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- 저자 : Yeo Sungook (검색결과 3 건)
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Sleep Environment and Non-Rapid Eye Movement-Related Parasomnia Among Children: 42 Case Series
Joohee Lee,Sungook Yeo,Kyumin Kim,정석훈 대한수면학회 2020 sleep medicine research Vol.11 No.1
The purpose of this study was to identify the clinical features related to sleep environment of nonrapid eye movement (NREM)-related parasomnia. It was a retrospective medical record review of 42 children. We investigated demographic information, sleep pattern, sleep environment, and the mother’s dysfunctional beliefs about the child’s sleep. The mean age of subjects was 6.3 ± 3.1. The diagnosis was night terror (n = 21), sleepwalking (n = 8), confusional arousal (n = 2), and unspecified (n = 11). The average time of sleep pattern was as follow; bedtime 21:39 ± 0:54 pm, sleep onset time 22:13 ± 0:54 pm, wake-up time 7:37 ± 0:42 am and NREM-related parasomnia occurrence time 1:09 ± 2:04 am. The average number of co-sleeping members was 2.8. 48.5% (n = 16) mothers experienced coldness while sleeping, and 64.7% (n = 22) parents had dysfunctional beliefs about their children’s sleep. The large number of co-sleeping members, coldness mothers experienced while sleeping, and dysfunctional beliefs about their children’s sleep may influence the NREM-parasomnia in children.
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Assessing the Sleep-wake Pattern in Cancer Patients for Predicting a Short Sleep Onset Latency
Kikyoung Yi,Joohee Lee,Sungook Yeo,Kyumin Kim,Seockhoon Chung 대한정신약물학회 2022 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.20 No.2
Objective: We investigated the sleep parameters and clinical factors related to short sleep onset latency (SL) in cancer patients. Methods: We retrospectively reviewed the medical records of 235 cancer patients. Patient Health Questionnaire-9, State and Trait Anxiety Inventory (State subcategory), Insomnia Severity Index (ISI), Cancer-related Dysfunctional Beliefs about Sleep, and Fear of Progression scale scores and sleep related parameters including sleeping pill ingestion time, bedtime, sleep onset time, and wake-up time were collected. We also calculated the duration from sleeping pill ingestion to bedtime, sleep onset time, and wake-up time; duration from wake-up time to bedtime and sleep onset time; and time spent in bed over a 24 hours period. Results: Among patients not taking sleeping pills (n = 145), early wake-up time (adjusted odds ratio [OR]: 0.39, 95% confidence interval [CI] 0.19−0.78), early sleep onset time (OR: 0.50, 95% CI 0.27−0.93), and low ISI score (OR: 0.82, 95% CI 0.71−0.93) were identified as expecting variables for SL ≤ 30 minutes. Longer duration from wake-up time to bedtime (OR: 2.49, 95% CI 1.48−4.18) predicted SL ≤ 30 minutes. Among those taking sleeping pills (n = 90), early sleep onset time (OR: 0.54, 95% CI 0.39−0.76) and short duration from pill ingestion to sleep onset time (OR: 0.05, 95% CI 0.02−0.16) predicted SL ≤ 30 minutes. Conclusion: Cancer patients who fell asleep quickly spent less time in bed during the day. Thus, before cancer patients with insomnia are prescribed sleeping pills, their sleep parameters should be examined to improve their SL.
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Chung Seockhoon,Kim Hwa Jung,Ahn Myung Hee,Yeo Sungook,Lee Joohee,Kim Kyumin,Kang Solbi,Suh Sooyeon,Shin Yong-Wook 대한의학회 2021 Journal of Korean medical science Vol.36 No.47
Background: The coronavirus disease 2019, or COVID-19, has had a major psychological impact on healthcare workers. However, very few scales are available to specifically assess work-related stress and anxiety in healthcare workers responding to a viral epidemic. This study developed a new assessment tool, the Stress and Anxiety to Viral Epidemics-9 (SAVE-9) and aimed to validate it among healthcare workers directly affected by COVID-19 in Korea. Methods: A total of 1,019 healthcare workers responded through anonymous questionnaires during April 20–30, 2020. Exploratory factor analysis (EFA) was conducted to explore the construct validity, and the reliability was assessed using internal consistency measures of Cronbach's alpha coefficients. Receiver operating characteristic analysis was conducted to define the most appropriate cut-off point of SAVE-9 using the Generalized Anxiety Disorder-7 scale (GAD-7; ≥ 5). Second, Spearman's rank correlation coefficient was used to establish convergent validity for the SAVE-9 questionnaire with GAD-7 and the Patient Health Questionnaire-9. Results: The nine-item scale had satisfactory internal consistency (Cronbach's α = 0.795). It adopted a two-factor structure: 1) anxiety regarding viral epidemics and 2) work-related stress associated with viral epidemics. A cut-off score of 22 for the SAVE-9 ascertained levels of stress and anxiety in response to a viral epidemic in healthcare workers that warranted clinical attention. Correlations between the SAVE-9 and the other scales were statistically significant (P < 0.05). Conclusion: The results suggest that the SAVE-9 is a useful, reliable, and valid tool to evaluate stress and anxiety responses in healthcare workers during viral epidemics.
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