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Objectives@#Nightmare disorder is highly prevalent in clinical settings and is highly comorbid with posttraumatic stress disorder (PTSD). In the current study, we aimed to develop and validate a semi-structured interview based on the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders-fifth edition for diagnosing nightmare disorder. @*Methods@#We developed a Semi-Structured Clinical Interview for Nightmare Disorder (SCIN) in five steps: we interviewed 100 females (mean age, 24.6±5.88 years) using the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5); Structured Clinical Interview for DSM-IV Axis 1 Disorders, Research Version (SCID-I); and self-report questionnaires for nightmares (Disturbing Dream and Nightmare Severity Index, DDNSI), depression, state anxiety, trait anxiety, suicidal ideation, and insomnia. Two independent raters assessed the responses of the interviewees. The interrater reliability for the SCIN was calculated. Pearson’s correlation coefficient was used to assess convergent validity between SCIN and the DDNSI. Chi-square analyses were conducted to compare prevalence of PTSD based on nightmare disorder diagnosis. @*Results@#Among the participants, 42% were diagnosed with nightmare disorder, 15% had subthreshold nightmare disorder, and 43% did not have nightmare disorder. Interrater reliability was moderate (Kappa=0.707, p<0.001). The semi-structured clinical interview showed good convergent validity with the DDNSI (r=0.639, p<0.001). Additionally, individuals who were identified as having nightmare disorder had higher levels of depression, state anxiety, trait anxiety, suicidal ideation, and insomnia (p<0.001). Based on the PTSD diagnosis using CAPS-5, the nightmare group had a higher proportion of PTSD diagnoses than the no-nightmare group (26.2% vs. 8.6%, respectively; χ2=38.41, p<0.001). @*Conclusions@#The semi-structured clinical interview for nightmare disorder appears to have good reliability and validity and can be used in clinical settings.
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Objectives@#Nightmare disorder is highly prevalent in clinical settings and is highly comorbid with posttraumatic stress disorder (PTSD). In the current study, we aimed to develop and validate a semi-structured interview based on the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders-fifth edition for diagnosing nightmare disorder. @*Methods@#We developed a Semi-Structured Clinical Interview for Nightmare Disorder (SCIN) in five steps: we interviewed 100 females (mean age, 24.6±5.88 years) using the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5); Structured Clinical Interview for DSM-IV Axis 1 Disorders, Research Version (SCID-I); and self-report questionnaires for nightmares (Disturbing Dream and Nightmare Severity Index, DDNSI), depression, state anxiety, trait anxiety, suicidal ideation, and insomnia. Two independent raters assessed the responses of the interviewees. The interrater reliability for the SCIN was calculated. Pearson’s correlation coefficient was used to assess convergent validity between SCIN and the DDNSI. Chi-square analyses were conducted to compare prevalence of PTSD based on nightmare disorder diagnosis. @*Results@#Among the participants, 42% were diagnosed with nightmare disorder, 15% had subthreshold nightmare disorder, and 43% did not have nightmare disorder. Interrater reliability was moderate (Kappa=0.707, p<0.001). The semi-structured clinical interview showed good convergent validity with the DDNSI (r=0.639, p<0.001). Additionally, individuals who were identified as having nightmare disorder had higher levels of depression, state anxiety, trait anxiety, suicidal ideation, and insomnia (p<0.001). Based on the PTSD diagnosis using CAPS-5, the nightmare group had a higher proportion of PTSD diagnoses than the no-nightmare group (26.2% vs. 8.6%, respectively; χ2=38.41, p<0.001). @*Conclusions@#The semi-structured clinical interview for nightmare disorder appears to have good reliability and validity and can be used in clinical settings.
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Objectives@#Bedtime procrastination (BP) is defined as the behavior of voluntarily postponing bedtime without having external reasons for doing so. According to previous studies, people with reduced use of active emotion regulation strategies may use BP to cope with negative emotions. However, research about the relationship among active emotional regulation strategies, BP, and insomnia is lacking. This study aimed to investigate the mediating effect of BP between active emotional regulation strategies and insomnia severity. @*Methods@#In total, 597 adults (female, 81.9%; mean age, 23.18±2.80 years) completed the Emotional Regulation Strategies Checklist, Insomnia Severity Index, and Bedtime Procrastination Scale. @*Results@#There was a significant association between active emotional regulation strategies and BP (r=-0.152, p<0.01), between BP and insomnia severity (r=0.259, p<0.01), and between active emotional regulation strategies and insomnia severity (r=-0.128, p<0.01). BP significantly mediated the relationship between active emotional regulation strategies and insomnia severity (B=-0.024; 95% confidence interval [CI], -0.04 to -0.01). @*Conclusions@#BP may be considered in the relationship between active emotional regulation strategies and insomnia severity. Understanding the mediating role of BP may help prevent insomnia.
