• Korean Journal of Adult Nursing
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• v.21 no.1
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• pp.34-42
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• 2009

Purpose: The purpose of this study was to identify the quality of sleep and its influencing factors on the institutionalized elderly. Methods: The respondents were 145 institutionalized elderly in Daegu and a structured questionnaire was used for data collection, which was conducted from February 10 to 28, 2007. The questionnaire was the Yi(2004) quality of sleep scale. All the information was collected through face-to-face interviews, using the questionnaire. The data were analyzed by SPSS/WIN 12.0. Results: The results of this research were as follows: First, the mean for the quality of sleep in the institutionalized elderly was 83.92. Second, in the subscales of the quality of sleep scale, the mean for daytime dysfunction was 40.35; for restoration after sleep it was 10.43; for difficulty in falling asleep it was 11.00; for difficulty in getting up it was 8.88; for satisfaction with sleep it was 8.62; for difficulty in maintaining sleep it was 4.75. Third, the factors influencing the quality of sleep were economic status, perceived health status, and pain. Conclusion: Based upon the findings above, this study provides useful information that could assist in improving the quality of sleep among institutionalized elderly, and indicates that nursing intervention is needed.

• Journal of Preventive Medicine and Public Health
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• v.55 no.2
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• pp.173-181
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• 2022

Objectives: Anxiety disorder is among the most prevalent mental illnesses among adolescents. Early detection and proper treatment are important for preventing sequelae such as suicide and substance use disorder. Studies have suggested that sleep duration is associated with anxiety disorder in adolescents. In the present study, we investigated the association between sleep quality and anxiety in a nationally representative sample of Korean adolescents. Methods: This cross-sectional study was conducted using data from the 2020 Korea Youth Risk Behavior Web-based Survey. The Generalized Anxiety Disorder-7 questionnaire was used to evaluate anxiety. The chi-square test was used to investigate and compare the general characteristics of the study population, and multiple logistic regression analysis was used to analyze the relationship between sleep quality and anxiety. Results: In both sexes, anxiety was highly prevalent in participants with poor sleep quality (adjusted odds ratio [aOR], 1.56; 95% confidence interval [CI], 1.43 to 1.71 in boys; aOR, 1.30; 95% CI, 1.19 to 1.42 in girls). Regardless of sleep duration, participants with poor sleep quality showed a high aOR for anxiety. Conclusions: This study identified a consistent relationship between sleep quality and anxiety in Korean adolescents regardless of sleep duration.

• Journal of Korean Biological Nursing Science
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• v.20 no.1
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• pp.30-37
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• 2018

Purpose: The purpose of this study was to examine the relationship between sleep quality and stress among nursing students. Methods: A cross-sectional study was conducted with 94 nursing students from a University in Seoul. Participants completed questionnaires and the data were analyzed using t-test, ANOVA, and Pearson correlation coefficients. Results: The mean score of sleep quality was $6.93{\pm}2.66$ among nursing students and 81.9% had a sleep problem. The mean score of stress was $18.61{\pm}4.84$. Sleep quality was significantly different by clinical practice days per week, subjective physical health status, and subjective mental health status. Stress levels were significantly different by subjective physical health status, subjective mental health status, social relationship satisfaction, and satisfaction levels of nursing major and university. A significant relationship between sleep quality and stress (r= .45, p< .001) was found, meaning that a lower quality of sleep was significantly correlated with higher stress level. Conclusion: The results indicated that most nursing students had sleep problems and stress. Therefore, interventions are needed to be developed to lower the level of stress and increase the quality of sleep among nursing students.

• Korean Journal of Occupational Health Nursing
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• v.28 no.1
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• pp.36-43
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• 2019

Purpose: The purposes of this study were to investigate sleep quality and the related factors among clinical nurses. Methods: Data were collected from 208 nurses in general hospitals through self-report. Pittsburgh Sleep Quality Index (PSQI), Korean Epworth Sleepiness Scale (KESS), Insomnia Severity Index (ISS) were used. The data were analyzed t-test, ANOVA, $Scheff{\acute{e}}$ test, and multiple regression using the SPSS 20.0 program. Results: The mean scores of the subjects were $7.58{\pm}3.61$ on daytime sleepiness, $9.93{\pm}6.22$ on insomnia, and $7.29{\pm}3.05$ on sleep quality. The sleep quality in clinical nurses significantly influenced by insomnia (${\beta}=.55$, t=8.14, p<.001), daytime sleepiness (${\beta}=.16$, t=2.83, p=.005), and work satisfaction (${\beta}=-.15$, t=-2.35, p=.020). The three variables explained 55.9% of variance of sleep quality (F=10.73, p<.001). Conclusion: Sleep quality was influenced by daytime sleepiness, insomnia, and job satisfaction. To improve sleep quality, hospitals managers or leaders need to provide sleep promotion programs for preventing daytime sleepiness and insomnia.

