Objective: Coronavirus disease-2019 (COVID-19) had a significant impact on the mental health of healthcare workers. Related assessments should be included in plans for future pandemics. We investigated the connections between grief, viral anxiety, depression, and preoccupation in the context of COVID-19 in healthcare workers, to determine which factors will need to be incorporated. Methods: A total of 267 healthcare workers who had experienced the death of at least one patient during the COVID-19 pandemic were asked to respond to questionnaires assessing grief, viral anxiety, depression, loneliness, and preoccupation with COVID-19, based on their emotional state during the 2 weeks immediately after the death. Multivariate linear regression, causal mediation analysis and structural equation modeling were used to examine the psychological processes underlying grief. Results: Linear regression showed that viral anxiety (β=0.287, 95% confidence interval [CI]: 0.235–0.338, p<0.001) and depression (β= 0.157, 95% CI: 0.073–0.241, p<0.001) had independent associations with preoccupation with COVID-19. Causal mediation analysis revealed that both viral anxiety (proportion mediated: 0.51, 95% CI: 0.37–0.66, p<0.001) and depression (proportion mediated: 0.77, 95% CI: 0.50–1.08, p<0.001) were mediators between grief and preoccupation with COVID-19. In a structural equation model, viral anxiety and depression mediated most of the effects of grief on preoccupation with COVID-19, and loneliness was a mediator between grief and depression. Conclusion Contingency plans for the next pandemic are being formulated. Effective measures to protect the mental health of healthcare workers should be included, and such measures should consist of assessments for grief, viral anxiety, depression, and loneliness.

Objective: This study investigated whether the discrepancy between desired time in bed and desired total sleep time (DBST) index could be a meaningful indicator for assessing insomnia severity in a clinical sample of patients with insomnia. Furthermore, we sought to identify the mediators of the association between DBST and insomnia severity in individuals with insomnia. Methods: We collected the medical records of 127 patients with insomnia. Each participant’s DBST index was calculated using sleep indices, including time and duration variables. Psychological symptoms were investigated using the Insomnia Severity Index (ISI), Patients Health Questionnaire-9 items (PHQ-9), Generalized Anxiety Disorder-7, Dysfunctional Beliefs and Attitudes about Sleep-16 items (DBAS-16), and Epworth Sleepiness Scale. Results: The DBST index was significantly correlated with the ISI (r=0.20, p<0.05), desired total sleep time (r=-0.52, p<0.001), and desired time in bed (r=0.32, p<0.01). Linear regression analysis revealed that insomnia severity was associated with age (β=-0.18, p=0.018), DBST (β=0.23, p=0.003), PHQ-9 (β=0.23, p=0.031), and DBAS-16 (β=0.42, p<0.001). The DBST directly influenced insomnia severity, although indirect effects of mediators were not significant. Conclusion The DBST index directly influenced insomnia severity regardless of the mediating effects of psychological factors among a clinical sample of patients with insomnia. This finding implies that the DBST index can be a simple measure of insomnia severity, even among patients with insomnia.

Objective: Coronavirus disease-2019 (COVID-19) had a significant impact on the mental health of healthcare workers. Related assessments should be included in plans for future pandemics. We investigated the connections between grief, viral anxiety, depression, and preoccupation in the context of COVID-19 in healthcare workers, to determine which factors will need to be incorporated. Methods: A total of 267 healthcare workers who had experienced the death of at least one patient during the COVID-19 pandemic were asked to respond to questionnaires assessing grief, viral anxiety, depression, loneliness, and preoccupation with COVID-19, based on their emotional state during the 2 weeks immediately after the death. Multivariate linear regression, causal mediation analysis and structural equation modeling were used to examine the psychological processes underlying grief. Results: Linear regression showed that viral anxiety (β=0.287, 95% confidence interval [CI]: 0.235–0.338, p<0.001) and depression (β= 0.157, 95% CI: 0.073–0.241, p<0.001) had independent associations with preoccupation with COVID-19. Causal mediation analysis revealed that both viral anxiety (proportion mediated: 0.51, 95% CI: 0.37–0.66, p<0.001) and depression (proportion mediated: 0.77, 95% CI: 0.50–1.08, p<0.001) were mediators between grief and preoccupation with COVID-19. In a structural equation model, viral anxiety and depression mediated most of the effects of grief on preoccupation with COVID-19, and loneliness was a mediator between grief and depression. Conclusion Contingency plans for the next pandemic are being formulated. Effective measures to protect the mental health of healthcare workers should be included, and such measures should consist of assessments for grief, viral anxiety, depression, and loneliness.