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Background@#This study explored the clinical variables related to public workers' stress and anxiety regarding the viral epidemic, and the mediating effect of resilience on the relationship between their depression and anxiety in response to coronavirus disease 2019 (COVID-19) pandemic. @*Methods@#A total of 938 public workers answered anonymous questionnaires in May 2020.The survey included rating scales such as the Stress and Anxiety to Viral Epidemics-9 (SAVE-9), Patients Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Connor-Davidson Resilience Scale 2 items (CD-RISC 2), and subjects also answered whether they were employed in COVID-19 related fields. @*Results@#Married, female, junior, public workers reported a higher level of stress and anxiety in response to the viral epidemic. Furthermore, high levels of stress and anxiety toward the epidemic are defined by high PHQ-9, high GAD-7, and low CD-RISC 2 scores. It could also be seen that resilience mediated the effect of depression in public workers and their stress and anxiety levels toward the epidemic. @*Conclusion@#It is important to reduce the psychological burden of public workers and manage their mental health to help them cope with the epidemic wisely and efficiently. Among many mental health factors, psychological resilience represents an essential target for psychological intervention among public workers.
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Background@#This study explored the clinical variables related to public workers' stress and anxiety regarding the viral epidemic, and the mediating effect of resilience on the relationship between their depression and anxiety in response to coronavirus disease 2019 (COVID-19) pandemic. @*Methods@#A total of 938 public workers answered anonymous questionnaires in May 2020.The survey included rating scales such as the Stress and Anxiety to Viral Epidemics-9 (SAVE-9), Patients Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Connor-Davidson Resilience Scale 2 items (CD-RISC 2), and subjects also answered whether they were employed in COVID-19 related fields. @*Results@#Married, female, junior, public workers reported a higher level of stress and anxiety in response to the viral epidemic. Furthermore, high levels of stress and anxiety toward the epidemic are defined by high PHQ-9, high GAD-7, and low CD-RISC 2 scores. It could also be seen that resilience mediated the effect of depression in public workers and their stress and anxiety levels toward the epidemic. @*Conclusion@#It is important to reduce the psychological burden of public workers and manage their mental health to help them cope with the epidemic wisely and efficiently. Among many mental health factors, psychological resilience represents an essential target for psychological intervention among public workers.
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Objective@#As smartphone use is becoming more common, the age of initial exposure to devices is becoming younger. Young children’s screen use is influenced by various factors; it is more directly dependent on family environment than school-aged children. Our study aimed to examine the effect of mother’s smartphone addition on their child’s smartphone use. @*Methods@#Participants were from the Kids Cohort for Understanding of internet addiction Risk factors in early childhood (K-CURE) study. Adult smartphone addiction self-diagnosis scale was used to evaluate smartphone addiction degree of mother. Child’s smartphone use was assessed by parental questionnaire. Using logistic regression analysis, we examine the association between mother’s smartphone addiction and child’s smartphone use. @*Results@#After adjusting for other factors, mother’s smartphone addiction is related with early smartphone exposure of children. Highrisk group’s children was exposed to smartphone earlier than low risk group (adjusted OR, 0.418; p=0.021). Contrary to expectation, there is no correlation between mother’s smartphone addiction and child’s smartphone use time. @*Conclusion@#Our study explain that mother’s smartphone addiction can affect early smartphone exposure on children. Based on our findings, further study might explore the effect of early smartphone exposure on children.
