Purpose: This study aimed to investigate the impact of anthropometric indices of obesity (body mass index [BMI], waist circumference, waist hip ratio, and body fat percentage) on the incidence of hypertension in adults with prehypertension. Methods: A longitudinal study design using secondary data form the Korean Genome and Epidemiology Study was employed. The study included 1,838 adults with prehypertension tracked every two years from 2001 to 2018. Statistical analyses, including frequency assessments, number of cases per 1,000 person-years, log-rank tests, Kaplan-Meier curves, and Cox’s proportional hazards regression, were conducted using SPSS version 25. Results: Over the observation period (15,783.6 person-years), 1,136 individuals developed hypertension. The incidence of hypertension was significantly higher in the obesity groups defined by BMI (hazard ratio [HR] = 1.33), waist circumference (HR = 1.34), waist hip ratio (HR = 1.29), and body fat percentage (HR = 1.31) compared to the non-obese group. These findings indicate an increased risk of hypertension associated with obesity as measured by these indices. Conclusion The study underscores the importance of avoiding obesity to prevent hypertension in individuals with prehypertension. Specifically, BMI, waist circumference, waist hip circumference, and body fat percentage were identified as significant risk factors for hypertension. The results suggest the need for individualized weight control interventions, emphasizing the role of health professionals in addressing the heightened hypertension risk in this population.

In recent years, next-generation sequencing (NGS)–based genetic testing has become crucial in cancer care. While its primary objective is to identify actionable genetic alterations to guide treatment decisions, its scope has broadened to encompass aiding in pathological diagnosis and exploring resistance mechanisms. With the ongoing expansion in NGS application and reliance, a compelling necessity arises for expert consensus on its application in solid cancers. To address this demand, the forthcoming recommendations not only provide pragmatic guidance for the clinical use of NGS but also systematically classify actionable genes based on specific cancer types. Additionally, these recommendations will incorporate expert perspectives on crucial biomarkers, ensuring informed decisions regarding circulating tumor DNA panel testing.

Background: Transfusion appropriateness is extremely important due to the growing concerns about the decrease in the supply of blood products and the increase in demand. Considerable time and effort are required to effectively collect and analyze large volumes of data. Therefore, we aimed to develop a transfusion appropriateness management program using the Tableau visual analytics platform, which allows intuitive visualization through various visualization options and interactive features and can quickly process large volumes of data. Methods: Using the transfusion prescription history and blood management and distribution history, we created a data mart comprising patient information, hospitalization history, inpatient/outpatient prescriptions, test results, records, and surgical information. Based on this we developed visualization analysis content for monitoring transfusion appropriateness.We automated the periodic aggregation of the data mart into an analysis database and connected it to Tableau. Results: We developed Transfusion Appropriateness Management (TAM), a program for managing transfusion appropriateness linked to Tableau, after analyzing transfusion-related data and metadata extracted from the Daejeon Eulji Medical Center's order communication system/electronic medical record (OCS/EMR) system. Detailed filters were applied to allow users to intuitively view the desired data according to their criteria. Data were visualized in various forms, such as bar graphs, heat maps, and box plots based on filtering criteria. Conclusion The development of the Transfusion Appropriateness Management program at the Daejeon Eulji Medical Center is expected to effectively reduce inappropriate transfusions in clinical settings and enhance patient safety within the hospital by swiftly and conveniently visualizing vast amounts of data.

Purpose: This study aimed to determine the mediating effect of leader-member exchange (LMX) on the relationship between nursing unit managers’ethical leadership and nurses’turnover intentions. Methods: A cross-sectional nationwide survey was performed using structured questionnaires. A total of 225 clinical nurses working in general tertiary hospitals were recruited through proportional quota sampling; the quota used represented the location of working hospitals in South Korea. Data were collected through an online survey and snowball sampling from June to September 2022 and analyzed using the SPSS 25.0 program. A mediation analysis was performed using a simple mediation model applying the PROCESS macro with 95% bias-corrected bootstrap confidence interval. Results: In bootstrapping, the indirect effect (X→M→Y) was statistically significant (B=-0.77, 95% CI:-1.02 to -0.50). LMX showed a mediating effect on the relationship between nursing unit managers’ethical leadership and clinical nurses’ turnover intention. In this model, the total effect was B=-0.93 (p<.001). Conclusion These findings suggest that LMX must be considered when making a strategy for nursing retention in the hospital setting. Nursing unit managers with ethical leadership could decrease nurses’ turnover intention by improving the LMX.

Purpose: This study aimed to determine the mediating effect of leader-member exchange (LMX) on the relationship between nursing unit managers’ethical leadership and nurses’turnover intentions. Methods: A cross-sectional nationwide survey was performed using structured questionnaires. A total of 225 clinical nurses working in general tertiary hospitals were recruited through proportional quota sampling; the quota used represented the location of working hospitals in South Korea. Data were collected through an online survey and snowball sampling from June to September 2022 and analyzed using the SPSS 25.0 program. A mediation analysis was performed using a simple mediation model applying the PROCESS macro with 95% bias-corrected bootstrap confidence interval. Results: In bootstrapping, the indirect effect (X→M→Y) was statistically significant (B=-0.77, 95% CI:-1.02 to -0.50). LMX showed a mediating effect on the relationship between nursing unit managers’ethical leadership and clinical nurses’ turnover intention. In this model, the total effect was B=-0.93 (p<.001). Conclusion These findings suggest that LMX must be considered when making a strategy for nursing retention in the hospital setting. Nursing unit managers with ethical leadership could decrease nurses’ turnover intention by improving the LMX.

