Objectives: Food neophobia in children is often associated with limited exposure and familiarity to some foods. Cooking-based nutrition education (CBNE), which promotes acceptance through direct experience, may support the development of healthy eating habits. This study aimed to develop and implement a standardized CBNE program for school-aged children in Seoul, South Korea, and to evaluate its effectiveness by assessing changes in raw vegetable intake. Raw vegetable intake is an early indicator of the effectiveness of nutrition education on diverse topics in promoting healthy eating habits. Methods: A single-group pre–post study was conducted with 37 children aged 6–11 years who participated in a 2-day CBNE program in October 2023. The participants completed pre- and post-education questionnaires and raw vegetable intake assessments. Four low-preference vegetables (bell pepper, carrot, cucumber, and tomato) were selected and served raw (25 g each) before and after the program. Intake changes were analyzed using paired t-tests, and Pearson’s correlation and hierarchical regression analyses were performed to identify predictors. Results: Total raw vegetable intake significantly increased post-education (P = 0.008), particularly for carrots (P = 0.023). By subgroup, raw vegetable intake significantly increased in girls, upper-grade students, and those who consumed four or more vegetable side dishes per meal. Hierarchical regression analysis revealed that while vegetable preference was initially significant, vegetable-related experiences (β = 0.395, P = 0.026) and diversity of vegetable side dishes per meal (β = 0.403, P = 0.032) were stronger predictors in the final model (adj R2 = 0.333). Conclusion The CBNE program may enhance vegetable intake in children. Although preference remained the strongest individual factor, vegetable experience and the diversity of vegetable side dishes per meal had a greater combined effect. These findings underscore the importance of repeated and diverse exposure, not only by supporting previous studies that link such exposure to increased intake but also by suggesting that environmental support may be essential for sustaining healthy eating habits.

Objectives: To reduce urban carbon emissions, in this study, we aimed to suggest strategies for disseminating the planetary health diet (PHD) guidelines to adult cafeterias in a government worksite in Seoul based on the theory of planned behavior (TPB) and focus group interviews (FGI). Methods: A total of 132 adults who worked at a government worksite in Seoul and used its cafeteria were included for a TPB-based survey. Factor analyses and multiple regression were used to investigate the relationships between attitude (cognitive•affective), subjective norms, and perceived behavioral control (PBC, internal•external) and the behavioral intention to adopt the PHD. To identify the contextual factors related to PHD dissemination, 14 participants underwent in-depth interviews. Results: Affective attitudes and PBC (internal•external) constructs of the TPB were significantly related with the intention to adopt PHD: external PBC (β = 0.324, P < 0.001), internal PBC (β = 0.269, P < 0.01), and affective attitudes (β = 0.226, P < 0.05). The FGI results highlighted the insufficiency of simply providing healthy meals to encourage the adoption of PHDs, but that menu development and natural acceptance strategies are needed to increase palatability. In addition, the need for strategies to promote PHDs at an organizational level was identified, as it is directly influenced by the company of partners with whom one dines. Furthermore, users' perceptions of how “Meals for the Planet” are delivered and suggestions for its improvement were also interpreted. Conclusion Our results suggest that users' beliefs, convictions, and emotions are important while promoting or educating individuals about sustainable PHDs. Our findings are expected to help local governments or private group cafeterias that wish to introduce PHDs in the future, given the growing importance of environmentally conscious eating.

Purpose: This study compared the diagnostic performance of quantitative ultrasonography (QUS) with that of conventional ultrasonography (US) in assessing hepatic steatosis among individuals undergoing health screening using magnetic resonance imaging–derived proton density fat fraction (MRI-PDFF) as the reference standard. Methods: This single-center prospective study enrolled 427 participants who underwent abdominal MRI and US. Measurements included the attenuation coefficient in tissue attenuation imaging (TAI) and the scatter-distribution coefficient in tissue scatter-distribution imaging (TSI). The correlation between QUS and MRI-PDFF was evaluated. The diagnostic capabilities of QUS, conventional B-mode US, and their combined models for detecting hepatic fat content of ≥5% (MRI-PDFF ≥5%) and ≥10% (MRI-PDFF ≥10%) were compared by analyzing the areas under the receiver operating characteristic curves. Additionally, clinical risk factors influencing the diagnostic performance of QUS were identified using multivariate linear regression analyses. Results: TAI and TSI were strongly correlated with MRI-PDFF (r=0.759 and r=0.802, respectively; both P<0.001) and demonstrated good diagnostic performance in detecting and grading hepatic steatosis. The combination of QUS and B-mode US resulted in the highest areas under the ROC curve (AUCs) (0.947 and 0.975 for detecting hepatic fat content of ≥5% and ≥10%, respectively; both P<0.05), compared to TAI, TSI, or B-mode US alone (AUCs: 0.887, 0.910, 0.878 for ≥5% and 0.951, 0.922, 0.875 for ≥10%, respectively). The independent determinants of QUS included skinliver capsule distance (β=7.134), hepatic fibrosis (β=4.808), alanine aminotransferase (β=0.202), triglyceride levels (β=0.027), and diabetes mellitus (β=3.710). Conclusion QUS is a useful and effective screening tool for detecting and grading hepatic steatosis during health checkups.

