Understanding the Mediating Role of Anxiety and Depression on the Relationship Between Perceived Stress and Sleep Quality Among Health Care Workers in the COVID-19 Response

Association between working conditions during the COVID-19 pandemic and sleep and stress among Colombian healthcare workers

INTRODUCTION

Although COVID-19 is no longer a public health emergency, its mental health effects on healthcare workers persist.

AIM

This study investigated the relationship between working conditions, sleep, and stress among Colombian hospital healthcare personnel during the pandemic.

METHODS

In this cross-sectional study, 79 healthcare workers completed questionnaires on working conditions, stress, and sleep. Sleep duration was measured with Fitbit Armbands. Associations were analyzed using Generalized Linear Models with Gamma and ordinal distributions.

RESULTS

Approximately 79% of participants reported high to very high stress levels (61% "very high," 18% "high"). Sleep complications were minimal, averaging 6.2 hours. Nurses showed significantly higher stress and longer sleep duration than administrative workers. Overtime correlated with less sleep, while workers who had COVID-19 reported lower stress.

CONCLUSION

The study highlights connections between stress, sleep, and working conditions, suggesting targeted health promotion programs could enhance work-life balance.

"Sleep Quality and Depression Level in Nurses in COVID-19 Pandemic"

The COVID-19 spread rapidly all over the world and pandemic process has negatively affected nurses. Sleep disorders and depression are among these negative effects. Managers' awareness of problems experienced by nurses and taking precautions will increase employee and patient satisfaction and provide quality patient care. The study was conducted in descriptive, cross-sectional and correlational design to explain nurses' sleep quality and depression levels and relationship between them during the COVID-19 pandemic with 142 nurses who completed Personel Information Form, Pittsburgh Sleep Quality Index (PSQI) and Beck Depression Index (BDI). Sleep quality of nurses (64.8%) was poor, 33.1% had depression, and high school education, having a chronic illness and PSQI score increased the risk of depression level of nurses. Results highlight COVID-19 pandemic affected nurses' sleep quality and depression levels. All managers should be pioneers in providing psychological support to nurses and preparing and implementing a program for prevention of insomnia and depression.

Stress, Anxiety and Depressive Symptoms, Burnout and Insomnia Among Greek Nurses One Year After the End of the Pandemic: A Moderated Chain Mediation Model

Background/Objectives: Several studies have reported alarming rates of mental health issues and sleep problems among nurses even in the post-pandemic era. The objective was to investigate the prevalence of stress, anxiety and depressive symptoms, burnout and insomnia among nurses in Greece one year after the end of the pandemic and to construct a mediation model evaluating the impact of stress on insomnia, the chain mediating roles of depressive symptoms and burnout, as well as the moderating role of anxiety symptoms in the model. Methods: This cross-sectional study was conducted online in July 2024 and included 380 hospital nurses who completed the Depression Anxiety Stress Scale (DASS-21), the Copenhagen Burnout Inventory (CBI) and the Athens Insomnia Scale (AIS). Results: The prevalence rates of stress, anxiety and depressive symptoms, burnout and insomnia were 33.9% with 95% confidence interval (CI): [0.292, 0.390], 33.3% (95% CI: [0.284, 0.381]), 35% (95% CI: [0.302, 0.400]), 46.8% (95% CI: [0.399, 0.502]) and 56.1% (95% CI: [0.509, 0.611]), respectively. Multiple regression analysis indicated that the Depression subscale of the DASS-21 explained 40.6% of the variance in the AIS, while an additional 7.6% was explained by the CBI and another 1.3% rate by the Stress subscale of the DASS-21. Mediation analysis revealed that stress affected insomnia both directly and indirectly through the chain mediating roles of depressive symptoms and burnout. Anxiety symptoms moderated the chain mediation path by enhancing the negative impact of stress on depressive symptoms. Conclusions: The proposed moderated chain mediation model introduces certain factors influencing insomnia and explains how changes in any one of these factors effectuate changes in the other factors, offering insights for individualized interventions.

Falling Asleep on the Job: The Efficacy of a Short App-Based Mindfulness Intervention to Improve Sleep Quality and Quantity Within the Workforce

Quality sleep is among the most important determinants of psychological and physical well-being. Insufficient sleep quality and quantity directly affect individuals; in turn, they indirectly affect the productivity, viability and safety of workplaces. Sleep issues also represent a global health concern for people and workplaces around the world. In addition to pharmaceutical aids, effective and accessible interventions need to address the underlying problems, as might be achieved by behavioural therapies or structured, cognitive interventions like mindfulness-based programs. The time intensity and relatively high costs of such tactics has limited their widespread adoption though. With a sample of 606 full-time working adults, the current study tests the potential effectiveness of a short, inexpensive, app-based, self-help mindfulness meditation programme for promoting sleep quality and quantity. Using a longitudinal randomised experimental design, the authors compared the utility of a 10-day mindfulness programme with a passive control group, as well as with an active control group that engaged in 10 days of mind-wandering exercises. Sleep benefits emerged immediately after the 10-day intervention but seemingly wore off about three months later. Acknowledging the interactions between sleep, depression and anxiety, we also measured the two latter variables. We also find that the intervention was effective on depression, but not on anxiety. These insights offer implications for both research and practice.

Detecting psychometric and diagnostic performance of the RU_SATED v2.0 multidimensional sleep health scale in community-dwelling adults combining exploratory graph analysis and ROC analysis

OBJECTIVE

The RU_SATED scale is increasingly used across the globe to measure sleep health. However, there is a lack of consensus around its psychometric and diagnostic performance. We conducted an empirical investigation into the psychometrics of the Chinese version of the RU_SATED (RU_SATED-C) scale, with a focus on structural validity and diagnostic performance.

METHODS

1171 adults were enrolled from three communities in Hangzhou, China in July 2022. The dataset was spilt in half, and we ran a bootstrapped exploratory graph analysis (bootEGA) in one half and a confirmatory factor analysis (CFA) in the other half to assess structural validity. Correlations with insomnia, wellness, anxiety, and depression symptoms were examined in order to assess concurrent validity; and Cronbach's α and McDonald's ω were calculated to assess internal consistency. Additionally, a Receiver Operating Characteristic (ROC) analysis established and externally validated the optimal score for identifying insomnia symptoms.

RESULTS

A one-dimensional structure, as identified by bootEGA, was corroborated in the CFA [comparative fit index = 0.934, root mean square error of approximation = 0.088, standardized root mean square residual = 0.051]. A moderate correlation was shown with insomnia symptoms, while weak correlations were observed with wellness, anxiety, and depression symptoms. The RU_SATED-C scale displayed sub-optimal internal consistency where coefficients dropped if any item was removed. A recommended cutoff score of ≤13 was derived for probable insomnia with a satisfactory diagnostic performance.

CONCLUSION

The RU_SATED-C scale displayed a one-dimensional model, along with adequate concurrent validity, internal consistency, and diagnostic performance. Further work necessitates multi-scenario testing and additional validation using objective sleep assessments.

The Role of Chronotypes and Perceived Stress on Sleep Quality in Undergraduates in Taiwan

INTRODUCTION

Chronotypes and perceived stress can predict psychiatric symptoms and affect sleep quality, though the relationships between these factors are not completely described. This study explores the influence of chronotypes and perceived stress on sleep quality among undergraduates.

