• Science of Emotion and Sensibility
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• v.5 no.4
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• pp.11-32
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• 2002

This article evaluates the existing subjective measures that have been utilized in surface transportation to assess various aspects of operator status such as fatigue, sleepiness, arousal, mood, etc. Specifically, the representative six subjective instruments - Epworth Sleepiness Scale, Karolinska Sleepiness Scale, Pearson and Byars Fatigue Checklist, Stanford Sleepiness Scale, Stress-Arousal Checklist, and NPRU Mood Scale - are compared and contrasted in terms of reliability, . validity, sensitivity, and appropriateness for application. Recommendations for application of the subjective measures in surface transportation are discussed.

• Anxiety and mood
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• v.10 no.2
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• pp.137-142
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• 2014

Objective : The aim of this study was to investigate the relationship among daytime sleepiness, depressive symptoms, anxiety symptoms, and stress response of students in a university Methods : A total of 557 students were recruited in this study. The participants filled out stress response inventory, Epworth sleepiness scale, overall anxiety severity and impairment scale, and quality of life scale. Results : Excessive daytime sleepiness group showed higher scores in all factors in stress response inventory, overall anxiety severity and impairment scale, and quality of life scale. Sleepiness might be correlated with somatization and depression and anger in Stress response inventory. Conclusion : Excessive daytime sleepiness group exhibited poor quality of life scale. Screening about overall quality of sleep, such as mood and anxiety should be considered for students in a university.

• 대한상한금궤의학회지
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• v.11 no.1
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• pp.63-71
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• 2019

Objective : This case report aimed to demonstrate the effect of Baekhogainsam-tang on hypersomnolence. Methods : A 33-year-old woman complained of hypersomnolence with fatigue and lack of concentration in the daytime. According to the diagnostic system based on Shanghanlun provisions (DPIDS), the patient was treated with Baekhogainsam-tang decoction. The result was evaluated by the Epworth Sleep Scale. Results : After administration of Baekhogainsam-tang decoction for 30 days, the Epworth Sleep Scale score was decreased from 15 (pathologic sleepiness) to 1 (no clinically significant sleepiness). Conclusions : The patient completely recovered from hypersomnolence and fatigue following treatment with Baekhogainsam-tang decoction according to DPIDS.

• Safety and Health at Work
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• v.11 no.2
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• pp.244-247
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• 2020

The occurrence of the shift work disorder (SWD) in health-care workers (HCWs) employed in 24/7 hospital wards is a major concern through the world. In accordance with literature, SWD is the most frequent work-related disturb in HCWs working on shift schedules including night shift. In agreement with the Luxembourg Declaration on workplace health promotion (WHP) in the European Union, a WHP program has been developed in a large Hospital, involving both individual-oriented and organizational-oriented measures, with the aim to prevent the occurrence of SWD in nurses working on shifts including night shift. The objective assessment of rotating shift work risk and the excessive sleepiness were detected before and after the implementation of the WHP program, by using the Rotating Shiftwork-questionnaire and the Epworth Sleepiness Scale. The findings of this study showed the effectiveness of the implemented WHP program in minimizing the impact of shift work on workers' health and in preventing the misalignment between sleep-wake rhythm and shift working.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.305-315
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• 2017

This study examined the relationships sleep habits, daytime sleepiness, and problem behaviors. A cross-sectional survey design was used. Participants were 276 adolescents. Sleep habits, daytime sleepiness and problem behavior were measured by Adolescent Sleep Hygiene Scale (ASHS), Epworth Sleepiness Scale (ESS), and Korea-Youth Self Report (K-YSR), respectively. Data were collected from July to August, 2014 using self-reported questionnaires. Participants were middle school students, perceived their sleep time as enough and their sleep quality as good, have no problem behavior during sleep, and have no caffeinated drink for last a week were more likely to have higher score of sleep hygiene. Sleep habits score was associated negatively with daytime sleepiness and problem behaviors. Sleep impacts on physical growth, behavior, and emotional development of adolescent. Therefore, it is necessary to develop a sleep enhancement program for the good sleep habits of the adolescents, and to make efforts at home and school.

• Sleep Medicine and Psychophysiology
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• v.9 no.2
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• pp.106-114
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• 2002

