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.

Objectives: Vertebral fractures are associated with disability and mortality, but most vertebral fractures are asymptomatic. The present study aimed to determine the incidence of and develop a predictive nomogram for asymptomatic vertebral fractures in Vietnamese adults. Methods: This cohort study as a part of the Vietnam Osteoporosis Study involved 168 men and 287 women aged 50 years and older without a clinically diagnosed vertebral fracture. Their spine x-rays were taken at the recruitment and subsequent 2-year visit. Vertebral fractures were ascertained using the Genant’s semiquantitative method. We employed the Bayesian Model Averaging method to search for the optimal model for predicting asymptomatic vertebral fractures. A predictive nomogram was also developed to facilitate risk prediction. Results: During a median of 2.38 years of follow-up, 13 men and 16 women developed an asymptomatic vertebral fracture, yielding the overall incidence rate of 28 fractures per 1000 person-years, or 33 fractures/1000 personyears in men and 24 fractures/1000 person-years in women, respectively. Most asymptomatic vertebral fractures were moderate, almost 1.5 times more common than mild fractures. The optimal model for predicting incident asymptomatic vertebral fractures included age, male sex and lower femoral neck T-score. The area under the receiver’s operating characteristic curve was 0.91, with 95% CI ranging from 0.86 to 0.96. Conclusions Asymptomatic vertebral fractures were relatively common among adults in Vietnam. A simple model with sex, age and femoral neck T-score is helpful for selective screening of asymptomatic vertebral fractures in Vietnamese individuals.

Objectives: Vertebral fractures are associated with disability and mortality, but most vertebral fractures are asymptomatic. The present study aimed to determine the incidence of and develop a predictive nomogram for asymptomatic vertebral fractures in Vietnamese adults. Methods: This cohort study as a part of the Vietnam Osteoporosis Study involved 168 men and 287 women aged 50 years and older without a clinically diagnosed vertebral fracture. Their spine x-rays were taken at the recruitment and subsequent 2-year visit. Vertebral fractures were ascertained using the Genant’s semiquantitative method. We employed the Bayesian Model Averaging method to search for the optimal model for predicting asymptomatic vertebral fractures. A predictive nomogram was also developed to facilitate risk prediction. Results: During a median of 2.38 years of follow-up, 13 men and 16 women developed an asymptomatic vertebral fracture, yielding the overall incidence rate of 28 fractures per 1000 person-years, or 33 fractures/1000 personyears in men and 24 fractures/1000 person-years in women, respectively. Most asymptomatic vertebral fractures were moderate, almost 1.5 times more common than mild fractures. The optimal model for predicting incident asymptomatic vertebral fractures included age, male sex and lower femoral neck T-score. The area under the receiver’s operating characteristic curve was 0.91, with 95% CI ranging from 0.86 to 0.96. Conclusions Asymptomatic vertebral fractures were relatively common among adults in Vietnam. A simple model with sex, age and femoral neck T-score is helpful for selective screening of asymptomatic vertebral fractures in Vietnamese individuals.

A 47-year-old female was admitted with progressive exertional dyspnea and diagnosed with anomalous drainage of the left pulmonary veins into the coronary sinus (CS), combined with an intact interatrial septum and a small patent ductus arteriosus (PDA). Multimodal imaging, including echocardiography, computed tomography, and cardiac catheterization, helps diagnosis, optimal management and monitoring. The patient successfully underwent surgical repair, which involved rerouting the left anomalous pulmonary veins into the left atrium through a surgically created atrial septal defect, while the CS continued to drain into the right atrium and the PDA was closed directly via a transpulmonary approach. The postoperative course was uneventful.

