• Korean Journal of Psychosomatic Medicine
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• v.26 no.1
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• pp.44-50
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• 2018

Objectives : Insufficient sleep could have harmful effects on mental health. We examined the mental health status of Korean adolescents according to daily sleep time and subjective sleep satisfaction using a nationwide representative sample of Korean adolescents. Methods : Data from the 2016 Korean Youth Risk Behavior Web-based Survey was used. Sleep duration on weekdays and subjective sleep satisfaction during the past week were asked. Participants' perceived health, happiness, stress, depressive mood, and suicidality during past 12 months were also investigated. Participants were classified by mean duration of daily sleep time and the level of sleep satisfaction, and the odds of having mental health problems were compared. Results : Compared to adolescents who slept more than 6 hours per day and satisfied with their sleep, adolescents who slept less than 6 hours per day and/or dissatisfied with their sleep were less likely to perceive themselves healthy and happy. They were also more likely to have severe stress, depressive mood, and suicidality, with highest odds ratios among adolescents with both short and dissatisfying sleep. Conclusions : Given the significant associations between sleep insufficiency and mental health problems, attention to the sleep shortage among Korean adolescents is needed. Prospective studies are warranted to elucidate the causal relationships between subjective and objective sleep insufficiency and psychiatric conditions.

• Safety and Health at Work
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• v.7 no.2
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• pp.111-119
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• 2016

Background: Shift work and/or sleep quality may affect health. We investigated whether shift work and sleep quality, separately and jointly, were associated with abnormal levels of triglycerides, total cholesterol (TC), and low-and high-density lipoprotein cholesterol in 360 police officers (27.5% women). Methods: Triglycerides, TC, and high-density lipoprotein were analyzed on the Abbott Architect; low-density lipoprotein was calculated. Shift work was assessed using City of Buffalo payroll work history records. Sleep quality (good, ${\leq}5$; intermediate, 6-8; poor, ${\geq}9$) was assessed using the Pittsburgh Sleep Quality Index questionnaire. A shift work + sleep quality variable was created: day plus good sleep; day plus poor sleep; afternoon/night plus good; and poor sleep quality. Mean values of lipid biomarkers were compared across categories of the exposures using analysis of variance/analysis of covariance. Results: Shift work was not significantly associated with lipids. However, as sleep quality worsened, mean levels of triglycerides and TC gradually increased but only among female officers (age- and race-adjusted p = 0.013 and 0.030, respectively). Age significantly modified the association between sleep quality and TC. Among officers ${\geq}40$ years old, those reporting poor sleep quality had a significantly higher mean level of TC ($202.9{\pm}3.7mg/dL$) compared with those reporting good sleep quality ($190.6{\pm}4.0mg/dL$) (gender- and race-adjusted p = 0.010). Female officers who worked the day shift and also reported good sleep quality had the lowest mean level of TC compared with women in the other three categories (p = 0.014). Conclusion: Sleep quality and its combined influence with shift work may play a role in the alteration of some lipid measures.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.27 no.2
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• pp.138-148
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• 2017

Objectives: Sleep quality is directly related to the health, quality of life and working capacity and is affected by age, gender, exercise, life habits. Gender dissimilarities in sleep quality are acknowledged. However, the gender difference in the quality of sleep in shift workers was not well known. Our aim was to study the less known gender differences in the quality of sleep of shift workers. Methods: 1,008 study subjects aged between 21 and 57 years among these, 637(525 male and 112 female workers) were daytime workers and 371(253 males and 118 female workers) were shift workers. Sleep quality was measured by self-report through the Pittsburg Sleep Quality Index(PSQI) and fatigue was measured by using the Chalder Fatigue Scale(CFS). All data was analyzed using SPSS version 19.0 program. The study was approved by the Institutional Review Board of the Occupational Safety and Health Research Institute. Results: Overall, sleep quality was found to be worse in shift workers than in daytime workers and in female than in male. Fatigue in shift female workers was significantly higher than in daytime female workers and shift male workers. In Spearman correlation analysis results, fatigue were significantly associated with gender, drink habit, regular exercise, working hours and sleep quality. With group male workers as the reference, the odds ratio(OR) for having a CFS was 2.115(${\beta}$ value=0.749, p<0.01), and subjective sleep quality, sleep latency, daytime dysfunction and PSQI were 1.541(${\beta}$ value=0.432, p<0.05), 2.297(${\beta}$ value=0.831, p<0.001), 1.798(${\beta}$ value=0.587, p<0.01) and 2.224(${\beta}$ value=0.799, p<0.01), respectively. Conclusions: Shift work played an important role in lowering the quality of sleep, and the effect was more pronounced in female workers than in male workers. Sleep quality was related to fatigue, especially sleep quality, sleep duration, sleep disturbances and daytime dysfunction were significantly related. Therefore, to improve fatigue and sleep quality of shift worker, it is necessary to improve healthy habits such as regular exercise, smoking cessation, and limited drinking. In particular, it is urgent to develop and implement a regular exercise program to reduce fatigue and improve the quality of sleep in workplace.

