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The aim of this study was to evaluate the safety and efficacy of digital therapeutic application of Sleep Index-Based Treatment for Insomnia (dSIBT-I) and compare them with those of digital application of Cognitive Behavioural Therapy for Insomnia (dCBT-I). This randomised prospective pilot study was conducted at the Asan Medical Center. A total of 50 patients with insomnia were recruited between December 2022 and January 2023 and randomly allocated to the dSIBT-I or dCBT-I group. The study was carried out for one month. The primary outcome was the significant reduction in Insomnia Severity Index score at Week 4 compared to baseline, while the secondary outcome was proportion of participants whose Insomnia Severity Index scores were reduced to <15 at Week 4. We performed linear mixed model and generalised estimating equation analyses. Both dSIBT-I and dCBT-I groups showed significant improvements in Insomnia Severity Index scores at Week 4. There was no significant difference between two groups in terms of Insomnia Severity Index scores at Week 4 (group × time effect, F = 1.07, p = 0.382) and proportion of participants whose Insomnia Severity Index scores were reduced to <15 at Week 4 (group × time effects, F = 1.80, p = 0.615). However, at Week 2, the dSIBT-I group showed better results than the dCBT-I group in terms of both Insomnia Severity Index scores (p = 0.044) and proportion of participants whose Insomnia Severity Index scores were reduced to <15 (82.6% vs. 48.0%, p = 0.017). No treatment-emergent adverse events were reported in either group. The dSIBT-I is a safe and effective therapy for insomnia, with rapid treatment effects.
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Distúrbios do Início e da Manutenção do Sono , Humanos , Distúrbios do Início e da Manutenção do Sono/terapia , Projetos Piloto , Resultado do Tratamento , Estudos Prospectivos , SonoRESUMO
INTRODUCTION: This study aimed to explore whether the Discrepancy between the desired time in Bed and the desired total Sleep Time (DBST) index influences insomnia severity in the older adult population and examined the potential role of psychological inflexibility in this association. METHODS: An online survey study was conducted for older individuals aged ≥ 65 via a survey company between January and February 2023. A total of 300 responses and data without personally identifiable information were delivered to the researchers. The survey questionnaires include the DBST, Glasgow Sleep Effort Scale (GSES), Insomnia Severity Index (ISI), Dysfunctional Beliefs about Sleep-2 items (DBS-2), and Acceptance and Action Questionnaire-II (AAQ-II). RESULTS: The analysis included 295 older adult participants. The DBST index was significantly correlated with all questionnaires. Linear regression revealed the DBST index was predicted only by the ISI (ß = 0.26, p = 0.003). Mediation analysis showed that the GSES (Z = 2.92, p = 0.003) and DBS-2 (Z = 2.17, p = 0.030) mediated the effect of the DBST index on the ISI, while the AAQ-II did not. Path analysis showed that the DBST could be directly predicted by the ISI (Z = 2.94, p = 0.003), GSES (Z = 2.75, p = 0.006), and DBS2 (Z = 2.71, p = 0.007) but not by the AAQ-II itself. However, the AAQ-II exerted a significant indirect effect on the ISI through the DBS-2 (Z = 2.21, p = 0.027) and GSES (z = 2.24, p = 0.025). CONCLUSIONS: Our study showed that preoccupation and dysfunctional beliefs about sleep may mediate the relationship between the DBST index and insomnia severity in the older adult population. We opine that psychological inflexibility might play a significant role in insomnia severity via preoccupation with and dysfunctional beliefs about sleep.
