Purpose: This qualitative study used interpretative phenomenological analysis and photovoice methods to explore the meaning of non-suicidal self-injury experienced by adolescents. Methods: Participants were adolescents enrolled in middle and high schools in Gyeonggi-do and Jeollabuk-do who were selected through snowball sampling. Six participants had repeatedly engaged in self-injurious behavior for over a year. Data were collected through in-depth interviews and the photovoice method between November 2020 and July 2021. The collected data were analyzed using six steps of interpretative phenomenological analysis. Results: The results yielded 5 main themes and 18 subthemes. The main themes were ‘a silent cry to an indifferent world’, ‘a heartache that one endures with scars’, ‘an inescapable cycle’, ‘filling the space in one’s heart’, and ‘healing the wounds’. The study findings revealed that the self-injurious behavior of adolescents began as a consequence of feeling lost and struggling with conflicts at home and school, which helped them relieve tension and pain. Nonetheless, inflicting self-injury only left signs of regret and remorse, which became a trace that the participants wanted to hide. However, the wounds healed after receiving attention and support from others. They were determined to stop engaging in repeated self-injurious behaviors and made efforts to do so. Conclusion This study can be used as a basis for the development of educational programs to prevent non-suicidal self-injury in adolescents. Additionally, it can inform nursing interventions that focus on building support systems to help adolescents who attempt self-injury.

Purpose: Since the coronavirus disease 2019 (COVID-19) pandemic, the educational environment has moved toward online-based education, which may significantly impact medical students’ educational experiences. However, the same events may be understood differently by different individuals depending on their personalities. Therefore, the changing educational environment during the COVID-19 pandemic may not have been perceived equally by all students. This study aimed to investigate medical students’ personality profiles and the difference between academic burnout and engagement according to their personality profiles. Methods: During the 2021–2022 academic year, when online-based education was implemented due to the pandemic, a survey was conducted among medical students in Korea (N=325). First, we used latent profile analysis to identify the sub-types of the Big Five personalities. Second, we used analysis of variance and post hoc comparisons to study the difference between academic burnout and engagement among these sub-types. Results: The Big Five personality traits of medical students in our sample were classified into three profiles. Profiles with relatively high neuroticism, while other personality traits were low, had both the highest academic burnout and academic engagement. Alternatively, the profiles showing relatively low neuroticism, while other personality traits were high, had the lowest academic burnout and the highest academic engagement. Conclusion Personality is a stable trait that affects an individual’s behavior and response to the environment. Thus, individuals with specific personalities differ in their reactions to their environment. This may provide an advantage to some medical students’ careers.

Purpose: Since the coronavirus disease 2019 (COVID-19) pandemic, the educational environment has moved toward online-based education, which may significantly impact medical students’ educational experiences. However, the same events may be understood differently by different individuals depending on their personalities. Therefore, the changing educational environment during the COVID-19 pandemic may not have been perceived equally by all students. This study aimed to investigate medical students’ personality profiles and the difference between academic burnout and engagement according to their personality profiles. Methods: During the 2021–2022 academic year, when online-based education was implemented due to the pandemic, a survey was conducted among medical students in Korea (N=325). First, we used latent profile analysis to identify the sub-types of the Big Five personalities. Second, we used analysis of variance and post hoc comparisons to study the difference between academic burnout and engagement among these sub-types. Results: The Big Five personality traits of medical students in our sample were classified into three profiles. Profiles with relatively high neuroticism, while other personality traits were low, had both the highest academic burnout and academic engagement. Alternatively, the profiles showing relatively low neuroticism, while other personality traits were high, had the lowest academic burnout and the highest academic engagement. Conclusion Personality is a stable trait that affects an individual’s behavior and response to the environment. Thus, individuals with specific personalities differ in their reactions to their environment. This may provide an advantage to some medical students’ careers.

Purpose: Since the coronavirus disease 2019 (COVID-19) pandemic, the educational environment has moved toward online-based education, which may significantly impact medical students’ educational experiences. However, the same events may be understood differently by different individuals depending on their personalities. Therefore, the changing educational environment during the COVID-19 pandemic may not have been perceived equally by all students. This study aimed to investigate medical students’ personality profiles and the difference between academic burnout and engagement according to their personality profiles. Methods: During the 2021–2022 academic year, when online-based education was implemented due to the pandemic, a survey was conducted among medical students in Korea (N=325). First, we used latent profile analysis to identify the sub-types of the Big Five personalities. Second, we used analysis of variance and post hoc comparisons to study the difference between academic burnout and engagement among these sub-types. Results: The Big Five personality traits of medical students in our sample were classified into three profiles. Profiles with relatively high neuroticism, while other personality traits were low, had both the highest academic burnout and academic engagement. Alternatively, the profiles showing relatively low neuroticism, while other personality traits were high, had the lowest academic burnout and the highest academic engagement. Conclusion Personality is a stable trait that affects an individual’s behavior and response to the environment. Thus, individuals with specific personalities differ in their reactions to their environment. This may provide an advantage to some medical students’ careers.

