Anxiety and depression and its correlates in patients with coronavirus disease 2019 in Wuhan

The global prevalence of depression, anxiety, and sleep disorder among patients coping with Post COVID-19 syndrome (long COVID): a systematic review and meta-analysis

BACKGROUND

Post COVID-19 syndrome, also known as "Long COVID," is a complex and multifaceted condition that affects individuals who have recovered from SARS-CoV-2 infection. This systematic review and meta-analysis aim to comprehensively assess the global prevalence of depression, anxiety, and sleep disorder in individuals coping with Post COVID-19 syndrome.

METHODS

A rigorous search of electronic databases was conducted to identify original studies until 24 January 2023. The inclusion criteria comprised studies employing previously validated assessment tools for depression, anxiety, and sleep disorders, reporting prevalence rates, and encompassing patients of all age groups and geographical regions for subgroup analysis Random effects model was utilized for the meta-analysis. Meta-regression analysis was done.

RESULTS

The pooled prevalence of depression and anxiety among patients coping with Post COVID-19 syndrome was estimated to be 23% (95% CI: 20%-26%; I2 = 99.9%) based on data from 143 studies with 7,782,124 participants and 132 studies with 9,320,687 participants, respectively. The pooled prevalence of sleep disorder among these patients, derived from 27 studies with 15,362 participants, was estimated to be 45% (95% CI: 37%-53%; I2 = 98.7%). Subgroup analyses based on geographical regions and assessment scales revealed significant variations in prevalence rates. Meta-regression analysis showed significant correlations between the prevalence and total sample size of studies, the age of participants, and the percentage of male participants. Publication bias was assessed using Doi plot visualization and the Peters test, revealing a potential source of publication bias for depression (p = 0.0085) and sleep disorder (p = 0.02). However, no evidence of publication bias was found for anxiety (p = 0.11).

CONCLUSION

This systematic review and meta-analysis demonstrate a considerable burden of mental health issues, including depression, anxiety, and sleep disorders, among individuals recovering from COVID-19. The findings emphasize the need for comprehensive mental health support and tailored interventions for patients experiencing persistent symptoms after COVID-19 recovery.

Comparison of COVID-19 vaccine policies and their effectiveness in Korea, Japan, and Singapore

BACKGROUND

This study aimed to analyze coronavirus disease 2019 (COVID-19)vaccine policies and effectiveness in Korea, Japan, and Singapore, thereby providing empirical experience for vaccination and response to similar public health emergencies.

METHODS

The study systematically summarized the COVID-19 vaccine policies in Korea, Japan, and Singapore through public information from the Our World in Data website and the official websites of the Ministries of Health in these three countries.Total vaccinations, COVID-19 vaccination rates, rates of fully vaccinated, rates of boostervaccinated, and total confifirmed cases were selected for cross-sectional comparison of COVID-19 vaccination in these three countries. Combining the basic characteristics of these three countries, daily cases per million, daily deaths per million, and the effective reproduction rate were calculated to measure the effectiveness of COVID-19 vaccine policies implementation in each of these three countries RESULTS: The countermeasures against the COVID-19 in Korea, Japan, and Singapore, although seemingly different on the surface, have all taken an aggressive approach. There are large similarities in the timing of the start of COVID-19 vaccination, the type of vaccine, how vaccine appointments are made, and whether vaccination are free, and all had high vaccination rates. A systematic comparison of the anti-epidemic practices in the three East Asian countries revealed that all three countries experienced more than one outbreak spike due to the spread of new mutant strains after the start of mass vaccination with COVID-19 vaccination, but that vaccination played a positive role in reducing the number of deaths and stabilizing the effective reproduction rate.

CONCLUSIONS

This study comparatively analyzed the COVID-19 vaccine policies and their effects in South Korea, Japan, and Singapore, and found that there is a common set of logical combinations behind the seemingly different strategies of these three countries. Therefore, in the process of combating COVID-19, countries can learn from the successful experience of combating the epidemic and continue to strengthen the implementation of vaccination programs, as well as adjusting public perceptions to reduce the level of vaccine hesitancy, enhance the motivation for vaccination, and improve the coverage of COVID-19 vaccine based on different cultural factors, which remains the direction for future development.

Correlates of anxiety and depressive symptoms in inpatients with COVID-19 in Taiwan

Objectives

Inpatients with COVID-19 may experience high levels of anxiety and depressive symptoms during the pandemic. No prior study has examined these symptoms with COVID-19 inpatients in Taiwan. Using data from a tertiary hospital in Northern Taiwan, we investigated anxiety and depressive symptoms and the associated sociodemographic or clinical characteristics in these patients.

Methods

Data of anxiety and depressive symptoms by the Hospital Anxiety and Depression Scale (HADS) as well as the sociodemographic and clinical correlates were retrospectively retrieved and analyzed for COVID-19 patients admitted to Far Eastern Memorial Hospital from June 4 to June 28, 2021.

Results

In total, 152 patients with COVID-19 were included. Among all the COVID-19 inpatients, 9.9 % (n = 15) had an HADS anxiety score of ≥8 and 7.2 % (n = 11) had an HADS depression score of ≥8. COVID-19 inpatients with HADS anxiety score ≥8 or HADS depression score ≥8 were found to have a longer length of hospital stay compared to the respective comparison group. The female patients, patients aged >55 years, and patients hospitalized for >15 days had significantly higher anxiety scores than did the corresponding comparison groups.

Conclusion

COVID-19 inpatients with either anxiety or depression were associated with longer length of hospital stay. Age, sex, and hospitalization length were found to be associated with anxiety symptoms in inpatients with COVID-19. Future studies are warranted to elucidate differential mechanisms potentially related to anxiety and depressive symptoms in patients with COVID-19.

Psychological impacts of the COVID-19 pandemic in a Hispanic sample: Testing the buffering role of resilience and perceived social support

The current study examined the effects of specific COVID-19 stressors (i.e., family member's death due to COVID-19, COVID-19 infection, and school/financial stressors) on stress, anxiety, and depression and the potential buffering roles of resilience and perceived social support in the association between COVID-19 stressors and psychological symptoms in a Hispanic university student sample (n = 664). Participants were classified in three stressor groups: those reporting a family member's death due to COVID-19 (15.7%), those reporting their own or a family member's COVID-19 infection but no COVID-19 death (35.5%), and those reporting only school and/or financial stressors due to the pandemic (48.8%). Participants completed self-report measures online. Over 50% of participants with a COVID-19 death or infection in the family reported clinical levels of depression symptoms and over 40% endorsed clinically elevated anxiety symptoms. A series of moderation analyses with multi-categorical predictors found that among relatively highly resilient people, the magnitudes of the impact of COVID-19 infection or death on stress, anxiety, and depression were similar to the effect of a financial/school stressor alone, suggesting the buffering role of resilience. Perceived social support did not play a buffering role in the associations. Family member death due to COVID-19 and COVID-19 infection had significant negative psychological impacts on Hispanic young adults. Internal personal resources such as resilience, rather than external personal resources such as perceived social support, appear to be a critical factor that may help protect Hispanic individuals' mental health from the worst stressors of the COVID-19 pandemic.