Objective: This study investigated whether the discrepancy between desired time in bed and desired total sleep time (DBST) index could be a meaningful indicator for assessing insomnia severity in a clinical sample of patients with insomnia. Furthermore, we sought to identify the mediators of the association between DBST and insomnia severity in individuals with insomnia. Methods: We collected the medical records of 127 patients with insomnia. Each participant’s DBST index was calculated using sleep indices, including time and duration variables. Psychological symptoms were investigated using the Insomnia Severity Index (ISI), Patients Health Questionnaire-9 items (PHQ-9), Generalized Anxiety Disorder-7, Dysfunctional Beliefs and Attitudes about Sleep-16 items (DBAS-16), and Epworth Sleepiness Scale. Results: The DBST index was significantly correlated with the ISI (r=0.20, p<0.05), desired total sleep time (r=-0.52, p<0.001), and desired time in bed (r=0.32, p<0.01). Linear regression analysis revealed that insomnia severity was associated with age (β=-0.18, p=0.018), DBST (β=0.23, p=0.003), PHQ-9 (β=0.23, p=0.031), and DBAS-16 (β=0.42, p<0.001). The DBST directly influenced insomnia severity, although indirect effects of mediators were not significant. Conclusion The DBST index directly influenced insomnia severity regardless of the mediating effects of psychological factors among a clinical sample of patients with insomnia. This finding implies that the DBST index can be a simple measure of insomnia severity, even among patients with insomnia.

Objective: Coronavirus disease-2019 (COVID-19) had a significant impact on the mental health of healthcare workers. Related assessments should be included in plans for future pandemics. We investigated the connections between grief, viral anxiety, depression, and preoccupation in the context of COVID-19 in healthcare workers, to determine which factors will need to be incorporated. Methods: A total of 267 healthcare workers who had experienced the death of at least one patient during the COVID-19 pandemic were asked to respond to questionnaires assessing grief, viral anxiety, depression, loneliness, and preoccupation with COVID-19, based on their emotional state during the 2 weeks immediately after the death. Multivariate linear regression, causal mediation analysis and structural equation modeling were used to examine the psychological processes underlying grief. Results: Linear regression showed that viral anxiety (β=0.287, 95% confidence interval [CI]: 0.235–0.338, p<0.001) and depression (β= 0.157, 95% CI: 0.073–0.241, p<0.001) had independent associations with preoccupation with COVID-19. Causal mediation analysis revealed that both viral anxiety (proportion mediated: 0.51, 95% CI: 0.37–0.66, p<0.001) and depression (proportion mediated: 0.77, 95% CI: 0.50–1.08, p<0.001) were mediators between grief and preoccupation with COVID-19. In a structural equation model, viral anxiety and depression mediated most of the effects of grief on preoccupation with COVID-19, and loneliness was a mediator between grief and depression. Conclusion Contingency plans for the next pandemic are being formulated. Effective measures to protect the mental health of healthcare workers should be included, and such measures should consist of assessments for grief, viral anxiety, depression, and loneliness.

Objective: This study investigated whether the discrepancy between desired time in bed and desired total sleep time (DBST) index could be a meaningful indicator for assessing insomnia severity in a clinical sample of patients with insomnia. Furthermore, we sought to identify the mediators of the association between DBST and insomnia severity in individuals with insomnia. Methods: We collected the medical records of 127 patients with insomnia. Each participant’s DBST index was calculated using sleep indices, including time and duration variables. Psychological symptoms were investigated using the Insomnia Severity Index (ISI), Patients Health Questionnaire-9 items (PHQ-9), Generalized Anxiety Disorder-7, Dysfunctional Beliefs and Attitudes about Sleep-16 items (DBAS-16), and Epworth Sleepiness Scale. Results: The DBST index was significantly correlated with the ISI (r=0.20, p<0.05), desired total sleep time (r=-0.52, p<0.001), and desired time in bed (r=0.32, p<0.01). Linear regression analysis revealed that insomnia severity was associated with age (β=-0.18, p=0.018), DBST (β=0.23, p=0.003), PHQ-9 (β=0.23, p=0.031), and DBAS-16 (β=0.42, p<0.001). The DBST directly influenced insomnia severity, although indirect effects of mediators were not significant. Conclusion The DBST index directly influenced insomnia severity regardless of the mediating effects of psychological factors among a clinical sample of patients with insomnia. This finding implies that the DBST index can be a simple measure of insomnia severity, even among patients with insomnia.

Objective: Coronavirus disease-2019 (COVID-19) had a significant impact on the mental health of healthcare workers. Related assessments should be included in plans for future pandemics. We investigated the connections between grief, viral anxiety, depression, and preoccupation in the context of COVID-19 in healthcare workers, to determine which factors will need to be incorporated. Methods: A total of 267 healthcare workers who had experienced the death of at least one patient during the COVID-19 pandemic were asked to respond to questionnaires assessing grief, viral anxiety, depression, loneliness, and preoccupation with COVID-19, based on their emotional state during the 2 weeks immediately after the death. Multivariate linear regression, causal mediation analysis and structural equation modeling were used to examine the psychological processes underlying grief. Results: Linear regression showed that viral anxiety (β=0.287, 95% confidence interval [CI]: 0.235–0.338, p<0.001) and depression (β= 0.157, 95% CI: 0.073–0.241, p<0.001) had independent associations with preoccupation with COVID-19. Causal mediation analysis revealed that both viral anxiety (proportion mediated: 0.51, 95% CI: 0.37–0.66, p<0.001) and depression (proportion mediated: 0.77, 95% CI: 0.50–1.08, p<0.001) were mediators between grief and preoccupation with COVID-19. In a structural equation model, viral anxiety and depression mediated most of the effects of grief on preoccupation with COVID-19, and loneliness was a mediator between grief and depression. Conclusion Contingency plans for the next pandemic are being formulated. Effective measures to protect the mental health of healthcare workers should be included, and such measures should consist of assessments for grief, viral anxiety, depression, and loneliness.

