Objective: This study aimed to investigate characteristics of suicide attempters who visited the emergency department to identify physical risk factors and rescue factors, and to assess the impact of social distancing during coronavirus disease-2019 (COVID-19) on suicide attempters. Methods: The study utilized data from the medical records of suicide attempters who visited the Bucheon Regional Emergency Medical Center of Soonchunhyang University Bucheon Hospital for 3 years from 2019 and the consultation records of the Life Love Crisis Response Team. This cross-sectional study analyzed changes in risk and rescue characteristics of suicide attempters before, during, and after the implementation of social distancing policies. The Risk-Rescue Rating Scale (RRRS) was used to assess the risk and rescue of suicide attempters. Results: During the implementation of social distancing, the RRRS for physical risk demonstrated a 1.67-fold increase in low-risk cases, which further escalated to a 2.39-fold increase post-implementation compared to the period prior to social distancing. Additionally, the RRRS indicated that behaviors became 1.44 times less rescued amid social distancing, with increased tendencies to conceal the act to evade detection and a reluctance to seek help (p<0.001). Conclusion Our findings indicate that it is important to develop suicide prevention programs for low-risk suicide attempts and to identify the characteristics of suicide attempts that occur during large-scale social isolation, such as infectious diseases, in order to develop strategies for suicide prevention in the future.

Objective: This study aimed to identify the factors contributing to post-traumatic growth (PTG) among nurses who experienced patient death during the coronavirus disease-2019 (COVID-19) pandemic and to evaluate the necessity of grief support is required. Methods: An online survey was conducted to assess the experiences of nurses at Ulsan University Hospital who lost patients during the past year of the pandemic. In total, 211 nurses were recruited. We obtained information on the participants’ demographic and clinical characteristics. For symptoms rating, we used the following scales: the Post-traumatic Growth Inventory (PTGI), Stress and Anxiety to Viral Epidemic-9 (SAVE-9), Patient Health Questionnaire (PHQ-9), Pandemic Grief Scale (PGS), and Utrecht Grief Rumination Scale (UGRS), and Grief Support in Healthcare Scale (GSHCS). Pearson’s correlation coefficients, linear regression, and mediation analysis were employed. Results: PTGI scores were significantly correlated with the SAVE-9 (r=0.31, p<0.01), PHQ-9 (r=0.31, p<0.01), PGS (r=0.28, p<0.01), UGRS (r=0.45, p<0.01), and GSHCS scores (r=0.46, p<0.01). The linear regression analysis revealed the factors significantly associated with PTGI scores: SAVE-9 (β=0.16, p=0.014), UGRS (β=0.29, p<0.001), and GSHCS (β=0.34, p<0.001). The mediation analysis revealed that nurses’ stress and anxiety about COVID-19 and grief rumination had a direct impact on PTG, with grief support serving as a significant mediator. Conclusion PTG was promoted by increases in the medical staff’s anxiety and stress related to COVID-19, grief rumination, and grief support. For the medical staff’s experience of bereavement to result in meaningful personal and professional growth, family members, colleagues, and other associates should provide thoughtful support.

Objective: While using digital technologies for social health is widely acknowledged, the relationship between loneliness, social isolation, and digital health literacy remains unknown. This study aimed to assess the levels of loneliness, social isolation, and digital health literacy in older women living alone and to explore the associations between these factors. Methods: In August 2021, a cross-sectional survey was conducted on 145 older women living alone, selected using convenience sampling. The study used the University of California, Los Angeles Loneliness Scale (version 3), Lubben Social Network Scale-6, and Digital Health Technology Literacy-Assessment Questionnaire. The collected data were analyzed using descriptive statistics, the Mann–Whitney U test, the Kruskal–Wallis test, Spearman’s rho correlation, and a generalized linear model (GLM). Results: Of the participants, 22.8% (n=33) reported moderate loneliness, 20.7% (n=30) reported severe loneliness, and 36.6% (n=53) were at risk for social isolation. The mean digital health literacy score among participants was 4.85 (SD=6.92), which is relatively low. Importantly, our findings using a GLM to control for covariates revealed a significant association between loneliness (B=-0.013, p=0.018) and digital health literacy. Conclusion The increased loneliness experienced during the pandemic may contribute to low digital health literacy, alienating these individuals from the benefits of digital technologies. Therefore, in developing digital health programs or policies, it is imperative to consider the psychosocial status of individuals, including loneliness, while enhancing digital health literacy.