Objectives: Daytime sleepiness is a common symptom and is associated with sleep behavior, sleep deprivation, and night shift, etc. It is also one of the most important symptoms of sleep disorders like obstructive sleep apnea (OSA). According to our survey on Korean literature, a few studies have dealt with daytime sleepiness, and we have not been able to locate any study comparing normal subjects with polysomnography-proven sleep disorder patients regarding daytime sleepiness. We aimed at comparing daytime sleepiness among normal healthy daytime workers, medical students being expected to have daytime sleepiness due to chronic sleep deprivation, and patients having sleep disorders diagnosed with polysomnography. We also studied the association between subjective daytime sleepiness and objective polysomnographic findings in patients with sleep disorders. Methods: One hundred three hospital workers, 137 medical students, and patients with sleep disorders were studied. Sleep disorders included OSA, periodic limb movements in sleep (PLMS), insomnia, and narcolepsy. The degree of subjective sleepiness in each group was measured by the Korean version of Epworth sleepiness scale and compared. The relationship between polysomnographic findings reflecting severity of sleep disorder in each patient group and subjective sleepiness was analyzed. As for patients with narcolepsy, the relationship between the mean sleep latency and subjective sleepiness was studied. Results: There was a significant difference of ESS score (F=68.190, dF=5.752, p<0.001) among daytime workers, medical students, and sleep disorder patients. In OSA patient group, the degree of the sleepiness had no significant correlation either with mean O2 satuaration (p=0.062) or with RDI (p=0.807). In PLMS patient group, there was no correlation between periodic limb movement index (PLMI) and subjective sleepiness (p=0.761). In narcolepsy patient group, the subjective sleepiness had no correlation with mean sleep latency measured with MSLT (p=0.055). Conclusion: We found a significant difference of subjective sleepiness among daytime workers, medical students, and patients with sleep disorders. However, no consistent correlation was found between severity of subjective sleepiness and objective polysomnographic findings reflecting severity of each sleep disorder. This research confirms that the evaluation of subjective sleepiness is important clinically, but it cannot substitute the objective measures such as nocturnal polysomnography and MSLT.

• Sleep Medicine and Psychophysiology
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• v.19 no.2
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• pp.89-96
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• 2012

Objectives: Individuals differ in their biological rhythms. This study investigated the association between the morningness-eveningness and sleep patterns, daytime sleepiness and fatigue in Korean male adolescents. Methods: Participants were 501 eleventh grade male students ($16.9{\pm}0.2$ years of age) in one male high school in Seoul. Each student completed the Korean translation of composite scale (KtCS), Epworth sleepiness scale (ESS), Fatigue Severity Scale (FSS) and a questionnaire about their sleep schedule. Results: The evening group had shorter weekday sleep time than the intermediate (p<0.001) or morning group (p=0.029). The evening group had more daytime napping (16.8%, p<0.001), high rate of caffeine use (58.8%, p<0.001) and snoring (18.5%, p=0.037). The evening group showed more daytime sleepiness (8.7, SD=3.2, p<0.001) and severe fatigue (4.4, SD=1.2, p<0.001) than the intermediate or morning group. Conclusion: Adolescents with eveningness have higher problems in weekday sleep, daytime sleepiness and fatigue. An intervention program for sleep problem in these adolescents should be considered.

• Journal of Oral Medicine and Pain
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• v.41 no.4
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• pp.188-194
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• 2016

Purpose: Burning mouth syndrome (BMS) is ambiguous and enigmatic oral condition. Sleep disturbance is one of the most prevalent complaints of patients with chronic pain. The aim of this study was to estimate general sleep characteristics and propensity in patients with BMS. Methods: A total of thirty BMS patients and thirty healthy control subjects were investigated. Self-reported measures of sleep quality were conducted using two widely used methods; the Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS). Data were analyzed with one-way ANOVA, chi-square, Fisher's exact test, Kruskal-Wallis test, Holm method with 95% confidence interval and p<0.05 significant level. Results: BMS patients showed more poor sleepers than those in control subjects in both ESS and PSQI test. BMS patients also showed statistically significant poorer sleep quality compared with control subjects in both test. When BMS group were divided into three groups on the basis of numeric rating scale, the higher score subjects had, the more mean rank they had in the PSQI. Conclusions: BMS patients showed up poor sleep characteristics and propensity than control group, and they also showed the more severe the pain was, the worse the sleep quality was.

• Korean journal of aerospace and environmental medicine
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• v.31 no.2
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• pp.38-44
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• 2021

Purpose: This study aimed to identify the prevalence of fatigue and its associated factors leading to the fatigue among Korean commercial airline pilots. Methods: An anonymous, web-based questionnaire collecting data on sleep related characteristics was completed by airline pilots. The final 1,029 samples of completed questionnaires were analyzed. The association of the risk factors with fatigue was determined using logistic regression analysis. Results: The prevalence of fatigue was 60% (Fatigue Severity Scale index≥3.2), disturbed sleep 28% (Pittsburgh Sleep Quality Index≥9), daytime sleepiness 17% (Epworth Sleepiness Scale≥10), and sleep apnea (Berlin Questionnaire≥2) 11%. The fully adjusted logistic regression showed that quality of life (odds ratio [OR]=0.16, confidence interval [CI]=0.11-0.24), daytime sleepiness (OR=1.26, CI=1.18-1.34), sleep quality (OR=1.44, CI=1.29-1.61), mental workload (OR=1.10, CI=1.05-1.14), vigorous physical activity (OR=0.82, CI=0.72-0.92), late starts (OR=1.25, CI=1.06-1.46) and average weekly flying hours (OR=1.02, CI=1.00-1.03) were associated with higher levels of fatigue. Conclusion: Lower quality of life, disturbed sleep, more subjective sleepiness, shorter sleep duration, higher mental workload, less vigorous physical activity, frequent late starts, and longer flying hour were shown to be risk factors for fatigue in airline pilots. These findings should be taken into account in the development of sleep and fatigue countermeasures for airline pilots.

• 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.