Comparison of Brain Activation Patterns during Olfactory Stimuli between Recovered COVID-19 Patients and Healthy Controls: A Functional Near-Infrared Spectroscopy (fNIRS) Study

Current landscape of long COVID clinical trials

Long COVID was reported as a multi-systemic condition after the infection of SARS-CoV-2, and more than 65 million people are suffering from this disease. It has been noted that around 10% of severe SARS-CoV-2 infected individuals are suffering from the enduring effects of long COVID. The symptoms of long COVID have also been noted in several mild or asymptomatic SARS-CoV-2 infected individuals. While limited reports on clinical trials investigating new therapeutics for long COVID exist, there is an abundance of scattered information available regarding these trials. This review explores the extensive literature search, and complete clinical trial database search to map the current status of long COVID clinical trials worldwide. The study listed about 110 long COVID clinical trials. In addition to conducting extensive long COVID clinical trials, we have comprehensively presented an overview of the condition, its symptoms, notable manifestations, associated clinical trials, the unique challenges it poses, and our recommendations for addressing long COVID.

Post-acute COVID-19 syndrome in previously hospitalized patients

INTRODUCTION

With the prolongation of the COVID-19 pandemic, more individuals are experiencing sequelae after COVID-19 infection, also known as post-acute COVID-19 syndrome (PCS). The aims of this study were to describe the prevalence and characteristics of PCS symptoms such as fatigue, anxiety, and depression and to compare these symptoms according to participant characteristics in patients who had been previously hospitalized due to COVID-19.

DESIGN

A descriptive cross-sectional study design was used.

METHODS

We included 114 individuals who had been hospitalized for COVID-19 and were discharged from the hospital at least 4 weeks before. Symptoms were assessed using the Fatigue Severity Scale, the Hospital Anxiety-Depression Scale, and the PCS symptom questionnaire developed by the authors. We used descriptive statistics, the Student's t-test, the Wilcoxon rank-sum test, and the Kruskal-Wallis test for statistical analyses.

RESULTS

The most prevalent symptoms were anxiety (66.7%), fatigue (64.0%), headache (57.9%), and concentration or memory difficulties (57.9%). Concentration or memory difficulties and sleep disturbances had the highest mean frequency. Concentration or memory difficulties were rated with the highest mean severity, and cough, loss of taste, and muscle and joint pain had the highest mean distress scores. Female participants, individuals hospitalized for more than 2 weeks, individuals discharged more than 9 months ago, unvaccinated patients, and those who tried at least one symptom relief method reported higher symptom distress.

CONCLUSION

The findings of this investigation into the frequency, severity, and distress of symptoms shed light on the identification of post-COVID symptoms in detail. To objectively evaluate and comprehend the symptom trajectories of PCS, prospective studies about the development of symptom assessment tools and studies with a longitudinal design should be conducted.

CLINICAL RELEVANCE

A substantial number of respondents reported numerous symptoms and expressed symptom distress; therefore, the development of nursing interventions and treatments to alleviate PCS symptoms is crucial.

Association of SARS-CoV-2 infection with neurological impairments in pediatric population: A systematic review

Neurological manifestations have been widely reported in adults with COVID-19, yet the extent of involvement among the pediatric population is currently poorly characterized. The objective of our systematic review is to evaluate the association of SARS-CoV-2 infection with neurological symptoms and neuroimaging manifestations in the pediatric population. A literature search of Cochrane Library; EBSCO CINAHL; Global Index Medicus; OVID AMED, Embase, Medline, PsychINFO; and Scopus was conducted in accordance with the Peer Review of Electronic Search Strategies form (October 1, 2019 to March 15, 2022). Studies were included if they reported (1) COVID-19-associated neurological symptoms and neuroimaging manifestations in individuals aged <18 years with a confirmed, first SARS-CoV-2 infection and were (2) peer-reviewed. Full-text reviews of 222 retrieved articles were performed, along with subsequent reference searches. A total of 843 no-duplicate records were retrieved. Of the 19 identified studies, there were ten retrospective observational studies, seven case series, one case report, and one prospective cohort study. A total of 6985 individuals were included, where 12.8% (n = 892) of hospitalized patients experienced neurocognitive impairments which includes: 1) neurological symptoms (n = 294 of 892, 33.0%), 2) neurological syndromes and neuroimaging abnormalities (n = 223 of 892, 25.0%), and 3) other phenomena (n = 233 of 892, 26.1%). Based on pediatric-specific cohorts, children experienced more drowsiness (7.3% vs. 1.3%) and muscle weakness (7.3% vs. 6.3%) as opposed to adolescents. Agitation or irritability was observed more in children (7.3%) than infants (1.3%). Our findings revealed a high prevalence of immune-mediated patterns of disease among COVID-19 positive pediatric patients with neurocognitive abnormalities.

