Insomnia is a prevalent disorder that affects 4% to 22% of the population in the United States. While cognitive behavioral therapy for insomnia (CBT-I) remains the gold standard for non-pharmacological treatment, accessibility barriers exist owing to a shortage of trained professionals and high costs. This review examines the efficacy of the individual components of CBT-I as stand-alone interventions to improve treatment accessibility, digital CBT-I, and other non-pharmacological interventions. Guidelines from organizations such as the American Academy of Sleep Medicine and, European Sleep Research Society, along with recent meta-analyses, support the effectiveness of these components as stand-alone treatments. Sleep restriction therapy and stimulus control therapy show promise as effective interventions. Although recommended by certain guidelines, relaxation therapy has yielded mixed results. Sleep hygiene education, a common component of CBT-I, has not demonstrated significant efficacy as a stand-alone treatment. Cognitive strategies have shown promise in recent studies. Sufficient clinical evidence supports the efficacy of digital CBT-I in treating insomnia. Internationally, various platforms for digital CBT-I have already been developed and are in use, and in South Korea, some digital CBT-I software programs have received digital therapeutic device approval in 2023. This review highlights the potential of individual components of CBT-I as effective stand-alone interventions for insomnia, as well as digital CBT-I, emphasizing their importance for improving the accessibility of non-pharmacological insomnia treatments in clinical settings where full CBT-I may not be available.

Insomnia is a prevalent disorder that affects 4% to 22% of the population in the United States. While cognitive behavioral therapy for insomnia (CBT-I) remains the gold standard for non-pharmacological treatment, accessibility barriers exist owing to a shortage of trained professionals and high costs. This review examines the efficacy of the individual components of CBT-I as stand-alone interventions to improve treatment accessibility, digital CBT-I, and other non-pharmacological interventions. Guidelines from organizations such as the American Academy of Sleep Medicine and, European Sleep Research Society, along with recent meta-analyses, support the effectiveness of these components as stand-alone treatments. Sleep restriction therapy and stimulus control therapy show promise as effective interventions. Although recommended by certain guidelines, relaxation therapy has yielded mixed results. Sleep hygiene education, a common component of CBT-I, has not demonstrated significant efficacy as a stand-alone treatment. Cognitive strategies have shown promise in recent studies. Sufficient clinical evidence supports the efficacy of digital CBT-I in treating insomnia. Internationally, various platforms for digital CBT-I have already been developed and are in use, and in South Korea, some digital CBT-I software programs have received digital therapeutic device approval in 2023. This review highlights the potential of individual components of CBT-I as effective stand-alone interventions for insomnia, as well as digital CBT-I, emphasizing their importance for improving the accessibility of non-pharmacological insomnia treatments in clinical settings where full CBT-I may not be available.

Insomnia is a prevalent disorder that affects 4% to 22% of the population in the United States. While cognitive behavioral therapy for insomnia (CBT-I) remains the gold standard for non-pharmacological treatment, accessibility barriers exist owing to a shortage of trained professionals and high costs. This review examines the efficacy of the individual components of CBT-I as stand-alone interventions to improve treatment accessibility, digital CBT-I, and other non-pharmacological interventions. Guidelines from organizations such as the American Academy of Sleep Medicine and, European Sleep Research Society, along with recent meta-analyses, support the effectiveness of these components as stand-alone treatments. Sleep restriction therapy and stimulus control therapy show promise as effective interventions. Although recommended by certain guidelines, relaxation therapy has yielded mixed results. Sleep hygiene education, a common component of CBT-I, has not demonstrated significant efficacy as a stand-alone treatment. Cognitive strategies have shown promise in recent studies. Sufficient clinical evidence supports the efficacy of digital CBT-I in treating insomnia. Internationally, various platforms for digital CBT-I have already been developed and are in use, and in South Korea, some digital CBT-I software programs have received digital therapeutic device approval in 2023. This review highlights the potential of individual components of CBT-I as effective stand-alone interventions for insomnia, as well as digital CBT-I, emphasizing their importance for improving the accessibility of non-pharmacological insomnia treatments in clinical settings where full CBT-I may not be available.

