Purpose: The study aimed to examine doctoral students’ degree acquisition paths and postgraduate research achievements and explore whether there are differences in the research achievements of doctoral degree holders in relation to the dissertation format. Methods: This study is a retrospective cohort study of nursing doctoral graduates whose degree conferral dates were between August 2013 and August 2023 that compared two dissertation tracks: traditional and publication. We evaluated the proportion of graduates in each track, publication of their dissertations, time to graduation, and the number of peer-reviewed journal publications after graduation. Results: Of the sample, 160 (87.4%) graduated in the traditional track, with only 56 (35.0%) of them publishing their dissertations after graduation. Excluding dissertations, 114 of the graduates (71.3%) published first-authored articles in the traditional track, while 12 (52.2%) did so in the publication track. The time to graduation was significantly shorter in the traditional track, with an average of 5.47±2.45 years, compared to 6.61±2.57 years in the publication track (z=2.26, p=.023). In the traditional track, 64 of graduates (40.0%) majored in adult health nursing, whereas in the publication track, 8 (34.8%) studied community health nursing. Conclusion This study emphasizes the significance of the publication track for nursing doctoral dissertations in terms of research dissemination. Despite its numerous advantages, it is not yet the preferred choice for both students and faculty. Maintaining the publication track as an additional graduation option is worthwhile, as it allows students to gain research publishing experience before graduation and to effectively disseminate scientific findings in nursing.

Objective: We aimed to identify subgroups of suicide risk and their characteristics among Korean adults. Methods: We used data from the National Mental Health Survey of Korea 2021. Participants were 5,511 adults aged 18–79 years. Latent class analysis was conducted to identify patterns of suicide risk using suicidal thoughts, plans, attempts, and self-harm. Sociodemographic and health-related characteristics according to the subtype of suicide risk were compared. Results: Suicide risk was classified into three latent classes: low suicide risk (89.5%, Class 3 [C3]), high suicidal ideation and low suicidal behavior (8.7%, Class 2 [C2]), and high suicidal thoughts and behavior (1.8%, Class 1 [C1]). Risk factors associated with C1 and C2 were the absence of a spouse, low educational and economic status, and unstable occupational status. C1 and C2 had more physical and psychological problems than did C3. Prevalence of mental disorders and mental health service use were higher in C1 than in C2. Conclusion Suicide risk types have different demographic, physical health-related, and mental health-related characteristics. Therefore, a focused and individualized suicide preventive strategy should be implemented.

Objective: We aimed to identify subgroups of suicide risk and their characteristics among Korean adults. Methods: We used data from the National Mental Health Survey of Korea 2021. Participants were 5,511 adults aged 18–79 years. Latent class analysis was conducted to identify patterns of suicide risk using suicidal thoughts, plans, attempts, and self-harm. Sociodemographic and health-related characteristics according to the subtype of suicide risk were compared. Results: Suicide risk was classified into three latent classes: low suicide risk (89.5%, Class 3 [C3]), high suicidal ideation and low suicidal behavior (8.7%, Class 2 [C2]), and high suicidal thoughts and behavior (1.8%, Class 1 [C1]). Risk factors associated with C1 and C2 were the absence of a spouse, low educational and economic status, and unstable occupational status. C1 and C2 had more physical and psychological problems than did C3. Prevalence of mental disorders and mental health service use were higher in C1 than in C2. Conclusion Suicide risk types have different demographic, physical health-related, and mental health-related characteristics. Therefore, a focused and individualized suicide preventive strategy should be implemented.

The elucidation of the pathophysiology underlying various diseases necessitates the development of research platforms that faithfully mimic in vivo conditions. Traditional model systems such as two-dimensional cell cultures and animal models have proven inadequate in capturing the complexities of human disease modeling. However, recent strides in organoid culture systems have opened up new avenues for comprehending gastric stem cell homeostasis and associated diseases, notably gastric cancer. Given the significance of gastric cancer, a thorough understanding of its pathophysiology and molecular underpinnings is imperative. To this end, the utilization of patient-derived organoid libraries emerges as a remarkable platform, as it faithfully mirrors patient-specific characteristics, including mutation profiles and drug sensitivities. Furthermore, genetic manipulation of gastric organoids facilitates the exploration of molecular mechanisms underlying gastric cancer development. This review provides a comprehensive overview of recent advancements in various adult stem cell-derived gastric organoid models and their diverse applications.

