No abstract available.
Histiocytoma, Benign Fibrous* ; Humans ; Lymphoma, Large-Cell, Anaplastic ; Lymphoma, Primary Cutaneous Anaplastic Large Cell*

No abstract available.
Female ; Herpes Simplex* ; Humans ; Mastitis*

Molar-incisor malformation (MIM) is a new type of root anomaly reported recently. The characteristics of MIM are dysplastic root formations, constriction of pulp chambers and presence of calcified matrices at the level of cementoenamel junction in permanent first molars and primary second molars. In some cases, permanent maxillary incisors are also affected. The permanent first molars of the patient in this case report were affected with MIM. Generalized pulp stones were observed in overall primary dentition. Micro-computed tomography (micro-CT) imaging and scanning electron microscope-energy dispersive X-ray spectrometer analysis were performed on the extracted mandibular first molar and maxillary primary second molar of the patient. Micro-CT images revealed the discontinuity of enamel directly connected to an accessory canal of the root.

The aim of the study is to compare the fluoride release and recharge properties of glass ionomer cements and ‘alkasite’.
Specimens of two glass ionomer cements (Fuji Ⅸ GP and Riva Self Cure), ‘alkasite’ restorative material (Cention N) and composite resin (FiltekTM Z350XT) were prepared. The fluoride release of each specimen was measured for 28 days. Thereafter, 1.23% acidulated phosphate fluoride (APF) gel was applied to experimental groups. No treatment was performed on control groups. The fluoride release was measured for additional 7 days to evaluate the fluoride recharge properties of each materials.
The fluoride release was highest in Riva Self Cure, followed by Fuji Ⅸ GP, Cention N (p < 0.05). Fluoride release of Cention N was measured to be approximately 49% of Fuji Ⅸ GP’s. After the application of 1.23% APF gel, increases in fluoride release were observed in Riva Self Cure, Fuji Ⅸ GP and Cention N (p < 0.05). Fluoride recharge was observed in Cention N as well as in glass ionomer cements. Further studies are required to evaluate the anti-cariogenic properties of Cention N at clinical conditions.

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

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.