Data-driven shortened Insomnia Severity Index (ISI): a machine learning approach.

BACKGROUND: The Insomnia Severity Index (ISI) is a widely used questionnaire with seven items for identifying the risk of insomnia disorder. Although the ISI is still short, more shortened versions are emerging for repeated monitoring in routine clinical settings. In this study, we aimed to develop a data-driven shortened version of the ISI that accurately predicts the severity level of insomnia disorder. METHODS: We collected a sample of 800 responses from the EMBRAIN survey system. Based on the responses, seven items were grouped based on the similarity of their response using exploratory factor analysis (EFA). The most representative item within each group was selected by using eXtreme Gradient Boosting (XGBoost). RESULTS: Based on the selected three key items, maintenance of sleep, interference with daily function, and concerns about sleep problems, we developed a data-driven shortened questionnaire of ISI, ISI-3 m (machine learning). ISI-3 m achieved the highest coefficient of determination ( R 2 = 0.910 ) for the ISI score prediction task and the accuracy of 0.965, precision of 0.841, and recall of 0.838 for the multiclass-classification task, outperforming four previous versions of the shortened ISI. CONCLUSION: As ISI-3 m is a highly accurate shortened version of the ISI, it allows clinicians to efficiently screen for insomnia and observe variations in the condition throughout the treatment process. Furthermore, the framework based on the combination of EFA and XGBoost developed in this study can be utilized to develop data-driven shortened versions of the other questionnaires.

Dysfunctional Beliefs and Attitudes about Sleep-6 (DBAS-6): Data-driven shortened version from a machine learning approach.

BACKGROUND: The Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-16) is a widely used self-report instrument for identifying sleep-related cognition. However, its length can be cumbersome in clinical practice. This study aims to develop a data-driven shortened version of the DBAS-16 that efficiently predicts the DBAS-16 total score among the general population. METHODS: We collected 1000 responses to the DBAS-16 from the general population through three separate surveys, each focusing on different aspects of insomnia severity and related factors. Using Exploratory Factor Analysis (EFA) on the survey responses, we grouped DBAS-16 items based on response pattern similarities. The most representative item from each group, showing the highest regression performance with eXtreme Gradient Boosting (XGBoost) in predicting the DBAS-16 total score, was selected to create a shortened version of the DBAS-16. RESULTS: Through EFA and XGBoost, we categorized the DBAS-16 items into six distinct groups. Selecting one item from each group, based on the highest coefficient of determination R2 values in predicting the DBAS-16 total score. After measuring the R2 values for all possible combinations of six items, items 4, 5, 7, 11, 13, and 15 were chosen, exhibiting the highest R2 value. Based on these six items, we developed the DBAS-6, a data-driven shortened version of the DBAS-16. The DBAS-6 exhibited outstanding predictive ability, achieving the highest R2 value of 0.90 for predicting the DBAS-16 total score, surpassing that of a previously developed shortened version. Notably, the DBAS-6 efficiently encapsulates the core aspects of the DBAS-16 and demonstrates robust predictive power over heterogeneous test data samples with distinct statistical characteristics from the training data. CONCLUSION: With its concise format and high predictive accuracy, the DBAS-6 offers a practical tool for assessing dysfunctional beliefs about sleep in clinical settings.

Psychometric Properties of the Insomnia Severity Index and Its Comparison With the Shortened Versions Among the General Population.

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.

Validation of the Grief Support in Healthcare Scale among frontline nursing professionals working in COVID-19 inpatient wards in Korea.

Introduction: During the COVID-19 pandemic, healthcare workers (HCWs) have been exposed to higher levels of anxiety and psychological stress than the general population. Nurses who cared for COVID patients could not avoid repeated mourning as they witnessed the deaths of their patients. Therefore, tools are needed to evaluate whether there is adequate support for the grieving process of HCWs in both qualitative and quantitative manners. Methods: Data from 229 nurses who witnessed the deaths of COVID-19 inpatients were analyzed using an online survey of nurses working in three tertiary hospitals. Factor analysis was conducted to validate the 10-item Korean version of Grief Support in Healthcare Scale (GSHCS). Stress and Anxiety to Viral Epidemics-9 was used to measure stress and anxiety caused by coronavirus, Generalized Anxiety Disorder-7 was used to measure overall anxiety, and Patient Health Questionnaire-9 was used for depression. Convergent validity correlation analysis was also performed with GSHCS. Results: The two-factor model showed a good fit for the 10-item GSHCS (χ 2 = 35.233, df = 34, p = 0.410, CFI = 0.999, TLI = 0.990, RMSEA = 0.013, SRMR = 0.064). Cronbach's alpha is 0.918 and McDonald's omega is 0.913, suggesting that the 10-item version of the GSHCS is reliable for determining psychometric properties. Conclusion: According to this study, the 10-item Korean version of the GSHCS is a reliable and valid measure of psychological support for grief among frontline nursing professionals who have witnessed the deaths of patients they cared for while working in COVID-19 inpatient wards. A two-factor model of the GSHCS has a good model fit and good convergent validity with other rating scales that measure viral anxiety, depression, and general anxiety.