Objective: We aimed to identify subgroups of suicide risk and their characteristics among Korean adults. Methods: We used data from the National Mental Health Survey of Korea 2021. Participants were 5,511 adults aged 18–79 years. Latent class analysis was conducted to identify patterns of suicide risk using suicidal thoughts, plans, attempts, and self-harm. Sociodemographic and health-related characteristics according to the subtype of suicide risk were compared. Results: Suicide risk was classified into three latent classes: low suicide risk (89.5%, Class 3 [C3]), high suicidal ideation and low suicidal behavior (8.7%, Class 2 [C2]), and high suicidal thoughts and behavior (1.8%, Class 1 [C1]). Risk factors associated with C1 and C2 were the absence of a spouse, low educational and economic status, and unstable occupational status. C1 and C2 had more physical and psychological problems than did C3. Prevalence of mental disorders and mental health service use were higher in C1 than in C2. Conclusion Suicide risk types have different demographic, physical health-related, and mental health-related characteristics. Therefore, a focused and individualized suicide preventive strategy should be implemented.

Objective: We aimed to identify subgroups of suicide risk and their characteristics among Korean adults. Methods: We used data from the National Mental Health Survey of Korea 2021. Participants were 5,511 adults aged 18–79 years. Latent class analysis was conducted to identify patterns of suicide risk using suicidal thoughts, plans, attempts, and self-harm. Sociodemographic and health-related characteristics according to the subtype of suicide risk were compared. Results: Suicide risk was classified into three latent classes: low suicide risk (89.5%, Class 3 [C3]), high suicidal ideation and low suicidal behavior (8.7%, Class 2 [C2]), and high suicidal thoughts and behavior (1.8%, Class 1 [C1]). Risk factors associated with C1 and C2 were the absence of a spouse, low educational and economic status, and unstable occupational status. C1 and C2 had more physical and psychological problems than did C3. Prevalence of mental disorders and mental health service use were higher in C1 than in C2. Conclusion Suicide risk types have different demographic, physical health-related, and mental health-related characteristics. Therefore, a focused and individualized suicide preventive strategy should be implemented.

The elucidation of the pathophysiology underlying various diseases necessitates the development of research platforms that faithfully mimic in vivo conditions. Traditional model systems such as two-dimensional cell cultures and animal models have proven inadequate in capturing the complexities of human disease modeling. However, recent strides in organoid culture systems have opened up new avenues for comprehending gastric stem cell homeostasis and associated diseases, notably gastric cancer. Given the significance of gastric cancer, a thorough understanding of its pathophysiology and molecular underpinnings is imperative. To this end, the utilization of patient-derived organoid libraries emerges as a remarkable platform, as it faithfully mirrors patient-specific characteristics, including mutation profiles and drug sensitivities. Furthermore, genetic manipulation of gastric organoids facilitates the exploration of molecular mechanisms underlying gastric cancer development. This review provides a comprehensive overview of recent advancements in various adult stem cell-derived gastric organoid models and their diverse applications.

The elucidation of the pathophysiology underlying various diseases necessitates the development of research platforms that faithfully mimic in vivo conditions. Traditional model systems such as two-dimensional cell cultures and animal models have proven inadequate in capturing the complexities of human disease modeling. However, recent strides in organoid culture systems have opened up new avenues for comprehending gastric stem cell homeostasis and associated diseases, notably gastric cancer. Given the significance of gastric cancer, a thorough understanding of its pathophysiology and molecular underpinnings is imperative. To this end, the utilization of patient-derived organoid libraries emerges as a remarkable platform, as it faithfully mirrors patient-specific characteristics, including mutation profiles and drug sensitivities. Furthermore, genetic manipulation of gastric organoids facilitates the exploration of molecular mechanisms underlying gastric cancer development. This review provides a comprehensive overview of recent advancements in various adult stem cell-derived gastric organoid models and their diverse applications.

Objective: We aimed to identify subgroups of suicide risk and their characteristics among Korean adults. Methods: We used data from the National Mental Health Survey of Korea 2021. Participants were 5,511 adults aged 18–79 years. Latent class analysis was conducted to identify patterns of suicide risk using suicidal thoughts, plans, attempts, and self-harm. Sociodemographic and health-related characteristics according to the subtype of suicide risk were compared. Results: Suicide risk was classified into three latent classes: low suicide risk (89.5%, Class 3 [C3]), high suicidal ideation and low suicidal behavior (8.7%, Class 2 [C2]), and high suicidal thoughts and behavior (1.8%, Class 1 [C1]). Risk factors associated with C1 and C2 were the absence of a spouse, low educational and economic status, and unstable occupational status. C1 and C2 had more physical and psychological problems than did C3. Prevalence of mental disorders and mental health service use were higher in C1 than in C2. Conclusion Suicide risk types have different demographic, physical health-related, and mental health-related characteristics. Therefore, a focused and individualized suicide preventive strategy should be implemented.