METHODS

An online survey was administered to a convenience sample of 110 undergraduates aged 18-23 years (mean age 20.32 ± 1.00) at a university in southern Taiwan, predominantly women and senior students. Three self-reporting instruments were used: the Munich Chronotype Questionnaire, the Perceived Stress Scale, and the Pittsburgh Sleep Quality Index. Multivariate regression analysis was performed to investigate the influence of chronotype and perceived stress on sleep quality in undergraduates.

RESULTS

Sixty-one per cent of the respondents were poor-quality sleepers. Moreover, 85.5% of the respondents were classified as "neither" chronotype, whereas 13.6% were "evening" chronotype. Sleep quality was associated with both chronotype and perceived stress level (r = 0.41, 0.43, p < 0.01). Multiple regression revealed higher MCTQ scores (continuous or categorical) and higher perceived stress were significantly associated with poorer sleep quality, explaining approximately 30% of the variance (p < 0.001).

CONCLUSIONS

The findings of this study showed evening-type undergraduates with higher perceived stress exhibited poorer sleep quality. Highlight the importance of considering chronotype in health promotion among individuals transitioning to adulthood. Early interventions may help align an individual's chronotype with their external time schedule, mitigate the negative impacts of misaligned later chronotypes, enhance sleep quality, and help to manage perceived stress levels in undergraduates.

A crosssectional study on healthcare workers sleep and psychological resilience

OBJECTIVES

Healthcare workers, as a high-stress professional group, face long-term high-intensity workloads and complex medical environments, resulting in increasingly prominent mental health issues. In particular, the widespread presence of anxiety symptoms and somatic pain has become a major factor affecting both the quality of care and the career development of healthcare workers. This study aims to investigate the mediating and moderating roles of psychological resilience and sleep in the relationship between somatic pain and anxiety among healthcare workers.

METHODS

A cross-sectional questionnaire survey was conducted among 1 661 healthcare workers. The instruments used included the Generalized Anxiety Disorder-7 (GAD-7), item 3 from the Patient Health Questionnaire-9 (PHQ-9), the 10-item Connor-Davidson Resilience Scale (CD-RISC-10) for psychological resilience, and the Visual Analogue Scale (VAS) for assessing anxiety, sleep disturbance, psychological resilience, and somatic pain.

RESULTS

The detection rate of anxiety symptoms among healthcare workers was 38.95%. Psychological resilience was significantly negatively correlated with anxiety symptoms (r=-0.451, P<0.01), sleep disturbance (r=-0.313, P<0.01), and somatic pain (r=-0.214, P<0.01). Moreover, psychological resilience partially mediated the relationship between somatic pain and anxiety (β=-0.103, P<0.01), and sleep quality moderated the latter part of the mediation model ("somatic pain-psychological resilience-anxiety").

CONCLUSIONS

Under high-intensity workloads, healthcare workers generally experience severe anxiety symptoms. Psychological resilience plays an important protective mediating role in their mental health, and sleep quality serves as a moderator in this relationship. Enhancing healthcare workers' psychological resilience and improving their sleep may promote both their physical and mental well-being.

Achievement motivation and mental health among medical postgraduates: the chain mediating effect of self-esteem and perceived stress

Introduction

Medical postgraduates generally experience high levels of depression and anxiety. Previous studies have investigated the impact of various achievement motivations on depression/anxiety among medical students.

Methods

This study focused on self-esteem and perceived stress, examining the internal mechanisms through which achievement motivation affects depression/anxiety. 530 medical postgraduate students (66.04% female and 33.96% male) were administered the Achievement Goal Orientation Scale, Self-Esteem Scale, Perceived Stress Scale, and Depression-Anxiety-Stress Scale.

Results

Results indicated that: (1) mastery-approach goals were negatively correlated with depression/anxiety; mastery-avoidance goals were positively correlated with depression/anxiety; performance-avoidance goals positively predicted depression/anxiety; (2) self-esteem mediated the relationship between achievement motivation and depression/anxiety; (3) perceived stress played a mediating role in the relationship between achievement motivation and depression/anxiety; (4) self-esteem and perceived stress played a chain mediating role in the relationship between achievement motivation and depression/anxiety; (5) there was no significant linear correlation between mastery-approach goals and depression/anxiety.

Discussion

Although this study employed a cross-sectional design and self-report scales, both of which have certain limitations, the findings still hold significant theoretical and practical implications. The research reveals a mediating pathway between achievement goals and mental health, offering new insights into mental health education for medical graduate students.

Effects of perceived stress on college students' sleep quality: a moderated chain mediation model

BACKGROUND

Perceived Stress has been shown as a key contributor to sleep quality, but the underlying mechanism between perceived stress and sleep quality remains unknown. This study aimed to investigate the impact of perceived stress on sleep quality of college students and the chain mediating roles of presence of meaning in life (PML) and depression, as well as the moderating role of search for meaning in life (SML).

METHODS

Participants were 8178 college students (4599 boys and 3579 girls; Mage = 19.10 years, SD = 1.08) who completed self-report questionnaire, including the Perceived Stress Scale (PSS), the Pittsburgh Sleep Quality Index (PSQI), the Meaning in Life Questionnaire (MLQ), and the Patient Health Questionnaire-9 (PHQ-9).

RESULTS

The results showed that higher perceived stress was directly related to poorer sleep quality. This negative impact on sleep quality was mediated through the chained roles of PML and depression. Additionally, the study found that SML moderates the influence of perceived stress, PML and depression on sleep quality. Specifically, for individuals actively search for meaning, the adverse effects of perceived stress and depression on sleep quality are diminished. Concurrently, the positive influence of PML on sleep quality is enhanced.

CONCLUSION

This study revealed that the PML and depression mediate the effect of perceived stress on sleep quality, with SML playing a significant protective role. These results emphasize the necessity of integrating strategies to enhance PML and SML into interventions designed to improve emotion management and sleep quality among college students.

Assessment of psychometric performance for the Chinese version of the Brief Inventory of Perceived Stress integrating exploratory graph analysis and confirmatory factor analysis

OBJECTIVE

This study was to evaluate measurement properties of the Chinese version of the Brief Inventory of Perceived Stress (BIPS-C) and confirm possible solutions for measuring the constructs underlying perceived stress.

METHODS

A total of 1356 community residents enrolled and were randomly split into two halves. The first half was used to explore the underlying constructs of the BIPS-C by exploratory graph analysis (EGA) and the second half was used to compare and confirm the constructs by confirmatory factor analysis (CFA).

RESULTS

The EGA identified a one-factor model of the BIPS-C with an accuracy of 99.3%. One-factor, three-factor, second-order, and bifactor models were compared by CFAs. The bifactor model with one general and three specific factors was found to be the most adequate [comparative fit index (CFI) = 0.990; Tucker-Lewis index (TLI) = 0.979; root mean square error of approximation (RMSEA) = 0.058] and was superior to the other models. The related bifactor indices showed a stronger existence of the general factor. The bifactor model of the BIPS-C also showed adequate internal consistency with McDonald's omega and omega subscales ranging from moderate to strong (0.677-0.869).