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This study explored the psychometric properties of the Arabic version of the Stress and Anxiety to Viral Epidemics-6 items (SAVE-6) scale for assessing people's anxiety in response to the viral epidemic in Lebanon. The 406 participants responded voluntarily to the online survey that included the SAVE-6, Generalized Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire-9 (PHQ-9) tools. The single-structure SAVE-6 model showed good internal consistency (Cronbach's α = 0.773). The SAVE-6 scale also showed good convergent validity with the GAD-7 (Spearman's ρ = 0.42, P < 0.001) and PHQ-9 (ρ = 0.38, P < 0.001). Receiver operating characteristic (ROC) analysis revealed an Arabic SAVE-6 cut-off score of 12 points (area under the curve [AUC] = 0.753; sensitivity = 62.74%; specificity = 78.26%) for an at least mild degree of anxiety (GAD-7 score ≥ 5). The Arabic version of the SAVE-6 was a reliable, valid, and solely usable scale for measuring the anxiety response of the general population to the viral epidemic.
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This study explored the psychometric properties of the Arabic version of the Stress and Anxiety to Viral Epidemics-6 items (SAVE-6) scale for assessing people's anxiety in response to the viral epidemic in Lebanon. The 406 participants responded voluntarily to the online survey that included the SAVE-6, Generalized Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire-9 (PHQ-9) tools. The single-structure SAVE-6 model showed good internal consistency (Cronbach's α = 0.773). The SAVE-6 scale also showed good convergent validity with the GAD-7 (Spearman's ρ = 0.42, P < 0.001) and PHQ-9 (ρ = 0.38, P < 0.001). Receiver operating characteristic (ROC) analysis revealed an Arabic SAVE-6 cut-off score of 12 points (area under the curve [AUC] = 0.753; sensitivity = 62.74%; specificity = 78.26%) for an at least mild degree of anxiety (GAD-7 score ≥ 5). The Arabic version of the SAVE-6 was a reliable, valid, and solely usable scale for measuring the anxiety response of the general population to the viral epidemic.
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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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Objectives@#Bedtime procrastination is defined as going to bed later than intended, without having external reasons for doing so. According to previous studies, bedtime procrastination is strongly associated to usage of smart devices before bedtime. However, there is a lack of in-depth research about the function of smartphone usage before bedtime, and which applications are used frequently in association with bedtime procrastination. Therefore, the current study, preliminary research, investigates the usage patterns of smartphone applications of individuals with high levels of bedtime procrastination. @*Methods@#Participants consisted of 20 adults (female=80%, age=20.9±2.05 years) who scored higher than 33 on the Bedtime Procrastination Scale. All participants completed a 7-day sleep diary, Insomnia Severity Index, and the Center for Epidemiological Studies Depression Scale. On the sleep diary, participants were asked to track the specific type of smartphone application they used and time they engaged in the specific application prior to bedtime. @*Results@#Among the different main categories, bedtime procrastinators spent significantly more time on communication and leisure prior to bedtime. In addition, the correlation between depression and amount of time spent watching movie/television/video, and between insomnia severity and time spent communicating through cellphone messenger service were significant. @*Conclusions@#The results of this study provide insight into which smartphone applications bedtime procrastinators spend the most time prior to bedtime. The results suggest that the main functions of using their cell phone prior to bedtime are for entertainment and social interaction.
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Objectives@#Sleep misperception is the underestimation of perceived total sleep time compared to actual total sleep time. It is observed in approximately 50% of patients with insomnia. Insomnia patients with sleep misperception report significantly higher depression than those without sleep misperception. Depression is one of the most consistent risk factors for predicting insomnia. Therefore, this study attempted to confirm the mediating effect of depression in exacerbating insomnia. @*Methods@#This study included 77 male and female aged 18–40 years who met diagnostic criteria for insomnia disorder based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. Depression and insomnia severity were measured using self-report questionnaires, and actigraphy data were collected for 1 week. The sleep misperception index was calculated using the sleep diary and actigraphy. @*Results@#The Pearson correlation analysis was performed to examine the relationships between sleep misperception, insomnia, and depression. Sleep misperception was positively associated with depression (r=0.399, p<0.01). There was also a significant positive correlation between depression and insomnia severity (r=0.591, p<0.01). However, there was no significant correlation between sleep misperception and insomnia severity (r=0.210, p=0.07). Depression was found to have a full mediating effect on the relationship between sleep disturbance and severity of insomnia (n=77, B=6.1688, 95% confidence interval=2.9960, 10.4562). @*Conclusions@#This study verified the mediating effect of depression on the relationship between sleep misperception and insomnia severity. The results highlight the importance of considering depression and sleep misperception in insomnia treatment.