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BACKGROUND: Here we investigated whether cold chain workers' insomnia, work-related stress, and viral anxiety contributed to their depression. Furthermore, we investigated the role of viral anxiety in mediating the association between work-related stress and depressive symptoms. METHODS: All 200 invited cold chain workers voluntarily responded to an online survey. All were working at a market in Taiyuan, Shanxi Province, China, and responsible for testing nucleic acids in imported cold chain foods and disinfecting outer packaging at government request. We collected their demographic variables and rated their symptoms using the Stress and Anxiety to Viral Epidemics-6 Items (SAVE-6), Patient Health Questionnaire-9, Insomnia Severity Index (ISI), Perceived Stress Scale (PSS), and Maslach Burnout Inventory - General Survey (MBI-GS). RESULTS: Cold chain workers' depression was significantly correlated with higher SAVE-6 (r = 0.450, P < 0.01), ISI (r = 0.603, P < 0.01), MBI-GS (r = 0.481, P < 0.01), and PSS (r = 0.390, P < 0.01) scores. SAVE-6 score was significantly correlated with ISI (r = 0.462, P < 0.01), MBI-GS (r = 0.305, P < 0.01), and PSS (r = 0.268, P < 0.01) scores. Linear regression revealed that their depression was predicted by SAVE-6 (ß = 0.183, P = 0.003), ISI (ß = 0.409, P < 0.001), and MBI-GS (ß = 0.236, P = 0.002, adjusted R² = 0.440, F = 40.04, P < 0.001) scores. Mediation analysis showed that their burnout directly influenced their depression, while viral anxiety or insomnia severity mediated the influence of burnout on depression. CONCLUSION: The study showed that burnout was a direct cause of depression and that viral anxiety and insomnia severity mediated the relationship between burnout and depression.
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Esgotamento Profissional , COVID-19 , Distúrbios do Início e da Manutenção do Sono , Humanos , COVID-19/epidemiologia , Distúrbios do Início e da Manutenção do Sono/epidemiologia , Depressão/epidemiologia , Depressão/etiologia , Pandemias , Refrigeração , Ansiedade/epidemiologia , Ansiedade/etiologia , Inquéritos e QuestionáriosRESUMO
BACKGROUND: This study investigated the relationship between preoccupation with coronavirus disease 2019 (COVID-19), reassurance-seeking behavior, viral anxiety, intolerance of uncertainty, and adherence to physical distancing among frontline nursing professionals working in COVID-19 inpatient wards. Additionally, the study aimed to determine whether the commitment to physical distancing mediates the influence of intolerance of uncertainty on viral anxiety. METHODS: Frontline healthcare professionals working in the COVID-19 inpatient wards at three tertiary-level affiliated hospitals in Korea were surveyed between April 7 and 26, 2022. The survey included scales-such as the Obsession with COVID-19 Scale, Coronavirus Reassurance-Seeking Behaviors Scale, Fear of COVID-19 Scale, and Intolerance of Uncertainty Scale-12 and a questionnaire on adherence to physical distancing. A total of 256 responses were analyzed after excluding inappropriate or incomplete responses. RESULTS: Pearson's correlation analysis found that age was significantly associated with the Obsession with COVID-19 Scale (r = -0.12, P < 0.05) and adherence to physical distancing (r = 0.27, P < 0.01). Linear regression analysis ascertained that age (ß = -0.07, P = 0.002), Coronavirus Reassurance-Seeking Behaviors Scale (ß = 0.35, P < 0.001), and Fear of COVID-19 Scale (ß = 0.24, P < 0.001) were predictors of obsession with COVID-19 (Adjusted R² = 0.60, F = 78.1, P < 0.001). The indirect pathway by mediation analysis showed that reassurance-seeking and viral anxiety mediated the effect of intolerance of uncertainty on the preoccupation with COVID-19. CONCLUSION: During the pandemic, there may be a strong association between reassurance-seeking behavior, viral anxiety, and a heightened preoccupation with COVID-19 among frontline healthcare workers. Thus, from the early stages of infectious disease, a psychological support team for medical staff responding to the disease should be established, and periodic evaluations should be conducted to identify high-risk groups.
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COVID-19 , Humanos , Distanciamento Físico , Incerteza , Ansiedade , Transtornos de AnsiedadeRESUMO
BACKGROUND: Lung cancer is associated with significant psychological distress, including fear of progression (FoP). Because insomnia and depression are highly prevalent and associated with FoP, we examined the association between FoP, insomnia, and depression in cancer patients. Furthermore, we tested the mediation effect of cancer-related dysfunctional beliefs about sleep (C-DBS) on this association. METHODS: We analyzed data collected from patients with surgically resected non-small cell lung cancer from a single-center randomized controlled study investigating digital healthcare applications. Baseline demographic and clinical variables were collected. In addition, self-reported questionnaires including the Fear of Progression Questionnaire-Short Form, Patients Health Questionnaire-9 items (PHQ-9), Insomnia Severity Index, and C-DBS were administered. RESULTS: Among the 320 enrolled patients with lung cancer, a regression model showed that FoP was predicted by age (ß = -0.13, P = 0.007), PHQ-9 (ß = 0.35, P < 0.001), and C-DBS (ß = 0.28, P < 0.001). Insomnia did not directly influence FoP, but C-DBS mediated the association. Depression directly influenced FoP, but C-DBS did not mediate this association. CONCLUSION: Among patients with surgically resected lung cancer, C-DBS mediated the effects of severity of insomnia on FoP. Depression directly influenced FoP, but C-DBS did not influence this association. To reduce FoP among patients with lung cancer, C-DBS should be addressed in the cognitive behavioral therapy module.