Background: s/Aims: Reported incidence of extrahepatic bile duct cancer is higher in Asians than in Western populations. Korea, in particular, is one of the countries with the highest incidence rates of extrahepatic bile duct cancer in the world. Although research and innovative therapeutic modalities for extrahepatic bile duct cancer are emerging, clinical guidelines are currently unavailable in Korea. The Korean Society of Hepato-Biliary-Pancreatic Surgery in collaboration with related societies (Korean Pancreatic and Biliary Surgery Society, Korean Society of Abdominal Radiology, Korean Society of Medical Oncology, Korean Society of Radiation Oncology, Korean Society of Pathologists, and Korean Society of Nuclear Medicine) decided to establish clinical guideline for extrahepatic bile duct cancer in June 2021. Methods: Contents of the guidelines were developed through subgroup meetings for each key question and a preliminary draft was finalized through a Clinical Guidelines Committee workshop. Results: In November 2021, the finalized draft was presented for public scrutiny during a formal hearing. Conclusions The extrahepatic guideline committee believed that this guideline could be helpful in the treatment of patients.

Purpose: This study compared the diagnostic performance of quantitative ultrasonography (QUS) with that of conventional ultrasonography (US) in assessing hepatic steatosis among individuals undergoing health screening using magnetic resonance imaging–derived proton density fat fraction (MRI-PDFF) as the reference standard. Methods: This single-center prospective study enrolled 427 participants who underwent abdominal MRI and US. Measurements included the attenuation coefficient in tissue attenuation imaging (TAI) and the scatter-distribution coefficient in tissue scatter-distribution imaging (TSI). The correlation between QUS and MRI-PDFF was evaluated. The diagnostic capabilities of QUS, conventional B-mode US, and their combined models for detecting hepatic fat content of ≥5% (MRI-PDFF ≥5%) and ≥10% (MRI-PDFF ≥10%) were compared by analyzing the areas under the receiver operating characteristic curves. Additionally, clinical risk factors influencing the diagnostic performance of QUS were identified using multivariate linear regression analyses. Results: TAI and TSI were strongly correlated with MRI-PDFF (r=0.759 and r=0.802, respectively; both P<0.001) and demonstrated good diagnostic performance in detecting and grading hepatic steatosis. The combination of QUS and B-mode US resulted in the highest areas under the ROC curve (AUCs) (0.947 and 0.975 for detecting hepatic fat content of ≥5% and ≥10%, respectively; both P<0.05), compared to TAI, TSI, or B-mode US alone (AUCs: 0.887, 0.910, 0.878 for ≥5% and 0.951, 0.922, 0.875 for ≥10%, respectively). The independent determinants of QUS included skinliver capsule distance (β=7.134), hepatic fibrosis (β=4.808), alanine aminotransferase (β=0.202), triglyceride levels (β=0.027), and diabetes mellitus (β=3.710). Conclusion QUS is a useful and effective screening tool for detecting and grading hepatic steatosis during health checkups.

Many countries have published clinical practice guidelines for appropriate clinical decisions, optimal treatment, and improved clinical outcomes in patients with acute coronary syndrome. Developing guidelines that are specifically tailored to the Korean environment is crucial, considering the treatment system, available medications and medical devices, racial differences, and level of language communication. In 2017, the Korean Society of Myocardial Infarction established a guideline development committee. However, at that time, it was not feasible to develop guidelines, owing to the lack of knowledge and experience in guideline development and the absence of methodology experts. In 2022, the National EvidenceBased Healthcare Collaborating Agency collaborated with a relevant academic association to develop internationally reliable guidelines, with strict adherence to the methodology for evidence-based guideline development. The first Korean acute coronary syndrome guideline starts from the 9 key questions for pharmacotherapy.

Purpose: This study compared the diagnostic performance of quantitative ultrasonography (QUS) with that of conventional ultrasonography (US) in assessing hepatic steatosis among individuals undergoing health screening using magnetic resonance imaging–derived proton density fat fraction (MRI-PDFF) as the reference standard. Methods: This single-center prospective study enrolled 427 participants who underwent abdominal MRI and US. Measurements included the attenuation coefficient in tissue attenuation imaging (TAI) and the scatter-distribution coefficient in tissue scatter-distribution imaging (TSI). The correlation between QUS and MRI-PDFF was evaluated. The diagnostic capabilities of QUS, conventional B-mode US, and their combined models for detecting hepatic fat content of ≥5% (MRI-PDFF ≥5%) and ≥10% (MRI-PDFF ≥10%) were compared by analyzing the areas under the receiver operating characteristic curves. Additionally, clinical risk factors influencing the diagnostic performance of QUS were identified using multivariate linear regression analyses. Results: TAI and TSI were strongly correlated with MRI-PDFF (r=0.759 and r=0.802, respectively; both P<0.001) and demonstrated good diagnostic performance in detecting and grading hepatic steatosis. The combination of QUS and B-mode US resulted in the highest areas under the ROC curve (AUCs) (0.947 and 0.975 for detecting hepatic fat content of ≥5% and ≥10%, respectively; both P<0.05), compared to TAI, TSI, or B-mode US alone (AUCs: 0.887, 0.910, 0.878 for ≥5% and 0.951, 0.922, 0.875 for ≥10%, respectively). The independent determinants of QUS included skinliver capsule distance (β=7.134), hepatic fibrosis (β=4.808), alanine aminotransferase (β=0.202), triglyceride levels (β=0.027), and diabetes mellitus (β=3.710). Conclusion QUS is a useful and effective screening tool for detecting and grading hepatic steatosis during health checkups.