Insomnia is a prevalent disorder that affects 4% to 22% of the population in the United States. While cognitive behavioral therapy for insomnia (CBT-I) remains the gold standard for non-pharmacological treatment, accessibility barriers exist owing to a shortage of trained professionals and high costs. This review examines the efficacy of the individual components of CBT-I as stand-alone interventions to improve treatment accessibility, digital CBT-I, and other non-pharmacological interventions. Guidelines from organizations such as the American Academy of Sleep Medicine and, European Sleep Research Society, along with recent meta-analyses, support the effectiveness of these components as stand-alone treatments. Sleep restriction therapy and stimulus control therapy show promise as effective interventions. Although recommended by certain guidelines, relaxation therapy has yielded mixed results. Sleep hygiene education, a common component of CBT-I, has not demonstrated significant efficacy as a stand-alone treatment. Cognitive strategies have shown promise in recent studies. Sufficient clinical evidence supports the efficacy of digital CBT-I in treating insomnia. Internationally, various platforms for digital CBT-I have already been developed and are in use, and in South Korea, some digital CBT-I software programs have received digital therapeutic device approval in 2023. This review highlights the potential of individual components of CBT-I as effective stand-alone interventions for insomnia, as well as digital CBT-I, emphasizing their importance for improving the accessibility of non-pharmacological insomnia treatments in clinical settings where full CBT-I may not be available.

Insomnia is a prevalent disorder that affects 4% to 22% of the population in the United States. While cognitive behavioral therapy for insomnia (CBT-I) remains the gold standard for non-pharmacological treatment, accessibility barriers exist owing to a shortage of trained professionals and high costs. This review examines the efficacy of the individual components of CBT-I as stand-alone interventions to improve treatment accessibility, digital CBT-I, and other non-pharmacological interventions. Guidelines from organizations such as the American Academy of Sleep Medicine and, European Sleep Research Society, along with recent meta-analyses, support the effectiveness of these components as stand-alone treatments. Sleep restriction therapy and stimulus control therapy show promise as effective interventions. Although recommended by certain guidelines, relaxation therapy has yielded mixed results. Sleep hygiene education, a common component of CBT-I, has not demonstrated significant efficacy as a stand-alone treatment. Cognitive strategies have shown promise in recent studies. Sufficient clinical evidence supports the efficacy of digital CBT-I in treating insomnia. Internationally, various platforms for digital CBT-I have already been developed and are in use, and in South Korea, some digital CBT-I software programs have received digital therapeutic device approval in 2023. This review highlights the potential of individual components of CBT-I as effective stand-alone interventions for insomnia, as well as digital CBT-I, emphasizing their importance for improving the accessibility of non-pharmacological insomnia treatments in clinical settings where full CBT-I may not be available.

OBJECTIVES: Shift work is a stressful situation. It is important to know the factors associated with the ability to adapt to a shift work schedule. The aim of the present study was to investigate the association between sleep, as well as personality variables, and the resilience of shift work nurses. METHOD: Self-report questionnaires were administered to 95 nurses who worked in one national university hospital. Connor-Davidson resilience scale, hospital anxiety and depression scale, morningness-eveningness scale, Pittsburgh sleep quality index, other sleep-related questionnaires, and Korean defense style questionnaires were used. RESULTS: Age, shift work duration, off-day oversleep, depression, anxiety, adaptive defense style, and self-suppressive defense style were significantly associated with resilience (p < 0.05). Multiple regression analysis showed that age (beta = 0.34, p < 0.05), depression (beta = -0.25, p < 0.05), adaptive defense style (beta = 0.45, p < 0.001), and self-suppressive defense style (beta = -0.19, p < 0.05) significantly predicted the resilience of shift work nurses. Concerning individual defense mechanisms, resignation (beta = -0.20, p < 0.05), sublimation (beta = 0.19, p < 0.05), omnipotence (beta = 0.19, p < 0.05), and humor (beta = 0.20, p < 0.05) significantly predicted the resiliency. CONCLUSION: The findings indicate that a specific defense style and other mechanisms were associated with the resilience of shift work nurses. A future prospective study with more participants could further clarify the relationship between sleep-related variables, as well as personality factors, and resilience of shift work nurses.
Anxiety ; Appointments and Schedules ; Defense Mechanisms ; Depression ; Surveys and Questionnaires ; Sublimation

The aim of the study was to evaluate the effect of school violence on depressive symptoms among the offspring of multicultural families in South Korea. Data from the National Survey of Multicultural Families 2012, conducted by the Korean Women's Development Institute and Statistics Korea, were used in this study. Complex samples logistic regression was performed to determine the effect of school violence on depressive mood. The survey participants were 3999 students between the ages of 9 and 24. Of the participants, 22.1% reported experiencing depressive symptoms and 9.1% reported experiencing school violence within the last year. School violence was a strong risk factor (OR=5.142, 95% CI=4.067–6.500) for depressive symptoms after adjusting for personal, familial and school factors. School violence is a serious contributor to depressive mood among the offspring of multicultural families. There is a significant need to monitor school violence among this vulnerable group.
Depression* ; Humans ; Korea* ; Logistic Models ; Risk Factors ; Violence*