Objectives: Vertebral fractures are associated with disability and mortality, but most vertebral fractures are asymptomatic. The present study aimed to determine the incidence of and develop a predictive nomogram for asymptomatic vertebral fractures in Vietnamese adults. Methods: This cohort study as a part of the Vietnam Osteoporosis Study involved 168 men and 287 women aged 50 years and older without a clinically diagnosed vertebral fracture. Their spine x-rays were taken at the recruitment and subsequent 2-year visit. Vertebral fractures were ascertained using the Genant’s semiquantitative method. We employed the Bayesian Model Averaging method to search for the optimal model for predicting asymptomatic vertebral fractures. A predictive nomogram was also developed to facilitate risk prediction. Results: During a median of 2.38 years of follow-up, 13 men and 16 women developed an asymptomatic vertebral fracture, yielding the overall incidence rate of 28 fractures per 1000 person-years, or 33 fractures/1000 personyears in men and 24 fractures/1000 person-years in women, respectively. Most asymptomatic vertebral fractures were moderate, almost 1.5 times more common than mild fractures. The optimal model for predicting incident asymptomatic vertebral fractures included age, male sex and lower femoral neck T-score. The area under the receiver’s operating characteristic curve was 0.91, with 95% CI ranging from 0.86 to 0.96. Conclusions Asymptomatic vertebral fractures were relatively common among adults in Vietnam. A simple model with sex, age and femoral neck T-score is helpful for selective screening of asymptomatic vertebral fractures in Vietnamese individuals.

Objectives: Vertebral fractures are associated with disability and mortality, but most vertebral fractures are asymptomatic. The present study aimed to determine the incidence of and develop a predictive nomogram for asymptomatic vertebral fractures in Vietnamese adults. Methods: This cohort study as a part of the Vietnam Osteoporosis Study involved 168 men and 287 women aged 50 years and older without a clinically diagnosed vertebral fracture. Their spine x-rays were taken at the recruitment and subsequent 2-year visit. Vertebral fractures were ascertained using the Genant’s semiquantitative method. We employed the Bayesian Model Averaging method to search for the optimal model for predicting asymptomatic vertebral fractures. A predictive nomogram was also developed to facilitate risk prediction. Results: During a median of 2.38 years of follow-up, 13 men and 16 women developed an asymptomatic vertebral fracture, yielding the overall incidence rate of 28 fractures per 1000 person-years, or 33 fractures/1000 personyears in men and 24 fractures/1000 person-years in women, respectively. Most asymptomatic vertebral fractures were moderate, almost 1.5 times more common than mild fractures. The optimal model for predicting incident asymptomatic vertebral fractures included age, male sex and lower femoral neck T-score. The area under the receiver’s operating characteristic curve was 0.91, with 95% CI ranging from 0.86 to 0.96. Conclusions Asymptomatic vertebral fractures were relatively common among adults in Vietnam. A simple model with sex, age and femoral neck T-score is helpful for selective screening of asymptomatic vertebral fractures in Vietnamese individuals.

Objectives: Vertebral fractures are associated with disability and mortality, but most vertebral fractures are asymptomatic. The present study aimed to determine the incidence of and develop a predictive nomogram for asymptomatic vertebral fractures in Vietnamese adults. Methods: This cohort study as a part of the Vietnam Osteoporosis Study involved 168 men and 287 women aged 50 years and older without a clinically diagnosed vertebral fracture. Their spine x-rays were taken at the recruitment and subsequent 2-year visit. Vertebral fractures were ascertained using the Genant’s semiquantitative method. We employed the Bayesian Model Averaging method to search for the optimal model for predicting asymptomatic vertebral fractures. A predictive nomogram was also developed to facilitate risk prediction. Results: During a median of 2.38 years of follow-up, 13 men and 16 women developed an asymptomatic vertebral fracture, yielding the overall incidence rate of 28 fractures per 1000 person-years, or 33 fractures/1000 personyears in men and 24 fractures/1000 person-years in women, respectively. Most asymptomatic vertebral fractures were moderate, almost 1.5 times more common than mild fractures. The optimal model for predicting incident asymptomatic vertebral fractures included age, male sex and lower femoral neck T-score. The area under the receiver’s operating characteristic curve was 0.91, with 95% CI ranging from 0.86 to 0.96. Conclusions Asymptomatic vertebral fractures were relatively common among adults in Vietnam. A simple model with sex, age and femoral neck T-score is helpful for selective screening of asymptomatic vertebral fractures in Vietnamese individuals.

