Objective: Understanding the specific fears associated with coronavirus disease-2019 (COVID-19), particularly within different cultural contexts, is crucial for developing effective mental health interventions. This study aims to develop and validate the COVID-19 Infection Fear Scale (CIFS) in a collectivist cultural context such as Korea. Methods: A total of 1,002 adults aged 19 to 70 participated in an online survey in May 2020. The CIFS was developed through a multidisciplinary approach, categorizing public fears into two domains: fear of infection and fear of negative outcomes post-infection. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to validate the factor structure. Reliability and construct validity were assessed through correlations with anxiety (Generalized Anxiety Disorder-7), depression (Patient Health Questionnaire-9), suicidal ideation, and coping strategies. Results: The CIFS demonstrated high internal consistency. EFA and CFA supported a two-factor model. The Rasch analysis confirmed good item fit, with infit and outfit indices within the acceptable range. Differential item functioning analysis indicated minor sex and age biases, addressed without removing items. Construct validity was supported by significant correlations with anxiety, depression, suicidal ideation, and coping strategies. Fear of negative consequences post-infection showed a stronger correlation with psychological distress than fear of infection. Conclusion The CIFS is a reliable and valid tool for measuring fear related to COVID-19 infection and its consequences, particularly within a collectivist cultural context. This scale can aid in identifying individuals at higher risk of psychological distress and inform targeted interventions.

Objective: Understanding the specific fears associated with coronavirus disease-2019 (COVID-19), particularly within different cultural contexts, is crucial for developing effective mental health interventions. This study aims to develop and validate the COVID-19 Infection Fear Scale (CIFS) in a collectivist cultural context such as Korea. Methods: A total of 1,002 adults aged 19 to 70 participated in an online survey in May 2020. The CIFS was developed through a multidisciplinary approach, categorizing public fears into two domains: fear of infection and fear of negative outcomes post-infection. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to validate the factor structure. Reliability and construct validity were assessed through correlations with anxiety (Generalized Anxiety Disorder-7), depression (Patient Health Questionnaire-9), suicidal ideation, and coping strategies. Results: The CIFS demonstrated high internal consistency. EFA and CFA supported a two-factor model. The Rasch analysis confirmed good item fit, with infit and outfit indices within the acceptable range. Differential item functioning analysis indicated minor sex and age biases, addressed without removing items. Construct validity was supported by significant correlations with anxiety, depression, suicidal ideation, and coping strategies. Fear of negative consequences post-infection showed a stronger correlation with psychological distress than fear of infection. Conclusion The CIFS is a reliable and valid tool for measuring fear related to COVID-19 infection and its consequences, particularly within a collectivist cultural context. This scale can aid in identifying individuals at higher risk of psychological distress and inform targeted interventions.

Objective: Understanding the specific fears associated with coronavirus disease-2019 (COVID-19), particularly within different cultural contexts, is crucial for developing effective mental health interventions. This study aims to develop and validate the COVID-19 Infection Fear Scale (CIFS) in a collectivist cultural context such as Korea. Methods: A total of 1,002 adults aged 19 to 70 participated in an online survey in May 2020. The CIFS was developed through a multidisciplinary approach, categorizing public fears into two domains: fear of infection and fear of negative outcomes post-infection. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to validate the factor structure. Reliability and construct validity were assessed through correlations with anxiety (Generalized Anxiety Disorder-7), depression (Patient Health Questionnaire-9), suicidal ideation, and coping strategies. Results: The CIFS demonstrated high internal consistency. EFA and CFA supported a two-factor model. The Rasch analysis confirmed good item fit, with infit and outfit indices within the acceptable range. Differential item functioning analysis indicated minor sex and age biases, addressed without removing items. Construct validity was supported by significant correlations with anxiety, depression, suicidal ideation, and coping strategies. Fear of negative consequences post-infection showed a stronger correlation with psychological distress than fear of infection. Conclusion The CIFS is a reliable and valid tool for measuring fear related to COVID-19 infection and its consequences, particularly within a collectivist cultural context. This scale can aid in identifying individuals at higher risk of psychological distress and inform targeted interventions.