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Objectives@#Currently, more than 80% of Korean police officers are assigned to a 24-hour rotating shift system. Shift workers’ sleep patterns change frequently, which may result in circadian rhythm desynchrony and sleep disturbance. The goal of this study was to compare sleep and cognitive functioning in different shift types. In addition, we analyzed the difference in cognitive functioning depending on whether shift workers took a night nap prior to their night shift. @*Methods@#A total of 278 police officers working in Seoul (mean age 45.27±9.00 years, 88.5% male) participated, providing demographic information and completing selfreport questionnaires [Insomnia Severity Index, Epworth Sleepiness Scale, Munich ChronoType Questionnaire (Shift-work type), Patient Health Questionnaire-9]. Participants also performed the Psychomotor Vigilance Task, Trail Making Test A & B, and Stroop Test. @*Results@#Participants included 57 (20.5%) day workers and 221 (79.5%) shift workers. The average Insomnia Severity Index score of shift workers was significantly higher than day workers (t=-2.861, p=0.005). Shift workers also slept about 0.78 hours less than day workers (t=4.730, p<0.001). Among shift workers, 66.3% (n=128) reported they took night naps prior to their night shift, sleeping on average 1.78 hours. Shift workers who took night naps had faster reaction times on the Trail Making Test A task [F(1, 136)=5.741, p=0.018], and significantly fewer Stroop C errors [F(1, 137)=5.638, p=0.019] than those who did not. @*Conclusions@#Shift working police officers reported significantly worse insomnia symptoms and slept less compared to their non-shift-working counterparts. Taking a night nap improved focused and selective attention.
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Objectives@#Sleep misperception is the underestimation of perceived total sleep time compared to actual total sleep time. It is observed in approximately 50% of patients with insomnia. Insomnia patients with sleep misperception report significantly higher depression than those without sleep misperception. Depression is one of the most consistent risk factors for predicting insomnia. Therefore, this study attempted to confirm the mediating effect of depression in exacerbating insomnia. @*Methods@#This study included 77 male and female aged 18–40 years who met diagnostic criteria for insomnia disorder based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. Depression and insomnia severity were measured using self-report questionnaires, and actigraphy data were collected for 1 week. The sleep misperception index was calculated using the sleep diary and actigraphy. @*Results@#The Pearson correlation analysis was performed to examine the relationships between sleep misperception, insomnia, and depression. Sleep misperception was positively associated with depression (r=0.399, p<0.01). There was also a significant positive correlation between depression and insomnia severity (r=0.591, p<0.01). However, there was no significant correlation between sleep misperception and insomnia severity (r=0.210, p=0.07). Depression was found to have a full mediating effect on the relationship between sleep disturbance and severity of insomnia (n=77, B=6.1688, 95% confidence interval=2.9960, 10.4562). @*Conclusions@#This study verified the mediating effect of depression on the relationship between sleep misperception and insomnia severity. The results highlight the importance of considering depression and sleep misperception in insomnia treatment.
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Objectives@#Currently, more than 80% of Korean police officers are assigned to a 24-hour rotating shift system. Shift workers’ sleep patterns change frequently, which may result in circadian rhythm desynchrony and sleep disturbance. The goal of this study was to compare sleep and cognitive functioning in different shift types. In addition, we analyzed the difference in cognitive functioning depending on whether shift workers took a night nap prior to their night shift. @*Methods@#A total of 278 police officers working in Seoul (mean age 45.27±9.00 years, 88.5% male) participated, providing demographic information and completing selfreport questionnaires [Insomnia Severity Index, Epworth Sleepiness Scale, Munich ChronoType Questionnaire (Shift-work type), Patient Health Questionnaire-9]. Participants also performed the Psychomotor Vigilance Task, Trail Making Test A & B, and Stroop Test. @*Results@#Participants included 57 (20.5%) day workers and 221 (79.5%) shift workers. The average Insomnia Severity Index score of shift workers was significantly higher than day workers (t=-2.861, p=0.005). Shift workers also slept about 0.78 hours less than day workers (t=4.730, p<0.001). Among shift workers, 66.3% (n=128) reported they took night naps prior to their night shift, sleeping on average 1.78 hours. Shift workers who took night naps had faster reaction times on the Trail Making Test A task [F(1, 136)=5.741, p=0.018], and significantly fewer Stroop C errors [F(1, 137)=5.638, p=0.019] than those who did not. @*Conclusions@#Shift working police officers reported significantly worse insomnia symptoms and slept less compared to their non-shift-working counterparts. Taking a night nap improved focused and selective attention.