CONCLUSION

The BIPS-C demonstrates sufficient measurement properties for assessing general perceived stress.

Job burnout and anxiety among medical staff: A latent profile and moderated mediation analysis

BACKGROUND

Due to work pressure, work intensity, and the impact of emergencies such as the epidemic, job burnout and mental health problems among medical staff have become increasingly prominent.

OBJECTIVES

Our study aims to characterize the patterns of burnout in Chinese medical staff, explore the profile differences on anxiety and self-esteem, examine whether the differences in these profiles on anxiety were mediated by self-esteem, and investigate whether this mediating process was moderated by positive coping styles among medical staff.

METHODS

Data were collected from 602 medical staff in China by a convenient sampling method. A latent profile and moderated mediation analysis were performed.

RESULTS

Latent profile analysis on three burnout dimensions [emotional exhaustion, cynicism, and professional efficacy] indicated two burnout profiles: low burnout (82.47% of the sample) and high burnout (17.53%). Medical staff with a low burnout profile had lower levels of emotional exhaustion and cynicism than those with a high burnout profile. It was also determined that self-esteem mediates burnout and anxiety in both high- and low-burnout medical staff. The moderating role of positive coping styles was also identified (β = 0.30, 95%CI: 0.058-0.550).

CONCLUSIONS

The identification of two distinct burnout patterns (low burnout and high burnout) provides clinical administrators with clear goals for individualizing support and interventions for medical staff with different levels of burnout. Furthermore, attention should be given to self-esteem and positive coping styles, as they act as potential mediators and moderators of medical staff's mental health problems.

Psychosocial stress, adult suicidal ideation, and the mediating effect of poor sleep quality during the COVID-19 pandemic in South Africa

OBJECTIVES

South Africa instituted one of the world's strictest lockdowns during the COVID-19 pandemic, which generated heightened conditions of psychosocial stress and posed widespread mental health risks. Despite the elevated burdens of suicidal behaviors and risk of psychiatric disease in the country, few studies have examined the impacts of psychosocial stress from the pandemic on suicidal ideation in South Africa. This study examined the association between psychosocial stress experienced under the COVID-19 pandemic and adult suicidal ideation, as well as degree to which sleep quality and duration mediated this relationship.

METHODS

An online survey assessed experiences of COVID-19 psychosocial stress, sleep quality and duration, and suicidal ideation in a sample of 189 South African adults during the second and third waves of the COVID-19 pandemic. A causal inference framework for mediation analysis was used to assess the degree to which sleep quality and duration explained the association between COVID-19 psychosocial stress and suicidal ideation.

RESULTS

Suicidal ideation was reported in 21% of adults. Adults described having moderate sleep quality and an average of 6.9 hours of sleep per night. COVID-19 psychosocial stress significantly predicted adult suicidal ideation in fully adjusted models. Sleep quality, but not sleep duration, significantly mediated the association between COVID-19 psychosocial stress and suicidal ideation, accounting for 25.9% of the total effect.

CONCLUSIONS

Poor sleep quality may play an important role in exacerbating the alarming stress-induced mental health effects of the COVID-19 pandemic. Further research is necessary to understand the underlying sleep dynamics and associated psychological and neurobiological processes that perpetuate adult suicidal ideation.

Assessing psychometric properties and measurement invariance of the Sleep Quality Questionnaire among healthcare students

OBJECTIVE

The sleep of healthcare students is worth discovering. Mental health and self-rated health are thought to be associated with sleep quality. As such, valid instruments to assess sleep quality in healthcare students are crucial and irreplaceable. This study aimed to investigate the measurement properties of the Sleep Quality Questionnaire (SQQ) for Chinese healthcare students.

METHODS

Two longitudinal assessments were undertaken among healthcare students, with a total of 595, between December 2020 and January 2021. Measures include the Chinese version of the SQQ, Patient Health Questionnaire-4 (PHQ-4), Self-Rated Health Questionnaire (SRHQ), and sociodemographic questionnaire. Structural validity through confirmatory factor analysis (CFA) was conducted to examine factor structure of the SQQ. T-tests and ANOVAs were used to examine sociodemographic differences in sleep quality scores. Multi Group CFA and longitudinal CFA were respectively used to assess cross-sectional invariance and longitudinal invariance across two-time interval, i.e., cross-cultural validity. Construct validity, internal consistency, and test-retest reliability were correspondingly examined via Spearman correlation, Cronbach's alpha and McDonald's omega, and intraclass correlation coefficient. Multiple linear regression analysis was performed to examine incremental validity of the SQQ based on the PHQ-4 and SRHQ as indicators of the criterion variables.

RESULTS

CFA results suggested that the two-factor model of the SQQ-9 (item 2 excluded) had the best fit. The SQQ-9 scores differed significantly by age, grade, academic stage, hobby, stress coping strategy, anxiety, depression, and self-rated health subgroups. Measurement invariance was supported in terms of aforesaid subgroups and across two time intervals. In correlation and regression analyses, anxiety, depression, and self-rated health were moderately strong predictors of sleep quality. The SQQ-9 had good internal consistency and test-retest reliability.

CONCLUSION

Good measurement properties suggest that the SQQ is a promising and practical measurement instrument for assessing sleep quality of Chinese healthcare students.

Measurement Properties and Optimal Cutoff Point of the WHO-5 Among Chinese Healthcare Students

Purpose

The World Health Organization-Five Well-Being Index (WHO-5) is widely used to assess subjective well-being. Nevertheless, measurement invariance and optimal cutoff point of the WHO-5 have not been examined in Chinese samples. We aimed to assess measurement properties of the Chinese version of the WHO-5 (WHO-5-C) among healthcare students.

Patients and Methods

A two-wave longitudinal assessment was conducted among 343 Chinese healthcare students from September to November 2022. Measurement properties of the WHO-5-C were assessed through structural validity using confirmatory factor analysis (CFA), measurement invariance using multigroup CFA (MGCFA) and longitudinal CFA (LCFA), convergent validity using correlation analysis with the Self-Rated Health Questionnaire (SRHQ) and Patient Health Questionnaire-4 (PHQ-4), reliability using internal consistency and test-retest reliability, and optimal cutoff point using receiver operating characteristic (ROC) analysis.

Results

The WHO-5-C demonstrated satisfactory structural validity with comparative fit index (CFI) of 0.968 at baseline and 0.980 at follow-up, and adequate measurement invariance in different sociodemographic variables at baseline (gender, age, major, home location, being only child, monthly household income, part-time job, physical exercise, hobby, frequency of visiting home, and stress coping strategy) (CFI changes [ΔCFI] = -0.009-0.003) and over a week (ΔCFI = -0.006-0.000). The WHO-5-C also had good internal consistency (Cronbach's α = 0.907-0.934; McDonald's ω = 0.908-0.935) and test-retest reliability (intraclass correlation coefficient [ICC] = 0.803). Convergent validity was supported by moderate correlations of the WHO-5-C with the SRHQ and PHQ-4. The optimal cutoff point of the WHO-5-C was found to be 50, with an area under the ROC curve of 0.882 at baseline data, with sensitivity of 0.803 and specificity of 0.762 at follow-up.