Objective: This study investigated the types of daily life stressors associated with social media use in adolescents with problematic Internet/smartphone use in a city in Korea. Methods: Data from 2,997 Internet and smartphone users who participated in a survey about the actual use of smart digital media in Korea were included. The measurement tools included questionnaires on Internet and smartphone usage patterns and types of daily life stressors as well as the Internet Gaming Use-Elicited Symptom Screen and a smartphone addiction scale. The subjects were divided into a problematic Internet/smartphone use group and a control group. We compared the types of daily life stressors associated with social media use for each group. Results: All types of daily life stressors were more prevalent in the problematic Internet use group than in the control group. In the problematic Internet/smartphone use group, the types of daily life stressors that were positively associated with social media use were sibling rivalry and physical health. In the control group, social media use was negatively associated with daily life stressors related to appearance and heterosexual relationships. Conclusion There is a need to provide personalized stress management related to social media use for adolescents with problematic Internet/smartphone use.

Objective: This study investigated the types of daily life stressors associated with social media use in adolescents with problematic Internet/smartphone use in a city in Korea. Methods: Data from 2,997 Internet and smartphone users who participated in a survey about the actual use of smart digital media in Korea were included. The measurement tools included questionnaires on Internet and smartphone usage patterns and types of daily life stressors as well as the Internet Gaming Use-Elicited Symptom Screen and a smartphone addiction scale. The subjects were divided into a problematic Internet/smartphone use group and a control group. We compared the types of daily life stressors associated with social media use for each group. Results: All types of daily life stressors were more prevalent in the problematic Internet use group than in the control group. In the problematic Internet/smartphone use group, the types of daily life stressors that were positively associated with social media use were sibling rivalry and physical health. In the control group, social media use was negatively associated with daily life stressors related to appearance and heterosexual relationships. Conclusion There is a need to provide personalized stress management related to social media use for adolescents with problematic Internet/smartphone use.

Objective:To explore the care burden of the primary caregivers of maintenance hemodialysis (MHD) patients and its correlation with psychological resilience and social support.Methods:From January 2020 to December 2021, 97 MHD patients and 97 primary caregivers admitted to Zhumadian Central Hospital were selected by convenient sampling. The subjects were investigated with the Zarit Caregiver Burden Interview (ZBI) , Connor-Davidson Resilience Scale (CD-RISC) and Social Support Rating Scale (SSRS) . Pearson correlation analysis was used to explore the correlation between the care burden, psychological resilience and social support of the main caregivers of MHD patients. Model 4 in the PROCESS macro program was used to test the intermediary model, and the significance of the intermediary effect was tested by Bootstrap analysis. A total of 97 questionnaires were distributed, and the effective recovery rate was 100.00%.Results:There were statistically significant differences in the ZBI scores of MHD patients' main caregivers with different ages, with or without other care workers, total care time, daily care time, psychological resilience and social support ( P<0.05) . The total ZBI score of the main caregivers of MHD patients was (42.39±10.61) , of which 1.03% (1/97) had no or very mild burden, 44.33% (43/97) had mild burden, 50.52% (49/97) had moderate burden, and 4.12% (4/97) had severe burden. The total score of CD-RISC of the main caregivers of MHD patients was (53.09±5.69) , of which 79.38% (77/97) of the main caregivers had low-level resilience, and 20.62% (20/97) of the main caregivers had medium-level resilience. The total SSRS score of the main caregivers of MHD patients was (30.33±7.19) , of which 21.65% (21/97) of the main caregivers had low-level social support, 76.29% (74/97) of the main caregivers had medium-level social support, and 2.06% (2/97) of the main caregivers had high-level social support. The care burden of the main caregivers of MHD patients was negatively correlated with psychological resilience and social support, and psychological resilience was positively correlated with social support ( P<0.05) . Social support positively predicted psychological resilience and negatively predicted care burden ( P<0.05) . Psychological resilience negatively predicted care burden ( P<0.05) . The intermediary model (dependent variable was care burden; independent variable was social support; intermediary variable was psychological resilience) had a significant intermediary effect. The indirect effect accounted for 79.23% of the total effect, and the direct effect accounted for 20.77% of the total effect. Conclusions:The main caregivers of MHD patients have moderate care burden, and social support can directly affect the care burden, and also indirectly affect the care burden through the mediation of psychological resilience.