• Korean Journal of Clinical Pharmacy
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• v.34 no.1
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• pp.21-29
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• 2024

Background: Daytime sleepiness, a common phenomenon among adolescents focused on academics, has negative effects on aspects such as growth and overall learning. However, research on various drugs and diseases affecting daytime sleepiness is lacking in the reality. Therefore, this study aims to investigate the factors influencing daytime sleepiness in adolescents with daytime sleepiness. Methods: This study was conducted through a survey of 2,432 middle and high school students, aged 14 to 19. The questionnaire consisted of information on socio-demographic characteristics, overall health status, and sleep patterns. The Pediatric Daytime Sleepiness Scale (PDSS), translated into Korean, was used to assess daytime sleepiness. Daytime sleepiness was measured by calculating the total score for each item of the PDSS, and divided into two groups based on the cutoff value of 19, which was the upper quartile. Results: We analyzed a total of 1,770 students including 799 boys and 971 girls. Students with a PDSS score of 19 or higher made up 33.3% of boys and 66.7% of girls. In multivariate analyses, females, smoking, poor self-reported health level, sleep after 12 am, not feeling refreshed in the morning, headache, muscle pain, and scoliosis increased the risk of daytime sleepiness significantly. The AUROC of PDSS, including significant factors in multivariate analyses, was 0.751 (95% CI 0.725~0.776). Conclusions: Daytime sleepiness in adolescents affects growth, academic performance, and emotional stability. Therefore, it is important to manage medications, diseases, and other factors that affect daytime sleepiness on a social level.

• Sleep Medicine and Psychophysiology
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• v.16 no.2
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• pp.56-60
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• 2009

Excessive daytime sleepiness in childhood might be abnormal phenomenon and often related to the sleep disorders or insufficient sleep duration. The most common cause of excessive daytime sleepiness would be insufficient sleep. However, narcolepsy, idiopathic hypersomnia, circadian rhythm sleep disorders, medication, medical illness and other sleep disorders that could cause insomnia and poor quality of sleep also result in excessive daytime sleepiness. The misdiagnosed and untreated excessive daytime sleepiness in childhood can lead to serious developmental and educational problem.

• 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.

• Sleep Medicine and Psychophysiology
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• v.4 no.2
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• pp.140-146
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• 1997

Sleep-related breathing disorders, especially sleep apnea syndrome are complicated by neuropsychiatric dysfunction such as excessive daytime sleepiness, cognitive dysfunction, and depression. As the determinants of daytime sleepiness, sleep fragmentation is more influential than nocturnal hypoxia. Daytime sleepiness can be improved by continuous positive airway pressure (CPAP) or surgery in up to 95% of the treated subjects. Both sleepiness and nocturnal hypoxia would cause cognitive dysfunction. While impairments in attention and verbal memory are more related with sleepiness and prominent in mild to moderate sleep apnea syndrome (SAS), impairments in general intellectual function and executive function are more related with nocturnal hypoxia and prominent in severe SAS. Several cognitive deficits related with nocturnal hypoxia may be irreversible despite CPAP or surgical treatments. So, early detection and early appropriate treatment of SAS would prevent sleepiness and cognitive deterioration.

• 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.

• 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.

• Clinical and Experimental Pediatrics
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• v.54 no.1
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• pp.29-35
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• 2011

Purpose: Korean adolescents have severe nighttime sleep deprivation and daytime sleepiness because of their competitive educational environment. However, daytime sleep patterns and sleepiness have never been studied using age-specific methods, such as the pediatric daytime sleepiness scale (PDSS). We surveyed the daytime sleepiness of Korean adolescents using a Korean translation of the PDSS. Methods: We distributed the 27-item questionnaire, including the PDSS and questions related to sleep pattern, sleep satisfaction, and emotional state, to 3,370 students in grades 5-12. Results: The amount of nighttime sleep decreased significantly with increasing age. During weekday nights, $5-6^{th}$ graders slept for $7.95{\pm}1.05h$, $7-9^{th}$ graders for $7.57{\pm}1.05h$, and $10-12^{th}$ graders for $5.78{\pm}1.13h$. However, the total amounts of combined daytime and nighttime sleep during weekdays were somewhat greater, $8.15{\pm}1.12h$ for $5-6^{th}$ graders, $8.17{\pm}1.20h$ for $7-9^{th}$ graders, and $6.87{\pm}1.40h$ for $10-12^{th}$ graders. PDSS scores increased with age, $11.89{\pm}5.56$ for $5-6^{th}$ graders, $16.57{\pm}5.57$ for $7-9^{th}$ graders, and $17.71{\pm}5.24$ for $10-12^{th}$ graders. Higher PDSS scores were positively correlated with poor school performance and emotional instability. Conclusion: Korean teenagers sleep to an unusual extent during the day because of nighttime sleep deprivation. This negatively affects school performance and emotional stability. A Korean translation of the PDSS was effective in evaluating the severity of daytime sleepiness and assessing the emotional state and school performance of Korean teenagers.