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BACKGROUND@#AND PURPOSE: Shift workers frequently suffer from insomnia and mood disturbances, but little is known about the relationships of these conditions with the chronotypes and different working schedules of shift workers. We hypothesized that different shift-work schedules are associated with different severities of sleep and mood disturbances, and that the individual chronotype plays a role in sleep disturbances in shift workers.@*METHODS@#This study enrolled 276 participants, comprising 77 nurses working in a three-shift schedule (3S, 27.9%), 60 firefighters working in a 24-h-every-other-day shift schedule (EOD, 21.7%), and 139 day workers (DW, 50.4%). All of the participants completed the following questionnaires to assess their sleep disturbances, mood, and chronotype: Insomnia Severity Index (ISI), Epworth Sleepiness Scale, Hospital Anxiety and Depression Scale, and Morningness-Eveningness Questionnaire.@*RESULTS@#ISI questionnaires were worse in both shift workers compare to DW, 35.1% of 3S, 23% of EOD had clinically significant insomnia (ISI score >14). Depressive mood and anxiety symptom were significantly worse in 3S compare to EOD. The sleep disturbance by ISI score had significant correlations with depressive mood and anxiety symptoms for both EOD and 3S (EOD: rho=0.57, rho=0.57, 3S: rho=0.37, rho=0.33 respectively). Chronotype type in shift workers had no significant correlation with sleep disturbance, depressive mood, nor anxiety symptom. However, after adjustment, the eveningness chronotype have relationship to the depressive mood in shift workers.@*CONCLUSIONS@#Sleep disturbances are more frequent in shift workers than DW. Depressive mood and anxiety symptoms were frequently reported in 3S, then EOD. Different shift schedules cab be a determinant of depressive mood and anxiety symptom.
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Objectives@#Circadian misalignment may increase the risk of obesity and related obstructive sleep apnea (OSA). Considerable young adults have social jetlag (SJL), which is defined as the time discrepancy between workdays and free days. We aim to evaluate the relationship between SJL and sleep and respiratory disturbance in patients with untreated OSA patients. @*Methods@#A total of 180 OSA patients under the age of 50 [mean 38.3±8.0 y, 93.3% male, mean apnea-hypopnea index (AHI) 38.2±27.4 /h] were recruited from the university affiliated sleep clinic and fulfilled sleep-related questionnaires including Munich Chronotype Questionnaire (MCTQ). SJL was defined as the difference in sleep midpoints between work and free days. Patients were divided into three groups with SJL less than 1 hour, 1–2 hours, and 2 hours or more and the clinical and sleep data of each group were compared. @*Results@#51.6% (n=93) suffered from significant SJL (≥1 h). Patients with ≥2h of SJL (16.6%, n=30) had the largest neck circumference (NC). AHI and sleep parameters were not significantly different among groups except lowest oxygen saturation (LoS) was the lowest in the group of ≥2 h. SJL was positively correlated with body mass index and NC and negatively correlated with LoS after adjusting for age and sex. @*Conclusions@#About a half of young adults with OSA have significant SJL more than 1 h. This study suggests that SJL is associated with being overweight, while it seems not increase the severity of OSA nor deteriorate sleep quality in young adults.
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Objectives@#Circadian misalignment may increase the risk of obesity and related obstructive sleep apnea (OSA). Considerable young adults have social jetlag (SJL), which is defined as the time discrepancy between workdays and free days. We aim to evaluate the relationship between SJL and sleep and respiratory disturbance in patients with untreated OSA patients. @*Methods@#A total of 180 OSA patients under the age of 50 [mean 38.3±8.0 y, 93.3% male, mean apnea-hypopnea index (AHI) 38.2±27.4 /h] were recruited from the university affiliated sleep clinic and fulfilled sleep-related questionnaires including Munich Chronotype Questionnaire (MCTQ). SJL was defined as the difference in sleep midpoints between work and free days. Patients were divided into three groups with SJL less than 1 hour, 1–2 hours, and 2 hours or more and the clinical and sleep data of each group were compared. @*Results@#51.6% (n=93) suffered from significant SJL (≥1 h). Patients with ≥2h of SJL (16.6%, n=30) had the largest neck circumference (NC). AHI and sleep parameters were not significantly different among groups except lowest oxygen saturation (LoS) was the lowest in the group of ≥2 h. SJL was positively correlated with body mass index and NC and negatively correlated with LoS after adjusting for age and sex. @*Conclusions@#About a half of young adults with OSA have significant SJL more than 1 h. This study suggests that SJL is associated with being overweight, while it seems not increase the severity of OSA nor deteriorate sleep quality in young adults.