Objective: Understanding the specific fears associated with coronavirus disease-2019 (COVID-19), particularly within different cultural contexts, is crucial for developing effective mental health interventions. This study aims to develop and validate the COVID-19 Infection Fear Scale (CIFS) in a collectivist cultural context such as Korea. Methods: A total of 1,002 adults aged 19 to 70 participated in an online survey in May 2020. The CIFS was developed through a multidisciplinary approach, categorizing public fears into two domains: fear of infection and fear of negative outcomes post-infection. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to validate the factor structure. Reliability and construct validity were assessed through correlations with anxiety (Generalized Anxiety Disorder-7), depression (Patient Health Questionnaire-9), suicidal ideation, and coping strategies. Results: The CIFS demonstrated high internal consistency. EFA and CFA supported a two-factor model. The Rasch analysis confirmed good item fit, with infit and outfit indices within the acceptable range. Differential item functioning analysis indicated minor sex and age biases, addressed without removing items. Construct validity was supported by significant correlations with anxiety, depression, suicidal ideation, and coping strategies. Fear of negative consequences post-infection showed a stronger correlation with psychological distress than fear of infection. Conclusion The CIFS is a reliable and valid tool for measuring fear related to COVID-19 infection and its consequences, particularly within a collectivist cultural context. This scale can aid in identifying individuals at higher risk of psychological distress and inform targeted interventions.

Objective: Understanding the specific fears associated with coronavirus disease-2019 (COVID-19), particularly within different cultural contexts, is crucial for developing effective mental health interventions. This study aims to develop and validate the COVID-19 Infection Fear Scale (CIFS) in a collectivist cultural context such as Korea. Methods: A total of 1,002 adults aged 19 to 70 participated in an online survey in May 2020. The CIFS was developed through a multidisciplinary approach, categorizing public fears into two domains: fear of infection and fear of negative outcomes post-infection. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to validate the factor structure. Reliability and construct validity were assessed through correlations with anxiety (Generalized Anxiety Disorder-7), depression (Patient Health Questionnaire-9), suicidal ideation, and coping strategies. Results: The CIFS demonstrated high internal consistency. EFA and CFA supported a two-factor model. The Rasch analysis confirmed good item fit, with infit and outfit indices within the acceptable range. Differential item functioning analysis indicated minor sex and age biases, addressed without removing items. Construct validity was supported by significant correlations with anxiety, depression, suicidal ideation, and coping strategies. Fear of negative consequences post-infection showed a stronger correlation with psychological distress than fear of infection. Conclusion The CIFS is a reliable and valid tool for measuring fear related to COVID-19 infection and its consequences, particularly within a collectivist cultural context. This scale can aid in identifying individuals at higher risk of psychological distress and inform targeted interventions.

Purpose: This study aimed to compare the clinical significance of two parameters, division of standardized uptake value (SUV) of target arterial activity by background venous blood pool activity ( ­SUVA/V ) and subtraction of background venous blood pool activity from SUV of target arterial activity ­(SUVA‑V ) of carotid arteries with atherosclerotic plaques using 18F-fluorodeoxyglucose (FDG) positron emission tomography and computed tomography (PET/CT). Methods: Patients aged 50 years or more who were diagnosed with carotid artery stenosis of 50% or more with carotid Doppler ultrasonography and had torso 18F-FDG PET/CT were enrolled retrospectively and classified patients who developed cerebrovascular events (CVEs) within 5 years after 18F-FDG PET/CT scan as the active group and patients who did not experience the CVE within 5 years as an inactive group. We calculated SUVA/V and ­SUVA‑V using measurements of ­SUVmax Results: SUVA‑V ­ SUVA‑V_high , and ­SUVA‑V_low were significantly higher in the active group than in the inactive group, but neithe SUVA/V ­ SUVA‑V_high , nor ­­SUVA‑V_low showed significant differences between the active and inactive groups. Thedifference in rank between groups of SUVA‑V_high and ­SUVA‑V_low was greater than the difference in rank between groups of SUVA‑V_high and ­­SUVA‑V_low . The CVE incidence differed between SUVA‑V_high and ­­SUVA‑V_low of high carotid FDG uptake, but the CVE incidence did not differ between SUVA‑V_high and ­­SUVA‑V_low of high carotid FDG uptake. Conclusion SUVA‑V may be a more rational solution than ­SUVA/V for evaluating atherosclerotic plaque inflammation on 18F-FDG PET/CT.

