Joohee Lee

Background and Objective We explored in this study whether insomnia, viral anxiety, reassurance- seeking behavior, and preoccupation with coronavirus disease (COVID-19) are related among the general population. As well, we explored the possibility that insomnia may mediate the association between COVID-19 viral anxiety and preoccupation.Methods During November 9–15, 2021, 400 participants voluntarily completed this survey, and participants’ age, sex, living location, and marital status were collected. Responses to questions about COVID-19 were also gathered, and their symptoms were rated using the Obsession with COVID-19 Scale (OCS), Coronavirus Reassurance-Seeking Behaviors Scale (CRBS), Fear of COVID-19 scale (FCV-19S), and Insomnia Severity Index (ISI).Results Preoccupation with COVID-19 was predicted by young age (β = -0.08, p = 0.012), CRBS (β = 0.52, p < 0.001), FCV-19S (β = 0.30, p < 0.001), and ISI (β = 0.07, p = 0.029) (adjusted R2 = 0.62, F = 163.6, p < 0.001). Mediation analysis showed that insomnia partially mediates the influence of reassurance seeking behavior and viral anxiety on preoccupation with COVID-19.Conclusions Sleep disturbances can contribute to a vicious cycle of hypochondriacal preoccupation with COVID-19. In order to reduce an individual’s viral anxiety, insomnia symptoms must be addressed.

Objective We aimed to explore the influence of public workers’ distress or viral anxiety on their level of depression and work engagement during the coronavirus disease (COVID-19) pandemic. Additionally, we ascertain the mediation effect of resilience and public service motivation on this association.Methods A total of 300 public workers participated in this online survey. Their demographic characteristics and responses to survey items were collected using the Stress and Anxiety to Viral Epidemics–6 items Scale, the Patient Health Questionnaire–9 items Scale, the Public Service Motivation (PSM) Scale, the Nine-item Utrecht Work Engagement Scale, the Korean Occupational Stress Scale–Short Form, and the Brief Resilience Scale.Results Work engagement of public workers was expected by PSM (β=0.28, p<0.001), resilience (β=0.30, p<0.001), and work-related stress (β=-0.40, p<0.001) (F=57.4, p<0.001). Depression was expected by fewer years of employment (β=-0.12, p=0.02), viral anxiety (β= 0.21, p<0.001), and low resilience (β=-0.42, p<0.001) (F=22.1, p<0.001). Resilience and PSM partially mediated the effects of work-related stress on work engagement. Depression was influenced by COVID-19–induced viral anxiety, and their resilience—but not PSM—mediated the association.Conclusion Public workers’ resilience and PSM partially mediated the effects of work-related stress on work engagement. The influence of viral anxiety on public workers’ depression was mediated by their resilience but not PSM.

Kikyoung Yi, Joohee Lee, Sungook Yeo, Kyumin Kim, Seockhoon Chung. Clin Psychopharmacol Neurosci 2022;20:364-72. https://doi.org/10.9758/cpn.2022.20.2.364

Objective The aim of this study was to explore the factors that can influence the severity of insomnia in the general population. We also aimed to examine whether sleep effort mediates the association between dysfunctional beliefs about sleep or the discrepancy between desired time in bed and desired total sleep time (DBST) and insomnia severity in individuals.Methods A total of 387 participants enrolled in this e-survey study. The symptoms were rated using the insomnia severity index (ISI), Patients Health Questionnaire-9 items, Dysfunctional Beliefs about Sleep-2 items, Glasgow Sleep Effort Scale, and Stress and Anxiety to Viral Epidemics-6 items. In addition, we defined a new sleep index named the DBST index. A linear regression analysis was performed to explore the factors predicting ISI scores, and mediation analysis was implemented to explore whether persistent preoccupation with sleep mediated the influence of dysfunctional beliefs about sleep and DBST on insomnia severity.Results A linear regression analysis investigated depression (β=0.17, p<0.001), sleep effort (β=0.50, p<0.001), dysfunctional beliefs about sleep (β=0.13, p=0.001), and DBST (β=0.09, p=0.014) (adjusted R2=0.50, F=65.7, p<0.001). Additionally, we observed that persistent preoccupation with sleep partially mediated the influence of dysfunctional beliefs about sleep and DBST on insomnia severity.Conclusion Depression, preoccupation with sleep, dysfunctional beliefs about sleep, and DBST influenced the insomnia severity of the general population. We also observed that a persistent preoccupation with sleep partially mediated the influence of dysfunctional beliefs about sleep and the DBST index on insomnia severity.

