Dysfunctional Self-Focus and Fear of Progression in Cancer Patients Mediated by Depression, Anxiety, and Dysfunctional Sleep Beliefs

Objective@#This study explores whether cancer patients’ dysfunctional self-focus is a significant contributor to their fear of progression. In addition, we investigated whether their psychiatric symptoms such as depression, anxiety, and dysfunctional beliefs about sleep may mediate the relationship between these factors. @*Methods@#We conducted a retrospective medical records review of 196 cancer patients who visited the Stress Management Clinic for the first time from March to September 2022. Their demographic information and responses to rating scales such as the Fear of Progression Questionnaire-Short Form (FoP-Q-SF), Dysfunctional Self-focus Attribution Scale (DSAS), Patient Health Questionnaire-9 Items (PHQ-9), State subcategory of the State and Trait of Anxiety Inventory (STAI-S), Insomnia Severity Index (ISI), Cancer-related Dysfunctional Beliefs about Sleep scale (C-DBS), and numeric rating scales of pain and fatigue were collected. @*Results@#A high FoP-Q-SF score was significantly correlated with high PHQ-9 (r=0.60), STAI-S (r=0.38), ISI (r=0.34), C-DBS (r=0.47), pain (r=0.24), fatigue (r=0.37), and DSAS (r=0.58, all p<0.001). A linear regression analysis showed that the FoP-Q-SF score was significantly predicted by younger age (β=-0.13, p=0.011), PHQ-9 (β=0.36, p<0.001), STAI-S (β=0.18, p=0.001), C-DBS (β=0.22, p<0.001), and DSAS (β=0.25, p<0.001). A mediation analysis showed that dysfunctional self-focus directly influenced patients’ fear of progression. In addition, cancer patients’ depression, anxiety, and cancer-related dysfunctional beliefs about sleep mediated this relationship. @*Conclusion@#We observed that dysfunctional self-focus may influence cancer patients’ fear of progression, mediated by depression, anxiety, and cancer-related dysfunctional beliefs about sleep.

Assessing Stress and Anxiety in Firefighters During the Coronavirus Disease-2019 Pandemic: A Comparative Adaptation of the Stress and Anxiety in the Viral Epidemic–9 Items and Stress and Anxiety in the Viral Epidemics–6 Items Scales

Objective@#This study assessed the reliability and validity of the Stress and Anxiety to Viral Epidemics–9 items (SAVE-9) and Stress and Anxiety to Viral Epidemics–6 items (SAVE-6) scales for measuring viral anxiety among firefighters during the coronavirus disease-2019 pandemic. @*Methods@#An online survey was conducted among 304 firefighters assigned in Gyeonggi-do. The SAVE-9 scale, initially developed for healthcare workers, was adapted for firefighters. We compared it with the SAVE-6 scale designed for the general population among the firefighters sample. The confirmatory factor analysis (CFA) was conducted to explore the factor structure of both scales. Internal consistency reliability was checked using Cronbach’s alpha and McDonald’s omega. Convergent validity was assessed in accordance with the Patient Health Questionnaire–9 and Generalized Anxiety Disorder–7 scales. @*Results@#The SAVE-9 scale demonstrated a Cronbach alpha of 0.880, while the SAVE-6 scale yielded an alpha of 0.874. CFA indicated good model fits for both SAVE-9 and SAVE-6 scales among firefighters sample. The SAVE-9 and SAVE-6 comparably measures viral anxiety of firefighters. @*Conclusion@#Both of the SAVE-9 and SAVE-6 scales are reliable and valid instruments for assessing viral anxiety among firefighters during the pandemic.