Objective: The economic hardship brought by the coronavirus disease-2019 (COVID-2019) pandemic has caused mental health problems among people of different socioeconomic status (SES). As social support helps to buffer these problems, we investigated the association between job loss related to COVID-19 and depression, anxiety, and suicidal thoughts; the differences in the effects according to SES; and the mediating effects of social support. Methods: The effects of COVID-19-related job loss on depression, anxiety, and suicidal thoughts among 1,364 people were investigated through semi-structured and self-administered questionnaires: Patient Health Questionnaire–9, General Anxiety Disorder–7, and the Functional Social Support Questionnaire. Logistic regression and subgroup analyses were performed to assess the association between job loss and mental health status, and the moderating effects of income and educational levels. Moreover, the mediating effects of perceived social support on the association between job loss and depression, anxiety, and suicidal thoughts were analyzed. Results: COVID-19-related job loss increased the risk of depression and suicidal thoughts. Adults with lower income and education level were at higher risk of depression, anxiety, and suicidal thoughts; perceived social support level had significant mediating effects on the association between job loss and depression/anxiety; and income level had significant moderating effects on this mediating pathway. Conclusion COVID-19-related job loss were likely to be significantly associated with negative mental health outcomes, especially among individuals with low income and education levels. As social support had buffering effects on such outcomes, related government policies in cooperation with the governance of communities and stakeholders must be prepared.

Objective: This study aimed to observe the changes in people’s depressive levels over 9 months since the coronavirus disease of 2019 (COVID-19) outbreak as well as to identify the predictors of people’s depressive levels including COVID-19 infection fear in the context of South Korea in 2020. Methods: For these purposes, four cross-sectional surveys were periodically implemented from March to December 2020. We randomly recruited 6,142 Korean adults (aged 19 to 70) by using a quota survey. Along with descriptive analysis, which included a one-way analysis of variance and correlations, multiple regression models were built to identify the predictors of people’s depressive levels during the pandemic. Results Overall, people’s depressive levels and fear of COVID-19 infection gradually increased since the COVID-19 outbreak. In addition to demographic variables (i.e., being a female, young age, unemployed, and living alone) and the duration of the pandemic, people’s COVID-19 infection fear was associated with their depressive levels. Conclusion To ameliorate these rising mental health issues, access to mental health services should be secured and expanded, particularly for individuals who present greater vulnerabilities due to socioeconomic characteristics that may affect their mental health.

Background: The coronavirus disease 2019 (COVID-19) outbreak and subsequent disease-containment measures (such as school closures) significantly affected the lives of adolescents. We evaluated the mental-health status and factors associated with anxiety and depression among South Korean adolescents. Methods: A nationwide online survey was conducted to evaluate the mental-health status of South Korean adolescents during the COVID-19 pandemic. In total, 570 adolescents aged 13–18 years were surveyed between May 27 and June 11, 2021. The participants completed the Generalized Anxiety Disorder Scale (GAD-7) and Patient Health Questionnaire (PHQ-9) to determine anxiety and depression symptoms, respectively. Stepwise logistic regression models were constructed to determine factors related to anxiety and depression. Results: Among the study participants, 11.2% and 14.2% had anxiety and depression, respectively. The results suggested that several factors, such as the experience of COVID-19 infection and quarantine of oneself, a family member or an acquaintance, physical and mental health problems, and fear of one’s local community being discriminated against as a COVID-19 area were related to anxiety and depression. Conclusion The present study identified COVID-19-related factors associated with anxiety and depression among adolescents, and provides insights regarding potential interventions to improve the mental health of adolescents. To promote the mental health of adolescents during the COVID-19 pandemic, special attention should be paid to individuals with physical or mental-health problems, and efforts should be made to reduce the negative social and emotional impacts of infection-control measures.

Objective: The aims of this study were to explore the prevalence of and identify predictors of anxiety and depression related to coronavirus disease of 2019 (COVID-19) in South Korea. Methods: The analysis is based on a quota survey design and a sampling frame that permitted recruitment of a national sample of 1,014 individuals between March 17–31, 2020. Several standardized measurements were used, including GAD-7, PHQ-9, COVID-19 related fear, restrictions in deaily life, as well as sociodemographic information and physical and psychosocial needs during the pandemic. Multiple logistic regression was conducted to analyze the influence of sociodemographic factors, fear, and physical/psychosocial needs on anxiety and depression. Results: Significant numbers of the respondents were identifiable anxiety (19.0%) and depression group (17.5%), respectively. This indicates that the depression and anxiety prevalence rate after the COVID-19 is substantially high compared to the depression rate of 2.6% in 2020 and 2.8% in 2018 both reported in the Korea Community Health Survey and the anxiety rate of 5.7% reported in 2016 Survey of Mental Disorders in Korea. Multiple logistic regression results showed age, COVID-19 related fear, and the level of restrictions in daily as significant factors in understanding and predicting the anxiety group. Likfewise, the COVID-19 related fear, restrictions in daily life, and need for economic support were important predictors in predicting the depression group. Conclusion Findings on predictors for greater vulnerability to anxiety and depression has important implications for public mental health in the context of the COVID-19 pandemic.