Purpose: This study aimed to determine the mediating effect of leader-member exchange (LMX) on the relationship between nursing unit managers’ethical leadership and nurses’turnover intentions. Methods: A cross-sectional nationwide survey was performed using structured questionnaires. A total of 225 clinical nurses working in general tertiary hospitals were recruited through proportional quota sampling; the quota used represented the location of working hospitals in South Korea. Data were collected through an online survey and snowball sampling from June to September 2022 and analyzed using the SPSS 25.0 program. A mediation analysis was performed using a simple mediation model applying the PROCESS macro with 95% bias-corrected bootstrap confidence interval. Results: In bootstrapping, the indirect effect (X→M→Y) was statistically significant (B=-0.77, 95% CI:-1.02 to -0.50). LMX showed a mediating effect on the relationship between nursing unit managers’ethical leadership and clinical nurses’ turnover intention. In this model, the total effect was B=-0.93 (p<.001). Conclusion These findings suggest that LMX must be considered when making a strategy for nursing retention in the hospital setting. Nursing unit managers with ethical leadership could decrease nurses’ turnover intention by improving the LMX.

Purpose: This study aimed to determine the mediating effect of leader-member exchange (LMX) on the relationship between nursing unit managers’ethical leadership and nurses’turnover intentions. Methods: A cross-sectional nationwide survey was performed using structured questionnaires. A total of 225 clinical nurses working in general tertiary hospitals were recruited through proportional quota sampling; the quota used represented the location of working hospitals in South Korea. Data were collected through an online survey and snowball sampling from June to September 2022 and analyzed using the SPSS 25.0 program. A mediation analysis was performed using a simple mediation model applying the PROCESS macro with 95% bias-corrected bootstrap confidence interval. Results: In bootstrapping, the indirect effect (X→M→Y) was statistically significant (B=-0.77, 95% CI:-1.02 to -0.50). LMX showed a mediating effect on the relationship between nursing unit managers’ethical leadership and clinical nurses’ turnover intention. In this model, the total effect was B=-0.93 (p<.001). Conclusion These findings suggest that LMX must be considered when making a strategy for nursing retention in the hospital setting. Nursing unit managers with ethical leadership could decrease nurses’ turnover intention by improving the LMX.

In recent years, next-generation sequencing (NGS)–based genetic testing has become crucial in cancer care. While its primary objective is to identify actionable genetic alterations to guide treatment decisions, its scope has broadened to encompass aiding in pathological diagnosis and exploring resistance mechanisms. With the ongoing expansion in NGS application and reliance, a compelling necessity arises for expert consensus on its application in solid cancers. To address this demand, the forthcoming recommendations not only provide pragmatic guidance for the clinical use of NGS but also systematically classify actionable genes based on specific cancer types. Additionally, these recommendations will incorporate expert perspectives on crucial biomarkers, ensuring informed decisions regarding circulating tumor DNA panel testing.

OBJECTIVES: We examined the associations of socioeconomic factors, health behaviors, and comorbidities with early-onset lung cancer. METHODS: The study included 6,794,287 individuals aged 20-39 years who participated in a Korean national health check-up program from 2009 to 2012. During the follow-up period, 4,684 participants developed lung cancer. Multivariable Cox regression analysis was used to estimate the independent associations of potential risk factors with incident lung cancer. RESULTS: Older age (multivariable hazard ratio [mHR], 1.13; 95% confidence interval [CI], 1.12 to 1.14) and female sex (mHR, 1.62; 95% CI, 1.49 to 1.75) were associated with increased lung cancer risk. Current smoking was also associated with elevated risk (<10 pack-years: mHR, 1.12; 95% CI, 1.01 to 1.24; ≥10 pack-years: mHR, 1.30; 95% CI, 1.18 to 1.45), but past smoking was not. Although mild alcohol consumption (<10 g/day) was associated with lower lung cancer risk (mHR, 0.92; 95% CI, 0.86 to 0.99), heavier alcohol consumption (≥10 g/day) was not. Higher income (highest vs. lowest quartile: mHR, 0.86; 95% CI, 0.78 to 0.94), physical activity for at least 1,500 metabolic equivalent of task-min/wk (vs. non-exercisers: mHR, 0.83; 95% CI, 0.69 to 0.99) and obesity (vs. normal weight: mHR, 0.89; 95% CI, 0.83 to 0.96) were associated with lower lung cancer risk, whereas metabolic syndrome was associated with increased risk (mHR, 1.13; 95% CI, 1.03 to 1.24). CONCLUSIONS In young adults, age, female sex, smoking, and metabolic syndrome were risk factors for early-onset lung cancer, while high income, physical activity, and obesity displayed protective effects.