Objectives: Osteoporosis is a silent disease with low screening rates in many developing countries. This study aimed to evaluate the feasibility of using an artificial intelligence (AI)-based system to screen osteoporosis from pelvic and hip radiographs in Vietnam. Methods: We conducted a cross-sectional study at a tertiary medical center in Central Vietnam in 2023. A total of 2000 consecutive pelvic and hip radiographs from patients aged ≥ 40 years were collected. After excluding poorquality images, 1987 radiographs were analyzed using an AI-based software designed to estimate bone mineral density (BMD) from plain radiographs and derive T-scores. Osteoporosis was defined as a T-score ≤ − 2.5. Patient characteristics, radiographic findings, and risk factors for osteoporosis were analyzed. Results: Among 1987 patients (mean age 66.4 ± 15.1 years; 41.3% men), osteoporosis was identified in 872 patients (43.9%). The prevalence increased with age and was higher in women than in men (58.7% vs 22.8%, P < 0.001). Osteoporosis was associated with femoral neck (OR = 3.8, 95% CI: 2.7–5.2) and intertrochanteric fractures (OR = 7.0, 95% CI: 4.5–11.0). Patients with lower T-scores had a higher risk of hip fractures, especially those with T-scores ≤ − 3.0 (OR = 11.5, 95% CI: 5.5–24.5). Conclusions AI-based analysis of pelvic and hip radiographs is a feasible and effective tool for osteoporosis screening in Vietnam. The prevalence of osteoporosis in this hospital-based setting was high, particularly among elderly women.AI-assisted screening may offer an accessible strategy for early detection of osteoporosis in resource-limited settings.

This study investigated the associations of psychological insulin resistance (PIR), diabetes- related stress, and intention to use complementary and alternative diets (CAD) with self-management in older adults with type 2 diabetes. Methods: A cross-sectional study was conducted with 180 adults aged ≥65 with type 2 diabetes at a primary clinic in Korea. Data were collected using structured questionnaires between March and June, 2024. SPSS was used for descriptive statistics, independent t-tests, one-way ANOVA, Pearson’s correlation, and multiple regression analysis. Results: The average age of participants was 73.79±5.59 years. PIR (mean, 57.54±8.81), diabetes-related stress (mean, 41.62±7.65), intention to use CAD (mean, 3.56±1.32), and self-management (mean, 38.11±5.98) were measured. The PIR was positively correlated with self-management (r=.31, p<.001), whereas diabetes-related stress was negatively correlated with self-management (r=-.24, p<.001). PIR (β=.47, p<.001) and diabetes-related stress (β=-.41, p<.001) were significant predictors of self-management (R2=24.6%). Conclusion: PIR positively correlated with self-management and was the most influential factor, suggesting that resistance to insulin treatment may paradoxically motivate individuals to engage in better self-management behaviors. Intention to use CAD was weakly positively correlated with PIR, indicating that individuals with higher insulin resistance may explore alternative dietary options. Diabetes-related stress negatively affects self-management, highlighting the importance of stress management for improving diabetes self-management. These findings highlight the significance of psychological factors in the development of tailored self-management education programs for older adults with type 2 diabetes.