• Journal of the Korean Society of School Health
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• v.29 no.2
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• pp.98-106
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• 2016

Purpose: The purpose of this study was to examine the relationship between sleep quality and mental health among adolescents and identify the factors relating to mental health. Methods: The subjects consisted of 285 middle school students. The data were collected from May $2^{nd}$ to $27^{th}$, 2016. The data were analyzed using t-test, ANOVA, Pearson's correlation coefficient and multiple linear regression with SPSS ver. 21. Results: The mean score for quality of sleep in adolescents was $4.20{\pm}2.64$, and the mean score for mental health was $13.67{\pm}12.93$. Poor sleepers showed higher scores for mental health than good sleepers. Mental health was found to have a positive correlation with both stress and quality of sleep. Stress and sleep quality were found to be significant factors influencing mental health and explained 59% of the variance in mental health. Conclusion: These findings indicate that effective intervention programs enhancing sleep quality should be provided for adolescents in order to prevent poor mental health.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.21 no.2
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• pp.123-130
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• 2014

Purpose: The purpose of this study was to identify quality of sleep and health-promoting behaviors in rotating-shift nurses and to explore the influence of health promoting behaviors on quality of sleep. Method: Participants were 161 staff nurses working in an irregular three shift system in one of three general hospitals located in Kyungpook province. Data were collected using the Pittsburgh Sleep Quality Index and the Health Promoting Lifestyle Profile-IIand were analyzed using hierarchical multiple regression analysis. Results: The majority of the participants had very poor quality of sleep and performed a low level of health promoting behaviors. In terms of health promoting behaviors, nutrition and stress management significantly influenced quality of sleep of these nurses. Conclusion: Results indicate the importance of encouraging rotating-shift nurses to enhance their health promoting behaviors in order to improve quality of sleep.

• Journal of Korean Academy of Nursing
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• v.51 no.3
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• pp.380-389
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• 2021

Purpose: This study aimed to understand the relationship between cigarette and electronic cigarette (e-cigarette) use and sleep health among Korean adolescents. Methods: Using the 14th Korea Youth Risk Behavior Survey, we included 52,928 adolescents who responded to sleep satisfaction and sleep duration. Participants were classified into four groups: non-users, cigarette-only users, e-cigarette-only users, and dual users of both products. To examine the associations between cigarette and e-cigarette use and sleep health, data were analyzed using complex samples cross tabulation and complex samples logistic regression. Results: Of the four groups, dual users reported the lowest level of sleep satisfaction and sleep duration; 57.0% and 86.9% of dual users were not satisfied with their sleep and have insufficient sleep duration, respectively. The proportion of students who were not satisfied with their sleep was higher among cigarette-only users compared to e-cigarette-only users (52.7% vs. 45.8%), but the two groups reported similar rates of insufficient sleep duration (84.2% vs. 84.3%). Compared to non-users, cigarette-only users, e-cigarette-only users, and dual users were more likely to not be satisfied with sleep (odds ratios [ORs] were 1.49, 1.36, and 1.75, respectively) and had significantly higher odds of experiencing insufficient sleep duration (ORs were 1.85, 2.06, and 2.34, respectively). Conclusion: E-cigarette-only use and dual use as well as cigarette-only use were associated with poor sleep health. Therefore, to improve adolescent sleep health, health professionals should provide sleep intervention strategies considering the association between smoking and sleep health.

• Korean Journal of Occupational Health Nursing
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• v.31 no.3
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• pp.125-136
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• 2022

Purpose: The aim of this systematic literature review was to synthesize and investigate the effects of shift workers' sleep in Korea. Methods: A search was conducted through three electronic databases using keywords such as "shift work" or "rotation work" and "sleep", with sleep as the independent variable, and 17 papers were reviewed. Results: The design of those 17 studies was analyzed in a cross-sectional analysis. The most commonly measured characteristic was quality of sleep, whereas the others were sleep disturbance, sleep efficiency, and sleepiness. The study outcome variables were job-related factors, mental health, wellness, stress, fatigue, and metabolic syndrome. Conclusion: The results inform sleep and health-promoting behaviors and improvement in shift workers' working condition.

• 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.

• Korean Journal of Occupational Health Nursing
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• v.29 no.4
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• pp.306-315
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• 2020

Purpose: This study was conducted to identify the effects of caffeine intake by shift workers on sleep, considering various variable related to the sleep health of shift workers. Methods: A descriptive survey study was conducted with 128 employees who worked shifts. Respondents were surveyed on their of caffeine intake behavior, schedule type, quality of sleep, health promotion behavior, and occupational stress. Differences in their quality of sleep were assessed using the t-test and analysis of variance, while factors influencing the effect of caffeine intake on the quality of sleep were analyzed using hierarchical logistic regression. Results: The average Pittsburgh Sleep Index, Korean Version score of those surveyed was 7.3±3.25, indicating that their quality of sleep was low. On the other hand, their aveage daily intake of caffeine was 1.6±0.99 cups (1 cup =150 mL) and 116.4±77.58 mg/dL of caffeine. When the various variables that could have affected the quality of sleep were corrected, an increase in the amount of caffeine consumed was found to lead to a decrease in the quality of sleep (p=.015). Conclusion: Caffeine intake by shift workers has a significant bearing on their quality of sleep; therefore, such intake should be adjusted to improve their sleep health.

• 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.