Objective: This study investigated whether the discrepancy between desired time in bed and desired total sleep time (DBST) index could be a meaningful indicator for assessing insomnia severity in a clinical sample of patients with insomnia. Furthermore, we sought to identify the mediators of the association between DBST and insomnia severity in individuals with insomnia. Methods: We collected the medical records of 127 patients with insomnia. Each participant’s DBST index was calculated using sleep indices, including time and duration variables. Psychological symptoms were investigated using the Insomnia Severity Index (ISI), Patients Health Questionnaire-9 items (PHQ-9), Generalized Anxiety Disorder-7, Dysfunctional Beliefs and Attitudes about Sleep-16 items (DBAS-16), and Epworth Sleepiness Scale. Results: The DBST index was significantly correlated with the ISI (r=0.20, p<0.05), desired total sleep time (r=-0.52, p<0.001), and desired time in bed (r=0.32, p<0.01). Linear regression analysis revealed that insomnia severity was associated with age (β=-0.18, p=0.018), DBST (β=0.23, p=0.003), PHQ-9 (β=0.23, p=0.031), and DBAS-16 (β=0.42, p<0.001). The DBST directly influenced insomnia severity, although indirect effects of mediators were not significant. Conclusion The DBST index directly influenced insomnia severity regardless of the mediating effects of psychological factors among a clinical sample of patients with insomnia. This finding implies that the DBST index can be a simple measure of insomnia severity, even among patients with insomnia.

Objectives: ：Self-poisoning is the leading cause of visits to the emergency departments after a suicide attempts. This study is aimed to compare the patient characteristics according to the category of drugs ingested by the patients who attempted suicide. Methods: ：All medical charts were retrospectively reviewed from patients who visited the emergency center, at Seoul Medical Center, due to intentional self-poisoning from April of 2011 to July of 2019. We investigated the information regarding the subtype and quantity of the intoxication drug, how it was obtained, suicidal history, and psychiatric history, as well as, sociodemographic information. Variables were compared between prescription drug (PD) and non-prescription drug (NPD) poisoning groups. Results: ：The mean age of the NPD poisoning group was significantly lower than that of the PD poisoning group. The patient ratio of those enrolled in national health insurance and living with spouses were significantly higher in the NPD poisoning group. Compared to the NPD poisoning group, the PD poisoning group had a higher incidence of mental illnesses, underlying diseases and ratio of involuntary visit to the emergency department.Among the prescription drugs, the benzodiazepine poisoning group had a higher rate of self-prescription than the non-poisoning group, while the zolpidem poisoning group had a higher rate of the using someone else’s prescription than other drugs. Each single drug poisoning group (benzodiazepine, zolpidem, and antidepressant singleagent) had a higher rate of no mental illness than each of the mixed-poisoning group. Conclusions ：Guidelines for regulating non-prescription drugs are needed as a matter of suicide prevention. Also, this study suggests that clinicians need to be careful when issuing prescriptions and should suicidal risk according to patients’ characteristics, duration of follow-up and type of drug packaging.

Objectives: ：Self-poisoning is the leading cause of visits to the emergency departments after a suicide attempts. This study is aimed to compare the patient characteristics according to the category of drugs ingested by the patients who attempted suicide. Methods: ：All medical charts were retrospectively reviewed from patients who visited the emergency center, at Seoul Medical Center, due to intentional self-poisoning from April of 2011 to July of 2019. We investigated the information regarding the subtype and quantity of the intoxication drug, how it was obtained, suicidal history, and psychiatric history, as well as, sociodemographic information. Variables were compared between prescription drug (PD) and non-prescription drug (NPD) poisoning groups. Results: ：The mean age of the NPD poisoning group was significantly lower than that of the PD poisoning group. The patient ratio of those enrolled in national health insurance and living with spouses were significantly higher in the NPD poisoning group. Compared to the NPD poisoning group, the PD poisoning group had a higher incidence of mental illnesses, underlying diseases and ratio of involuntary visit to the emergency department.Among the prescription drugs, the benzodiazepine poisoning group had a higher rate of self-prescription than the non-poisoning group, while the zolpidem poisoning group had a higher rate of the using someone else’s prescription than other drugs. Each single drug poisoning group (benzodiazepine, zolpidem, and antidepressant singleagent) had a higher rate of no mental illness than each of the mixed-poisoning group. Conclusions ：Guidelines for regulating non-prescription drugs are needed as a matter of suicide prevention. Also, this study suggests that clinicians need to be careful when issuing prescriptions and should suicidal risk according to patients’ characteristics, duration of follow-up and type of drug packaging.