• Journal of Sasang Constitutional Medicine
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• v.29 no.1
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• pp.40-49
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• 2017

Objectives Sleep duration and sleep quality are closely related to obesity, however there are few studies considering the Sasang constitution. This study is to investigate the relationship between sleep status and obesity according to Sasang constitution. Methods This cross-sectional research studied 2,672 participants (1,293 men and 1,379 women) using the Korean Medicine Data Center (KDC) of the KIOM. Sasang constitution was diagnosed by KS-15 questionnaire. Obesity was divided into two categories: general obesity was defined as Body Mass Index(BMI) ${\geq}25kg/m^2$, and abdominal obesity was defined as waist circumference ${\geq}90cm$ in men and ${\geq}85cm$ in women. Sleep quality was assessed using the Pittsburgh Sleep Quality Index. Results The distribution of the subjects was 56.9% for Taeumin and 43.1% for non-Taeeumin., Poor sleep quality increased both BMI and waist circumference in Taeeumin. In men Taeeumin, sleep duration was correlated with BMI, and sleep quality was correlated with waist circumference. The prevalence of obesity was significant difference according to sleeping duration in men Taeeumin, it was the highest at 6 hours of sleeping time. Conclusions Sleep duration and sleep quality was associated with obesity in Taeeumin. Especially, in men Taeeumin, adequate sleep duration was an important factor for prevention and treatment of obesity.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4467-4474
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• 2011

The purpose of this study was to examine the factor of the quality of elderly women's sleep. The subjects in this study were 198 elderly women who were at the age of 60 and up. One instrument used to assess their quality of sleep was Buysse, et. al.(1989)'s Pittsburgh Sleep Quality Index(PSQI), and the other used to check their urinary incontinence was Jackson, et. al.(1996)'s Urination Symptom Inventory. The collected data were analyzed by the statistical package SPSS 18.0. The elderly women got $7.09{\pm}4.29$ in the quality of sleep of the PSQI, and 67.7 percent suffered from sleep disorders. Among the subfactors of the PSQI, their subjective quality of sleep was low, and the quality of sleep during, sleep latency was low as well. And their sleep disturbance was great. In contrast, the effectiveness of their habitual sleep was relatively good, and they didn't take medicine such as a sleep pill a lot, and their functional sleep disorder in the daytime wasn't great. There were differences in the quality of sleep according to their education, financial state, self-rated health status and family relations, and whether they worked out on a regular basis or not made a difference to that as well. No differences were found according to age, religion, occupation and having a coffee or not. There was a positive correlation between their quality of sleep in the PSQI and urinary incontinence(r=.51, p=.000). Out of the subfactors of the PSQI, the sleep disturbance factor was most closely linked to urinary incontinence(r=.465, p=.001). Finally, urinary incontinence and subjective health status were identified as the variables that exerted a statistically significant influence on the quality of sleep. Those variables made a 31% prediction of it.

• Research in Community and Public Health Nursing
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• v.32 no.4
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• pp.497-505
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• 2021

Purpose: The study aimed to identify the effects of sleep hygiene (use of caffeine, alcohol, night eating syndrome, stress, and coping styles), social network, and smartphone-related factors on quality of sleep in young adults. Methods: This was a descriptive research design. Participants completed a questionnaire on evidence-based variables including caffeine intake, alcohol consumption, social network, night eating syndrome, stress, coping styles, and smartphone-related factors. Stepwise multiple regression was used for data analysis to identify factors that influenced the participants' quality of sleep. This study included 288 young adults in South Korea. Results: This study identified the factors affecting quality of sleep in young adults. Their average weekly sleep duration was 6.86 hours with low sleep quality, indicated by a score of 59.34 points (range 17-100). The predictors of sleep quality were sleep mood, sub-items of night eating syndrome, effects of pain over the last four weeks, and social networks, which explained 33% of the variance. Conclusion: Sleep-induced diseases in young adults could be prevented by identifying sleep mood, pain, and social networks, which is important for health and using them as a basis for intervention.

