This retrospective study aims to analyze the incidence and characteristics of sportsrelated dental injuries in pediatric patients, providing foundational data for the prevention and management of such injuries. Medical records of 2,382 patients aged 3 – 18 who visited Chosun University Dental Hospital between January 2018 and January 2024 were reviewed. Of these, 308 patients who experienced sportsrelated dental trauma were analyzed. Data collected included patient demographics, type of sport, cause of injury, time and location of the trauma, and type of injury. Sports-related dental injuries accounted for 12.9% of all trauma cases in the study population. Males (74.4%) were more commonly affected than females. The most common cause of injury was cycling (21.0%), followed by contact group sports (16.2%) and kickboard (15.5%). Tooth injuries, particularly affecting the maxillary anterior teeth, were the most prevalent type of trauma (63.6%). The presence of a supervisor significantly reduced the time to initial management, indicating the importance of prompt response to dental injuries. Sports-related dental trauma represents a significant public health concern among pediatric and adolescent populations. Increased supervision during sports activities and preventive measures, including the use of protective gear like mouthguards, are essential to reducing the incidence and severity of injuries.

This retrospective study aims to analyze the incidence and characteristics of sportsrelated dental injuries in pediatric patients, providing foundational data for the prevention and management of such injuries. Medical records of 2,382 patients aged 3 – 18 who visited Chosun University Dental Hospital between January 2018 and January 2024 were reviewed. Of these, 308 patients who experienced sportsrelated dental trauma were analyzed. Data collected included patient demographics, type of sport, cause of injury, time and location of the trauma, and type of injury. Sports-related dental injuries accounted for 12.9% of all trauma cases in the study population. Males (74.4%) were more commonly affected than females. The most common cause of injury was cycling (21.0%), followed by contact group sports (16.2%) and kickboard (15.5%). Tooth injuries, particularly affecting the maxillary anterior teeth, were the most prevalent type of trauma (63.6%). The presence of a supervisor significantly reduced the time to initial management, indicating the importance of prompt response to dental injuries. Sports-related dental trauma represents a significant public health concern among pediatric and adolescent populations. Increased supervision during sports activities and preventive measures, including the use of protective gear like mouthguards, are essential to reducing the incidence and severity of injuries.

This retrospective study aims to analyze the incidence and characteristics of sportsrelated dental injuries in pediatric patients, providing foundational data for the prevention and management of such injuries. Medical records of 2,382 patients aged 3 – 18 who visited Chosun University Dental Hospital between January 2018 and January 2024 were reviewed. Of these, 308 patients who experienced sportsrelated dental trauma were analyzed. Data collected included patient demographics, type of sport, cause of injury, time and location of the trauma, and type of injury. Sports-related dental injuries accounted for 12.9% of all trauma cases in the study population. Males (74.4%) were more commonly affected than females. The most common cause of injury was cycling (21.0%), followed by contact group sports (16.2%) and kickboard (15.5%). Tooth injuries, particularly affecting the maxillary anterior teeth, were the most prevalent type of trauma (63.6%). The presence of a supervisor significantly reduced the time to initial management, indicating the importance of prompt response to dental injuries. Sports-related dental trauma represents a significant public health concern among pediatric and adolescent populations. Increased supervision during sports activities and preventive measures, including the use of protective gear like mouthguards, are essential to reducing the incidence and severity of injuries.

Background: Stress management is an important component of management of mental health. Stress processing can be understood as the appraisal of and coping with stress. This study aimed to compare positive and negative perceptions of stress according to patterns of coping strategies. Methods: The study recruited 116 college students who completed the Perceived Stress Scale and Coping Inventory for Stressful Situations using a tablet PC or smartphone application. K-means cluster analysis was used to categorize the subjects into three clusters. Results: Positive perceptions were highest in Cluster 2 (i.e., task and avoidance dominant) at 3.18±0.66 followed by 2.30±0.65 in Cluster 1 (passive coping) and lowest in Cluster 3 (emotion dominant) at 1.75±0.63. Negative perceptions were highest in Cluster 3 at 2.45±0.66 followed by Cluster 1 at 1.66±0.65 and Cluster 2 at 1.07±0.68. Conclusion Differences in coping patterns can reduce the negative effects of stress. Thus, assessing the perception and management of stress can be useful and help people change their coping styles to more adaptive ones. Toward this end, a mobile application can be an appropriate tool.

Background: Stress management is an important component of management of mental health. Stress processing can be understood as the appraisal of and coping with stress. This study aimed to compare positive and negative perceptions of stress according to patterns of coping strategies. Methods: The study recruited 116 college students who completed the Perceived Stress Scale and Coping Inventory for Stressful Situations using a tablet PC or smartphone application. K-means cluster analysis was used to categorize the subjects into three clusters. Results: Positive perceptions were highest in Cluster 2 (i.e., task and avoidance dominant) at 3.18±0.66 followed by 2.30±0.65 in Cluster 1 (passive coping) and lowest in Cluster 3 (emotion dominant) at 1.75±0.63. Negative perceptions were highest in Cluster 3 at 2.45±0.66 followed by Cluster 1 at 1.66±0.65 and Cluster 2 at 1.07±0.68. Conclusion Differences in coping patterns can reduce the negative effects of stress. Thus, assessing the perception and management of stress can be useful and help people change their coping styles to more adaptive ones. Toward this end, a mobile application can be an appropriate tool.