Combined effects of inflammation and coronavirus disease 2019 (COVID-19) on the risks of anxiety and depression: A cross-sectional study based on UK Biobank

Infection-induced perturbation of immune homeostasis could promote psychopathology. Psychiatric sequelae have been observed after previous coronavirus outbreaks. However, limited studies were conducted to explore the potential interaction effects of inflammation and coronavirus disease 2019 (COVID-19) on the risks of anxiety and depression. In this study, first, polygenic risk scores (PRS) were calculated for eight COVID-19 clinical phenotypes using individual-level genotype data from the UK Biobank. Then, linear regression models were developed to assess the effects of COVID-19 PRS, C-reactive protein (CRP), systemic immune inflammation index (SII), and their interaction effects on the Generalized Anxiety Disorder-7 (GAD-7, 104 783 individuals) score and the Patient Health Questionnaire-9 (PHQ-9, 104 346 individuals) score. Several suggestive interactions between inflammation factors and COVID-19 clinical phenotypes were detected for PHQ-9 score, such as CRP/SII × Hospitalized/Not_Hospitalized in women group and CRP × Hospitalized/Unscreened in age >65 years group. For GAD-7 score, we also found several suggestive interactions, such as CRP × Positive/Unscreened in the age ≤65 years group. Our results suggest that not only COVID-19 and inflammation have important effects on anxiety and depression but also the interactions of COVID-19 and inflammation have serious risks for anxiety and depression.

Survey of psychiatric symptoms among inpatients with COVID-19 using the Diagnosis Procedure Combination data and medical records in Japan

Physical symptoms such as fatigue and muscle weakness, and psychiatric symptoms like depression and anxiety are considered as complications and sequelae of COVID-19. This epidemiological study investigated the actual status of psychiatric symptoms and disorders caused by COVID-19, from four major university hospitals and five general hospitals in Fukuoka Prefecture, Japan, having a population of 5 million. We conducted a survey of psychiatric disorders associated with COVID-19 using Diagnosis Procedure Combination (DPC) data and the psychiatric records of the hospitals. In the study period from January 2019 to September 2021, 2743 COVID-19 admissions were determined from DPC data across the nine sites. These subjects had significantly more anxiety, depression, and insomnia, and were receiving higher rates of various psychotropic medications than controls influenza and respiratory infections. A review of psychiatric records revealed that the frequency of organic mental illness with insomnia and confusion was proportional to the severity of COVID-19 infection and that anxiety symptoms appeared independent of infection severity. These results indicate that COVID-19 is more likely to produce psychiatric symptoms such as anxiety and insomnia than conventional infections.

Dietary Intake, Stress, Anxiety, and Satisfaction with Nutrition Services in Patients with and without COVID-19

Background

Dietary intake constitutes a fundamental support in hospitalized patients to reduce morbimortality, risk of complications, and hospital stay.

Objective

We compared dietary intake, stress, anxiety, and satisfaction with the nutrition service in patients with and without COVID-19; we also analyzed the correlation between the variables mentioned.

Methods

A cross-sectional, comparative, and correlational study was carried out. A total of 215 patients were selected by non-probability convenience sampling (97 with COVID-19 and 118 without COVID-19).

Results

Patients with COVID-19 presented a higher percentage of "all the dish served" consumption (63.9%), as well as a higher percentage of "high" anxiety (18.6%) and "very high" satisfaction (28.9%) compared to their counterparts without COVID-19. The stress variable was predominantly moderate in both groups (57.7% vs 55.9%). Statistically significant and indirect correlation was found between satisfaction and stress level (rho = -0.289; p<0.01) in patients without COVID-19; similarly, between intake and stress level (rho =-.254; p<0.05) in patients with COVID-19. Both groups presented a statistically significant and direct correlation between anxiety and stress level (rho =0.432 without COVID-19, rho = 0.525 with COVID-19; p<0.01).

Conclusion

The findings suggest a multidisciplinary intervention, in which the improvement of mental health in the study population is contemplated and to coadunate the negative effects on the perception of the quality of care of the nutrition service and on dietary intake.

Inter-relationships of depressive and anxiety symptoms with suicidality among adolescents: A network perspective

BACKGROUND

Persons with suicidality including suicidal ideation (SI), suicide plans (SP) and/or suicide attempts (SA) are at higher risk for future suicide than those without suicidality. To reduce the risk of future suicide, it is important to understand symptoms of emotional distress that have the strongest links with SI, SP and SA. This network analysis examined item-level relations of depressive and anxiety symptoms with suicidality among adolescents during the COVID-19 pandemic.

METHODS

Adolescents between 12 and 20 years of age were assessed with the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), and individual binary reponse (no/yes) items assessing SI, SP, and SA during the pandemic. The structure of depressive symptoms, anxiety symptoms and suicidality was characterized using "Expected Influence" and "Bridge Expected Influence" as centrality indices in the symptom network. Network stability was tested using a case-dropping bootstrap procedure. Node-specific predictive betweenness was computed to examine short paths of anhedonia, other depressive symptoms and anxiety symptoms with suicidality. A Network Comparison Test (NCT) was conducted to examine whether network characteristics differed based on gender.

RESULTS

Prevalence rates of depressive symptoms, anxiety symptoms, and suicidality were 44.60 % (95% confidence interval (CI) = 41.53-47.67 %), 31.12 % (95%CI = 28.26-33.98 %), and 16.95 % (95%CI = 14.63-19.26 %), respectively, in the study sample. The network analysis identified GAD3 ("Worry too much") as the most central symptom, followed by GAD6 ("Irritability") and PHQ6 ("Guilt") in the sample. Additionally, PHQ6 ("Guilt"), GAD6 ("Irritability"), and PHQ2 ("Sad mood") were bridge nodes linking depressive and anxiety symptoms with suicidality. A flow network indicated that the connection between S ("Suicidality") and PHQ6 ("Guilt") reflected the strongest connection, followed by connections of S ("Suicidality") with GAD2 ("Uncontrollable worrying"), and S ("Suicidality") with PHQ2 ("Sad mood"). Finally, PHQ2 ("Sad mood") was the main bridge node linking anhedonia with other depressive and anxiety symptoms and suicidality in the sample.

CONCLUSIONS

Findings highlight the potential importance of reducing specific depressive and anxiety symptoms as possible means of reducing suicidality among adolescents during the pandemic. Central symptoms and key bridge symptoms identified in this study should be targeted in suicide prevention for at-risk adolescents.

The impact of COVID-19 on medium term weight loss and comorbidities in patients undergoing bariatric surgery and its association with psychological wellbeing

BACKGROUND

The COVID-19 epidemic imposed significant stressors on individuals and changed how medical care is delivered. The affect that this stress has placed on the field of bariatric surgery and the associated outcomes is not well established.

METHODS

A retrospective review of a prospectively collected database from a single academic institution was conducted. Weight loss and comorbidity outcomes were compared between a cohort of patients operated on during the pandemic and a matched group operated on prior to COVID-19. GAD-7 and PHQ-9 questionnaires were used to assess for anxiety and depression, respectively.

RESULTS

A total of 329 and 155 patients were enrolled in the pre-pandemic and COVID-19 groups respectively. There were no significant differences in pre-operative BMI (p = 0.437) or comorbidities: Type II DM (p = 0.810), hypertension (p = 0.879), sleep apnea (p = 0.502), and hyperlipidemia (p = 0.227). Post-operatively, weight loss was comparable at all time points out to 1 year. Type II DM resolution rates were higher in the control cohort at 6 months (p = 0.007), but not at 12 months (p = 1.000). There was no statistically significant difference in resolution rates between the control group and the COVID-19 group for the other measured comorbidities. There was no difference in objective measures of anxiety and depression when comparing the two groups (both p > 0.05).

CONCLUSIONS

The COVID-19 pandemic has fundamentally changed how society and medical systems function. Focusing on pre-operative dietary training and screening for inadequately managed psychological comorbidities yielded similar weight loss outcomes notwithstanding the significant societal and individual stressors with which patients were faced.

