• 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 Public Health Nursing
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• v.27 no.1
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• pp.76-88
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• 2013

Purpose: The purpose of this study was to identify the degree of sleep quality and its associated factors in adults. Methods: The data was collected from 986 adults aged 19 to 64 by convenience sampling. Subjects completed a questionnaire composed of Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory, and other questions that self-rated health and sociodemographic variables. Statistical methods used included descriptive statistics, simple logistic regression, and multiple logistic regression analyses. Results: The global PSQI score was 5.7. About 45% of the subjects were poor sleepers (global PSQI score >5). Multiple logistic regression analyses showed that factors significantly associated with sleep quality were depression and poor self-rated health in young and middle-aged adults. Depression was the most significant associated factor. The presence of a spouse was also associated with sleep quality in young adults. Conclusion: These findings suggest that people with poor sleep quality should have their health carefully screened for depression. In addition, we recommend the development of a nursing program for improving sleep quality.

• 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.

• 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 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.

• 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 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.

• Asian Oncology Nursing
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• v.12 no.2
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• pp.117-124
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• 2012

Purpose: The purpose of this study was to assess pain, sleep disturbance, fatigue, and the quality of life and to identify the impact of pain, sleep disturbance and fatigue on the quality of life in patients with pancreatic cancer undergoing chemotherapy. Methods: Data were collected from June to July, 2010. Participants were recruited from Y university hospital in Seoul. Research instruments included numeric rating scale for pain, Functional Assessment Chronic Illness Therapy-Functional Well-Being (FACIT-FWB): General Factor 5 (GF5) for sleep disturbance, Functional Assessment of Cancer Therapy-General (FACT-G) for quality of life, and FACT-Fatigue for fatigue. Results: The quality of life for cancer patients had a significant relationship with pain, sleep disturbance, and fatigue. The significant factors influencing quality of life were pain, sleep disturbance, and fatigue that explained 52.6% of the variance. Conclusion: Patients with pancreatic cancer undergoing chemotherapy experienced pain, fatigue, and sleep disturbance which led to a negative effect on quality of life. The results suggest that intervention program to improve quality of life could reduce pain, fatigue, and sleep disturbance of pancreatic cancer patients undergoing chemotherapy.