Conclusion

The WHO-5-C demonstrated adequate measurement properties, especially concerning cross-sectional and longitudinal measurement invariance, with a recommended optimal cutoff point of ≥ 50 for assessing adequate level of psychological well-being in healthcare students.

Burnout, emotional distress and sleep quality among Chinese psychiatric healthcare workers during the COVID-19 pandemic: a follow-up study

Background

Different from the very early stages of the COVID-19 pandemic, burnout and chronic mental health problems among health care workers (HCWs) has become a challenge. Research is lacking on the relationship between burnout, stress, emotional distress and sleep quality.

Methods

The Chinese center has been involved in the Cope-Corona project since the second survey (T2). Named after the project, a total of three cross-sectional surveys were distributed: T2 (February 16-20, 2021), T3 (May 10-14, 2022), and T4 (December 20-24, 2022). Burnout, depression, anxiety, sleep quality, workplace factors and individual resources were measured. Using the T4 data, we conducted structural equation model (SEM) to examine the mediating role of burnout in predicting emotional distress and sleep quality.

Results

96, 124, and 270 HCWs were enrolled at T2, T3, and T4, respectively. In line with the epidemic trends, the level of perceived COVID-19 related risks was significantly higher at T4, while the feeling of health and safety decreased significantly. At T4, the percentages of participants with clinically significant levels of depression and anxiety symptoms were 18.9% (51/270) and 9.3% (25/270), respectively, while 30.4% (82/270) of them reported poor or very poor sleep quality. According to the SEM, individual resources and workplace factors mainly had an indirect effect in predicting depression and anxiety via burnout. However, neither burnout nor stress was a mediator or predictor of sleep quality. Instead, individual resources, positive workplace factors, and younger age had a direct effect in predicting good sleep quality.

Conclusion

Measures designed to enhance workplace factors and individual resources should be implemented to improve psychosomatic wellbeing of HCWs.

Sleep quality and subjective well-being in healthcare students: examining the role of anxiety and depression

Objective

Sleep issues, negative emotions, and health conditions are commonly co-occurring, whereas their associations among healthcare students have yet to be elucidated. This study aimed to examine whether anxiety and depression mediate the relationship between sleep quality and subjective well-being in healthcare students.

Methods

A cross-sectional survey was conducted among Chinese healthcare students (N = 348). A battery of paper-and-pencil questionnaires-the Sleep Quality Questionnaire (SQQ), World Health Organization-Five Well-Being Index (WHO-5), and Patient Health Questionnaire-4 (PHQ-4) were applied. Descriptive analysis with means (standard deviations) and counts (proportions), Spearman correlation analysis between the SQQ, WHO-5, and PHQ-4, and mediation analysis via structural equation models were performed.

Results

Correlation analysis revealed statistically significant associations between sleep quality, anxiety and depression, and well-being among healthcare students. Mediation analysis identified that poor sleep quality produced relatively low levels of self-reported well-being, which were entirely attributable to anxiety and depression.

Conclusion

Sleep quality was associated with subjective well-being, and this interrelationship was fully mediated by anxiety and depression. Interventions aimed at promoting sleep quality of healthcare students may contribute to promoting their well-being by reducing anxiety and depression.

Evaluation of burnout and stress perception levels of Turkish dental laboratory technicians according to affecting factors during the COVID-19 pandemic

BACKGROUND

The coronavirus disease-2019 (COVID-19) pandemic has caused healthcare professionals to face unequal acute workplace stress and burnout. This study aimed to analyze the potential impact of COVID-19 on the burnout and associated emotional stress conditions of Turkish dental technicians.

METHODS

A 20-question demographic scale, Maslach Burnout Inventory (MBI), Sense of Coherence-13 (SoC-13), and Perceived Stress Scale-10 (PSS-10) were used to obtain data. A total of 152 participants answered these surveys directly and reported their stress burnout levels during the COVID-19 pandemic.

RESULTS

Of all participants who agreed to participate in the survey, 39.5% were females and 60.5% were males. Regardless of demographic variables, the MBI-total (37.2 ± 11.71), SoC-13 total (53.81 ± 10.29), and PSS-10 total (21.25 ± 5.5) scores indicated moderate burnout, SoC, and perceived stress levels. According to sub-scores of the MBI; mean emotional exhaustion and depersonalization indicate low-level burnout, and mean personal accomplishment indicates moderate burnout. Long working hours increase burnout. No significant differences were observed according to demographic variables, except for work experience. A positive correlation was found between perceived stress and burnout.

CONCLUSIONS

The findings showed that dental technicians working during the COVID-19 pandemic are influenced by emotional stress due to the outcomes of the pandemic. One reason for this situation might be the long working hours. Working arrangements, under-controlled disease risk factors, and lifestyle changes may improve stress levels.Key MessagesCOVID-19 outbreak exposed psychological returns to the general population, and especially to healthcare workers.Questionnaire method was applied to evaluate the burnout and stress levels among dental laboratory technicians during COVID-19 outbreak.Moderate levels of burnout and stress perception were detected. Long working time was one of the effective factors.

"Life will never be the same": a qualitative analysis of the impact of COVID-19 on adults with a history of insomnia

Study Objectives

To utilize qualitative data analysis to enrich our understanding of the impact of coronavirus (COVID-19) on those with a pre-pandemic history of insomnia.

Methods

The sample included 208 participants who completed the Coronavirus Impact Scale in April and May 2020. A content analysis was used to analyze responses to a free-response item "Please tell us about any other ways the coronavirus has impacted your life" (n = 175), using a combination of inductive and deductive coding.

Results

Both negative and positive themes emerged, including altered access to health care, negative financial impacts, and various emotions surrounding COVID-19. Some shared "silver linings" such as having more time for physical activity and deepening familial connections.

Conclusions

This analysis provides novel insight into the shared concerns and lived experiences of those with a history of insomnia. Understanding these unique stressors can enable healthcare professionals to better anticipate the needs of this population, as well as learn to navigate future stressful events.

Effects of the COVID-19 pandemic on mental health and sleep quality in the Chinese general populations during sporadic and outbreak periods

The different coronavirus disease 2019 (COVID-19) outbreak patterns may have different impact on the mental health, but there is no such report at present. This study was aimed to investigate general populations mental health and sleep quality during the sporadic and outbreak of COVID-19 in Tianjin of China. Two cross-sectional studies included 1090 participants during the COVID-19 sporadic period from 28th January to 28th February 2022 and 2036 participants during the COVID-19 outbreak period from 1st January to 1st February 2023. We used the propensity score matching method to match the 2 samples (sporadic and outbreak group) with a ratio of 1:1. Finally, 1087 participants were included in each group. The demographics, Patient Health Questionnaire-9, Generalized Anxiety Disorder Scale-7, Connor-Davidson Resilience Scale, and Pittsburgh Sleep Quality Index were collected from all participants. There was a significant difference between the sporadic and outbreak groups for COVID-19-infected status, anxiety levels, sleep quality, and phycological resilience (all P < .05). Logistic regression analysis showed that female (P < .05) and depression status (P < .05) were the risk factors for the incidence rate of anxiety and poor sleep quality in sporadic group, and outbreak group, while phycological resilience were robust related to the sleep quality (P < .01). Poor sleep quality (P < .01) was related to the incidence of anxiety in sporadic group but not the outbreak group; anxiety levels (P < .01) were related to sleep quality in sporadic group but not the outbreak group. During the COVID-19 pandemic, general populations experienced high anxiety and poor sleep quality incidence rates, especially in the outbreak period. Different risk models for anxiety and sleep quality were found in the different outbreak patterns.

