Objectives: This study investigated whether the coronavirus disease 2019 (COVID-19) pandemic affected quality of life (QOL) and whether its impact differed between individuals with and without suicidal ideation. Methods: A secondary analysis was performed using community-based cross-sectional survey data collected in Daegu, Republic of Korea, in 2018 (pre-pandemic phase), 2020 (pandemic phase), and 2022 (post-peak phase). Participants aged 18 years or older were recruited through stratified random sampling. Suicidal ideation over the past year was assessed using a single “yeso” question. QOL was measured using the Korean version of the abbreviated version of the World Health Organization Quality of Life Assessment, comprising physical, psychological, social, and environmental domains. A multivariate analysis of covariance was conducted to examine the main and interaction effects of suicidal ideation and the COVID-19 phase, adjusting for age, education, marital status, and income. Results: Suicidal ideation was significantly associated with lower QOL in all domains (p<0.001). QOL declined significantly during the pandemic compared with the pre-pandemic phase, especially in the physical, psychological, and social domains. A significant interaction between suicidal ideation and the COVID-19 phase was observed for physical health (p=0.03), driven by a decline in physical QOL among those without suicidal ideation during the pandemic. Conclusions The COVID-19 pandemic negatively impacted multiple domains of QOL, with differing patterns depending on suicidal ideation status. Continuous and adaptive mental health strategies developed according to individuals’ suicidality are needed during and beyond public health crises to mitigate pandemic-related declines in QOL.

Objective: Incontrovertible disease markers are absent in delirium. This study investigated the usefulness of quantitative electroencephalography (qEEG) in diagnosing delirium. Methods: This retrospective case-control study reviewed medical records and qEEG data of 69 age/sex-matched patients (delirium group, n=30; control group, n=39). The first minute of artifact-free EEG data with eyes closed was selected. Nineteen electrodes’ sensitivity, specificity, and correlation with delirium rating scale-revised-98 were analyzed. Results: On comparing the means of absolute power by frontal, central, and posterior regions, the delta and theta powers showed significant differences (p<0.001) in all regions, and the magnitude of the absolute power was higher in the delirium group than in the control group; only the posterior region showed a significant (p<0.001) difference in beta power. The spectral power of theta at the frontal region (area under the curve [AUC]=0.84) and theta at the central and posterior regions (AUC=0.83) showed 90% sensitivity and 79% specificity, respectively, in differentiating delirious patients and controls. The beta power of the central region showed a significant negative correlation with delirium severity (R=-0.457, p=0.011). Conclusion Power spectrum analysis of qEEG showed high accuracy in screening delirium among patients. The study suggests qEEG as a potential aid in diagnosing delirium.

Objectives: ：This study assessed the psychological impact of quarantine during the coronavirus disease 2019 (COVID-19) outbreak. Methods: ：A total of 2080 participants filled the self-report questionnaire from March 17 to April 20, 2020 in Daegu, Republic of Korea. An online link was sent to currently or previously quarantined participants. The self-report questionnaire included patient health questionnaire-9 (PHQ-9), generalized anxiety disorder-7 (GAD-7), primary care post-traumatic stress disorder screen for diagnostic and statistical manual-5 (PTSD-PC), state-trait anger expression inventory (STAXI), and P4 suicidality screener scale (P4). PHQ-9 score of 5 or more and 9 or less indicates mild to moderate depressive symptoms, and 10 or more indicates severe depressive symptoms; A GAD-7 score of 5 or more and 14 or less indicates mild to moderate anxiety symptoms, and a score of 15 or more indicates severe anxiety symptoms; A PTSD-PC-5 score of 2 indicates mild to moderate PTSD; a score of 3 or higher indicates severe PTSD; A STAXI score of 14 or higher indicates severe anger symptoms; In P4, the cut-off points for each self-report questionnaire were set as mild suicidal thoughts at 1 point or more and 2 points or less, and severe suicide thoughts at 3 or more points. Logistic regression analyses were used to explore COVID-19-related risk factors. Results: ：The prevalence of mental health symptoms among the survey respondents was at 52.5% for depression, 44.5% for anxiety, 39.4% for post-traumatic stress, 31.6% for anger, and 10.9% for suicidal ideation. Participants with confirmed or suspected COVID-19 family members showed a high risk for symptoms of anxiety, posttraumatic stress, and anger. Participants with financial loss had increased symptoms of depression, anxiety, posttraumatic stress, anger, and suicidal ideation. Participants with a history of medical/psychiatric illnesses reported more symptoms of depression, anxiety, post-traumatic stress, anger, and suicidal ideation. Having inadequate basic supplies during quarantine was associated with negative mental health outcomes. Conclusions ：Quarantine had a negative psychological impact on all five mental health factors. The risk of depression, anxiety, post-traumatic stress disorder, anger, and suicidality increased among those who suffered from financial losses due to COVID-19. The associated risk factors will help identify populations at risk for mental health problems and implement mental health intervention policies.