Objective The aim of this study was to explore the psychometric properties of the Insomnia Severity Index (ISI) based on modern test theory, such as item response theory (IRT) and Rasch analysis, with shortened versions of the ISI among the general population.Methods We conducted two studies to evaluate the reliability and validity of the shortened versions of the ISI in a Korean population. In Study I, conducted via online survey, we performed an exploratory factor analysis (n=400). In Study II, confirmatory factor analysis (CFA) was conducted (n=400). IRT and Rasch analysis were performed on all samples. Participants symptoms were rated using the ISI, Dysfunctional Beliefs and Attitudes about Sleep–16 items, Dysfunctional Beliefs about Sleep–2 items, Patient Health Questionnaire–9 items, and discrepancy between desired time in bed and desired total sleep time.Results CFA showed a good fit for the 2-factor model of the ISI (comparative fit index=0.994, Tucker–Lewis index=0.990, root-meansquare-error of approximation=0.039, and standardized root-mean-square residual=0.046). The 3-item versions also showed a good fit for the model. All scales showed good internal consistency reliability. The scale information curve of the 2-item scale was similar to that of the full-scale ISI. The Rasch analysis outputs suggested a good model fit.Conclusion The shortened 2-factor ISI is a reliable and valid model for assessing the severity of insomnia in the Korean population. The results are needed to be explored further among the clinical sample of insomnia.

We explored the reliability and validity of the Korean version of the Positive and Negative Sleep Appraisal Measure (PANSAM) scale using pre-existing sleep-related questionnaires among the general population. Through an online survey, data from 400 South Korean participants were collected from 10 to 18 January 2022. Symptoms were measured with the PANSAM, Insomnia Severity Index (ISI), the 16-item Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-16), the Glasgow Sleep Effort Scale (GSES), and the discrepancy between desired time in bed and the desired total sleep time (DBST) index. The four PANSAM subscales were reliable and valid tools for measuring individuals’ dysfunctional beliefs about sleep. A confirmatory factor analysis revealed that the full-scale and four-factor model showed a good fit. The full scale and each subscale were significantly correlated with ISI, DBAS-16, and GSES scores. The DBST index was significantly correlated with Subscales 2 and 3. In conclusion, the Korean version of the PANSAM scale and its four subscales can be applied when clinicians measure dysfunctional beliefs regarding sleep among the general population in South Korea. The PANSAM should be explored among other clinical groups to elucidate its applicability as a trans-diagnostic tool while conducting cognitive behavioral therapy for insomnia.

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 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 We aimed to explore whether nursing professionals’ psychological states affect their grief response for a patient’s death in the coronavirus disease-2019 (COVID-19) inpatients’ ward.Methods Survey was conducted among frontline nursing professionals working in COVID-19 inpatients wards at three tertiary-level affiliated hospitals of the University of Ulsan during April 7–26, 2022. Participants’ information such as age, years of employment, or marital status were collected, and their responses to rating scales including Pandemic Grief Scale (PGS) for healthcare workers, Stress and Anxiety to Viral Epidemics-9 items (SAVE-9), Patient Health Questionnaire-9 (PHQ-9), Loneliness and Social Isolation Scale, and Insomnia Severity Scale (ISI) were collected.Results All 251 responses were analyzed. We observed that 34% reportedly suffered from depression. The linear regression analysis showed that a high PGS score was expected by high SAVE-9 (β=0.12, p=0.040), high PHQ-9 (β=0.25, p<0.001), high loneliness (β=0.17, p=0.006), and high ISI score (β=0.16, p=0.006, F=20.05, p<0.001). The mediation analysis showed that the depression of nursing professionals directly influenced their pandemic grief reaction, and their work-related stress and viral anxiety, insomnia severity, and loneliness partially mediated the association.Conclusion We confirm that frontline nursing professionals’ depression directly influenced their grief reaction, and their work-related stress and viral anxiety, insomnia severity, and loneliness partially mediated the association. We hope to establish a psychological and social support system for the mental health of nurses working in the COVID-19 wards.