Assessment of burnout level among clinical dental students during the COVID-19 pandemic

BACKGROUND

The Coronavirus Disease (COVID-19) outbreak has caused especially health workers to face mental and physical problems all over the world. The aim of this study is to evaluate burnout, stress perception and perceived social support levels of clinical (the fourth and fifth year) dental students during the COVID-19 pandemic.

METHODS

The Sociodemographic Information Form (SIF), Maslach Burnout Inventory (MBI), Sense of Coherence-13 (SoC-13), Perceived Stress Scale-10 (PSS-10), and Multidimensional Scale of Perceived Social Support (MSPSS) were used for data. Questionnaires were answered directly or online by the participants.

RESULTS

A total of 211 participants, 67.8% were female, 32.2% were male. Of these, 96.2% were aged 20-24 years, 84.4% were nuclear family, 11.8% were extended family, and 3.8% were blended family, and 91.5% were willingly for dentistry choice. Based on the results; the total burnout score indicated moderate burnout (41.99 ± 9.94), the SoC-13 scale indicated a strong sense of coherence (55.24 ± 7.21), the PSS-10 score (22.44 ± 3.44) indicated moderate perceived stress and the MSPSS score (65.92 ± 13.22) indicated high perceived social support. A positive correlation was found between perceived stress and burnout. Based on the personal accomplishment subscale; females, those living in extended family, and those who unwillingly choose dentistry among the clinical dental students had higher intense burnout (p < 0.05).

CONCLUSIONS

The findings demonstrated that clinical dental students were affected by the emotional stress caused by the COVID-19 pandemic conditions. In the education of dentistry faculties, it would be appropriate to carry out comprehensive studies on adaptation to the changing living conditions with the COVID-19 pandemic and taking the necessary measures for the psychological distress caused by the difficulties experienced.

Validation of the Chinese version of the Perceived Stress Scale-10 integrating exploratory graph analysis and confirmatory factor analysis

OBJECTIVE

The study aimed to initially assess the measurement properties of the 10-item simplified Chinese version of the Perceived Stress Scale (PSS-C-10) and as a first, assess a longitudinal measurement invariance (LMI).

METHODS

A longitudinal survey was conducted with a convenient sample of healthcare students using the PSS-C-10. We assessed the PSS-C-10 mainly using composite analytical approaches, including exploratory graph analysis (EGA) and confirmatory factor analysis (CFA) to suggest the best-fit factor structure and assess measurement invariance.

RESULTS

The EGA identified a two-factor structural solution with an accuracy of 98.6% at baseline and 100% at a 7-day follow-up. The CFA subsequently confirmed this structure, with a comparative fit index of 0.963 at baseline and 0.987 at follow-up, Tucker-Lewis index of 0.951 at baseline and 0.982 at follow-up, and root mean square error of approximation of 0.111 at baseline and 0.089 at follow-up. The LMI was supported by the goodness-of-fit indices, and their changes fell within the recommended cut-off range. Additionally, Cronbach's alpha (0.885 at baseline and 0.904 at follow-up), McDonald's omega (0.885 at baseline and 0.902 at follow-up), and an ICC value of 0.816 for 7 days demonstrated the robust reliability of the PSS-C-10.

CONCLUSION

The PSS-C-10 exhibited a stable two-factor structure with promising LMI and measurement properties.

The Relationship Between Stress and Sleep Sufficiency in the Context of Varied Workplace Social Support

OBJECTIVE

Sufficient sleep is essential for well-being. We examined the relationship between work-related social support, work stress, and sleep sufficiency, predicting that workers with higher social support would report higher sleep sufficiency across varying levels of work stress.

METHODS

The data set analyzed in the present study included 2213 workers from approximately 200 small (<500 employees) businesses in high, medium, and low hazard industries across Colorado.

RESULTS

Perceived social support variables moderated the relationship between work stress and sleep sufficiency such that employees reporting higher levels of social support reported higher sleep sufficiency when work stress was low or moderate but not high.

CONCLUSIONS

Although preventing work stress is optimal, in cases where employers cannot apply primary interventions to prevent stress (eg, eliminating/reducing night shifts), employers should attempt to increase social support or other more relevant resources for employees.

Depression in healthcare workers during COVID-19 pandemic: results from Czech arm of HEROES Study

The pandemic due to COVID-19 brought new risks for depression of health care workers, which may have differently influenced men and women. We aimed to investigate (1) whether health care workers in Czechia experienced an increase in depression during the COVID-19 pandemic, (2) which factors contributed the most to this change, and (3) whether the magnitude of the associations differed by gender. We studied 2564 participants of the Czech arm of the international COVID-19 HEalth caRe wOrkErS (HEROES) Study. Online questionnaire was administered to health care workers in summer 2020 (wave 0) and spring 2021 (wave 1). Depression was defined by reaching 10 or more points on the Patient Health Questionnaire. Logistic regression investigated the association of participant´s characteristics with depression and multivariable decomposition for non-linear models assessed, to what extent the characteristic explained the change in depression occurrence. The prevalence of depression increased twice during the pandemic (11% in wave 0 and 22% in wave 1). Stress accounted for 50% of the difference, experience of death due to COVID-19 for 15% and contact with COVID-19 patients for 14%. Greater resilience and sufficient personal protective equipment were strongly associated with lower occurrence of depression. The protective association of resilience with depression was stronger in men than in women. We conclude that interventions to promote mental health of health care workers in future health crisis should aim at decreasing stress and enhancing resilience. They should be delivered especially to individuals who have contact with the affected patients and may face their death.

The RU_SATED as a measure of sleep health: cross-cultural adaptation and validation in Chinese healthcare students

BACKGROUND

The RU_SATED scale is a multidimensional instrument measuring sleep health, consisting of Regularity, Satisfaction, Alertness, Timing, Efficiency, Duration dimensions. We adapted and validated the Chinese RU_SATED (RU_SATED-C) scale.

METHODS

The RU_SATED-C scale was developed through a formal linguistic validation process and was validated in an observational longitudinal survey design. Healthcare students completed the RU_SATED scale, Sleep Quality Questionnaire, and Patient Health Questionnaire-4 among two sites of Hangzhou and Ningbo, China. Psychometric assessments included structural validity, longitudinal measurement invariance, convergent and divergent validity, internal consistency, and test-retest reliability.