An Analysis by State on The Effect of Movement Control Order (MCO) 3.0 Due to COVID-19 on Malaysians’ Mental Health: Evidence from Google Trends

Due to significant social and economic upheavals brought on by the COVID-19 pandemic, there is a great deal of psychological pain. Google Trends data have been seen as a corollary measure to assess population-wide trends via observing trends in search results. Judicious analysis of Google Trends data can have both analytical and predictive capacities. This study aimed to compare nation-wide and inter-state trends in mental health before and after the Malaysian Movement Control Order 3.0 (MCO 3.0) commencing 12 May 2021. This was through assessment of two terms, “stress” and “sleep” in both the Malay and English language. Google Trends daily data between March 6 and 31 May in both 2019 and 2021 was obtained, and both series were re-scaled to be comparable. Searches before and after MCO 3.0 in 2021 were compared to searches before and after the same date in 2019. This was carried out using the differences in difference (DiD) method. This ensured that seasonal variations between states were not the source of our findings. We found that DiD estimates, β_3 for “sleep” and “stress” were not significantly different from zero, implying that MCO 3.0 had no effect on psychological distress in all states. Johor was the only state where the DiD estimates β_3 were significantly different from zero for the search topic ‘Tidur’. For the topic ‘Tekanan’, there were two states with significant DiD estimates, β_3, namely Penang and Sarawak. This study hence demonstrates that there are particular state-level differences in Google Trend search terms, which gives an indicator as to states to prioritise interventions and increase surveillance for mental health. In conclusion, Google Trends is a powerful tool to examine larger population-based trends especially in monitoring public health parameters such as population-level psychological distress, which can facilitate interventions.

Anxiety, Depression and Death Anxiety in Individuals with COVID-19

This study aimed to determine the death anxiety, anxiety, and depression levels of the individuals staying at the hospital due to COVID-19. The study recruited 300 patients with confirmed COVID-19 who were staying at specialized clinics in the hospital. Three tools - A Patient Information Form, the Death Anxiety Scale (DAS), and the Hospital Anxiety and Depression Scale (HADS)-were used to collect data. The findings of the present study revealed that 28.7% of the participants were at a high risk for developing anxiety and 45.0% were equally at a high risk for developing depression. 33.3% of the participants suffered from high level of death anxiety. There was a positive and highly significant correlation between their death anxiety and their anxiety and depression scores (p < .001). Accordingly, more evidence-based studies need to be conducted that examine how effective non-pharmacological practices are at helping COVID-19 patients by identifying their anxiety, depression, and death anxiety. Furthermore, nurses need to take care of patient care in a holistic manner that would include addressing patients' psychological needs alongside their physical problems.

COVID-19-related psychiatric manifestations requiring hospitalization: Analysis in older vs. younger patients

The complex manifestations of COVID-19 include psychiatric symptoms, having multifaceted profiles with varying severity during the acute phase and further during the recovery period. Limited data exist which have analyzed whether there are any age-related differences. A study lot of 89 COVID-19 patients with mild-to-moderate SARS-CoV-2 infection requiring hospitalization for mental issues provided comparative data from two age groups below and above 60 years. The majority of patients had new onset of a mental issue during COVID-19, 24.7% of the total lot being diagnosed with depressive disorder. The senior patient set had a significantly higher prevalence of sleep disorder vs. the younger study group (53.3 vs. 28.8%), depression (33.3 vs. 10.2%) and cognitive impairment (26.7 vs. 8.5%), while patients <60 years of age had a higher prevalence of hallucinations, delirium and bizarre behavior. Psychiatric manifestations are an important part of the symptomatology of COVID-19, sometimes requiring hospitalization. Age-related neuropsychiatric substrate could explain some of these differences between the two study subgroups. Further data are needed to complete the acute and long-term distinctive profiles of COVID-19-related mental illness in older and younger patients.

The Impact of Gender and Age Differences and Infectious Disease Symptoms on Psychological Distress in Quarantined Asymptomatic or Mildly Ill COVID-19 Patients in Japan

Quarantine imposed due to COVID-19 infection can exacerbate psychological distress, and it is important for a public mental health agency to identify factors that are predictive of high psychological distress in such situation. The aim of this study was to investigate whether gender, age, and the presence or absence of infectious disease symptoms affected psychological distress among asymptomatic or mildly ill COVID-19 patients who were quarantined. Participants were 436 asymptomatic or mildly symptomatic COVID-19-infected patients who were quarantined in a treatment facility between 1 May 2020 and 30 September 2021. We used Quantification Theory I analysis to investigate the effects of gender, age, and the nature of infectious disease symptoms on psychological distress. The results of the analysis showed that the contribution rate was 0.06. Among gender, age, presence of symptoms, and the nature of symptoms, age had the greatest effect on psychological distress, and being in one’s teens to thirties was considered to exacerbate psychological distress the most. According to the results, the psychological distress of asymptomatic and mildly symptomatic COVID-19 patients isolated was affected by gender, age, and symptomology, especially due to age differences. However, the impact of these items on psychological distress was not considered significant.

Stressful Life Events and Depression During the Recurrent Outbreak of COVID-19 in China: The Mediating Role of Grit and the Moderating Role of Gratitude

Purpose

COVID-19 has been exerting tremendous influence on an individual’s physical behavior and mental health. In China, prolonged isolation may lead to depression among college students during the recurrent outbreak of COVID-19. We conducted this study to explore the relationship among stressful life events, grit, gratitude, and depression in college students during the recurrent outbreak of COVID-19.

Methods

We investigated 953 college students from across China, with an average age of 20.38 (SD=1.39) years. Participants completed four scales (Stressful Life Events Scale, Oviedo Grit Scale, Gratitude Questionnaire, and Patients’ Health Questionnaire Depression Scale-9 item).

Results

The present study found that (1) stressful life events were positively correlated with depression in college students; (2) grit mediated the positive relationship between stressful life events and depression; (3) gratitude moderated the relationship between grit and depression, and such that there was a stronger association between grit and depression for college students with high gratitude.

Conclusion

This study was of great significance for studying the relationship between stressful life events and depression in Chinese college students during the recurrent outbreak of COVID-19. Results indicated that grit and gratitude of college students may be the main targets of depression prevention and intervention. The research conclusion has theoretical and reference value for solving and preventing depression in college students during the recurrent outbreak of COVID-19.

Cognitive remediation therapy for post-acute persistent cognitive deficits in COVID-19 survivors: A proof-of-concept study

ABSTRACTCognitive impairments figure prominently in COVID-19 survivors. Cognitive remediation therapy (CRT) improves functional outcomes reducing long-term cognitive deficits in several neurological and psychiatric conditions. Our case-control study investigates the efficacy of a CRT programme administered to COVID-19 survivors in the post-acute phase of the illness. Seventy-three COVID-19 survivors presenting cognitive impairments at one-month follow-up were enrolled. Among them, 15 patients were treated with a two-month CRT programme, and 30 non-treated patients were matched conditional to their baseline cognitive functioning. Cognitive functions were assessed before and after treatment. Depression and quality of life were also evaluated. Mixed model ANOVA revealed a significant effect over time of the CRT programme on global cognitive functioning (F = 4.56, p = 0.039), while no significant effect was observed in the untreated group. We observed a significant effect of the improvement in verbal fluency (χ² = 7.20, p = 0.007) and executive functions (χ² = 13.63, p < 0.001) on quality of life. A positive significant correlation was found between depressive symptomatology and verbal fluency (r = -0.35), working memory (r = -0.44), psychomotor coordination (r  = -0.42), and executive functions (r  = -0.33). Our results could pave the way to a plausible innovative treatment targeting cognitive impairments and ameliorating the quality of life of COVID-19 survivors.

Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review

COVID-19 is a disease caused by SARS-CoV-2 and has been declared a worldwide pandemic by the World Health Organization due to its rapid spread. Since the first case was identified in Wuhan, China, the battle against this deadly disease started and has disrupted almost every field of life. Medical staff and laboratories are leading from the front, but researchers from various fields and governmental agencies have also proposed healthy ideas to protect each other. In this article, a Systematic Literature Review (SLR) is presented to highlight the latest developments in analyzing the COVID-19 data using machine learning and deep learning algorithms. The number of studies related to Machine Learning (ML), Deep Learning (DL), and mathematical models discussed in this research has shown a significant impact on forecasting and the spread of COVID-19. The results and discussion presented in this study are based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Out of 218 articles selected at the first stage, 57 met the criteria and were included in the review process. The findings are therefore associated with those 57 studies, which recorded that CNN (DL) and SVM (ML) are the most used algorithms for forecasting, classification, and automatic detection. The importance of the compartmental models discussed is that the models are useful for measuring the epidemiological features of COVID-19. Current findings suggest that it will take around 1.7 to 140 days for the epidemic to double in size based on the selected studies. The 12 estimates for the basic reproduction range from 0 to 7.1. The main purpose of this research is to illustrate the use of ML, DL, and mathematical models that can be helpful for the researchers to generate valuable solutions for higher authorities and the healthcare industry to reduce the impact of this epidemic.

Network analysis of depressive and anxiety symptoms in adolescents during the later stage of the COVID-19 pandemic

Network analysis is an effective approach for examining complex relationships between psychiatric symptoms. This study was designed to examine item-level relationships between depressive and anxiety symptoms using network analysis in an adolescent sample and identified the most central symptoms within the depressive-anxiety symptoms network model. Depressive and anxiety symptoms were assessed using the Patient Health Questionire-9 (PHQ-9) and Generalized Anxiety Disorder Screener (GAD-7), respectively. The structure of depressive and anxiety symptoms was characterized using "Strength" and "Bridge Strength" as centrality indices in the symptom network. Network stability was tested using a case-dropping bootstrap procedure. Finally, a Network Comparison Test (NCT) was conducted to examine whether network characteristics differed on the basis of gender, school grade and residence. Network analysis revealed that nodes PHQ2 ("Sad mood"), GAD6 ("Irritability"), GAD3 ("Worry too much"), and PHQ6 ("Guilty") were central symptoms in the network model of adolescents. Additionally, bridge symptoms linking anxiety and depressive symptoms in this sample were nodes PHQ6 ("Guilty"), PHQ2 ("Sad mood"), and PHQ9 ("Suicide ideation"). Gender, school grade and residence did not significantly affect the network structure. Central symptoms (e.g., Sad mood, Irritability, Worry too much, and Guilty) and key bridge symptoms (e.g., Guilty, Sad mood, and Suicide ideation) in the depressive and anxiety symptoms network may be useful as potential targets for intervention among adolescents who are at risk for or suffer from depressive and anxiety symptoms.

Psychological Symptoms in COVID-19 Patients: Insights into Pathophysiology and Risk Factors of Long COVID-19

There is growing evidence of studies associating COVID-19 survivors with increased mental health consequences. Mental health implications related to a COVID-19 infection include both acute and long-term consequences. Here we discuss COVID-19-associated psychiatric sequelae, particularly anxiety, depression, and post-traumatic stress disorder (PTSD), drawing parallels to past coronavirus outbreaks. A literature search was completed across three databases, using keywords to search for relevant articles. The cause may directly correlate to the infection through both direct and indirect mechanisms, but the underlying etiology appears more complex and multifactorial, involving environmental, psychological, and biological factors. Although most risk factors and prevalence rates vary across various studies, being of the female gender and having a history of psychiatric disorders seem consistent. Several studies will be presented, demonstrating COVID-19 survivors presenting higher rates of mental health consequences than the general population. The possible mechanisms by which the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) enters the brain, affecting the central nervous system (CNS) and causing these psychiatric sequelae, will be discussed, particularly concerning the SARS-CoV-2 entry via the angiotensin-converting enzyme 2 (ACE-2) receptors and the implications of the immune inflammatory signaling on neuropsychiatric disorders. Some possible therapeutic options will also be considered.

Predicting Anxiety and Depression Among Patients With COVID-19 in Concentrated Isolation at Medical Camps in Vietnam: A Descriptive Cross-Sectional Study

INTRODUCTION

This study aims to assess the requirement for anxiety and depression treatment for patients with coronavirus disease 2019 (COVID-19) in medical camps in Bac Giang province, Vietnam. This information can help improve the government policy to reduce anxiety and depression in patients with COVID-19.

METHODS

A total of patients with 427 COVID-19 participated in the survey conducted from 5 to 15 June 2021 in Bac Giang province. The survey included 17 questions about the general characteristics of the patients, 15 questions to assess common COVID-19 symptoms, the Patient Health Questionnaire-9 (PHQ-9), and General Anxiety Disorder-7 (GAD-7) scores, and four questions to assess hospital reviews, including facilities, food, medical staff, and living conditions. Logistics regression analyses were conducted to assess the association between COVID-19 symptoms and high anxiety and depression (HAD) status.

RESULTS

A logistic regression analysis evaluated the risk factors in need of intervention. Our study showed that lower hospital review scores (odd ratio = 0.98; 95% confident interval = 0.97-0.99) were found to be a risk needing intervention. It was also identified that older patients (odd ratio = 1.1; 95% confident interval = 1.03-1.18), women (odd ratio = 1.31; 95% confident interval = 1.09-1.31), patients who were primary income earners in the family (odd ratio = 1.15; 95% confident interval = 1.03-1.28), patients who had headaches (odd ratio = 1.16; 95% confident interval = 1.06-1.21), and patients who had joint pain (odd ratio = 1.17; 95% confident interval = 1.06- 1.3) were risk factors for HAD status.

CONCLUSION

Our research shows that every 10-year age increase was associated with a 10% increase in the likelihood of HAD status. Study subjects being primary income earners were also associated with a 15% increased risk of having HAD status. This study showed that a decrease in family income due to COVID-19 caused an increase in high-level anxiety/depression status.

The effect of mandala colouring on anxiety in hospitalized COVID-19 patients: A randomized controlled clinical trial

COVID-19 significantly affects patients' mental health, triggering a wide range of psychological disorders, including anxiety. The aim of this study was to investigate the effect of mandala colouring on the anxiety of hospitalized COVID-19 patients. In this randomized controlled clinical trial, 70 hospitalized patients with COVID-19 were randomly divided between the intervention and control groups. Standard care was provided for both groups. The intervention group spent 30 min/day for six consecutive days performing mandala colouring. Patient anxiety was measured prior and subsequent to the intervention in both groups using the Spielberger State-Trait Anxiety Inventory. Data were analysed using SPSS software version 25. The mean anxiety score was not significantly different between the two groups before the intervention (P = 0.08). Subsequent to the intervention, the mean anxiety score in the intervention and control groups was 44.05 ± 4.67 and 67.85 ± 6.25, respectively, indicating a statistically significant (P = 0.0001) decrease in the anxiety measured among the intervention group as compared with that of the control group. The results of this study show that 30 min of mandala colouring daily is an effective strategy for reducing anxiety in hospitalized COVID-19 patients. Mandala colouring can complement routine treatment and provides a non-pharmaceutical option for decreasing patient anxiety.