Mediating Effect of Intolerance of Uncertainty and Cancer-Related Dysfunctional Beliefs About Sleep on Psychological Symptoms and Fear of Progression Among Cancer Patients

Objective@#This study aimed to explore the mediating effects of cancer-related dysfunctional beliefs regarding sleep and intolerance of uncertainty on the effect of depression, insomnia, and anxiety on fear of progression (FoP). @*Methods@#We retrospectively reviewed medical records of patients with cancer who visited the Sleep Clinic for cancer patients in Asan Medical Center for the first time between December 2021 and March 2022. Data collected included age, sex, types of cancer, staging, current treatment modalities, and history of surgical procedures. In addition, psychological symptoms were rated using the Insomnia Severity Scale (ISI), Patient Health Questionnaire–9 items (PHQ-9), State subcategory of the State and Trait of Anxiety Inventory (STAI-S), Short form of Fear of Progression Questionnaire, Cancer-related Dysfunctional Beliefs about Sleep scale (C-DBS), single item of pain and fatigue, Connor Davidson Resilience Scale 2-item (CD-RISC2), and Intolerance of Uncertainty–12 (IUS-12). The predictive variables for FoP were determined by linear regression analysis. @*Results@#The FoP was significantly correlated with age (r=-0.289), ISI (r=0.178), PHQ-9 (r=0.703), STAI-S (r=0.377), fatigue (r=0.452), CD-RISC2 (r=-0.270), IUS-12 (r=0.585), and C-DBS (r=0.427, all p<0.01). A mediation analysis showed that intolerance of uncertainty and dysfunctional beliefs about sleep mediated the relationship of FoP with insomnia, depression, or anxiety. @*Conclusion@#Psychological support for intolerance of uncertainty and cancer-related dysfunctional beliefs about sleep in patients with cancer may be beneficial to reduce their FoP.

Changes in Insomnia Severity are Associated With the Changes in Discrepancy Between Desired Time in Bed and Desired Total Sleep Time Among the General Population

Objective@#The discrepancy between desired time in bed and desired total sleep time (DBST index) is correlated with the severity of insomnia among the general population. This study aimed to explore whether the change in DBST index is associated with changes in insomnia severity. @*Methods@#The study was conducted as a single source tracking online survey among the general population. The first survey (T1) was completed by all 399 participants, and the second survey (T2) was completed by 233 participants 5–6 weeks after the T1 survey with a simple instruction of reducing the DBST index. Participants’ age, sex, marital status, past psychiatric history, and sleep patterns were collected. In addition to the DBST index, the Glasgow Sleep Effort Scale (GSES), Dysfunctional Beliefs about Sleep-2 items (DBS-2), and Insomnia Severity Index (ISI) were rated. @*Results@#The change in the ISI (T1–T2) was significantly correlated with the changes in the GSES (r=0.24, p<0.001), DBS-2 (r=0.22, p<0.001), and DBST index (r=0.15, p=0.020). The change in insomnia severity was expected with change in the GSES (β=0.23, p<0.001), DBS-2 (β=0.20, p=0.002), and DBST index (β=0.13, p=0.037). Mediation analysis showed that change in DBST index directly influenced change in insomnia severity and change in GSES or DBS-2 did not mediate the relationship. @*Conclusion@#Changing the DBST index can be a simple way to reduce insomnia severity among the general population.

Mediating Effect of Public Service Motivation and Resilience on the Association Between Work-Related Stress and Work Engagement of Public Workers in the COVID-19 Pandemic

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.

Mediating Effects of ReassuranceSeeking Behavior or Obsession With COVID-19 on the Association Between Intolerance of Uncertainty and Viral Anxiety Among Healthcare Workers in Korea

Background@#This study explores whether the intolerance of uncertainty among healthcare workers prompts viral anxiety, and whether this association is mediated by their reassuranceseeking behavior and preoccupation with the coronavirus disease 2019 (COVID-19) in Korea. @*Methods@#An online survey was conducted among healthcare workers in Asan Medical Center, on November 29, 2021. Demographic characteristics and responses to items from rating scales were collected, including Stress and Anxiety to Viral Epidemics-9, Coronavirus Reassurance-Seeking Behaviors Scale (CRBS), Obsession with COVID-19 Scale (OCS), Patient Health Questionnaire-9, Insomnia Severity Scale, and Intolerance of Uncertainty-12 (IUS-12). @*Results@#Among the 329 participants, viral anxiety of healthcare workers was predicted by being female (β = 0.14, P = 0.002), CRBS (β = 0.30, P < 0.001), OCS (β = 0.32, P < 0.001), and IUS-12 (β = 0.15, P = 0.002) scores (adjusted R2 = 0.43, F = 31.1, P < 0.001). Mediation analysis showed that the intolerance of uncertainty directly influenced viral anxiety, and reassuranceseeking behavior and obsession with COVID-19 partially mediated the association. @*Conclusion@#The intolerance of uncertainty among healthcare workers directly influenced their viral anxiety, and reassurance-seeking behavior and obsession with COVID-19 mediated this association in this era of “living with coronavirus” in Korea.