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Carcinoma Pulmonar de Células não Pequenas , Neoplasias Pulmonares , Distúrbios do Início e da Manutenção do Sono , Transtornos do Sono-Vigília , Humanos , Distúrbios do Início e da Manutenção do Sono/complicações , Neoplasias Pulmonares/complicações , Neoplasias Pulmonares/cirurgia , Carcinoma Pulmonar de Células não Pequenas/complicações , Carcinoma Pulmonar de Células não Pequenas/cirurgia , Medo/psicologia , Sono , Inquéritos e Questionários , Transtornos do Sono-Vigília/complicaçõesRESUMO
BACKGROUND: This study aimed to explore clinical correlates of fear of progression (FoP) among patients with cancer during the coronavirus disease 2019 (COVID-19) pandemic and examine the mediation effect of cancer-related dysfunctional beliefs about sleep (C-DBS). METHODS: Medical charts of patients with cancer who visited a psycho-oncology clinic between July and November 2021 were reviewed. Baseline socio-demographic and cancer-related variables were collected. Patients' self-report questionnaires, regarding FoP, depression (Patient Health Questionnaire-9 items; PHQ-9), viral anxiety (Stress and Anxiety to Viral Epidemics-6 items; SAVE-6), C-DBS, and other distress, were investigated. Pearson's correlation and linear regression were performed to examine the risk factors of FoP. Mediation effect analysis with the bootstrap method with 2,000 resamples was implemented. RESULTS: A total of 231 patients were included in the analysis. Linear regression revealed that FoP was predicted by age (ß = -0.14, P = 0.003), PHQ-9 (ß = 0.48, P < 0.001), SAVE-6 (ß = 0.34, P < 0.001), and C-DBS (ß = 0.15, P = 0.005). FoP was directly influenced by SAVE-6 and mediated by C-DBS, while it was directly influenced by PHQ-9 with no mediation effect. CONCLUSION: During the COVID-19 pandemic, the FoP of patients with cancer was associated with younger age, depression, viral anxiety, and C-DBS. Depression and viral anxiety directly influenced FoP, while C-DBS mediated the association between viral anxiety and FoP. Therefore, oncology healthcare professionals are recommended to assess C-DBS of their patients when they are highly distressed from FoP.
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COVID-19 , Neoplasias , Progressão da Doença , Medo , Humanos , Pandemias , SonoRESUMO
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 (ß=-0.18, p=0.018), DBST (ß=0.23, p=0.003), PHQ-9 (ß=0.23, p=0.031), and DBAS-16 (ß=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.
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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 (ß=-0.13, p=0.011), PHQ-9 (ß=0.36, p<0.001), STAI-S (ß=0.18, p=0.001), C-DBS (ß=0.22, p<0.001), and DSAS (ß=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.
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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.
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OBJECTIVE: This study explored the psychometric properties of the Chinese version of the Stress and Anxiety to Viral Epidemics-6 Items (SAVE-6) scale for cold chain practitioners exposed to moderate-to-high risk of infection. METHODS: A total of 233 cold chain practitioners participated in an anonymous online survey, conducted from October to November 2021. The questionnaire comprised participant demographic characteristics, the Chinese version of SAVE-6, the Generalized Anxiety Disorders-7 (GAD-7), and the Patient Health Questionnaire-9 (PHQ-9) scales. RESULTS: Based on the results of the parallel analysis, the single-structure model of the Chinese version of SAVE-6 was adopted. The scale showed satisfactory internal consistency (Cronbach's alpha=0.930) and good convergent validity based on Spearman's correlation coefficient with the GAD-7 (rho=0.616, p<0.001) and PHQ-9 (rho=0.540, p<0.001) scale scores. The optimal cutoff score for Chinese Stress and Anxiety to Viral Epidemics-9 Items was identified as ≥12 (area under the curve=0.797, Sensitivity=0.76, Specificity=0.66) for cold chain practitioners. CONCLUSION: The Chinese version of the SAVE-6 scale has good psychometric properties and can be applied as a reliable and valid rating scale to assess the anxiety response of cold chain practitioners in the post-pandemic era.