Mental Health in COVID-2019 Survivors from a General Hospital in Peru: Sociodemographic, Clinical, and Inflammatory Variable Associations

The current coronavirus disease-2019 (COVID-19) pandemic constitutes a significant public health problem worldwide, as well as mental health problems. This study aimed to evaluate the mental health of COVID-19 survivors, considering their sociodemographic, clinical, and immune variables. A cross-sectional and correlational study was conducted on 318 COVID-19 survivors from one hospital in Peru. Through telephone interviews, evaluation of the presence of depressive symptoms using the Patient Health Questionnaire-9, anxiety symptoms through the Generalized Anxiety Disorder-7, somatic symptoms through Patient Health Questionnaire-15, and posttraumatic stress disorder (PTSD) symptoms through Impact of Event Scale-Revised was carried out. Poisson regression analyses were performed with their adjusted variances to calculate the prevalence ratio (PR) with their 95% confidence interval. All regression models were adjusted (PRa) for follow-up time. A significant proportion of patients have depressive (30.9%), anxious (31.1%), somatic (35.2%), and PTSD (29.5%) symptoms. The variables associated with a higher frequency of clinically relevant mental symptoms were female sex, self-perception of greater COVID-19 severity, presence of persistent COVID-19 symptoms, loss of a family member due to COVID-19, and prior psychiatric diagnosis or treatment. In addition, the neutrophil-to-lymphocyte ratio was significantly higher in patients with clinically relevant symptoms of depression. COVID-19 survivors showed a high prevalence of negative mental symptoms. Our findings help to identify patients who are vulnerable and require psychiatric care.

Resilience, Psychological Well-Being and Daily Functioning Following Hospitalization for Respiratory Distress Due to SARS-CoV-2 Infection

The ongoing COVID-19 pandemic has affected people's psychological well-being, and hospitalized patients could face an even greater risk of psychological distress. We aimed to study resilience in recovered COVID-19 patients after hospital discharge. We recruited 50 patients (38 males, aged 28-77) who were hospitalized for COVID-19 between March and April 2020. Participants underwent a psychological assessment 5 months after hospital discharge. We administered the Connor-Davidson Resilience Scale (CD-RISC-25), Beck's Depression inventory-II (BDI-II), and the State-Trait Anxiety Inventory Y-form (STAI). We also evaluated the impact of persisting physical, behavioral, and cognitive symptoms on resilience. Patients reported low resilience in the months following hospital discharge (CD-RISC-25 score [mean ± SD] = 55.82 ± 20.76), compared to data from studies on the general population. Lower resilience was associated with mood disturbances in the months following clinical recovery (p = 0.005), persisting fatigue (p = 0.015), sleep changes (p = 0.046), and subjective cognitive complaints (p < 0.05). Recovered COVID-19 patients exhibit low resilience following hospital discharge, which affects psychological well-being. The presence of persisting symptoms following hospital discharge affects psychological resilience. Interventions tailored to increase resilience should be considered to improve quality of life for recovered COVID-19 patients.

Prevalence of depression, anxiety, and insomnia symptoms among patients with COVID-19: A meta-analysis of quality effects model

BACKGROUND

Evidence from previous virus epidemics has shown that infected patients are at risk for developing psychiatric and mental health disorders, such as depression, anxiety, and insomnia. Hence, to collect high-quality data on the impact of COVID-19 pandemic on the prevalence of depression, anxiety, and insomnia symptoms among patients infected with SARS-CoV-2 should be the immediate priority.

METHODS

A comprehensive search of Medline, Embase, Web of Science, and PsycINFO databases was conducted from January 1, 2020 to December 26, 2020 for eligible studies reporting on the prevalence of depression, anxiety, and insomnia symptoms in patients with COVID-19. Studies meeting the following criteria were included in the analysis: (1) included patients with COVD-19; (2) recorded the prevalence of depression, anxiety, or insomnia symptom; (3) sample size ≥30; (4) with validated screening tools; and (5) passed through the international peer-review process. Data extraction and quality assessment was independently performed by two reviewers. The quality effects meta-analysis was conducted further to calculate the pooled prevalence.

RESULTS

Twenty-two studies were included for analysis with a total of 4318 patients. The pooled prevalence of depression, anxiety and insomnia symptoms was 38% (95% CI = 25-51), 38% (95% CI = 24-52), and 48% (95% CI = 11-85), respectively. Neither subgroup analysis nor sensitivity analysis can explain the source of high heterogeneity. In addition, the prevalence estimates of depression, anxiety and insomnia symptoms varied based on different screening tools.

CONCLUSIONS

The present systematic review and meta-analysis suggest that depression, anxiety, and insomnia symptoms are prevalent in a considerable proportion of patients with COVID-19. Thus, early detection and properly intervention for mental illness in this population are of great significance. Additionally, the quality of included studies to date has been variable, and ongoing surveillance is essential.

Needs, gaps and opportunities for standard and e-mental health care among at-risk populations in the Asia Pacific in the context of COVID-19: a rapid scoping review

BACKGROUND

The COVID-19 pandemic is expected to have profound mental health impact, including in the Asia Pacific Economic Cooperation (APEC) region. Some populations might be at higher risk of experiencing negative mental health impacts and may encounter increased barriers to accessing mental health care. The pandemic and related restrictions have led to changes in care delivery, including a rapid shift to the use of e-mental health and digital technologies. It is therefore essential to consider needs and opportunities for equitable mental health care delivery to the most at-risk populations. This rapid scoping review: 1) identifies populations in the APEC region that are at higher risk of the negative mental health impacts of COVID-19, 2) identifies needs and gaps in access to standard and e-mental health care among these populations, and 3) explores the potential of e-mental health to address these needs.

METHODS

We conducted a rapid scoping review following the PRISMA Extension for Scoping Reviews (PRISMA-ScR). We searched Medline, Embase and PsychInfo databases and Google Scholar using a search strategy developed in consultation with a biomedical librarian. We included records related to mental health or psychosocial risk factors and COVID-19 among at-risk groups; that referred to one or more APEC member economies or had a global, thus generalizable, scope; English language papers, and papers with full text available.

RESULTS

A total of 132 records published between December 2019 and August 2020 were included in the final analysis. Several priority at-risk populations, risk factors, challenges and recommendations for standard and e-mental health care were identified. Results demonstrate that e-mental health care can be a viable option for care delivery but that specific accessibility and acceptability considerations must be considered. Options for in-person, hybrid or "low-tech" care must also remain available.

CONCLUSIONS

The COVID-19 pandemic has highlighted the urgent need for equitable standard and e-mental health care. It has also highlighted the persistent social and structural inequities that contribute to poor mental health. The APEC region is vast and diverse; findings from the region can guide policy and practice in the delivery of equitable mental health care in the region and beyond.

Fear of COVID-19 and COVID-19 Stress and Association with Sociodemographic and Psychological Process Factors in Cases under Surveillance in a Frontline Worker Population in Borneo

COVID-19 stress and fear of COVID-19 is an increasingly researched construct in the general population. However, its prevalence and association with sociodemographic factors and psychological process variables has not been explored in frontline workers under surveillance in a Bornean population. This study was a cross-sectional study using a sociodemographic questionnaire incorporating two specific epidemiological risk variables, namely specific questions about COVID-19 surveillance status (persons under investigation (PUI), persons under surveillance (PUS), and positive cases) and the nature of frontline worker status. Furthermore, five other instruments were used, with three measuring psychopathology (namely depression, anxiety and stress, fear of COVID-19, and stress due to COVID-19) and two psychological process variables (namely psychological flexibility and mindfulness). Kruskal-Wallis and Mann-Whitney tests were performed to assess if there were significant differences in psychopathology and psychological process variables between sociodemographic and epidemiological risk variables. Hierarchical multiple regression was further performed, with depression, anxiety, and stress as dependent variables. There were significant differences in the fear of COVID-19 between positive cases, PUI, and PUS. The fear of COVID-19 scores were higher in positive cases compared to in PUS and PUI groups. Upon hierarchical multiple regression, mindfulness and psychological flexibility were significant predictors of depression, anxiety, and stress after controlling for sociodemographic and epidemiological risk factors. This study demonstrates that exposure to COVID-19 as persons under investigation or surveillance significantly increases the fear of COVID-19, and brief psychological interventions that can positively influence mindfulness and psychological flexibility should be prioritized for these at-risk groups to prevent undue psychological morbidity in the long run.

