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Objective This study evaluated the quality of sleep and smartphone addiction in Korean adolescents during the coronavirus disease 19 pandemic and analyzed their effects on perceived quality of life.Methods An online survey system provided by the Gwangmyeong City Health Center located in Gyeonggi-do, Korea, was completed by 1,678 local middle school students from April 1 to June 30, 2021. We measured quality of life using the KIDSCREEN-27 health-related quality of life questionnaire, quality of sleep using the Korean version of the Pittsburgh Sleep Quality Index, and smartphone addiction using the Smartphone Addiction Self-Diagnosis Scale. Bed times, wake times, and total sleep hours were also recorded.Results Sleep quality and quantity were directly associated with smartphone addiction. The results indicated that lower quality of life was associated with lower sleep quality, delayed onset of sleep, shorter total sleep time, and higher smartphone addiction. Female students reported lower quality of life, lower sleep quality, delayed sleep phases, shorter total sleep hours, and higher smartphone addiction scores than did male students.Conclusion Our results suggest that adolescents’ quality of life is threatened by poor sleep, which in turn could be due to unhealthy smartphone usage. Girls were more heavily affected by this trend than were boys. Preparations to intervene for further mental health issues that might follow are necessary.

Background This study aimed to evaluate traumatic stress and mental health problems associated with the prolonged coronavirus disease pandemic and to determine the differences across different age groups. Methods A total of 1,151 individuals who visited Gwangmyeong City Mental Health Welfare Center, South Korea, or accessed the website from September 1 to December 31, 2020, were included in the study. Mental health problems such as traumatic stress (Primary Care Posttraumatic Stress Disorder Screen for the Diagnostic and Statistical Manual of Mental Disorder-5); depression (Patient Health Questionnaire-9 and Children's Depression Inventory); anxiety (Generalized Anxiety Disorder-7 and Penn State Worry Questionnaire for Children); suicide risk (P4 Screener); and demographic information were evaluated. The participants were divided into three groups based on age group: children and adolescents, adults, and the elderly. Results The results showed that 24.7%, 20.9%, 16.8%, and 20.5% of the participants were at high-risk for traumatic stress, depression, anxiety, and suicide, respectively. The difference in the proportion of high-risk groups by age of all participants was significant for traumatic stress, depression, anxiety, and suicide risk. In particular, the percentage of high-risk groups in all areas was the highest in the adult group. Also, in most areas, the ratio of the high-risk groups for children and adolescent group was the lowest, but the suicide risk-related ratio was not (adolescent group: 20.9%, adult group: 25%, elderly group 9.3%). Conclusion These results suggest that there is a need for continued interest in the mental health of the general population even after the initial period of coronavirus disease. Additionally, this study may be helpful when considering the resilience or risk factors of mental health in a prolonged disaster situation.

Objective: Cyber addiction, which is more vulnerable in adolescents, is defined as the excessive use of computers and the Internet that causes serious psychological, social, and physical problems. In this study, we investigated the resting-state functional connectivity (rsFC) in adolescents with cyber addiction. Methods: We collected and analyzed resting-state functional neuroimaging data of 20 patients with cyber addiction, aged 13−18 years, and 27 healthy controls. Based on previous studies, the seed regions included the dorsolateral prefrontal cortex, medial orbitofrontal cortex, lateral orbitofrontal cortex, dorsal anterior cingulate cortex, insula, hippocampus, amygdala, nucleus accumbens, and the ventral tegmental area. Seed-to-voxel analyses were performed to investigate the differences between patients and healthy controls. A correlation analysis between rsFC and cyber addiction severity was also performed. Results: Patients with cyber addiction showed the following characteristics: increased positive rsFC between the left insular−right middle temporal gyrus; increased positive rsFC between the right hippocampus−right precentral gyrus; increased positive rsFC between the right amygdala−right precentral gyrus and right parietal operculum cortex; increased negative rsFC between the left nucleus accumbens−right cerebellum crus II and right cerebellum VI. Conclusion: Adolescents with cyber addiction show altered functional connectivity during the resting state. The findings of this study may help us better understand the neuropathology of cyber addiction in adolescents.

Conclusion : Our results show that attitude toward drugs and symptom severity affect a patient's personal and social performance most prominently. We advise to focus on patient education to reinforce attitude toward drugs, and to concentrate on reducing symptom severity to enhance personal and social performance in schizophrenia patients. (Korean J Schizophr Res 2016;19:47-59)