• Safety and Health at Work
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• v.11 no.3
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• pp.367-371
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• 2020

We evaluated the eating pattern, physical activity, and daytime sleepiness level in Chilean shift workers. Fifty, middle-aged adult health workers from a public hospital in Santiago, Chile, were included: a group undergoing shift work (shift workers, including at least one "night shift" and one "long day", n = 33), and day workers under traditional schedule (from 8:00 to 17:00h, n = 17). Body composition, physical activity, and daytime sleepiness levels, and diet characteristics (diet composition, meals' timing, and diet quality) were assessed. Despite similar total energy intake, shift worker showed lower carbohydrate (% of energy) and higher protein intake (both P < 0.01), decreased diet quality, an irregular eating pattern, and delayed meal timing (all P < 0.05). Physical activity and daytime sleepiness levels did not differ between groups. Findings from this first Chilean study in healthcare shift workers support the fact that meal timing and diet quality appear as critical factors for upcoming intervention studies in this group.

• Sleep Medicine and Psychophysiology
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• v.1 no.2
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• pp.125-144
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• 1994

Recently excessive daytime sleepiness was found to have relations with various social, occupational, and health problems. This condition is common symptom of several sleep disorders, among which sleep apnea syndrome is most contributive. It is essential to assess daytime sleepiness exactly for the diagnosis of such sleep disorders. Multiple sleep latency test which is a valid and objective measurement technique of sleepiness is time and cost consuming, and so there is increasing need of scales measuring general level of daytime sleepiness which are quick and simple to perform for clinical and research purpose. And also, there have been a lot of sleep researches viewing sleep as a chronobiological process, especially in the study of circadian type of shift workers. In these studies they used various techniques of multiple demensions to assess sleepiness or circadian rhythm which concerns various psychological variables. Of these measurement techniques circadian type questionnaires might have some problems in their psychometric properties. So some of these morningness-eveningness questionnaires have been revised and more valid scales are being suggested by different authors. The author briefly reviewed various measurement techniques of sleepiness and circadian rhythm and introduced recently developed scales which are more valid allegedly, and finally discussed psychometric properties of these morningness-eveningness questionnaires.

• Journal of Korean Critical Care Nursing
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• v.16 no.2
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• pp.15-27
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• 2023

Purpose : This study aimed to examine the relationship between sleep quality and its influencing factors in patients with coronary artery disease (CAD). Methods : This descriptive correlational study included 130 patients with CAD admitted to the cardiology department of a general hospital in B City between September 2019 and February 2020. Data were collected using structured questionnaires and research instruments to measure sleep quality, anxiety, depression, chronotype, and daytime sleepiness. Results : The mean scores for sleep quality, daytime sleepiness, anxiety, and depression were 7.59±3.45, 6.45±3.46, 6.58±3.88, and 7.74±4.05, respectively. In terms of chronotypes, 10.8%, 48.5%, and 40.7% of the participants had evening-, intermediate-, and morning-type patterns, respectively. Sleep quality was significantly correlated with anxiety (r=0.38, p<.001), depression (r=.37, p<.001), and daytime sleepiness (r=.26, p =.002). Factors associated with sleep quality in patients with CAD included anxiety (β=.29), heart failure (β=.22), daytime sleepiness(β=.21), and sleeping alone (β=.19). Collectively, these factors had an explanatory power of 23.1% for sleep quality variance. Conclusion: Patients with CAD often experience poor sleep quality owing to various factors such as anxiety, daytime sleepiness, heart failure, and sleeping alone. It is recommended that healthcare providers objectively evaluate sleep and identify factors that influence sleep quality. This will enable the development of effective methods for sleep management as part of nursing care.