Objective: We aimed to classify subgroups of suicidality among adolescents and identify the influencing factors of the classification of these latent classes. Methods: Suicidal thought, plans, and attempts as well as the feelings of sadness/hopelessness and loneliness were utilized as indicators to derive the suicidality classes. Additionally, health behaviors, such as dietary habits, physical activity, experiences of violence victimization, sexual activity, and deviant behavior, along with demographic factors, such as sex, school year, grades, and household income, were considered as influencing factors. The analysis utilized data from the 18th Youth Health Behavior Survey (2022) conducted by the Korea Disease Control and Prevention Agency, involving 51,850 middle and high school students. Results: The findings revealed three latent classes of suicidality among adolescents: “active suicidality,” “passive suicidality,” and “non-suicidality.” The influencing factor analysis indicated that all factors, with the exception of high-intensity physical activities, significantly influenced the classification of latent classes of suicidality. Notably, walking exercise and the frequency of exercise during physical education class were found to be factors that differentiated between active and passive suicidality within the suicidality classes. Conclusion This study employed nationwide data to identify the exhibited suicidality classes among adolescents and tested the influencing factors necessary for predicting such classes. The study’s findings offer valuable insights for policy development in suicide prevention and suggest the need for developing customized interventions tailored to each identified class.

OBJECTIVES: The purpose of this study was to investigate the prevalence and clinical characteristics of Wernicke's encephalopathy (WE) patients in alcoholics and to evaluate the utility of Caine's criteria as a screening test. METHODS: We made an admission note including Caine's criteria and applied it to patients who were admitted to an alcohol treatment unit. Demographic, clinical, and laboratory data were collected on 204 alcoholics. Our alcoholics who met more than one of Caine's criteria were considered at risk for WE and were given high-dose thiamine IV therapy. RESULTS: We was diagnosed in 15.2% of the alcoholic patients. Age and head trauma history were risk factors of WE. The sensitivity of Caine's criteria was 97% and specificity was 54%. High-dose thiamine IV therapy appeared to be a safe and cost-effective method to prevent the serious complications of WE. CONCLUSION: Caine's criteria is useful as a screening test for WE among alcoholic patients. High-dose thiamine IV therapy is cost-effective for alcoholic patients who are considered to be at risk for WE.
Alcoholics ; Alcoholism ; Craniocerebral Trauma ; Humans ; Mass Screening ; Prevalence ; Risk Factors ; Sensitivity and Specificity ; Thiamine ; Thiamine Deficiency ; Wernicke Encephalopathy

OBJECTIVES: We investigated the effects of depression on emotional regulation in adolescents with internet gaming disorder. METHODS: A stroop Match-to-Sample task with emotional interference was applied to 36 male adolescents to investigate how emotional stimuli (angry faces) interfered with performance of the stroop task in male adolescents with internet gaming disorder. For evaluation of psychiatric symptoms and personal characteristics, participants were asked to complete self-reports, including Beck Depression Inventory (BDI), Beck Anxiety Inventory, Barratt Impulsiveness Scale, and the Aggression Questionnaire. RESULTS: In emotionally interfered conditions, there was no significant difference of reaction time between the internet gaming disorder group and the healthy control group. However, the internet gaming disorder group showed a tendency of longer reaction time and lower accuracy rate in emotionally interfered condition, which can account for emotion regulation difficulties in the internet gaming disorder group. According to analysis of covariance and stepwise multiple linear regression analysis, BDI score showed association with reaction time of results. CONCLUSION: These results indicate that adolescents with internet gaming disorder may experience more difficulties in emotion regulation during attention-required situations than those in the control group, and comorbid depression contributes to faulty emotional regulation in adolescents with internet gaming disorder.
Adolescent* ; Aggression ; Anxiety ; Depression* ; Humans ; Internet* ; Linear Models ; Reaction Time

OBJECTIVES: We investigated the effects of depression on emotional regulation in adolescents with internet gaming disorder. METHODS: A stroop Match-to-Sample task with emotional interference was applied to 36 male adolescents to investigate how emotional stimuli (angry faces) interfered with performance of the stroop task in male adolescents with internet gaming disorder. For evaluation of psychiatric symptoms and personal characteristics, participants were asked to complete self-reports, including Beck Depression Inventory (BDI), Beck Anxiety Inventory, Barratt Impulsiveness Scale, and the Aggression Questionnaire. RESULTS: In emotionally interfered conditions, there was no significant difference of reaction time between the internet gaming disorder group and the healthy control group. However, the internet gaming disorder group showed a tendency of longer reaction time and lower accuracy rate in emotionally interfered condition, which can account for emotion regulation difficulties in the internet gaming disorder group. According to analysis of covariance and stepwise multiple linear regression analysis, BDI score showed association with reaction time of results. CONCLUSION: These results indicate that adolescents with internet gaming disorder may experience more difficulties in emotion regulation during attention-required situations than those in the control group, and comorbid depression contributes to faulty emotional regulation in adolescents with internet gaming disorder.
Adolescent* ; Aggression ; Anxiety ; Depression* ; Humans ; Internet* ; Linear Models ; Reaction Time