Many countries have published clinical practice guidelines for appropriate clinical decisions, optimal treatment, and improved clinical outcomes in patients with acute coronary syndrome. Developing guidelines that are specifically tailored to the Korean environment is crucial, considering the treatment system, available medications and medical devices, racial differences, and level of language communication. In 2017, the Korean Society of Myocardial Infarction established a guideline development committee. However, at that time, it was not feasible to develop guidelines, owing to the lack of knowledge and experience in guideline development and the absence of methodology experts. In 2022, the National EvidenceBased Healthcare Collaborating Agency collaborated with a relevant academic association to develop internationally reliable guidelines, with strict adherence to the methodology for evidence-based guideline development. The first Korean acute coronary syndrome guideline starts from the 9 key questions for pharmacotherapy.

Purpose: This study compared the diagnostic performance of quantitative ultrasonography (QUS) with that of conventional ultrasonography (US) in assessing hepatic steatosis among individuals undergoing health screening using magnetic resonance imaging–derived proton density fat fraction (MRI-PDFF) as the reference standard. Methods: This single-center prospective study enrolled 427 participants who underwent abdominal MRI and US. Measurements included the attenuation coefficient in tissue attenuation imaging (TAI) and the scatter-distribution coefficient in tissue scatter-distribution imaging (TSI). The correlation between QUS and MRI-PDFF was evaluated. The diagnostic capabilities of QUS, conventional B-mode US, and their combined models for detecting hepatic fat content of ≥5% (MRI-PDFF ≥5%) and ≥10% (MRI-PDFF ≥10%) were compared by analyzing the areas under the receiver operating characteristic curves. Additionally, clinical risk factors influencing the diagnostic performance of QUS were identified using multivariate linear regression analyses. Results: TAI and TSI were strongly correlated with MRI-PDFF (r=0.759 and r=0.802, respectively; both P<0.001) and demonstrated good diagnostic performance in detecting and grading hepatic steatosis. The combination of QUS and B-mode US resulted in the highest areas under the ROC curve (AUCs) (0.947 and 0.975 for detecting hepatic fat content of ≥5% and ≥10%, respectively; both P<0.05), compared to TAI, TSI, or B-mode US alone (AUCs: 0.887, 0.910, 0.878 for ≥5% and 0.951, 0.922, 0.875 for ≥10%, respectively). The independent determinants of QUS included skinliver capsule distance (β=7.134), hepatic fibrosis (β=4.808), alanine aminotransferase (β=0.202), triglyceride levels (β=0.027), and diabetes mellitus (β=3.710). Conclusion QUS is a useful and effective screening tool for detecting and grading hepatic steatosis during health checkups.

Purpose: This study compared the diagnostic performance of quantitative ultrasonography (QUS) with that of conventional ultrasonography (US) in assessing hepatic steatosis among individuals undergoing health screening using magnetic resonance imaging–derived proton density fat fraction (MRI-PDFF) as the reference standard. Methods: This single-center prospective study enrolled 427 participants who underwent abdominal MRI and US. Measurements included the attenuation coefficient in tissue attenuation imaging (TAI) and the scatter-distribution coefficient in tissue scatter-distribution imaging (TSI). The correlation between QUS and MRI-PDFF was evaluated. The diagnostic capabilities of QUS, conventional B-mode US, and their combined models for detecting hepatic fat content of ≥5% (MRI-PDFF ≥5%) and ≥10% (MRI-PDFF ≥10%) were compared by analyzing the areas under the receiver operating characteristic curves. Additionally, clinical risk factors influencing the diagnostic performance of QUS were identified using multivariate linear regression analyses. Results: TAI and TSI were strongly correlated with MRI-PDFF (r=0.759 and r=0.802, respectively; both P<0.001) and demonstrated good diagnostic performance in detecting and grading hepatic steatosis. The combination of QUS and B-mode US resulted in the highest areas under the ROC curve (AUCs) (0.947 and 0.975 for detecting hepatic fat content of ≥5% and ≥10%, respectively; both P<0.05), compared to TAI, TSI, or B-mode US alone (AUCs: 0.887, 0.910, 0.878 for ≥5% and 0.951, 0.922, 0.875 for ≥10%, respectively). The independent determinants of QUS included skinliver capsule distance (β=7.134), hepatic fibrosis (β=4.808), alanine aminotransferase (β=0.202), triglyceride levels (β=0.027), and diabetes mellitus (β=3.710). Conclusion QUS is a useful and effective screening tool for detecting and grading hepatic steatosis during health checkups.