Evaluating the effectiveness of applying aroma seals to masks in reducing stress caused by wearing masks: A randomized controlled trial

During the COVID-19 pandemic, face masks on patients and healthy people have been recommended to prevent airborne transmission of the virus. This increased the number of people who felt stressed while wearing masks. In this study, we investigated the stress-relieving effects of attaching aroma seals to masks. A double-blind, randomized controlled trial was conducted involving 62 university students. The participants were randomly assigned to two groups and instructed to apply a seal to their masks once a day throughout the study period. The primary measure used was the Depression, Anxiety, and Stress Scale-21 (DASS-21), while the secondary measures included the assessment of breathlessness associated with mask-wearing and the World Health Organization Five Well-Being Index (WHO-5). The intervention group, referred to as the aroma-seal use group, utilized aroma seals infused with orange-lime essential oil with the expectation of experiencing the healing effects of citrus. On the other hand, the non-intervention group, known as the placebo-seal use group, utilized identical seals without any aroma. Results indicated that the aroma-seal use group exhibited significant improvements in both the total DASS-21 scores and depression scores compared to their baseline values by the second week of the intervention. Furthermore, the aroma-seal use group demonstrated a reduced occurrence of breathlessness while wearing masks compared to the placebo-seal group. Additionally, when assessing the item "I have felt calm and relaxed" from the WHO-5 questionnaire, the aroma-seal use group displayed significantly higher scores than the placebo group. Therefore, using aroma seals containing orange-lime essential oil could be beneficial in relieving mental stress and reducing breathlessness while wearing a mask, thus improving mental health.

The trends of psychosomatic symptoms and perceived stress among healthcare workers during the COVID-19 pandemic in China: Four cross-sectional nationwide surveys, 2020-2023

An unseen wave of vast infection was detected in China in December 2022, and healthcare workers faced inevitable challenges and heavy stress. We aimed to present a dynamic mental health map and, most importantly, provide a timely report of the current situation in healthcare workers. The current study conducted four national cross-sectional online surveys from February and March 2020, Apr 2022, and Jan 2023. The Psychosomatic Symptom Scale (PSSS) and Perceived Stress Scale-10 (PSS-10) were used to assess psychosomatic symptoms and perceived stress. Fourteen thousand nine hundred forty-five participants (8578 healthcare workers and 6367 others) participated in the surveys. The prevalence of psychosomatic syndrome, reflected by PSSS, was 19.3% (Wave1), 22.9% (Wave2), 36.4% (Wave3), and 60.7% (Wave4) among healthcare workers, compared to 24.0% (Wave1), 35.7% (Wave2), 34.2% (Wave3) and 50.5% (Wave4) among the others. In addition, healthcare workers exhibited lower PSSS total scores at the beginning but higher in later waves. Despite their infection status, they now suffer from more severe psychosomatic symptoms than the rest of society. Our findings suggest that healthcare workers in China have now experienced severe psychosomatic symptoms and tremendous stress. Therefore, there is an urgent need to utilize social support for them.