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Introduction: We aimed to examine the psychometric properties of the Korean version of the questionnaires on adherence to physical distancing and health beliefs about COVID-19 in the general population in South Korea. In addition, we investigated how the various sections interacted with each other and with viral anxiety and depression, and ultimately affected adherence to physical distancing. Methods: An anonymous online survey was conducted among members of the general population in South Korea between 10 and 18 January 2022. We recruited 400 respondents and measured their demographic information, symptoms, and responses to questions about COVID-19. First, we examined the reliability and validity of the questionnaires, which included questions about people's adherence to physical distancing guidelines and COVID-19-related health beliefs. Second, we examined the relationship between physical distancing and viral anxiety or depression, as assessed using the six-item Stress and Anxiety to Viral Epidemics (SAVE-6) scale and the Patient Health Questionnaire-9 (PHQ-9). Results: All 400 participants (204 men, age 41.6 ± 10.8) completed the survey. Confirmatory factor analysis revealed a good model fit for adherence to physical distancing (CFI = 1.000, TLI = 1.019, RMSEA = 0.000, and SRMR = 0.034) and health beliefs about COVID-19 (CFI = 0.993, TLI = 0.991, RMSEA = 0.030, and SRMR = 0.052). It also showed good reliability for Factor I (Cronbach's α = 0.826) and Factor II (α = 0.740). Four categories of the COVID-19 health beliefs questionnaire also showed good reliability for perceived susceptibility (α = 0.870), perceived severity (α = 0.901), perceived benefit (α = 0.935), and barriers to following physical distancing (α = 0.833). Structural equation models showed that the effects of health beliefs and viral anxiety and depression were mediated mostly by personal injunctive norms. Goodness-of-fit measures indicated a good fit. (Chi-square = 24.425, df = 7, p < 0.001; CFI = 0.966; RMSEA = 0.079). Conclusion: The Korean version of the COVID-19 adherence to physical distancing and health beliefs questionnaires showed good reliability and validity in the Korean general population. In addition, the effects of health beliefs, along with viral anxiety and depression, were mainly mediated by personal injunctive norms.
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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.
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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 (ß=0.23, p<0.001), DBS-2 (ß=0.20, p=0.002), and DBST index (ß=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.
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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.
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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.
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Introduction: The study aimed to explore the psychometric properties of the Stress and Anxiety to Viral Epidemics-6 (SAVE-6) scale among patients with cancer who are in serious situations in the current COVID-19 pandemic. Methods: The survey included questions on the participants' demographic information, clinical history of cancer (including cancer type, stage, current treatment or diagnosis of complete remission), and scores on rating scales, including the SAVE-6 scale, Coronavirus Anxiety Scale (CAS), and the Patient Health Questionnaire-9 (PHQ-9). Results: The confirmatory factor analysis (CFA) results determined that the model fits the single factor structure of the SAVE-6 scale among patients with cancer. The multi-group CFA showed that SAVE-6 can measure the anxiety response in a similar way across multiple variables, such as sex, presence of clinical depression, being in a state of complete remission, or currently undergoing cancer treatment. The SAVE-6 scale showed good reliability (Cronbach's alpha = 0.819) and convergent validity with the rating scales, such as CAS [r = 0.348 (95% CI, 0.273-0.419), p < 0.001] and PHQ-9 items score [r = 0.251 (95% CI, 0.172-0.328), p < 0.001]. Conclusions: This study confirms SAVE-6 as a reliable and valid rating scale for measuring the anxiety response of patients with cancer during the current COVID-19 pandemic.
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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.