Grief Response of Nursing Professionals Is Associated With Their Depression, Loneliness, Insomnia, and Work-Related Stress While Working in COVID-19 Inpatients Wards.

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 (ß=0.12, p=0.040), high PHQ-9 (ß=0.25, p<0.001), high loneliness (ß=0.17, p=0.006), and high ISI score (ß=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.

Catastrophizing Maladaptive Coping Affects the Association Between Viral Anxiety and Fear of Progression in Cancer Patients During COVID-19 Pandemic.

OBJECTIVE: The aim of the present study was to explore whether or not cancer patients' viral anxiety and depression during the coronavirus-2019 (COVID-19) pandemic were associated with a fear of cancer progression. We also assessed whether coping strategies affected the relationship. METHODS: The present cross-sectional survey included cancer patients who visited Ulsan University Hospital in Ulsan, Korea. The participants' demographic information and responses to the following symptoms rating scales were collected: Stress and Anxiety to Viral Epidemic-6; Patient Health Questionnaire-9; Cognitive Emotion Regulation Questionnaire-short version; or Fear of Progression Questionnaire-short version. RESULTS: Of the 558 cancer patients surveyed, 25 (4.5%) reported that their treatment schedule was delayed during the COVID-19 pandemic. The patients' fear of progression was found to be related to age (ß=-0.08; p=0.011), viral anxiety (ß=0.40; p<0.001), depression (ß=0.26; p<0.001), and catastrophizing coping strategies (ß=0.15; p=0.004), for an overall adjusted R2 of 0.46 (F=66.8; p<0.001). Mediation analysis showed that viral anxiety and depression were directly associated with fear of progression, while catastrophizing mediated this relationship. CONCLUSION: Fear of progression in cancer patients was associated with viral anxiety, depression, and maladaptive coping techniques, such as catastrophizing, during the COVID-19 pandemic.

The Mediating Effect of Reassurance-Seeking Behavior on the Influence of Viral Anxiety and Depression on COVID-19 Obsession Among Medical Students.

Objectives: Healthcare workers experienced great psychological burden due to the continuation of the COVID-19 pandemic. During the pandemic, medical healthcare workers experienced greater instances of insomnia, anxiety, depression, somatization, and obsessive-compulsive symptoms than the general population. This study aimed to explore the association between viral anxiety and obsession with COVID-19 among medical students with reassurance-seeking behavior as a mediator. Methods: In October 2021, an online survey was conducted among medical students at the University of Ulsan College of Medicine. The clinical characteristics of 162 participants and their responses to rating scales, including stress and anxiety to viral Epidemics-6 items (SAVE-6), Coronavirus Reassurance-Seeking Behaviors Scale (CRBS), Patient Health Questionnaire-9 items (PHQ-9), and Obsession with COVID-19 scale were collected. Results: Medical students' obsession with COVID-19 was based on the PHQ-9 (ß = 0.15, p = 0.01), SAVE-6 (ß = 0.43, p < 0.001), and CRBS (ß = 0.38, p < 0.001) scores (adjusted R2 = 0.49, F = 39.9, p < 0.001). Mediation analysis showed that medical students' viral anxiety and depression directly influenced their obsession with COVID-19, and their reassurance-seeking behavior partially mediated the effects of depression or viral anxiety on obsession with COVID-19. Conclusions: Medical students' viral anxiety and depression may affect their obsession with COVID-19, and reassurance-seeking behaviors may mediate this. Therefore, medical students should adopt adaptive coping strategies to prevent high levels of viral anxiety and recurrent reassurance-seeking behavior.

Comparison of autonomous sensory meridian response and binaural auditory beats effects on stress reduction: a pilot study.