Prevalence and factors associated with long COVID and mental health status among recovered COVID-19 patients in southern Thailand

Mental health disorders have become a growing public health concern among individuals recovering from COVID-19. Long COVID, a condition where symptoms persist for an extended period, can predict psychological problems among COVID-19 patients. This study aimed to investigate the prevalence of long COVID and mental health status among Thai adults who had recovered from COVID-19, identify the association between the mental health status and long COVID symptoms, and investigate the risk factors associated with the correlation between long COVID and mental health outcomes. A cross-sectional study was conducted among 939 randomly selected participants in Nakhon Si Thammarat province, southern Thailand. The Depression, Anxiety, and Stress Scale-21 was used to investigate mental health symptoms, and a checklist comprised of thirteen common symptoms was used to identify the long COVID among participants. Logistic regression models were used to investigate the risk factors associated with mental health status and long COVID symptoms among participants. Among the 939 participants, 104 (11.1%) had depression, 179 (19.1%) had anxiety, and 42 (4.8%) were stressed. A total of 745 participants (79.3%) reported experiencing at least one symptom of long COVID, with fatigue (72.9%, SE±0.02), cough (66.0%, SE±0.02), and muscle pain (54.1%, SE±0.02) being the most frequently reported symptoms. All long COVID symptoms were significantly associated with mental health status. Shortness of breath, fatigue, and chest tightness were the highest risk factors for mental health status among COVID-19 patients. The final multivariable model indicated that female patients (OR = 1.89), medical history (OR = 1.92), and monthly income lower than 5,000 Thai baht (OR = 2.09) were associated with developing long COVID symptoms and mental health status (all p<0.01). This study provides valuable insights into the potential long-term effects of COVID-19 on mental health and enhances understanding of the mechanisms underlying the condition for predicting the occurrence of mental health issues in Thai COVID-19 patients.

Functional near-infrared spectroscopy of medical students answering various item types

Background

Traditionally, the effect of assessment item types including true/false questions (TFQs), multiple-choice questions (MCQs), short answer questions (SAQs), and case scenario questions (CSQs) is examined through psychometric qualities or student interviews. However, brain activity while answering such questions or items remains unknown. Functional near-infrared spectroscopy (fNIRS) can be used to safely measure cerebral cortex hemodynamic response during various tasks. Hence, this fNIRS study aimed to determine differences in frontotemporal cortex activity as medical students answered TFQs, MCQs, SAQs, and CSQs.

Methods

In total, 24 medical students (13 males and 11 females) were recruited in this study during their mid-psychiatry posting. Oxy-hemoglobin and deoxy-hemoglobin levels in the frontal and temporal regions were measured with a 52-channel fNIRS system. Participants answered 9-18 trials under each of the four types of tasks that were based on their psychiatry curriculum during fNIRS measurements. The area under the oxy-hemoglobin curve (AUC) for each participant and each item type was derived. Repeated measures ANOVA with post-hoc Bonferroni-corrected pairwise comparisons were used to determine differences in oxy-hemoglobin AUC between TFQs, MCQs, SAQs, and CSQs.

Results

Oxy-hemoglobin AUC was highest during the CSQs, followed by SAQs, MCQs, and TFQs in both the frontal and temporal regions. Statistically significant differences between different types of items were observed in oxy-hemoglobin AUC of the frontal region (p ≤ 0.001). Oxy-hemoglobin AUC in the frontal region was significantly higher during the CSQs than TFQ (p = 0.005) and during the SAQ than TFQ (p = 0.025). Although the percentage of correct responses was significantly lower in MCQ than in the other item types, there was no correlation between the percentage of correct response and oxy-hemoglobin AUC in both regions for all four item types (p > 0.05).

Conclusion

CSQs and SAQs elicited greater hemodynamic response than MCQs and TFQs in the prefrontal cortex of medical students. This suggests that more cognitive skills may be required to answer CSQs and SAQs.

Psychological symptoms and correlates of Chinese healthcare professionals in the intensive care unit before and after the COVID-19 outbreak: A comparison of two cross-sectional studies

BACKGROUND

The outbreak of COVID-19 disarranged lives across mainland China. No study has examined changes in psychological symptoms of healthcare professionals in the intensive care unit (ICU) before and after the outbreak of COVID-19. The aim of this study was to estimate changes in psychological symptoms of ICU healthcare professionals before and after the COVID-19 outbreak, and to analyze factors related to psychological symptoms.

