Anxiety, depression, and insomnia among nurses during the full liberalization of COVID-19: a multicenter cross-sectional analysis of the high-income region in China

Trends and factors influencing the mental health of college students in the post-pandemic: four consecutive cross-sectional surveys

Background

The long-term impact of COVID-19 on the mental health and well-being of college students, specifically trends over time after full removal of COVID-19 restrictions, has not been well-studied.

Methods

Four consecutive cross-sectional surveys were conducted in December 2022 (N = 689), March 2023 (N = 456), June 2023 (N = 300), and November 2023 (N = 601) at a university in Sichuan Province, China.

Results

The proportion of students with COVID-19 panic decreased from 95.1 to 77.3% (p < 0.001). The prevalence of moderate anxiety and above decreased from 18 to 13.6% (p < 0.001), and the prevalence of moderate and above depression decreased from 33.1 to 28.1% (p < 0.001), while the prevalence of post-traumatic stress disorder (PTSD) increased from 21.5 to 29.6% (p < 0.005). Further, the proportion of suicidal thoughts increased from 7.7 to 14.8% (p < 0.001). Suicidal thoughts and self-injuries were significantly associated with COVID-19 panic, depression, anxiety, and PTSD. Students who reported being in close contact with COVID-19 patients in the past were more likely to develop PTSD. Further, COVID-19-induced panic was a risk factor for self-injury.

Conclusion

One year after the COVID-19 pandemic, the overall mental health of college students was not optimal. Hence, we can conclude that the long-term impacts of COVID-19 on the mental health of college students may have already occurred. To mitigate this impact and prepare for the next major public health event, strengthening college students' mental health curricula and promoting healthy behaviors among college students should be a priority for universities and education authorities.

Post-Pandemic Insomnia in Healthcare Workers: A Prospective Study including Sociodemographic, Occupational and Psychosocial Variables

Background/Objectives: Previous research points to the prevalence of insomnia during the COVID-19 pandemic among healthcare workers (HCWs). However, longitudinal studies on its evolution, including the post-pandemic stage, are less abundant, with a special lack of research about possible psychosocial risk factors. The aim of the current study is to analyze the evolution of insomnia in Spanish HCWs from the beginning of the pandemic until two years later, examining the influence of sociodemographic, occupational and psychosocial variables. Methods: This was a prospective longitudinal design with three data collection periods in which insomnia was assessed using the Insomnia Severity Index (ISI), in addition to sociodemographic, occupational and psychosocial (i.e., social support, self-efficacy, resilience and cognitive fusion) variables in HCWs (n = 216) who were in direct contact with COVID-19 patients. Results: High scores were observed for insomnia, with a clear decrease throughout the periods studied (F = 30.198, p < 0.001). An association was observed between insomnia and certain sociodemographic and occupational variables (i.e., work category, p = 0.001; availability of Personal Protective Equipment (PPE), p < 0.001; workload, p < 0.001; worry about self or family contagion, p = 0.002, p = 0.003, respectively). Insomnia had negative relationships with social support (p = 0.014), self-efficacy (p < 0.001) and resilience (p < 0.001) and positive relationships with cognitive fusion (p < 0.001). Interaction effects between the evolution of insomnia and social support from friends (p = 0.024, ƞ2 = 0.34) and between the evolution of insomnia and cognitive fusion (p = 0.047; ƞ2 = 0.25) were found. Conclusions: Social support, self-efficacy and resilience act as buffers for insomnia. Cognitive fusion acts as a clear precipitator of insomnia as well as directly influencing its evolution. Social support from friends also affects the evolution of insomnia. Within the specific circumstances of the COVID-19 pandemic, a long-term effect of social support from friends and a short-term effect of cognitive fusion on the evolution of insomnia was observed. The findings emphasize the need to implement specific interventions to promote the mental well-being of HCWs, particularly in crisis contexts that involve an increase in occupational stress, emphasizing the role of certain psychosocial variables as protective factors.

A latent profile analysis of psychological resilience associated with work fatigue among Chinese nurses

Nurses' psychological resilience has been studied using a variable-centered rather than a person-centered approach, impeding a comprehensive understanding of the holistic expression of these different forms of psychological resilience. This study aimed to examine the characteristics of psychological resilience in a sample of Chinese nurses during COVID-19 using latent profile analysis (LPA) and the relationships between these unique profiles and nurses' work fatigue. A total of 471 Chinese nurses were recruited from three hospitals in Hebei Province between June and July 2020. The participant samples were investigated with the psychological resilience scale and the work fatigue inventory. LPA showed that a three-profile model of psychological resilience best fit this study. The resulting profiles were low psychological resilience, medium psychological resilience, and high psychological resilience. Notably, there were significant differences in nurses' work fatigue among different profiles of psychological resilience. The study provided a new view of nurses' psychological resilience, which may be used to effectively reduce nurses' work fatigue and evaluate nursing work status comprehensively.

Sleep quality and mental health among Chinese nurses after the COVID-19 pandemic: A moderated model

INTRODUCTION AND AIMS

In the specialized nursing setting, nurses are susceptible to developing negative mental health issues. Such conditions among nurses can potentially result in unfavorable medical outcomes. Consequently, this study aims to explore the role of social support in regulating between sleep and mental health in nurses.