This study aimed to compare the effects of Autonomous sensory meridian response (ASMR) and binaural beat (BB) on stress reduction, and to determine whether ASMR and BB can induce changes in quantitative electroencephalography (QEEG). A double-blind randomized trial was conducted. Subjects with stress were recruited considering their perceived stress scale (PSS), Beck depression inventory-II (BDI-II), insomnia severity index (ISI), and state-trait anxiety inventory-state anxiety (STAI-S) scores. Subjects listened to ASMR or BB with music (8 Hz for daytime, 5 Hz for nighttime) for 15 min in daytime and 30 min before going to sleep for 3 weeks. QEEG was measured before and after the intervention. Seventy-six participants (57 female, mean age = 46.12 ± 12.01) finished the trial. After the intervention, PSS, BDI-II, ISI, STAI-S, and PSQI scores improved significantly in both groups. BDI-II and ISI mean scores were normalized in both groups after the intervention. Changes of absolute beta and high beta power in the ASMR group were larger than those in the BB group (p = 0.026, p = 0.040, respectively). Both ASMR and BB are equally effective in reducing stress levels. Unlike BB, ASMR can lead to an increase in beta and high beta waves associated with cortical arousal.

Validation of the Korean Version of the Positive and Negative Sleep Appraisal Measure (PANSAM) as a Tool for Evaluating Dysfunctional Beliefs about Sleep among the General Population.

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.

Stress and Anxiety to Viral Epidemics-6 for Medical Students: Psychometric Properties of the Anxiety Measure for the COVID-19 Pandemic.

The aim of this study was to explore the psychometric properties and validity of Stress and Anxiety to Viral Epidemics-6 items (SAVE-6) among medical students who are at high risk of coronavirus disease 2019 (COVID-19) infection. A total of 212 medical students participated in the online anonymous survey that used SAVE-6, Coronavirus Anxiety Scale (CAS), Generalized Anxiety Disorder-7 items (GAD-7), and Work and Social Adjustment Scale (WSAS). We observed that the single-factor structure model of the SAVE-6 scale showed good internal consistency (Cronbach's alpha = 0.756) and a good convergent validity with GAD-7 (rho = 0.320, p < 0.001), CAS (rho = 0.229, p < 0.001), and WSAS (rho = 0.278, p < 0.001). The appropriate cut-off score of the SAVE-6 scale was determined as 15 points in accordance with at least a mild degree of generalized anxiety (GAD-7 score of 5) among medical students. In conclusion, the SAVE-6 scale can be applied to medical students as a reliable and valid rating scale to assess anxiety response to the present viral pandemic.

Mediation Effect of Self-Efficacy and Resilience on the Psychological Well-Being of Lebanese People During the Crises of the COVID-19 Pandemic and the Beirut Explosion.

Introduction: Self-efficacy signifies an individual's belief in their own ability to perform the actions required to achieve a particular performance. In this study, we used an online survey to assess the mediation effect of resilience and self-efficacy on the overall psychological well-being of Lebanese people during the crises of the COVID-19 pandemic and the Beirut explosion. Methods: Overall, 567 Lebanese people participated in an online survey between March 17-28, 2021. The survey included the Stress and Anxiety to Viral Epidemics-6 items (SAVE-6), Patient Health Questionnaire-9 (PHQ-9), Connor-Davidson Resilience Scale-2 items, WHO-5 Well-being Index, General Self-Efficacy scale, and a single item on insomnia. We also assessed their risk perception regarding exposure to COVID-19 or explosions. Results: About 53% of participants were assessed as having depression (PHQ-9 ≥ 10) in the recent crisis. About half of participants (53.2%) reported feeling more stressed by COVID-19 than by the Beirut explosion, and 23.4% felt more stressed by the Beirut explosion than by COVID-19. Only the SAVE-6 score differed significantly between groups with greater stress responses to COVID-19 and the Beirut explosion. Self-efficacy mediated the influence of depression on people's psychological well-being, and self-efficacy and resilience mediated the influence of viral anxiety on psychological well-being. Conclusion: Self-efficacy is important for reducing people's depression and improving their psychological well-being during the Lebanon crises and also mediates the influence of anxiety in response to the viral epidemic on their psychological well-being in some people.

Tissue transglutaminase-induced down-regulation of matrix metalloproteinase-9.

Tissue transglutaminase (TGase 2) has been reported to have multiple functions in addition to its function as a biological adhesive. To identify its roles, we investigated the effects of TGase 2 on gelatinase activity. The MMP-9 activity of certain cell lines was significantly inhibited with retinoic acid treatment, and this effect was reversed in the presence of a TGase 2 inhibitor. Furthermore, TGase 2 overexpression reduced the MMP-9 protein expression levels and inhibited its activity in both culture media and cell lysate. The decreased mRNA levels of MMP-9 and the results of a promoter assay revealed that TGase 2 may be involved in MMP-9 transcription. Further, data obtained in an immunoprecipitation assay and an electrophoretic mobility shift assay demonstrated that TGase 2 binds to c-Jun and suppresses its binding activity toward AP-1. These results suggest that TGase 2 inhibits MMP-9 via downregulation of MMP-9 transcription activity by blocking the binding of the Jun-fos complex to an AP-1 site.