Background: Stress management is an important component of management of mental health. Stress processing can be understood as the appraisal of and coping with stress. This study aimed to compare positive and negative perceptions of stress according to patterns of coping strategies. Methods: The study recruited 116 college students who completed the Perceived Stress Scale and Coping Inventory for Stressful Situations using a tablet PC or smartphone application. K-means cluster analysis was used to categorize the subjects into three clusters. Results: Positive perceptions were highest in Cluster 2 (i.e., task and avoidance dominant) at 3.18±0.66 followed by 2.30±0.65 in Cluster 1 (passive coping) and lowest in Cluster 3 (emotion dominant) at 1.75±0.63. Negative perceptions were highest in Cluster 3 at 2.45±0.66 followed by Cluster 1 at 1.66±0.65 and Cluster 2 at 1.07±0.68. Conclusion Differences in coping patterns can reduce the negative effects of stress. Thus, assessing the perception and management of stress can be useful and help people change their coping styles to more adaptive ones. Toward this end, a mobile application can be an appropriate tool.

Background: Stress management is an important component of management of mental health. Stress processing can be understood as the appraisal of and coping with stress. This study aimed to compare positive and negative perceptions of stress according to patterns of coping strategies. Methods: The study recruited 116 college students who completed the Perceived Stress Scale and Coping Inventory for Stressful Situations using a tablet PC or smartphone application. K-means cluster analysis was used to categorize the subjects into three clusters. Results: Positive perceptions were highest in Cluster 2 (i.e., task and avoidance dominant) at 3.18±0.66 followed by 2.30±0.65 in Cluster 1 (passive coping) and lowest in Cluster 3 (emotion dominant) at 1.75±0.63. Negative perceptions were highest in Cluster 3 at 2.45±0.66 followed by Cluster 1 at 1.66±0.65 and Cluster 2 at 1.07±0.68. Conclusion Differences in coping patterns can reduce the negative effects of stress. Thus, assessing the perception and management of stress can be useful and help people change their coping styles to more adaptive ones. Toward this end, a mobile application can be an appropriate tool.

Background: Stress management is an important component of management of mental health. Stress processing can be understood as the appraisal of and coping with stress. This study aimed to compare positive and negative perceptions of stress according to patterns of coping strategies. Methods: The study recruited 116 college students who completed the Perceived Stress Scale and Coping Inventory for Stressful Situations using a tablet PC or smartphone application. K-means cluster analysis was used to categorize the subjects into three clusters. Results: Positive perceptions were highest in Cluster 2 (i.e., task and avoidance dominant) at 3.18±0.66 followed by 2.30±0.65 in Cluster 1 (passive coping) and lowest in Cluster 3 (emotion dominant) at 1.75±0.63. Negative perceptions were highest in Cluster 3 at 2.45±0.66 followed by Cluster 1 at 1.66±0.65 and Cluster 2 at 1.07±0.68. Conclusion Differences in coping patterns can reduce the negative effects of stress. Thus, assessing the perception and management of stress can be useful and help people change their coping styles to more adaptive ones. Toward this end, a mobile application can be an appropriate tool.

Economic evaluations in the healthcare are used to assess economic efficiency of pharmaceuticals and medical interventions such as diagnoses and medical procedures. This study introduces the main concepts of economic evaluation across its key steps: planning, outcome and cost calculation, modeling, cost-effectiveness results, uncertainty analysis, and decision-making. When planning an economic evaluation, we determine the study population, intervention, comparators, perspectives, time horizon, discount rates, and type of economic evaluation. In healthcare economic evaluations, outcomes include changes in mortality, the survival rate, life years, and quality-adjusted life years, while costs include medical, non-medical, and productivity costs. Model-based economic evaluations, including decision tree and Markov models, are mainly used to calculate the total costs and total effects. In cost-effectiveness or costutility analyses, cost-effectiveness is evaluated using the incremental cost-effectiveness ratio, which is the additional cost per one additional unit of effectiveness gained by an intervention compared with a comparator. All outcomes have uncertainties owing to limited evidence, diverse methodologies, and unexplained variation. Thus, researchers should review these uncertainties and confirm their robustness. We hope to contribute to the establishment and dissemination of economic evaluation methodologies that reflect Korean clinical and research environment and ultimately improve the rationality of healthcare policies.

Background: Fat stranding is a non-specific finding of an increased fat attenuation on computed tomography (CT) images. Fat stranding is used for detecting the underlying lesion in humans. Objectives: To assess the clinical significance of fat stranding on CT images for identifying the underlying cause in dogs and cats. Methods: In this retrospective study, the incidence, location, extent, distribution, and pattern of fat stranding were assessed on CT studies obtained from 134 cases. Results: Fat stranding was found in 38% (51/134) of all cases and in 35% (37/107) of tumors, which was significantly higher in malignant tumors (44%) than benign tumors (12%).Moreover, fat stranding was found in more than two areas in malignant tumors (16/33) and in a single area in benign tumors (4/4). In inflammation, fat stranding was demonstrated in 54% (7/13) in a single area (7/7) as a focal distribution (6/7). In trauma, fat stranding was revealed in 50% (7/14) and most were in multiple areas (6/7). Regardless of the etiologies, fat stranding was always around the underlying lesion and a reticular pattern was the most common presentation. Logistic regression analysis revealed that multiple areas (p = 0.040) of fat stranding and a reticulonodular pattern (p = 0.022) are the significant predictors of malignant tumor. Conclusions These findings indicated that CT fat stranding can be used as a clue for identifying the underlying lesion and can be useful for narrowing the differential list based on the extent and pattern.