METHODS

A cross-sectional study was carried out in September 2022 on 1219 nurses in Quanzhou. The study comprised general demographic information and utilized various questionnaires, namely the Social Support Rate Scale (SSRS), Pittsburgh Sleep Quality Index Questionnaire (PSQI), Generalized Anxiety Disorder Questionnaire (GAD-7), and Patient Health Questionnaire-9 (PHQ-9). The data analysis was performed using t-tests, ANOVAs, Pearsons correlations and hierarchical regression analyses in SPSS software.

RESULTS

Results show that significant associations of sleep quality and social support with anxiety and depression. Simple slope analysis shows that under low levels of social support, sleep quality has a positive impact on anxiety(β = 0.598) and depression(β = 0.851), and the impact is significant. Under high levels of social support, sleep quality also has a positive impact on anxiety(β = 0.462) and depression(β = 0.578), but the impact is smaller. This indicates that as the level of social support increases, the positive predictive effect of sleep quality on anxiety and depression gradually diminishes.

CONCLUSIONS

Social support has the potential to alter the impact of sleep quality on anxiety and depression. Therefore, healthcare policymakers need to focus on enhancing the level of social support and mitigating the impact of poor sleep on anxiety and depression.

Prevalence of depressive symptoms and correlates among individuals who self-reported SARS-CoV-2 infection after optimizing the COVID-19 response in China

Background

The burden of depression symptoms has increased among individuals infected with SARS-CoV-2 during COVID-19 pandemic. However, the prevalence and associated factors of depressive symptoms among individuals infected with SARS-CoV-2 remain uncertain after optimizing the COVID-19 response in China.

Methods

An online cross-sectional survey was conducted among the public from January 6 to 30, 2023, using a convenience sampling method. Sociodemographic and COVID-19 pandemic-related factors were collected. The depression symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). Logistic regression analysis was performed to explore the associated factors with depressive symptoms.

Results

A total of 2,726 participants completed the survey. The prevalence of depression symptoms was 35.3%. About 58% of the participants reported experiencing insufficient drug supply. More than 40% of participants reported that they had missed healthcare appointments or delayed treatment. One-third of participants responded experiencing a shortage of healthcare staff and a long waiting time during medical treatment. Logistic regression analysis revealed several factors that were associated with depression symptoms, including sleep difficulties (OR, 2.84; 95% CI, 2.34-3.44), chronic diseases (OR, 2.15; 95% CI, 1.64-2.82), inpatient treatment for COVID-19 (OR, 3.24; 95% CI, 2.19-4.77), with COVID-19 symptoms more than 13 days (OR, 1.30, 95% CI 1.04-1.63), re-infection with SARS-CoV-2 (OR, 1.52; 95% CI, 1.07-2.15), and the increased in demand for healthcare services (OR, 1.32; 95% CI, 1.08-1.61).

Conclusion

This study reveals a moderate prevalence of depression symptoms among individuals infected with SARS-CoV-2. The findings underscore the importance of continued focus on depressive symptoms among vulnerable individuals, including those with sleeping difficulties, chronic diseases, and inpatient treatment for COVID-19. It is necessary to provide mental health services and psychological interventions for these vulnerable groups during the COVID-19 epidemic.

The workload change and depression among emergency medical staff after the open policy during COVID-19: a cross-sectional survey in Shandong, China

Introduction

In the middle of December 2022, the Chinese government adjusted the lockdown policy on coronavirus disease 2019 (COVID-19), a large number of infected patients flooded into the emergency department. The emergency medical staff encountered significant working and mental stress while fighting the COVID-19 pandemic. We aimed to investigate the workload change, and the prevalence and associated factors for depression symptoms among emergency medical staff after the policy adjustment.

Methods

We conducted a cross-sectional online survey of emergency medical staff who fought against COVID-19 in Shandong Province during January 16 to 31, 2023. The respondents' sociodemographic and work information were collected, and they were asked to complete the 9-item Patient Health Questionnaire (PHQ-9) then. Univariate and multivariate logistic regression analyses were applied to identify the potential associated factors for major depression.

Results

Nine hundred and sixteen emergency medical personnel from 108 hospitals responded to this survey. The respondents' weekly working hours (53.65 ± 17.36 vs 49.68 ± 14.84) and monthly night shifts (7.25 ± 3.85 vs 6.80 ± 3.77) increased after the open policy. About 54.3% of the respondents scored more than 10 points on the PHQ-9 standardized test, which is associated with depressive symptoms. In univariate analysis, being doctors, living with family members aged ≤16 or ≥ 65 years old, COVID-19 infection and increased weekly working hours after the open policy were significantly associated with a PHQ-9 score ≥ 10 points. In the multivariate analysis, only increased weekly working hours showed significant association with scoring ≥10 points.

Conclusion

Emergency medical staff' workload had increased after the open policy announcement, which was strongly associated with a higher PHQ-9 scores, indicating a very high risk for major depression. Emergency medical staff working as doctors or with an intermediate title from grade-A tertiary hospitals had higher PHQ-9 scores, while COVID-19 infection and weekly working hours of 60 or more after the open policy were associated with higher PHQ-9 scores for those from grade-B tertiary hospitals. Hospital administrators should reinforce the importance of targeted emergency medical staff support during future outbreaks.