What Explains Natives and Sojourners Preventive Health Behavior in a Pandemic: Role of Media and Scientific Self-Efficacy

The COVID-19 pandemic triggered a severe global public health emergency. The current research investigated and compared "Natives and Sojourners" health-protective behavior in Mainland China during the pandemic. We adopted a unified view to propose our theoretical model by adapting the Health Belief Model (HBM) and Institutional Theory (IT). The data obtained through an online survey questionnaire from 435 respondents during the second and third quarters of were analyzed. Structural equation modeling (SEM) was used to empirically analyze the proposed model. The media self-efficacy (MSE), scientific self-efficacy (SSE), perceived health risks (PHRs), and the perceived benefits of being protected have positive and significant effects on the definition of health-protective behavioral intentions among natives and sojourners in mainland China. Media and SSE can play a strategic role in formulating public health-protective behavior. The current research recommends an effective communication with sojourners during crisis for them to be a part of the national crisis management plan (i.e., infectious disease).

Assessment of depressive symptoms in patients with COVID-19 during the second wave of epidemic in Myanmar: A cross-sectional single-center study

Background

Coronavirus disease 2019 (COVID-19) pandemic has had a great impact on every aspect of society. All countries launched preventive measures such as quarantine, lockdown, and physical distancing to control the disease spread. These restrictions might effect on daily life and mental health. This study aimed to assess the prevalence and associated factors of depressive symptoms in patients with COVID-19 at the Treatment Center.

Methods

A cross-sectional telephone survey was carried out at Hmawbi COVID-19 Treatment Center, Myanmar from December 2020 to January 2021. A total of 142 patients with COVID-19 who met the criteria were invited to participate in the study. A pre-tested Center for Epidemiologic Studies Depression Scale (CES-D) was used as a tool for depressive symptoms assessment. Data were analyzed by using binary logistic regression to identify associated factors of depressive symptoms. Adjusted odds ratio (AOR) with a 95% confidence interval (CI) was computed to determine the level of significance with a p < 0.05.

Results

The prevalence of depressive symptoms in patients with COVID-19 was 38.7%, with the means (± standard deviation, SD) subscale of somatic symptom, negative effect, and anhedonia were 4.64 (±2.53), 2.51 (± 2.12), and 5.01 (± 3.26), respectively. The patients with 40 years and older (AOR: 2.99, 95% CI: 1.36–6.59), < 4 of household size (AOR: 3.45, 95% CI: 1.46–8.15), ≤ 400,000 kyats of monthly family income (AOR: 2.38, 95% CI: 1.02–5.54) and infection to family members (AOR: 4.18, 95% CI: 1.74–10.07) were significant associated factors of depressive symptoms.

Conclusion

The high prevalence of depressive symptoms, approximately 40%, was found in patients with COVID-19 in the Treatment Center. Establishments of psychosocial supports, providing psychoeducation, enhancing the social contact with family and friends, and using credible source of information related COVID-19 would be integral parts of mental health services in COVID-19 pandemic situation.

Prevalence of Depression and Associated Factors Among Quarantined Individuals During the COVID-19 Pandemic in Tigrai Treatment and Quarantine Centers, Tigrai, Ethiopia, 2020: A Cross-Sectional Study

Aim

The global impact of COVID-19 on mental health increases from time to time. Several studies show that depression is highly prevalent among quarantined individuals. COVID-19 is a pandemic with a rapidly increasing incidence of infections and deaths. People are depressed and psychologically overwhelmed by the illness and possible loss of their friends and loved ones.

Objective

To assess the prevalence and associated factors of depression symptoms among quarantined individuals in Tigrai treatment center, Tigrai, Ethiopia, 2020.

Methods

A multicenter Institution-based cross-sectional study was employed among individuals in the Tigrai quarantine centers. A simple random sampling technique was used between April and October 2020 until an adequate sample size was reached. Depression was assessed by using the depression, anxiety, and stress scale (DASS). Epi data manager version 4.4 was used to enter data and data was analyzed using SPSS version 20. Logistic regression was carried out and an odds ratio with 95% confidence intervals (CI) was computed to identify factors associated with depression. A P-value of less than 0.05 was considered as statistically significant and the strength of the association was presented by an odds ratio of 95% CI.

Results

The finding of the present study on the prevalence of depression among quarantined individuals was 18.1 with 95% CI (14.8–22.9). Bivariate and multivariable logistic regression analysis was performed and factors such as being female, duration of quarantine, unemployment, and having perceived stigma were significantly associated with depression.

Recommendation and Conclusion

The prevalence of depression symptoms among quarantined individuals during the COVID-19 pandemic was 18.1%. In multivariable logistic regression analysis, being female, duration of quarantine, unemployment, and having perceived stigma were significantly associated with depression. So, clinicians, mental health professionals, and policymakers should work together to address the problem.

Presentation and management of anxiety in individuals with acute symptomatic or asymptomatic COVID-19 infection, and in the post-COVID-19 recovery phase

COVID-19 is associated with neuropsychiatric complications, the most frequent one being anxiety. Multiple biological and psychosocial factors contribute to anxiety in COVID-19. Among the biological factors, stress, genetics, gender, immune system, resilience, anosmia, hypogeusia, and central nervous system infection with SARS-CoV-2 are key. Anxiety is a complication of COVID-19 that may exacerbate the infection course, and the infection may exacerbate anxiety. We present the mechanisms of anxiety in symptomatic or asymptomatic COVID-19. We discuss the presentation of anxiety in patients without or with prior psychiatric illness, and with co-morbidities. Timely diagnosis and management of anxiety in COVID-19 patients is important. Given the frequent complication of COVID-19 with Acute Respiratory Distress Syndrome and Intensive Care Unit stay, anxiety may be a long-term complication. We review the diagnostic tools for anxiety in COVID-19, and summarise pharmacologic and non-pharmacologic treatments. We provide recommendations for diagnosis, treatment, prevention and follow up of anxiety in COVID-19.Key pointsPatients with COVID-19 (symptomatic or asymptomatic) exhibit a high frequency of neuropsychiatric complications with highest percentage attributed to anxiety.Multiple biological and psychosocial risk factors for anxiety exist in COVID-19-ill individuals. Biological risk factors include stress, resilience, genetics, gender, age, immune system, direct infection of the central nervous system (CNS) with SARS-CoV-2, comorbid psychiatric and general medical illnesses, ARDS and ICU stay. Anosmia and hypogeusia are COVID-19-specific anxiety risk factors. Knowledge of the anxiety risk factors is essential to focus on timely interventions, because anxiety may be a complication of and exacerbate the COVID-19 course.An inverse correlation exists between resilience and anxiety because of COVID-19, and therefore efforts should be made to increase resilience in COVID-19 patients.In COVID-19, important anxiety mechanism is neuroinflammation resulting from activation of the immune system and an ensuing cytokine storm.The general approach to management of anxiety in COVID-19 should be compassionate, similar to that during trauma or disaster, with efforts focussed on instilling a sense of hope and resilience.In selecting pharmacological treatment of anxiety, the stress response and immune system effects should be key. Medications with cardio-respiratory adverse effects should be avoided in patients with respiratory problems.Anxiety is a disorder that will require for long-term follow up at least one month after COVID-19.