Purpose: Since the coronavirus disease 2019 (COVID-19) pandemic, the educational environment has moved toward online-based education, which may significantly impact medical students’ educational experiences. However, the same events may be understood differently by different individuals depending on their personalities. Therefore, the changing educational environment during the COVID-19 pandemic may not have been perceived equally by all students. This study aimed to investigate medical students’ personality profiles and the difference between academic burnout and engagement according to their personality profiles. Methods: During the 2021–2022 academic year, when online-based education was implemented due to the pandemic, a survey was conducted among medical students in Korea (N=325). First, we used latent profile analysis to identify the sub-types of the Big Five personalities. Second, we used analysis of variance and post hoc comparisons to study the difference between academic burnout and engagement among these sub-types. Results: The Big Five personality traits of medical students in our sample were classified into three profiles. Profiles with relatively high neuroticism, while other personality traits were low, had both the highest academic burnout and academic engagement. Alternatively, the profiles showing relatively low neuroticism, while other personality traits were high, had the lowest academic burnout and the highest academic engagement. Conclusion Personality is a stable trait that affects an individual’s behavior and response to the environment. Thus, individuals with specific personalities differ in their reactions to their environment. This may provide an advantage to some medical students’ careers.

Community-acquired pneumonia is the leading cause of pediatric morbidity and mortality. However, there is a lack of data on the epidemiology of pneumonia in Korean children. In this review, we aimed to summarize pneumonia studies in Korea and suggest diagnostic methods and treatment for Korean children who were referred based on the foreign guidelines for pediatric community-acquired pneumonia. A Korean guideline for pediatric pneumonia in tune with domestic circumstances is needed.
Child* ; Epidemiology ; Humans ; Korea ; Mortality ; Pneumonia*

Atopic dermatitis is the most common chronic inflammatory skin disease in children. It usually develops in infancy and early childhood and is an entry point of ‘atopic march’, which may progress to other allergic diseases, including allergic rhinitis and asthma. Although there is no disagreement on the importance of early treatment of atopic dermatitis, it is difficult to treat children with moderate to severe atopic dermatitis due to concerns about treatment-related side effects and age restrictions for effective drugs in real world. As recent researches have extend our understanding of pathogenesis, new agents targeted key pathologic mechanisms have been developed. Therefore, it is time to establish a new paradigm of treatment for children with atopic dermatitis since new biologics have been demonstrated to be effective and safe in children. The objective of this article is to review the clinical characteristics, severity classification, pathogenesis, and treatment, in particular, biologics already approved/undergoing clinical trials for children with atopic dermatitis.

OBJECTIVES: The purpose of this study is to develop a method of evaluation based on finite element analysis (FEA) using micro-CT images for the measurement of trabecular bone strength. METHODS: The primary compressive trabeculae were obtained from the human femoral head of three cadavers (21 year old male (M/21), 51 year old male (M/51), 51 year old female (F/51). All bone specimens were scanned using micro-CT at 24.9microm of spatial resolution under 70 kV's voltage and current of 141microA. The percent bone volume was calculated from the CTAn (SKYSCAN, Belgium) software, it's represented the bone mineral density (BMD). After scanning, the finite element model was reconstructed based on micro-CT images. All models were applied to be linear elastic, isotropic, and uniform with a tissue modulus of 5.17 GPa and a tissue Poisson's ratio of 0.3. RESULTS: The percent bone volume(%) were 31.819 (+/-0.648), 21.513 (+/-2.489), 20.280 (+/-1.891) and Bone strength (MPa) were 187.741 (+/-13.006), 61.585 (+/-11.094), 61.266 (+/-16.744) in M/20, M/51 and F/51. The trabecular bone strength of the primary compressive trabeculae in M/20 was 3 times more than the trabecular bone strength in M/51 and F/51. The percent bone volume in M/20 was 148% and 157% higher than the percent bone volume in M/51 and F/51. CONCLUSIONS: The finite element analysis is more sensitive than the percent bone volume in reflecting the morphometry index of primary compressive trabeculae. The high resolution FEA reconstructed from high resolution MRI or high resolution CT may improve the evaluation of trabecular bone strength in the medical field.
Bone Density ; Cadaver ; Female ; Finite Element Analysis ; Head ; Humans ; Male

No abstract available.
Humans ; Intubation

Purpose: Little is known about blood markers related to eosinophils in healthy individuals. We aimed to identify blood markers from routine tests associated with blood eosinophil count (BEC) in healthy individuals. Methods: Based on the complex interactions among blood markers, we used comprehensive analysis methods (regression, Bayesian network [BN], and partial correlation) and a health check-up database. To test consistency, we repeated the analysis using data from 3 check-ups of the same healthy individual. Results: A total of 12,625 individuals were enrolled in this study. Four groups were defined according to sex and smoking status: nonsmoking men (n=1,737), smoking men (n=6,518), nonsmoking women (n=3,995), and smoking women (n=375). The blood bilirubin and γ-glutamyltransferase levels showed significant associations with BEC by regression analysis. However, BN analysis found that only the bilirubin node was directly connected to the BEC node. By partial correlation analysis, the blood bilirubin level showed significantly negative association with BEC. The same results were obtained across all the 3 health check-ups, except in smoking women. In addition, a lower blood bilirubin level predicted a significantly elevated BEC (especially ≥200/µL). The blood bilirubin levels measured at 3 time-points were significantly associated with BEC in men and nonsmoking women. Conclusion The blood bilirubin level, which is easily obtained by routine test in clinical practice, may be a useful marker for BEC.