RESULTS

A total of 911 healthcare students completed the RU_SATED-C scale at baseline (Time 1, T1) and follow-up (Time 2, T2) with an average time interval of 7 days + 5.37 h. Confirmatory factor analysis (CFA) confirmed a single-factor model and resulted in an acceptable model fit. The two-factor model previously found in the Japanese version fit better than the one-factor model, whereas the one-factor model fit had a better fit than the two-factor model found in the English version. Longitudinal CFA resulted in negligible changes in fit indices for four forms of increasingly restrictive models and supported that a single-factor model was equivalent over time. The data also endorsed longitudinal measurement invariance among the two-factor models found in the English and Japanese samples. The RU_SATED-C scale total score displayed a moderately strong negative correlation with sleep quality; however, negligible associations were observed with anxiety and depression. Ordinal Cronbach's alpha and Ordinal McDonald's omega at T1 and T2 ranged from suboptimal to acceptable. The RU_SATED-C scale and all items were significantly correlated across time intervals.

CONCLUSION

The RU_SATED-C scale is an easy-to-use instrument with potentially valid data for the measurement of multidimensional sleep health. Use of the RU_SATED-C scale can help raise awareness of sleep health and could pave the way for important efforts to promote healthy sleep.

The mediating role of attention deficit in relationship between insomnia and social cognition tasks among nurses in Saudi Arabia: A cross-sectional study

Purpose

Insomnia-related affective functional disorder may negatively affect social cognition such as empathy, altruism, and attitude toward providing care. No previous studies have ever investigated the mediating role of attention deficit in the relationship between insomnia and social cognition.

Methods

A cross-sectional survey was carried out among 664 nurses (Mage = 33.03 years; SD ± 6.93 years) from December 2020 to September 2021. They completed the Scale of Attitude towards the Patient (SAtP), the Athens Insomnia Scale (AIS), a single-item numeric rating scale assessing the increasing severity of attention complaints, and questions relating to socio-demographic information. The analysis was carried out by examining the mediating role of attention deficit in the relationship between insomnia and social cognition.

Results

The prevalence of insomnia symptoms was high (52% insomnia using the AIS). Insomnia was significantly correlated with attention problems (b = 0.18, standard error (SE) = 0.02, p < 0.001). Attention problems were significantly negatively correlated with nurses' attitudes towards patients (b = -0.56, SE = 0.08, p < 0.001), respect for autonomy (b = -0.18, SE = 0.03, p < 0.001), holism (b = -0.14, SE = 0.03, p < 0.001), empathy (b = -0.15, SE = 0.03, p < 0.001), and altruism (b = -0.10, SE = 0.02, p < 0.001). Attention problems indirectly mediated the effect of insomnia on attitudes toward patients (99% CI = -0.10 [-0.16 to -0.05]), respect for autonomy (99% CI = -0.03 [-0.05 to -0.02]), holism (99% CI = -0.02 [-0.04 to -0.01]) empathy (99% CI = -0.03 [-0.04 to -0.01]), and altruism (99% CI = -0.02 [-0.03 to -0.01]).

Conclusion

Nurses with insomnia-related attention problems are likely to have poor explicit social cognition such as attitude toward patients, altruism, empathy, respect for autonomy, and holism.

Educational degree differences in the association between work stress and depression among Chinese healthcare workers: Job satisfaction and sleep quality as the mediators

Background

Depressive status of medical personnel worldwide and especially in China is an important public health and social problem. There is a strong relationship between education and depression, but no studies have studied grouping healthcare workers (HCWs) with different educational degree to discuss whether there are differences in the factors that affect depression. This study aims to examine the role of job satisfaction and sleep quality in the relationship between work stress and depression among Chinese HCWs, and teste whether the mediation models are differed by the differences of educational degree.

Methods

Patient Health Questionnaire-9 (PHQ-9) scale was used to test depression. Work stress was assessed using the Challenge-blocking stress scale (CBSS). Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). HCWs’ satisfaction with their current work was assessed using the Job Satisfaction Index (JSI). The representative sample of HCWs was chosen using a multi-stage stratified cluster random sampling procedure and 844 HCWs were utilized to the statistical analysis of the study.

Results

In the overall sample, sleep quality could mediate the relationship between work stress and depression in healthcare workers (p &lt; 0.001, CMIN/DF = 3.816, GFI = 0.911, AGFI = 0.886, IFI = 0.943, TLI = 0.933, CFI = 0.942, RMSEA = 0.058, SRMR = 0.055, AIC = 1039.144), and the mediating effect accounted for 36.5%. After grouping educational qualifications, the model with sleep quality and job satisfaction as mediating variables reported a better fit in the group with low educational qualifications. The intermediary effect accounted for 50.6 and 4.43%, respectively. The highly educated group only has sleep quality as an intermediary variable in the structural model, and the mediating effect accounted for 75.4% (p &lt; 0.001, CMIN/DF = 2.596, GFI = 0.887, AGFI = 0.857, IFI = 0.937, TLI = 0.926, CFI = 0.937, RMSEA = 0.044, SRMR = 0.056, AIC = 1481.322).

Conclusion

In the overall sample, sleep quality could mediate the relationship between work stress and depression in HCWs. Among HCWs with technical secondary school education and below, job satisfaction can mediate the positive relationship between work stress and depression, while this mediating effect is not significant among HCWs with college degree and above.

Adaptation and validation of the Chinese version of the Sleep Quality Questionnaire

STUDY OBJECTIVES

Sleep quality is essential to health. The current study aimed to adapt and validate the Sleep Quality Questionnaire (SQQ) into Chinese language.

METHODS

The Chinese version of the SQQ (SQQ-C) was created following the guidelines for cross-cultural adaptation. Compliant with the COSMIN methodology, baseline data (N = 13,325) examined three validity domains and internal consistency, including content validity using the content validity index (CVI) and the cognitive debriefing and focus group (relevance, comprehensiveness and comprehensibility), construct validity using structural validity and cross‑sectional measurement invariance, and criterion validity using concurrent/convergent validity. Follow-up data (N = 3410) gathered within a mean of 168 (167-207) h interval were used to additionally assess longitudinal measurement invariance and test-retest reliability using intraclass correlation coefficient (ICC).

RESULTS

Scale-level CVI/Average was equal to 0.922; Item-level CVIs ranged from 0.889 to 1.000 (excellent), except for item 2 (0.556-fair). A panel of local experts and local participants during cognitive debriefing and focus group stated that it had sufficient relevance and comprehensibility but a slight deficiency in comprehensiveness. Confirmatory factor analysis indicated a stable two-factor structure encompassing Daytime Sleepiness Subscale and Sleep Difficulty Subscale from baseline to follow-up data. The SQQ-C-9 (without item 2) outperformed the SQQ-C-10 (full form). The SQQ-C-9 provided evidence of measurement invariance (strict) across subgroups (cohorts, gender, and age) and across time. The SQQ-C was negatively correlated with the Chinese Nonrestorative Sleep Scale and the Chinese Sleep Condition Indicator. Cronbach's alpha (α), McDonald's Omega (ω), and ICC, respectively, ranged from 0.712 to 0.838, 0.723 to 0.840, and 0.738 to 0.764 for total scale and each subscale.

CONCLUSION

The SQQ-C exhibits adequate psychometric properties and a stable two-factor structure, and should enable valuable assessments of sleep quality in clinical and research settings.