Objective This study aimed to explore whether screen time and the screen type impacted various health aspects of children, including physical activity (PA), sleep quality, and eating habits. Additionally, we investigated whether children’s eating behavior while using electronic devices affects their physical and mental health.Methods We conducted an online survey asking for screen use (duration, type, and purpose), PA, eating habits, sleep problems, and level of depression. The participants were children between the ages of 3 and 7 years, and the survey was answered by the participants’ parents from March 3 to March 20, 2021.Results A screen time of ≥2 h in children was associated with various clinical characteristics, such as body mass index (BMI), sleep problems, depression, decreased PA, and unusual eating habits. Children’s food eating behavior while using electronic devices was predicted by a total screen time ≥2 h, smartphone screen time ≥2 h, sleep problems, owning electronic devices, and eating unhealthy food.Conclusion There was an interplay among children’s PAs, eating behaviors, depression, sleep problems, and screen time in this pandemic era. Therefore, guiding children on the correct use of electronic devices and helping them eat healthy are paramount during this COVID-19 pandemic.

Lee J, et al. J Korean Med Sci. 2022 May;37(21):e157. https://doi.org/10.3346/jkms.2022.37.e157

Background and Objective The aim of this study is to explore the usefulness of the Stress and Anxiety to Viral Epidemic-3 items (SAVE-3) scale as a tool for assessing work-related stress in healthcare workers.Methods There were 389 participants and all remained anonymous. The SAVE-9, the Patient Health Questionnaire-4, the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI-HSS-MP), the perceived stress scale (PSS), and single item insomnia measure were used. After checking whether the SAVE-3 scale is clustered into a sole factor from SAVE-9 scale based on principal component analysis with promax rotation, confirmatory factor analysis (CFA) was done on the 3 items of the SAVE-3 to examine the factorial validity for a unidimensional structure.Results The SAVE-3 was clustered with factor loadings from 0.664–0.752, and a CFA revealed that 3 items of the SAVE-3 cohered together into a unidimensional construct with fit for all of indices (comparative fit index = 1.00; Tucker Lewis index = 1.031; standardized root-mean-square residual = 0.001; root-mean-square-error of approximation = 0.00). The SAVE-3 scale showed acceptable reliability (Cronbach’s α = 0.56 and McDonald’s ω = 0.57) in this sample. A high SAVE-3 score correlated significantly with younger age (r = -0.12, p = 0.02), a high PSS score (r = 0.24, p < 0.001), a high total score for the MBI-HSS-MP (r = 0.35, p < 0.001) and all of its subscales (emotional exhaustion, r = 0.40, p < 0.001; personal accomplishment, r = -0.14, p < 0.005; depersonalization, r = 0.39, p < 0.001), and poor sleep quality (r = 0.15, p < 0.001).Conclusions Taken together, the data suggest that SAVE-3 is a reliable, valid, and usable scale for measuring work-related stress in healthcare workers during the COVID-19 epidemic.

Chung S, et al. J Korean Med Sci. 2021 Nov;36(47):e319. https://doi.org/10.3346/jkms.2021.36.e319

Ju G, et al. J Korean Med Sci. 2021 Sep;36(36):e262. https://doi.org/10.3346/jkms.2021.36.e262