Objective: Stigma influences perceptions of mental illness and novel diseases like coronavirus disease-2019 (COVID-19), often impeding healthcare access despite advancements in medical treatment. This study compares the stigma associated with COVID-19 and mental illness to identify factors that could help reduce stigma. Methods: An online survey was conducted in May 2023 among 1,500 participants aged 19 to 65 in South Korea, using a panel from Embrain, an online survey service. The survey assessed stigma and distress related to COVID-19 and mental illness using a validated questionnaire. It collected demographic and clinical data, evaluated COVID-19-related stigma, fear, and knowledge, and measured prejudice and attitudes toward psychiatric treatment. Personality traits were assessed using the Big Five Inventory (BFI)-10. Factors significantly associated with stigma scores were entered into linear regression analysis. Results: COVID-19-related stigma scores were significantly negatively correlated with knowledge of COVID-19 and positively correlated with fear of infection and age. Individuals with a history of COVID-19 infection had significantly lower scores on COVID-19-related stigma. Similarly, mental illness stigma was negatively correlated with knowledge of psychiatric treatment and positively correlated with age, as well as conscientiousness and neuroticism in the BFI. Personal experience with individuals with mental illness was associated with significantly lower stigma scores. Conclusion This study suggests that the mechanism-making stigma was similar in cases of traditional mental illness and a novel infectious disease. Both cognitive and experiential factors influence stigma. Educating the public about the disease and enabling interactions with affected individuals emerge as effective strategies for stigma reduction.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Hundreds of countries have implemented lockdown policies to slow the spread of coronavirus disease-2019 (COVID-19), but the impact of these measures on maternal mental health is not well understood. Methods: This study integrated a stress-process model to examine the pathways from lockdown-related stressors to prenatal psychological outcomes, with COVID-19 coping strategies (COP) and self-efficacy in managing negative affect (NEG) as mediators and lockdown duration, hours on pandemic-related information, and number of pregnancies as moderators. Pregnant women in Shanghai completed the Regulatory Emotional Self-Efficacy Scale, COVID-19 Coping Scale, Depression, Anxiety, and Stress Scale-21. Structural equation modeling (SEM) was used to test and modify the hypothetical model, and moderated mediation and slope analyses were undertaken. Results: In the final SEM demonstrating satisfactory fit, three stressors—decreased household income, insufficient daily supplies, and acquired infections—showed positive direct relationships with NEG and COP. Acquired infections, NEG, and COP were identified as direct predictors of mental health outcomes. The relationship between these three stressors and mental health was mediated by NEG and COP. Additionally, the number of pregnancies moderated the mediating effect of COP; this effect was more pronounced among first-time pregnant women than those with multiple pregnancies. Conclusion This study provides insights into how lockdown measures impact psychological outcomes in pregnant women quarantined at home. Interventions aimed at increasing coping strategies may be more effective for primiparous women during future public health emergencies.

Purpose: This study aimed to identify associations between self-esteem, social support, family empowerment, and health empowerment among children during the COVID-19 pandemic. Methods: A cross-sectional study was conducted among fifth- to sixth-grade children and their parents who were recruited from C elementary school in Gangwon-do, South Korea. The health empowerment, self-esteem, and social support as reported by children were measured by the Korean version of Health Empowerment Scale (K-HES), Self-Esteem Scale, and Perceived Social Support, respectively. The family empowerment as reported by parents of children was measured by the Family Empowerment Scale. Linear regression analysis was performed. Results: Of the participants, children’s self-esteem (β=.46, p<.001) and social support (β=.47, p<.001) and parents’ family empowerment (β=.27, p=.008) were significantly and positively associated with children’s health empowerment. Conclusion Among children in health-vulnerable environments due to the COVID-19 pandemic, establishing interventions for improving health empowerment needs to be considered as a nursing strategy for self-esteem, social support, and family empowerment at the intrapersonal and interpersonal levels.