Purpose: This study analyzed the career paths of medical school graduates in the Daejeon, Sejong, and Chungcheongnam-do (DSC) region of South Korea, focusing on career choice factors at each career path. The ultimate goal was to derive practical insights to improve career guidance in the medical field and enhance professionalism. Methods: Data were collected through in-depth interviews with 10 medical school graduates working in the DSC region. A semi-structured questionnaire was used to explore their career paths, and factors influencing their career decisions. The collected qualitative data were analyzed using the constant comparative method to identify themes and categories. Results: The study results categorized career stages into three phases: “entering medical school,” “choosing a specialty after graduation,” and “choosing a workplace after training.” Career choice factors were classified into “personal factors,” “social factors,” and “job and work environment factors.” The factors influencing career choices differed across each career path. Conclusion This study holds significance in its in-depth analysis of career choice factors across different career paths from a long-term perspective. The findings suggest that effective support for career decision-making in the medical field requires a tailored approach that considers the distinct needs and influencing factors at each career path.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Purpose: This qualitative study explored nurses' experiences in selecting hospitals within a dual labor market framework. Methods: Focus group interviews were conducted with 18 general nurses, divided into three groups of six, each representing both large and medium-sized hospitals. Results: The analysis revealed two themes, four categories, and nine subcategories, highlighting differences between large and medium-sized hospitals. Nurses who choose large hospitals prioritized "professional development" but faced "struggles to maintain professional identity" while those selecting medium-sized hospitals sought "stability and accessibility" but experienced "crisis of professional identity." Conclusion This study highlights significant differences in the factors influencing nurses' hospital choices based on hospital size. These findings provide foundational data for establishing the Enforcement Decree and Rules of the Nursing Act, emphasizing the importance of developing legal measures to strengthen nurses' professional identity and promote a balanced and sustainable nursing labor market.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Purpose: This qualitative study explored nurses' experiences in selecting hospitals within a dual labor market framework. Methods: Focus group interviews were conducted with 18 general nurses, divided into three groups of six, each representing both large and medium-sized hospitals. Results: The analysis revealed two themes, four categories, and nine subcategories, highlighting differences between large and medium-sized hospitals. Nurses who choose large hospitals prioritized "professional development" but faced "struggles to maintain professional identity" while those selecting medium-sized hospitals sought "stability and accessibility" but experienced "crisis of professional identity." Conclusion This study highlights significant differences in the factors influencing nurses' hospital choices based on hospital size. These findings provide foundational data for establishing the Enforcement Decree and Rules of the Nursing Act, emphasizing the importance of developing legal measures to strengthen nurses' professional identity and promote a balanced and sustainable nursing labor market.

Purpose: This study analyzed the career paths of medical school graduates in the Daejeon, Sejong, and Chungcheongnam-do (DSC) region of South Korea, focusing on career choice factors at each career path. The ultimate goal was to derive practical insights to improve career guidance in the medical field and enhance professionalism. Methods: Data were collected through in-depth interviews with 10 medical school graduates working in the DSC region. A semi-structured questionnaire was used to explore their career paths, and factors influencing their career decisions. The collected qualitative data were analyzed using the constant comparative method to identify themes and categories. Results: The study results categorized career stages into three phases: “entering medical school,” “choosing a specialty after graduation,” and “choosing a workplace after training.” Career choice factors were classified into “personal factors,” “social factors,” and “job and work environment factors.” The factors influencing career choices differed across each career path. Conclusion This study holds significance in its in-depth analysis of career choice factors across different career paths from a long-term perspective. The findings suggest that effective support for career decision-making in the medical field requires a tailored approach that considers the distinct needs and influencing factors at each career path.

Purpose: This study analyzed the career paths of medical school graduates in the Daejeon, Sejong, and Chungcheongnam-do (DSC) region of South Korea, focusing on career choice factors at each career path. The ultimate goal was to derive practical insights to improve career guidance in the medical field and enhance professionalism. Methods: Data were collected through in-depth interviews with 10 medical school graduates working in the DSC region. A semi-structured questionnaire was used to explore their career paths, and factors influencing their career decisions. The collected qualitative data were analyzed using the constant comparative method to identify themes and categories. Results: The study results categorized career stages into three phases: “entering medical school,” “choosing a specialty after graduation,” and “choosing a workplace after training.” Career choice factors were classified into “personal factors,” “social factors,” and “job and work environment factors.” The factors influencing career choices differed across each career path. Conclusion This study holds significance in its in-depth analysis of career choice factors across different career paths from a long-term perspective. The findings suggest that effective support for career decision-making in the medical field requires a tailored approach that considers the distinct needs and influencing factors at each career path.

Purpose: This qualitative study explored nurses' experiences in selecting hospitals within a dual labor market framework. Methods: Focus group interviews were conducted with 18 general nurses, divided into three groups of six, each representing both large and medium-sized hospitals. Results: The analysis revealed two themes, four categories, and nine subcategories, highlighting differences between large and medium-sized hospitals. Nurses who choose large hospitals prioritized "professional development" but faced "struggles to maintain professional identity" while those selecting medium-sized hospitals sought "stability and accessibility" but experienced "crisis of professional identity." Conclusion This study highlights significant differences in the factors influencing nurses' hospital choices based on hospital size. These findings provide foundational data for establishing the Enforcement Decree and Rules of the Nursing Act, emphasizing the importance of developing legal measures to strengthen nurses' professional identity and promote a balanced and sustainable nursing labor market.