• Journal of Korean Medicine Rehabilitation
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• v.32 no.1
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• pp.73-87
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• 2022

Objectives We aimed to characterize the results obtained from Korean medical examinations and questionnaires on the quality of sleep. Methods The quality of sleep was measured using the Pittsburgh sleep quality index in 400 subjects. Afterwards, heart rate variability (HRV) measurements were done, along with the analyses for tongue color, teeth marks, and tongue coating through the tongue diagnosis system. A questionnaire about body's heat, cold and sweating conditions, and the perceived stress scale (PSS) were performed. Finally, correlations between all these indicators and the sleep quality were analyzed. Results As the quality of sleep decreased, the sympathetic nervous system was stimulated. The subjects who had the blue-purple colored tongue experienced decreased quality of sleep. The quality of sleep was also deteriorated in the subjects who usually feel cold and hot easily, sweat a lot, and feel a lot of discomfort. According to the PSS questionnaire, the higher the stress level is, the lower was the quality of sleep. Conclusions We obtained meaningful results by comprehensively analyzing the sleep quality, HRV, tongue diagnosis, heat and cold conditions, sweating, and stress conditions. In particular, the sleep quality had a significant correlation with the rest of the indicators.

• Journal of Preventive Medicine and Public Health
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• v.57 no.1
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• pp.83-90
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• 2024

Objectives: Professional firefighters face various health hazards and are required to maintain both physical and mental fitness to effectively mitigate crises and respond to emergencies. Moreover, the long working hours and shift work of this profession impact sleep quality. This study investigated the quality of sleep and its associated factors among firefighters in Bangkok, Thailand. Methods: This was a cross-sectional study of firefighters affiliated with the Bangkok Fire and Rescue Department, Bangkok Metropolitan Administration, Thailand between January 2023 and March 2023. A cluster random sampling technique was utilized to distribute 600 questionnaires to firefighters in 15 fire stations. The questionnaire addressed demographic, work-related, and environmental factors. Sleep quality was assessed using the Thai version of the Pittsburgh Sleep Quality Index (PSQI). Data analysis involved both descriptive and inferential statistics. Bivariate and multiple logistic regressions were performed. Results: The response rate was 78.7% (n=472), and 44.1% of the firefighters reported poor sleep quality (PSQI score >5). Sleep quality was statistically associated with conflicting family relationships (odds ratio [OR], 1.8; 95% confidence interval [CI], 1.1 to 2.9), additional part-time jobs (daytime, OR, 2.4; 95% CI, 1.3 to 4.4; or nighttime, OR, 4.3; 95% CI, 1.1 to 16.7), noisy sleeping areas (OR, 1.7; 95% CI, 1.1 to 2.8), and the availability of adequate bedding (OR, 3.0; 95% CI, 1.8 to 4.9). Conclusions: Poor sleep quality among firefighters was associated with various personal, work-related, and environmental factors. Organizations should promote policies that improve sleep quality through good sleep hygiene practices and facilities.

• Journal of The Korean Society of Integrative Medicine
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• v.5 no.4
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• pp.67-76
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• 2017

Purpose : The purpose of this study was to understand the correlations between life stress, sleep quality, and mental health in nursing college students. Method : This study was conducted on 315 nursing college students in B City between April 1stand30th, 2017. The collected data were processed using SPSS 22.0 and were analyzed using means, standard deviations, t-tests, an ANOVA, Scheffe's test, and Pearson's correlation coefficient. Results : Nursing college students showed means of $2.36{\pm}0.54$ points in life stress, $1.03{\pm}0.41$ points in sleep quality, and $2.95{\pm}0.57$ points in mental health. The analysis of correlations between life stress, sleep quality, and mental health in nursing college students showed a statistically significant positive correlation between life stress and sleep quality (r = .432, p < .001). In addition, statistically significant negative correlations were found between life stress and mental health (r = -.589, p < .001) as well as between mental health and sleep quality (r = -.301, p < .001). Discussion : Replication studies with larger numbers of subjects are required. Based on the present study, systematic studies on factors affecting life stress, sleep quality, and mental health are also necessary. Moreover, programs should be developed to reduce life stress as well as improve sleep quality and mental health.