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OBJECTIVES: Bedtime procrastination is defined as going to bed later than intended, without having external reasons for doing so. Despite various studies investigating the new concept of bedtime procrastination, there have been no studies that have validated the Bedtime Procrastination Scale (BPS). Thus, this study aims to validate the BPS in Korean. METHODS: Two hundred twenty seven participants (mean age 22±2.39 years, 81.1% female) participated in the study. All participants completed the BPS, Insomnia Severity Index, Center for Epidemiologic Studies Depression Scale, Perceived Stress Scale, Depressive Symptom Inventory-Suicidality Subscale, and General Procrastination Scale (GPS). Exploratory factor analysis was used to determine number of factors. RESULTS: Exploratory factor analysis revealed support for one factor, which was consistent with the original study. Goodness of fit was adequate for the one factor model [χ²=59.369(df=27, p<0.001), Comparative Fit Index=0.963, Tucker-Lewis Index=0.951, Root Mean Square Error of Approximation= 0.073, Standardized Root Mean Square Residual=0.042]. Internal consistency was also adequate (Cronbach's alpha=0.86). Convergent validity was also high with the GPS (p<0.001, r=0.411). Correlations were also high with other questionnaires (p<0.05). CONCLUSIONS: The BPS is a reliable and valid measure for bedtime procrastination, and may have important clinical implications for sleep disorders.
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Humanos , Adulto Joven , Depresión , Estudios Epidemiológicos , Análisis Factorial , Privación de Sueño , Trastornos del Inicio y del Mantenimiento del Sueño , Trastornos del Sueño-VigiliaRESUMEN
Nightmares are vivid, unpleasant dreams that result in awakening during sleep. According to previous studies, the prevalence of nightmare disorder is 2–5% of the general population and is associated with other medical conditions and mental illnesses. Imagery rehearsal therapy (IRT) is an evidence-based treatment for nightmare disorder. The current study is a case study with a 35-year-old female who was diagnosed with nightmare disorder and posttraumatic stress disorder, and participated in IRT for five sessions. Prior to treatment, the patient reported difficulties initiating and maintaining sleep, and reported suffering from nightmares more than 2–3 times per week. After treatment, the patient reported no longer experienced nightmares, accompanied by improvements in both sleep and clinical indicators.
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Adulto , Femenino , Humanos , Sueños , Prevalencia , Trastornos del Inicio y del Mantenimiento del Sueño , Trastornos por Estrés PostraumáticoRESUMEN
BACKGROUND: Children today are exposed to various media devices, and their usage of these is increasing. Prior studies have outlined forms of harm this can potentially cause. However, there has been little empirical research on the use of media devices among preschool children in Asia. The aim of this study was to examine and analyze longitudinal trends in media device use among Korean preschool children, focusing on the frequency of engagement, time spent with, and ownership of media devices, delineated by sex. METHODS: Four hundred parents of children aged 2–5 years were invited to enroll. The baseline assessment, Wave 1, was conducted between December 2015 and June 2016, and follow-up assessments, Wave 2 and Wave 3, were conducted annually for the following 2 years. Time of media use, frequency of media use, and ownership of media devices (TV, tablet PCs, and smartphones) were investigated. RESULTS: Ownership of tablet PCs increased significantly between Wave 1 and Wave 3 for boys and girls (corrected P < 0.001). Frequency of media use increased significantly between Wave 1 and Wave 3 only in boys' use of tablet PCs (mean difference 0.8 day/wk). Time of media use increased significantly between Wave 1 and Wave 3 for both sexes in all devices, measured by mean difference on weekdays and weekends (TV by 0.6 and 0.7 hr/day, tablet PCs by 0.6 and 0.8 hr/day, and smartphones by 0.4 and 0.4 hr/day). Children spent more time using media devices during weekends than on weekdays. CONCLUSION: This study observed an increase in the tendency of media device use among preschool children in Korea. The patterns of use indicate that paying attention to the types of devices children use is needed, as well as vigilance on weekends.