Academic Stress and Sleep Quality among Chinese Adolescents: Chain Mediating Effects of Anxiety and School Burnout

Previous studies have investigated the associations between academic stress and adolescents' psycho-social development. However, the direct and indirect affecting mechanism of academic stress on sleep quality among Chinese adolescents have rarely been investigated. Using a self-report questionnaire data of 1232 adolescents in Jiangsu province, the purpose of the study is to investigate the relationships among academic stress, anxiety, school burnout, and sleep quality. Structural equation modeling (SEM) with Amos 25.0 was used to test the model fit in the present study. The results revealed that academic stress tends to have significantly direct effects on adolescents' sleep quality. Moreover, anxiety and school burnout could mediate the associations between academic stress and sleep quality absolutely and sequentially. This study reveals the mechanism of the effect of academic stress on adolescents' sleep quality and also develops the chain mediating model of anxiety and school burnout. In addition, the present study may shed light on social policy and social work intervention toward adolescents' sleep quality.

Depression and Anxiety Mediate the Association between Sleep Quality and Self-Rated Health in Healthcare Students

OBJECTIVES

This study aimed to investigate factors associated with sleep quality in healthcare students and to determine whether depressive and anxiety symptoms may explain some of the associations between sleep quality and self-rated health.

STUDY DESIGN

This is a cross-sectional study at wave one.

METHODS

A total of 637 healthcare students were recruited via a stratified random sampling method in Hangzhou, China. The Sleep Quality Questionnaire (SQQ) and the four-item Patient Health Questionnaire (PHQ-4) were used to assess sleep quality and depressive and anxiety symptoms, respectively. Self-rated health was assessed via a self-developed questionnaire of both physical and psychological health. Structural equation modeling was used to examine the direct and indirect effects of sleep quality on self-rated health through depressive and anxiety symptoms.

RESULTS

Students engaged in part-time employment (p = 0.022), with poor perceived employment prospects (p = 0.009), and who did not participate in recreational sports (p = 0.008) had worse sleep quality. Structural equation modeling revealed a significant total effect of sleep quality on self-rated health (b = 0.592, p < 0.001), a significant direct effect of both sleep quality and depressive and anxiety symptoms on self-rated health (b = 0.277, 95% CI: 0.032-0.522), and a significant indirect effect of sleep quality on self-rated health through depressive and anxiety symptoms (b = 0.315, 95% CI: 0.174-0.457).

CONCLUSIONS

Depressive and anxiety symptoms partially explain the association between sleep quality and self-rated health. Intervening upon sleep quality, depressive, and anxiety symptoms may bolster the self-rated health of healthcare students.

The Chinese Version of the Perceived Stress Questionnaire-13: Psychometric Properties and Measurement Invariance for Medical Students

Purpose

Stress may relate to an increased risk of psychological and physical disorders. Thus, a brief and efficient measurement instrument for researchers to measure stress is essentially needed.

Participants and Methods

To assess measurement properties of the validated Chinese version of the Perceived Stress Questionnaire-13 (PSQ-C-13), we conducted a two-wave longitudinal study from September to December, 2021 with a convenient sample of medical students.

Results

A two-factor (constraint and imbalance) structure showed good fit indices (Comparative Fit Index [CFI] = 0.972, Tucker-Lewis Index [TLI] = 0.966, Root Mean Square Error of Approximation [RMSEA] = 0.062). Spearman correlations with the Chinese Perceived Stress Scale-10 illustrated that convergent validity of the PSQ-C-13 was relatively satisfactory (r = 0.678 [baseline], 0.753 [follow-up]). Measurement invariance was supported across subgroups (gender, age, home location, single-child status, monthly households' income, and part-time status) and time points. Internal consistency was sound (Cronbach's α = 0.908 [baseline], 0.922 [follow-up]; McDonald's ω = 0.909 [baseline], 0.923 [follow-up]). Stability between time points was good (Intraclass Correlation Coefficient = 0.834).

Conclusion

The two factors of the PSQ-C-13 including constraint and imbalance may adequately measure the level of stress on participants. The PSQ-C-13 is a convenient and efficient instrument that contains valid and reliable psychometric properties.

Factors Affecting Health-Related Quality of Life among Healthcare Workers during COVID-19: A Cross-Sectional Study

Background and Objectives: Healthcare workers are threatened by psychological well-being and mental health problems in disasters related to new infectious diseases, such as COVID-19, and this can also have a negative impact on health-related quality of life. Health-related quality of life of healthcare workers should not be neglected because it is closely related to patient safety. This study aimed to identify the relationship between mental health problems, psychological safety, sleep quality, and health-related quality of life of healthcare workers and factors that influence health-related quality of life during the COVID-19 pandemic. Materials and Methods: Data were collected from 301 healthcare workers working in five general hospitals with more than 300 beds in two provinces from 5 July 2021 to 16 July 2021. Data were analyzed using SPSS WIN 27.0. The data were analyzed using t-test, one-way analysis of variance, and stepwise multiple regression. Results: Our results showed that there was a significant difference in regular exercise, religion, economic status, and sleep quality. The DASS-21 stress, economic status, and alcohol consumption were factors affecting the total health-related quality of life. In the subcategories, the physical component score was influenced by DASS-21 stress and economic status, while the mental component score was influenced by DASS-21 depression, economic status, alcohol consumption, and sleep quality. Conclusions: Health care workers need continuous and active monitoring of their health level and quality of life, as they are at a risk of increasing work burden and infection due to prolonged exposure to COVID-19 as well as mental health issues such as stress and depression. Additionally, at the individual level, active participation in various programs that can raise awareness of health-related quality of life along with physical health promotion activities should be encouraged. At the organizational level, it is necessary to prepare a compensation system, such as adjusting the workload of healthcare workers and ensuring break time; at the government level, disaster-related policies are needed to ensure a safe working environment for health care workers.

Perceived stress and associated factors among university students in Ethiopia during the late stage of the COVID-19 pandemic: A cross-sectional study

Background

During extensive outbreaks of infectious diseases, people who are impacted, particularly the subgroups of the community who are at an increased risk of mental health problems, may experience increased stress and mental health difficulties. University students are one such susceptible population and are prone to experiencing high levels of stress as compared with the general population. Therefore, this study aimed at assessing perceived stress and identifying its associated factors among university students in Ethiopia during the late stage of the COVID-19 pandemic.

Methods

A cross-sectional study was conducted among university students in Ethiopia from 30 May to 30 June 2021. Students were asked to fill out an online survey on Google Forms that included consent, sociodemographic information, the UCLA-8 Loneliness Scale, the standard validated stress scale (PSS-10) questionnaire, and the three-item Oslo Social Support Scale (OSSS-3) to assess social support. The collected data were exported to SPSS 26. Descriptive and analytical statistics were carried out. Binary and multiple logistic regression analyses were performed to find associated factors, and variables with a p-value of 0.05 were considered statistically significant variables.

Results

A total of 426 university students were included in the survey, among whom 268 (62.9%) were male participants. The age of the participants ranged from 18 to 37 years. Health-related departments accounted for 37.1% of the participants, while non-health-related departments accounted for 62.9%. The prevalence of stress was 18.3% in the study population. In this study, extreme susceptibility to COVID-19, sleeping problems, poor self-efficacy to prevent COVID-19, and loneliness were significantly associated with perceived stress.