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OBJECTIVE: We aimed to examined the reliability and validity of Korean version of Social Distancing Phobia scale, and whether intolerance of uncertainty mediates the association of the general population's social distancing phobia with viral anxiety and depression. METHODS: Through this anonymous online survey, we collected responses from 400 individuals in the general Korean population. Participants' demographic information and rating scales scores, including the Social Distancing Phobia scale, Stress and Anxiety to Viral Epidemics-6 items, Patient Health Questionnaire-9, and Intolerance of Uncertainty-12 items. RESULTS: Confirmatory factor analysis showed a good model fit, and the Korean version of Social Distancing Phobia scale showed good internal consistency. Social distancing phobia was significantly correlated with age (r=0.213, p<0.001), viral anxiety (r=0.390, p<0.001), depression (r=0.244, p<0.001), and intolerance of uncertainty (r=0.323, p<0.001). A linear regression analysis showed that age (ß=0.235, p<0.001), viral anxiety (ß=0.281, p<0.001), depression (ß=0.121, p=0.009), and intolerance of uncertainty (ß=0.200, p<0.001; adjusted R2=0.246, F=33.6, p<0.001) predicted social distancing phobia. Mediation analysis revealed that viral anxiety directly influenced social distancing phobia (z=6.48, p<0.001), and intolerance of uncertainty partially mediated this association (z=2.92, p=0.003). CONCLUSION: Social distancing phobia may cause psychological stress but may also increase adherence to physical distancing measures and prevent the spread of viruses.
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Patients with cancer can often experience insomnia or sleep disturbances. This study aimed to explore whether the discrepancy between a patient's desired time in bed and desired total sleep time (DBST index) can be used as a measurement tool for insomnia severity or sleep onset latency [SOL] in patients with cancer. This retrospective medical records review study gathered clinical information and scores from scales and indices such as the Insomnia Severity Index (ISI), Cancer-related Dysfunctional Beliefs about Sleep (C-DBS) scale, Patient Health Questionnaire-9 items (PHQ-9), State subcategory of State and Trait Anxiety Inventory, and the short form of the Fear of Progression Questionnaire. Sleep indices of time variables (bedtime, sleep onset time, and wake-up time), duration variables [SOL, time in bed (TIB), time in bed over 24 hours (TIB/d), and duration from wake-up time to bedtime (WTB)], and DBST index were calculated. ISI scores were predicted by the PHQ-9 (ß = 0.34, P < 0.001), C-DBS scale (ß = 0.17, P = 0.034), and DBST indices (ß = 0.22, P = 0.004). Long SOL value was predicted by early bedtimes (ß = -0.18, P = 0.045), short WTB durations (ß = -0.26, P = 0.004), and high DBST index values (ß = 0.19, P = 0.013). The DBST index was significantly correlated with both insomnia severity and SOL in patients with cancer.
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This study examined the reliability and validity of the Stress and Anxiety to Viral Epidemics-9 (SAVE-9) scale among nursing professionals working in a COVID-19 inpatient ward. An anonymous, online survey was conducted among working frontline nursing professionals between April 7 and 18, 2022. We collected information about the participants' age, sex, years of employment, shift work, and marital status. In addition, the participants were asked whether they had dealt with infected patients recently, and whether they had been quarantined, infected, or vaccinated. SAVE-9, Generalized Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire-9 (PHQ-9) were used to evaluate symptoms. We used the Confirmatory Factor Analysis (CFA) to determine the validity of the two-factor model of the SAVE-9 scale. We also tested reliability and convergent validity using the PHQ-9 and GAD-7 scales. A total of 136 responses was analyzed, and CFA for two-factors model of the SAVE-9 scale showed a good model fit among frontline nursing professionals (CFI = 1.000, TLI = 1.040, RMSEA = 0.000, RSMR = 0.060). Multi-group CFAs revealed that the SAVE-9 scale can measure work-related stress and viral anxiety in the same way across sex, having depression, or having generalized anxiety. The internal consistency was shown to be good, and the SAVE-9 scale was significantly correlated with the GAD-7 (r = 0.328, p < 0.001) and PHQ-9 score (r = 0.361, p < 0.001). The two-factor model of the SAVE-9 is a valid and reliable scale for frontline nursing professionals.