Discrepancy Between Desired Time in Bed and Desired Total Sleep Time, Insomnia, Depression, and Dysfunctional Beliefs About Sleep Among the General Population

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.

Resilience and Work-Related Stress May Affect Depressive Symptoms in Nursing Professionals during the COVID-19 Pandemic Era

Objective@#We aimed to investigate the effect of nursing professionals’ resilience on their mental health, work-related stress, and anxiety in response to the COVID-19 pandemic. @*Methods@#We conducted an online survey in the Asan Medical Center and Ulsan University Hospital, South Korea. We extracted data of 824 nursing professionals who consented to participate, including demographic variables and the Stress and Anxiety to Viral Epidemics-9 (SAVE-9), PHQ-9, GAD-7, and Brief Resilience Scale scores. @*Results@#Resilience was negatively correlated with Patient Health Questionnaire-9 (PHQ-9) (rho=-0.23), Generalized Anxiety Scale-7 items (GAD-7) (rho=-0.25), Stress and Anxiety to Viral Epidem-ics-6 items (SAVE-6) (rho=-0.15), and Stress And anxiety to Viral Epidemics-3 items (SAVE-3) (rho=-0.13, all, p<0.001). Logistic regression analysis adjusting age, marital status, and years of employment revealed that high level of general anxiety [adjusted odds ratio (aOR)=1.40, 95% confidence interval (CI)=1.31–1.50], work-related stress during viral epidemics (aOR=1.16, 95% CI=1.03–1.29), and a low level of resilience (aOR=0.91, 95% CI=0.85–0.97) were expecting variables for the depression of healthcare workers. @*Conclusion@#Nursing professionals’ level of resilience may be associated with low level of work-related stress and anxiety induced by a viral epidemic. We need to explore further the possibility of resilience as coping strategy of healthcare workers in this pandemic era.

Resilience and Work-Related Stress May Affect Depressive Symptoms in Nursing Professionals during the COVID-19 Pandemic Era

Objective@#We aimed to investigate the effect of nursing professionals’ resilience on their mental health, work-related stress, and anxiety in response to the COVID-19 pandemic. @*Methods@#We conducted an online survey in the Asan Medical Center and Ulsan University Hospital, South Korea. We extracted data of 824 nursing professionals who consented to participate, including demographic variables and the Stress and Anxiety to Viral Epidemics-9 (SAVE-9), PHQ-9, GAD-7, and Brief Resilience Scale scores. @*Results@#Resilience was negatively correlated with Patient Health Questionnaire-9 (PHQ-9) (rho=-0.23), Generalized Anxiety Scale-7 items (GAD-7) (rho=-0.25), Stress and Anxiety to Viral Epidem-ics-6 items (SAVE-6) (rho=-0.15), and Stress And anxiety to Viral Epidemics-3 items (SAVE-3) (rho=-0.13, all, p<0.001). Logistic regression analysis adjusting age, marital status, and years of employment revealed that high level of general anxiety [adjusted odds ratio (aOR)=1.40, 95% confidence interval (CI)=1.31–1.50], work-related stress during viral epidemics (aOR=1.16, 95% CI=1.03–1.29), and a low level of resilience (aOR=0.91, 95% CI=0.85–0.97) were expecting variables for the depression of healthcare workers. @*Conclusion@#Nursing professionals’ level of resilience may be associated with low level of work-related stress and anxiety induced by a viral epidemic. We need to explore further the possibility of resilience as coping strategy of healthcare workers in this pandemic era.