Conclusion

Stress was prevalent among university students in Ethiopia during the late stage of the COVID-19 pandemic. Extreme susceptibility to COVID-19, sleeping problems, poor self-efficacy, and loneliness were identified as factors for stress. Therefore, we suggest that universities should provide opportunities for safe social connection, counseling, and guidance for students.

Relationship between perceived stress and depression in Chinese front-line medical staff during COVID-19: A conditional process model

BACKGROUND

Sustained stress during COVID-19 may be associated with depression in front-line medical staff, which would expose them to severe threats. This study aimed to examine whether the relationship between perceived stress and depression is mediated by insomnia, and whether this mediation is moderated by resilience.

METHODS

For front-line medical staff, this study used online questionnaire to evaluate their perceived stress, depression, insomnia and resilience. A conditional process model was performed to examine the relationship between perceived stress and depression, as well as the mediating effect of insomnia and the moderating effect of resilience.

RESULTS

A total of 606 front-line medical staff completed the survey. Higher level of perceived stress was significantly positively related to severe insomnia and depression. In addition, insomnia was positively related to depression, while resilience could moderate the effect of perceived stress on depression by direct and indirect paths.

LIMITATIONS

The causality among perceived stress, depression, insomnia and resilience is difficult to be verified.

CONCLUSIONS

Perceived stress is positively related to depression, and insomnia can mediate the effect of perceived stress on depression. In addition, the effect of perceived stress on depression, whether direct or indirect, is moderated by resilience, which is a protective factor for mental health.

COVID-19 epidemic effects on sleep quality among health sector workers: A follow up study

Health care workers (HCWs) were vulnerable to sleep disturbances in normal circumstances. Poor sleep quality (PSQ) is common during the coronavirus disease 2019 (COVID-19) epidemic. The aim of this study is evaluation of sleep quality among healthcare workers during COVID-19 epidemic in a cohort study. In a follow-up study, we assessed sleep quality in 453 Iranian HCW participants in late-April 2021, after approximately 8 weeks of the epidemic of COVID-19. In order to compare the sleep quality in the two time intervals, during and before COVID-19, we used the recorded data of the same group of participants who were enrolled in a study named SHAHWAR (SHAhroud Health care Workers Associated Research) cohort that is focused on the health of HCWs who work at the Shahroud university of medical sciences. Data collection process in the SHAHWAR study started on October 2, 2019 and continued until February 19, 2020. Our results showed sleep quality worsened among shift-workers during COVID-19 outbreak; however, it was improved among non-shift staff. Sleep quality was more likely to be worsening if HCWs had shift-working roles [OR: 1.84(1.11-3.06), and if they experienced death in their families [OR: 5.06(1.60-12.80)]; however, having a paramedical role was a protective effect [OR: 0.52(0.27-092)], for poor quality sleep. Sleep quality worsened during the epidemic among HCWs. A greater impact, in terms of higher PSQI index, in this group of workers was seen in shift working staff.

Perceived severity of COVID-19, social support, and pandemic-related stress associated with lifestyle changes among undergraduate students in Indonesia

Introduction:

COVID-19 affects lifestyles, including those of undergraduate students who are one of the most vulnerable populations. This study aimed to describe changes in lifestyle-related behaviors and assess the correlation between the perceived risk of COVID-19, social support, perceived stress, and lifestyle changes among undergraduate students during the pandemic.

Design and methods:

A total of 547 students from 32 provinces in Indonesia completed online questionnaires comprising four measures: perceived risk of COVID-19, the Lifestyle-related Behavior Questionnaire, the Multidimensional Scale of Perceived Social Support, and the Pandemic-related Perceived Stress Scale.

Results:

Undergraduate students who lived with their families had healthier lifestyles than students who lived alone ( p = 0.007). Furthermore, The Pearson’s correlation showed a significant correlation between lifestyle changes with perceived severity ( r = 0.107; p < 0.05), social support ( r = 0.237; p < 0.001and pandemic-related stress ( r = −0.304, p < 0.001). Higher perceived severity of COVID-19 and social support were associated with a healthier lifestyle, whereas increased stress correlated with a less healthy lifestyle.

Conclusion:

Psychological factors correlated with lifestyle changes of Indonesian undergraduate students during the pandemic. Therefore, psychological aspects should be more considered by relatives and institutions to ensure healthier lifestyles of students.

A mental health survey among young front-line clinicians in high-risk areas during the COVID-19 sporadic epidemic in China

BACKGROUND

The sporadic coronavirus disease (COVID-19) epidemic has placed enormous psychological stress on people, especially clinicians. The objective of this study was to examine depression, anxiety, quality of life (QOL), and related social psychological factors among young front-line clinicians in high-risk areas during the COVID-19 sporadic epidemic in China and to provide a reference for formulating reasonable countermeasures.

METHODS

In this cross-sectional study, demographic information, COVID-19-related questions, anxiety (Generalized Anxiety Disorder-7, GAD-7), depression (Patient Health Questionnaire-9, PHQ-9), insomnia (Insomnia Severity Index, ISI), stress (Perceived Stress Scale-10, PSS-10), and QOL (World Health Organization Quality of Life-brief version, WHOQOL-BREF) were collected. Binary logistic regression analysis was used to test the relationships between anxiety and/or depression and other related problems. Multiple linear regression analysis was used to test the relationships among factors influencing QOL.

RESULTS

A total of 146 young front-line clinicians were included. The prevalence rates of depression, anxiety, and anxiety-depression comorbidity were 37.7% (95% CI = 29.7-45.6%), 26.0% (95% CI = 18.8-33.2%), and 24.0% (95% CI = 17.0-31.0%), respectively. Severe stress (OR = 1.258, 95% CI = 1.098-1.442, P < 0.01) and insomnia (OR = 1.282, 95% CI = 1.135-1.447, P < 0.01) were positively correlated with depression. Severe stress (OR = 1.487, 95% CI = 1.213-1.823, P < 0.01) and insomnia (OR = 1.131, 95% CI = 1.003-1.274, P < 0.05) were positively correlated with anxiety. Severe stress (OR = 1.532, 95% CI = 1.228-1.912, P < 0.01) was positively correlated with anxiety-depression comorbidity. However, insomnia (OR = 1.081, 95% CI = 0.963-1.214, P > 0.05) was not correlated with anxiety-depression comorbidity. The belief that the vaccine will stop the COVID-19 pandemic (OR = 0.099, 95% CI = 0.014-0.715, P < 0.05) was negatively correlated with anxiety and anxiety-depression comorbidity (OR = 0.101, 95% CI = 0.014-0.744, P < 0.05). Severe stress (B = -0.068, 95% CI = -0.129 to -0.007, P < 0.05) and insomnia (B = -0.127, 95% CI = -0.188 to -0.067, P < 0.01) were negatively correlated with QOL. The belief that the vaccine could provide protection (B = 1.442, 95% CI = 0.253-2.631, P < 0.05) was positively correlated with QOL.

CONCLUSIONS

The prevalence of depression, anxiety, and even anxiety-depression comorbidity was high among young front-line clinicians in high-risk areas during the COVID-19 sporadic epidemic in China. Various biological and psychological factors as well as COVID-19-related factors were associated with mental health issues and QOL. Psychological intervention should evaluate these related factors and formulate measures for these high-risk groups.