp.141-150
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• 2017

The purpose of this study was to identify relationship among the depression, social support and quality of sleep in elderly insomnia patients. A total of 143 patients with insomnia diagnosed according to DSM-IV criteria. Quality of sleep, depression, and social support were measured using a self structured questionnaire and participant's medical records were reviewed for obtaining their clinical information. Quality of sleep was positively associated with depression(r=.255, p<.05), and negative correlation with social support(r=-.270, p<.001). The significant factors for quality of sleep were information support(${\beta}=-0.406$, p<.05) and affectionate support(${\beta}=-0.525$, p<.05). These factors explained 13.2% of the variance in quality of sleep. The elderly patients suffering the insomnia need the nursing interventions considering information support and affectionate support in order to improve sleep quality.

• Journal of Sasang Constitutional Medicine
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• v.34 no.3
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• pp.41-49
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• 2022

Background Abdominal obesity, a major public health concern, is related to many health problems. In addition, it is influenced by individual characteristics. We investigated sleep quality and physical activity (PA) as risk factors for abdominal obesity, according to the Sasang constitutional medicine. Methods In this cross-sectional study, we analyzed data from 5,221 community-based participants. Sleep quality and PA were measured using structured questionnaires, and abdominal obesity was classified according to waist circumference. Sasang constitution (SC) was classified as Taeeumin (TE), Soeumin (SE), or Soyangin (SY) type, using an established SC questionnaire. Chi-square test and logistic regression analysis were performed to access the association of sleep quality and PA with abdominal obesity in individuals stratified according to the SC types. Results The percentage of poor sleep quality and inactive PA was the highest in the SE type, and the higher prevalence of abdominal obesity was found in the TE type. After adjusting for variables, inactive PA was associated with abdominal obesity in the TE type (OR=1.694, 95% CI=1.42-2.021), and in the SE type, abdominal obesity was associated with poor sleep quality (OR=1.688, 95% CI=1.091-2.611) and low PA (OR=2.127, 95% CI=1.163-3.89). Moreover, the combination of these two factors were also significantly associated with abdominal obesity in the TE and SE types. Conclusion Abdominal obesity was associated with sleep quality and PA, and these results were different in each SC type. Taking various associated lifestyles and individual characteristics in consideration may contribute to better management of abdominal obesity in clinical practice.

• Sleep Medicine and Psychophysiology
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• v.23 no.2
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• pp.68-76
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• 2016

Objectives: To find evidence that sleep is necessary for normal brain function, thus indicating that declines in both sleep quality and quantity are related to worse performance of many daily tasks and deteriorated physical functions. The present study investigates the relationships of balance control and reaction time with sleep quality. Methods: 58 healthy (male 20, female 38) volunteers with informed consent participated in this study. The Self-reported Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality and relevant factors, and the subjects were divided into groups A (PSQI < 5) and B ($PSQI{\geq}5$) based on this index. Static balance control and reaction time to visual stimuli were conducted to assess their relationship with sleep quality. Results: Group B exhibited excessive daytime sleepiness significantly more often compared to group A. Static balance control did not markedly change relative to sleep quality, but reaction time and error to visual stimuli were significantly increased in group B compared to group A. Conclusion: These findings indicate that a decline in sleep quality can result in delayed reactions, as well as decreased accuracy of these reactions. They also suggest that low sleep quality may be associated with changes in physical functions, including balance control through reduced selective attention.

• Journal of the Korean Society of School Health
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• v.34 no.2
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• pp.107-114
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• 2021

Purpose: The aim of this study was to investigate the factors influencing eating attitudes in female nursing students. Methods: A cross-sectional study was conducted on 121 university students in 2016. Data was collected using self reported questionnaires asking about circadian rhythm (Morningness-Eveningness Questionnaire), daytime sleepiness (Epworth Sleepiness Scale), sleep quality (Pittsburgh Sleep Quality Index), and eating attitudes (Eating Attitudes Test-26). Stress resistance was measured with a brain quotient test. The data were analyzed with a t-test, ANOVA, Pearson's correlation analysis and linear regression using SPSS 22.0. Results: Eating attitudes were associated with daytime sleepiness, sleep quality, and stress resistance of the right hemisphere. Among these, daytime sleepiness and sleep quality had a significant effect on eating attitudes. Conclusion: The results of this study suggest that sleep should be taken into account when developing interventions for preventing eating disorders in female nursing students.