Purpose: This study aimed to evaluate the lives of small independent restaurant owners during the COVID-19 pandemic. Methods: The participants were 15 small independent restaurant owners operating independent small restaurants during the COVID-19 pandemic. Data were collected individually through in-depth interviews from September 30, 2022, to January 20, 2023. The transcribed interview content analyzed using Corbin and Strauss’s grounded theory approach. Results: Analysis of the psychological resistance experience of small independent restaurant owners with the COVID-19 pandemic resulted in 6 themes, 15 sub-themes, and 40 codes. The core category is revealed as the struggle for survival under the blind spot of uncertainty and helplessness. As a result of axial coding based on the paradigm model, the casual condition was operational difficulties in restaurants affected by the impact of COVID-19, and the contextual condition was bewilderment due to unprecedented circumstances. The central phenomenon was a life shattered by the COVID-19 pandemic. The intervening condition was enduring adversity with hope. The action/interaction strategies to control the phenomenon revealed ongoing struggles in the face of the hardships. In consequence, fostering resilience amid grappling with feelings of helplessness was revealed. Conclusion This study lays the groundwork for designing successful COVID-19 rehabilitation programs. This study shows that the improved climate of the small restaurant industry plays an important role in alleviating the burden of small independent restaurant owners.

Purpose: This study investigates the factors affecting Posttraumatic Growth (PTG) among nurses providing care for patients with COVID-19 in regional medical centers. Methods: A total of 170 nurses from D, P, and G regional medical centers participated in this study. Data were collected through self-administered questionnaires from March 16 to March 31, 2023. IBM SPSS Statistics 27 was used for data analysis, including descriptive statistics, t-test, ANOVA, Pearson’s correlation, and hierarchical regression analysis. Results: Statistically significant differences in PTG were observed based on gender, religion, and experience in caring for patients with emerging infectious diseases. PTG was significantly correlated with resilience, social support, and deliberate rumination. Resilience (β=.22, p=.003), social support (β=.18, p=.012), and deliberate rumination (β=.46, p<.001) were identified as factors influencing the posttraumatic growth of the participants. These variables accounted for 50.1% (F=29.33, p<.001) of the variances in PTG. Conclusion The findings of this study demonstrate the necessity of developing intervention and counseling programs aimed at enhancing deliberate rumination, resilience, and social support to promote PTG among nurses caring for patients with emerging infectious diseases.

Background/Aims: The coronavirus disease 2019 (COVID-19) pandemic has significantly impacted global health, exacerbated metabolic health issues, and altered lifestyle behaviors. This study examined the sex-specific impact of the COVID-19 outbreak on the incidence of metabolic syndrome using data from the Korea National Health and Nutrition Examination Survey (KNHANES). Methods: Data from the KNHANES VII (2018) and VIII (2019–2021), including 15,499 participants, were analyzed. The study population was stratified by sex, and further subdivisions were conducted based on the timeframe relative to the COVID-19 outbreak. Variables such as age, education level, household income, smoking status, and high-risk drinking were analyzed to assess their influence on the prevalence of metabolic syndrome. Results: The overall prevalence of metabolic syndrome significantly increased from 28.11% before the outbreak to 29.69% after the outbreak. Both males and females reported significant increases in waist circumference and fasting glucose levels. Age and education level differentially influenced the prevalence of metabolic syndrome between the sex. Smoking was significantly associated with increased prevalence in males, whereas high-risk drinking was associated with increased prevalence in males and decreased prevalence in females. Conclusions The COVID-19 pandemic has significantly increased the prevalence of metabolic syndrome with notable sex-specific differences. These findings highlight the need for sex-specific public health interventions to mitigate the impact of the pandemic on metabolic health.