The Efficacy of Computerized Cognitive Behavioral Therapy for Depressive and Anxiety Symptoms in Patients With COVID-19: Randomized Controlled Trial

Background

The prevalence of depressive and anxiety symptoms in patients with COVID-19 is higher than usual. Previous studies have shown that there are drug-to-drug interactions between antiretroviral drugs and antidepressants. Therefore, an effective and safe treatment method was needed. Cognitive behavioral therapy (CBT) is the first-line psychological therapy in clinical treatment. Computerized CBT (cCBT) was proven to be an effective alternative to CBT and does not require face-to-face therapy between a therapist and the patient, which suited the COVID-19 pandemic response.

Objective

This study aims to evaluate the efficacy of the cCBT program we developed in improving depressive and anxiety symptoms among patients with COVID-19.

Methods

We customized a cCBT program focused on improving depressive and anxiety symptoms among patients with COVID-19, and then, we assessed its effectiveness. Screening was based on symptoms of depression or anxiety for patients who scored ≥7 on the Hamilton Depression Rating Scale (HAMD₁₇) or the Hamilton Anxiety Scale (HAMA). A total of 252 patients with COVID-19 at five sites were randomized into two groups: cCBT + treatment as usual (TAU; n=126) and TAU without cCBT (n=126). The cCBT + TAU group received the cCBT intervention program for 1 week. The primary efficacy measures were the HAMD₁₇ and HAMA scores. The secondary outcome measures were the Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), and Athens Insomnia Scale (AIS). Assessments were carried out pre- and postintervention. The patients’ symptoms of anxiety and depression in one of the centers were assessed again within 1 month after the postintervention assessment.

Results

The cCBT + TAU group displayed a significantly decreased score on the HAMD₁₇, HAMA, SDS, SAS, and AIS after the intervention compared to the TAU group (all P<.001). A mixed-effects repeated measures model revealed significant improvement in symptoms of depression (HAMD₁₇ and SDS scores, both P<.001), anxiety (HAMA and SAS scores, both P<.001), and insomnia (AIS score, P=.002) during the postintervention and follow-up periods in the cCBT + TAU group. Additionally, the improvement of insomnia among females (P=.14) and those with middle school education (P=.48) in the cCBT + TAU group showed no significant differences when compared to the TAU group.

Conclusions

The findings of this study suggest that the cCBT program we developed was an effective nonpharmacological treatment for symptoms of anxiety, depression, and insomnia among patients with COVID-19. Further research is warranted to investigate the long-term effects of cCBT for symptoms of anxiety, depression, and insomnia in patients with COVID-19.

Trial Registration

Chinese Clinical Trial Registry ChiCTR2000030084; http://www.chictr.org.cn/showprojen.aspx?proj=49952

[Anxiety in times of COVID-19 and other health crises]

BACKGROUND

Epidemics and pandemics and the measures taken to contain their spread are accompanied by numerous stressors, which can lead in particular to severe anxiety.

OBJECTIVE

This article describes the components and determinants of these anxiety symptoms, potential resilience and risk factors and appropriate recommendations for action.

METHODS

The article presents an overview of research results regarding COVID-19 and previous epidemics and pandemics (e.g., HIV, SARS, MERS, Ebola and swine flu). Furthermore, official recommendations for action are presented.

RESULTS

Anxiety symptoms frequently occur in epidemics and pandemics, especially in the early phase and usually decrease in the further course. Although other aspects of different infectious diseases vary, the associated fears are similar and include e.g. the fear of health-related, social and economic consequences. Resilience and risk factors in various epidemics and pandemics are comparable. Self-efficacy expectation, tolerance of uncertainty, normalization, routines, safety and social support usually have a protective effect. In contrast, excessive media consumption, female gender, work in a medical context, suppression, pre-existing diseases, unhealthy behavior and closer exposure to the virus are often accompanied by more severe anxiety.

CONCLUSION

Fears should be observed and addressed in order to reduce pathological processes, especially in vulnerable groups. It is advisable to promote resilience factors and to counteract risk factors with preventive and therapeutic measures. For this purpose, the development and empirical testing of specific interventions as well as further longitudinal studies are needed.

Trajectories of post-traumatic stress symptoms, anxiety, and depression in hospitalized COVID-19 patients: A one-month follow-up

OBJECTIVES

Little is known about the mental health outcomes of hospitalized COVID-19 patients. The aims of the study were: (1) to examine the trajectories of anxiety, depression, and pandemic-related stress factors (PRSF) of COVID-19 hospitalized patients one-month following hospitalization; (2) to assess the presence of post-traumatic stress symptoms (PTSS) a month after hospitalization; (3) to identify baseline risk and protective factors that would predict PTSS one month after hospitalization.

METHODS

We contacted hospitalized COVID-19 patients (n = 64) by phone, at three time-points: during the first days after admission to the hospital (T1); after ~two weeks from the beginning of hospitalization (T2), and one month after hospitalization (T3). At all time-points we assessed the levels of anxiety and depression symptoms, as well as PRSF. At T3, PTSS were assessed.

RESULTS

The levels of depressive and anxiety symptoms decreased one-month following hospitalization. Moreover, higher levels of anxiety (standardized β = 1.15, 95% CI = 0.81-1.49, p < 0.001) and depression (β = 0.97, 95% CI = 0.63-1.31 p < 0.001) symptoms during the first week of hospitalization, feeling socially disconnected (β = 0.59, 95% CI = 0.37-0.81 p < 0.001) and experiencing a longer hospitalization period (β = 0.25, 95% CI = 0.03-0.47 p = 0.026) predicted higher PTSS scores a month post-hospitalization.

CONCLUSIONS

We identified early hospitalization risk factors for the development of PTSS one month after hospitalization that should be targeted to reduce the risk for PTSS.

Neuropsychiatric Complications of COVID-19

PURPOSE OF REVIEW

To describe the presentation, etiologies, and suggested management of post-acute COVID-19 neuropsychiatric symptoms.

RECENT FINDINGS

Over 30% of patients hospitalized with COVID-19 may exhibit cognitive impairment, depression, and anxiety that persist for months after discharge. These symptoms are even more common in patients who required intensive care for severe effects of the virus. In addition to the pandemic-related psychological stress, multiple biological mechanisms have been proposed to understand the neuropsychiatric symptoms observed with COVID-19. Given limited research regarding effective interventions, we recommend pharmacologic and behavioral strategies with established evidence in other medically-ill populations. Long-term, neuropsychiatric complications of COVID-19 are common and consequential. Because these are likely to co-occur with other medical problems, patients recovering from COVID-19 are best managed in clinics with highly coordinated care across disciplines and medical specialties. Future research is needed to inform appropriate interventions.

The prevalence of depression, anxiety, and sleep disturbances in COVID-19 patients: a meta-analysis

Evidence from previous coronavirus outbreaks has shown that infected patients are at risk for developing psychiatric and mental health disorders, such as depression, anxiety, and sleep disturbances. To construct a comprehensive picture of the mental health status in COVID-19 patients, we conducted a systematic review and random-effects meta-analysis to assess the prevalence of depression, anxiety, and sleep disturbances in this population. We searched MEDLINE, EMBASE, PubMed, Web of Science, CINAHL, Wanfang Data, Wangfang Med Online, CNKI, and CQVIP for relevant articles, and we included 31 studies (n = 5153) in our analyses. We found that the pooled prevalence of depression was 45% (95% CI: 37-54%, I2  = 96%), the pooled prevalence of anxiety was 47% (95% CI: 37-57%, I2  = 97%), and the pooled prevalence of sleeping disturbances was 34% (95% CI: 19-50%, I2  = 98%). We did not find any significant differences in the prevalence estimates between different genders; however, the depression and anxiety prevalence estimates varied based on different screening tools. More observational studies assessing the mental wellness of COVID-19 outpatients and COVID-19 patients from countries other than China are needed to further examine the psychological implications of COVID-19 infections.