STRESS IN RELATIONSHIP WITH BURNOUT DUE TO COVID-19: THE MODERATING ROLE OF COPING STRATEGIES This study investigates the relationship between stress and burnout related to the COVID-19 pandemic, focusing on the moderating influence of positive and negative coping strategies. In a cross-sectional survey involving 3,664 Vietnamese citizens aged 18 and above, the research explores the dynamics of stress and burnout symptoms associated with the ongoing pandemic. The results reveal a negative impact of stress symptoms on COVID-19-related burnout among the population. Notably, both positive and negative coping strategies are identified as significant moderators in the interplay between stress and burnout. This suggests that individuals’ coping mechanisms influence the severity of stress and burnout experienced in dealing with COVID-19 challenges. These findings contribute to the foundational understanding of the stress-burnout relationship during the pandemic and provide essential insights for interventions. By recognizing the moderating role of coping strategies, this study lays the groundwork for strategies aimed at enhancing individuals’ coping abilities, ultimately reducing stress and burnout levels. These insights hold the potential to assist individuals in adapting more effectively to the challenges posed by the COVID-19 pandemic, fostering improved mental well-being in the face of ongoing uncertainties. ASEAN Journal of Psychiatry, Vol. 25 (3) March, 2024; 1-10.

South Korea currently has the lowest fertility rate among Organization for Economic Co-operation and Development countries, with a total fertility rate of less than one child per woman. This study explored the factors influencing future fertility intentions (FFI) among Korean women of childbearing age. Methods: Using a cross-sectional design, we analyzed data from the 2022 Survey on Low Birth Policy Demand in Seoul, conducted by the Seoul Women and Family Foundation. This study focused on women of childbearing age. Bivariate analyses and a multivariate logistic regression model were employed to investigate the FFI rate and its associated factors. Results: The observed overall FFI rate among Korean women of childbearing age was 25.6%, with rates of 27.9% among unmarried women, and 22.0% among married women. Factors associated with FFI included education level, employment status, weekly working hours, number of children, age at first sexual education, monthly income, and perspectives on marriage, childbearing, and gender inequality. High FFI rates were noted among self-employed individuals (33.3%); those who received sexual education in adulthood (48.6%), those who believed in having children after marriage (44.0%), those who thought children strengthen relationships (32.5%), and those who perceived gender equality in family or workplace culture (31.7%). Conclusion: This study assessed the FFI rate among Korean women of childbearing age, identifying the sociodemographic characteristics and perspectives on marriage, childbearing, and gender inequality that influence it. The findings provide valuable insights for policymakers and nurses to engage with women and increase birth rates in Seoul and throughout South Korea.

South Korea currently has the lowest fertility rate among Organization for Economic Co-operation and Development countries, with a total fertility rate of less than one child per woman. This study explored the factors influencing future fertility intentions (FFI) among Korean women of childbearing age. Methods: Using a cross-sectional design, we analyzed data from the 2022 Survey on Low Birth Policy Demand in Seoul, conducted by the Seoul Women and Family Foundation. This study focused on women of childbearing age. Bivariate analyses and a multivariate logistic regression model were employed to investigate the FFI rate and its associated factors. Results: The observed overall FFI rate among Korean women of childbearing age was 25.6%, with rates of 27.9% among unmarried women, and 22.0% among married women. Factors associated with FFI included education level, employment status, weekly working hours, number of children, age at first sexual education, monthly income, and perspectives on marriage, childbearing, and gender inequality. High FFI rates were noted among self-employed individuals (33.3%); those who received sexual education in adulthood (48.6%), those who believed in having children after marriage (44.0%), those who thought children strengthen relationships (32.5%), and those who perceived gender equality in family or workplace culture (31.7%). Conclusion: This study assessed the FFI rate among Korean women of childbearing age, identifying the sociodemographic characteristics and perspectives on marriage, childbearing, and gender inequality that influence it. The findings provide valuable insights for policymakers and nurses to engage with women and increase birth rates in Seoul and throughout South Korea.