Anxiety levels in patients admitted to the emergency department with myocardial infarction or COVID-19 pneumonia

The COVID-19 related high morbidity and mortality have led to a common fear and anxiety. This study aimed to determine the state/trait and death anxiety levels of patients with myocardial infarction (MI) and COVID-19 pneumonia. The study was conducted at the emergency department of a tertiary hospital in Central Anatolia of Turkey. 120 patients with myocardial infarction , 120 patients with COVID-19 pneumonia, and 120 healthy volunteers as a control group were included in the study. The participants filled out the questionnaire that included the State-Trait Anxiety Inventory (STAI) and the Thorson-Powell's Revised Death Anxiety Scale (RDAS). All scores of patient groups were significantly higher than the control group. There was no significant difference in terms of STAI-S, STAI-T, and RDAS scores between COVID-19 pneumonia and MI groups. The anxiety risk increased 2.14-fold for STAI-T and 1.97-fold for STAI-S in patients with COVID-19 pneumonia compared to the control group. In this study, the state/trait and death anxiety levels of patients with COVID-19 pneumonia were as high as patients with myocardial infarction.COVID-19 pneumonia-related anxiety was associated with chronic diseases and smoking. Knowing the level of anxiety in these patients is important to provide better health services in the emergency departments.

Gender Differences in Anxiety, Depression, and Nursing Needs Among Isolated Coronavirus Disease 2019 Patients

OBJECTIVE

This study explored gender differences in anxiety, depression, and nursing needs among isolated Coronavirus Disease 2019 (COVID-19) patients, with a particular focus on the influencing factors. The main goal was to elucidate breakthrough points and intervention targets for psychological counseling aimed at the promotion of overall health during isolation treatment.

METHODS

A survey was conducted to obtain information about the nursing needs of COVID-19 patients, with mental health assessed via the Hospital Anxiety and Depression Scale (HADS). Participants included 219 isolated COVID-19 patients at a Wuhan module hospital in Hubei province, China.

RESULTS

A total of 216 valid questionnaires were collected (98.63% retrieval rate). Of these participants, 21.76% had anxiety symptoms, while 17.59% had depression symptoms. Colleagues infected with COVID-19 (OR = 3.896, 95%CI: 1.555-9.764, P = 0.004) were the main influencing factors for anxiety symptoms, while marital status (OR = 2.700, 95% CI: 1.033-7.055, P = 0.043) and family members infected with COVID-19 (OR = 2.969, 95% CI: 1.243-7.095, P = 0.014) were the main influencing factors for depression symptoms. As for gender, male patients were generally more prone to depression and anxiety than female patients, especially those who were infected with colleagues. On the other hand, female patients reported greater concerns about safe treatment environments and communication with medical staff.

CONCLUSION

This study found gender-based differences regarding the factors influencing anxiety and depression in isolated COVID-19 patients, with males reporting a greater general tendency for symptoms. On the other hand, female patients reported greater overall psychological nursing needs than males. Targeted nursing should thus be implemented to address specific psychological characteristics and nursing needs.

Prevalence of anxiety and depression symptoms, and association with epidemic-related factors during the epidemic period of COVID-19 among 123,768 workers in China: A large cross-sectional study

BACKGROUND

COVID-19 has gained intense attention globally. However, little is known about the COVID-19-ralated mental health status among workers.

METHODS

The cross-sectional online survey with 123,768 workers was conducted from February 2, 2020 to February 7, 2020 on a mega-size labor-intensive factory in Shenzhen, China. Oral consent was obtained prior to the questionnaire survey. The information collected in the survey included demographic characteristics, psychological symptoms, COVID-19-related information, and demands for psychological education and interventions. Symptoms of anxiety and depression were measured by the Zung's Self-Rating Anxiety Scale and Self-Rating Depression Scale. Logistic regression models were performed to determine the association between related factors and mental health status.

RESULTS

The prevalence of anxiety and depression symptoms was 3.4% and 22.8%, respectively. The dominant epidemic-related factors were having confirmed cases in the community (odds ratio [OR], 2.75, 95% CI, 2.37-3.19) and having confirmed friends (OR, 2.44; 95% CI, 1.69-3.52) for the increased risk of anxiety and depression symptoms, respectively. Nevertheless, major traditional risk factors such as general or poor health status and always drinking alcohol were still the dominant factors associated with the increased risk of anxiety and depression symptoms. Overall, 67.3% and 26.8% workers reported desire for psychological education and interventions, respectively.

LIMITATIONS

All assessments were self-reported, resulting in a risk of method bias.

CONCLUSIONS

Our findings show a relatively low prevalence of anxiety symptoms, a relatively high prevalence of depression symptoms, and urgent demand for psychological education and interventions among workers during the COVID-19 outbreak.

Updated guidance on the management of COVID-19: from an American Thoracic Society/European Respiratory Society coordinated International Task Force (29 July 2020)

BACKGROUND

Coronavirus disease 2019 (COVID-19) is a disease caused by severe acute respiratory syndrome-coronavirus-2. Consensus suggestions can standardise care, thereby improving outcomes and facilitating future research.

METHODS

An International Task Force was composed and agreement regarding courses of action was measured using the Convergence of Opinion on Recommendations and Evidence (CORE) process. 70% agreement was necessary to make a consensus suggestion.

RESULTS

The Task Force made consensus suggestions to treat patients with acute COVID-19 pneumonia with remdesivir and dexamethasone but suggested against hydroxychloroquine except in the context of a clinical trial; these are revisions of prior suggestions resulting from the interim publication of several randomised trials. It also suggested that COVID-19 patients with a venous thromboembolic event be treated with therapeutic anticoagulant therapy for 3 months. The Task Force was unable to reach sufficient agreement to yield consensus suggestions for the post-hospital care of COVID-19 survivors. The Task Force fell one vote shy of suggesting routine screening for depression, anxiety and post-traumatic stress disorder.

CONCLUSIONS

The Task Force addressed questions related to pharmacotherapy in patients with COVID-19 and the post-hospital care of survivors, yielding several consensus suggestions. Management options for which there is insufficient agreement to formulate a suggestion represent research priorities.

Anxiety Status and Influencing Factors of Rural Residents in Hunan During the Coronavirus Disease 2019 Epidemic: A Web-Based Cross-Sectional Survey

Objective: To explore the status quo of anxiety and its influencing factors among rural residents in Hunan Province during the coronavirus disease 2019 epidemic, and to provide an effective basis for prevention of and intervention for anxiety symptoms among rural residents. Methods: Convenience sampling was used. An online questionnaire was distributed to Hunan rural residents through the questionnaire star platform from February 26-29, 2020. The general data and anxiety of Hunan rural residents were investigated, and the data were analyzed using SPSS 18.0. Results: The mean Self-Rating Anxiety Scale score of 179 rural residents in Hunan was 40.93 ± 9.36. Based on the cutoff criteria, 32 residents had anxiety, including 26 with mild anxiety, five with moderate anxiety, and one with severe anxiety. The detection rate of anxiety was 17.88%. Self-rated health status, level of concern about the epidemic, and self-rated impact of the epidemic on one's life were the factors influencing the anxiety score of rural residents in Hunan (P < 0.05). Conclusion: During the coronavirus disease 2019 epidemic, the detection rate of anxiety in rural residents in Hunan was higher than that of the general population in China. The relevant departments should pay attention to the mental health of rural residents and implement targeted mental health prevention and intervention measures during the epidemic situation.