METHODS

Two waves' administrations were implemented between December 13 and December 14, 2018, and between April 5 and April 7, 2020, respectively. The symptom checklist-90 (SCL-90) were used to evaluate psychological symptoms. Multiple logistical regression was used to reveal the risk of psychological symptoms.

RESULTS

A total of 3902 and 3908 ICU healthcare professionals took part in the first and second surveys. The mean total score of the SCL-90 was 179.27 (70.02) at wave 1 and 147.75 (58.40) at wave 2, respectively. The proportion of psychological symptoms was 55.6 % (95%CI = 54.0-57.1) at wave 1. But rates of psychological symptoms decreased to 36.6 % (95%CI = 35.1-38.2) at wave 2. ICU healthcare professionals with western economic belt and 6-10 years of work were more likely to develop psychological symptoms, while ICU healthcare professionals with the later survey and doctoral degree were less likely to develop psychological symptoms.

CONCLUSION

Although COVID-19 period benefited psychological symptoms of ICU healthcare professionals, psychological symptoms still had a related high prevalence. Regular screening and appropriate interventions should still be implemented to decrease the risk for psychological symptoms among Chinese ICU healthcare professionals.

The psychological impact of the COVID-19 pandemic in the elderly in southwest China: A longitudinal study based on generalized estimating equations

The objectives of this study were to assess the trends in anxiety and depression levels in older adults nearly 10 months after the outbreak of coronavirus disease 2019 (COVID-19) and explore its determinants. A longitudinal study was performed between October 2019 and December 2020. The Patient Health Questionnaire 9-Item Scale and the Generalized Anxiety Disorder 7-Item Scale were used to assess depression and anxiety. Data were collected before (wave 1), during (wave 2), and 10 months after the COVID-19 outbreak (wave 3). The prevalence of depressive symptoms in the elderly was found to be 18.9%, 28.1%, and 35.9% at wave 1, wave 2, and wave 3 respectively. The prevalence of depressive symptoms at wave 1 was lower than that at wave 2 (χ ²  = 15.544, P < 0.001) and wave 3 (χ ² = 44.878, P < 0.001). There was no significant change in the prevalence of anxious symptoms (wave 1, 28.5%, wave 2, 30.3%, and wave 3, 30.3%). Older adults who were single/divorced/widowed had higher levels of anxiety compared with those who were married (OR = 2.306 95%CI 1.358-3.914, P = 0.002). The pandemic appeared to be associated with increases in depressive symptoms in older persons. Targeted interventions could be carried out among those with higher risk of maladjustment.

Automated Classification of Brain Tumors from Magnetic Resonance Imaging Using Deep Learning

Brain tumor classification is crucial for medical evaluation in computer-assisted diagnostics (CAD). However, manual diagnosis of brain tumors from magnetic resonance imaging (MRI) can be time-consuming and complex, leading to inaccurate detection and classification. This is mainly because brain tumor identification is a complex procedure that relies on different modules. The advancements in Deep Learning (DL) have assisted in the automated process of medical images and diagnostics for various medical conditions, which benefits the health sector. Convolutional Neural Network (CNN) is one of the most prominent DL methods for visual learning and image classification tasks. This study presents a novel CNN algorithm to classify the brain tumor types of glioma, meningioma, and pituitary. The algorithm was tested on benchmarked data and compared with the existing pre-trained VGG16, VGG19, ResNet50, MobileNetV2, and InceptionV3 algorithms reported in the literature. The experimental results have indicated a high classification accuracy of 98.04%, precision, recall, and f1-score success rate of 98%, respectively. The classification results proved that the most common kinds of brain tumors could be categorized with a high level of accuracy. The presented algorithm has good generalization capability and execution speed that can be helpful in the field of medicine to assist doctors in making prompt and accurate decisions associated with brain tumor diagnosis.

Association of SARS-CoV-2 Infection with Neurological Symptoms and Neuroimaging Manifestations in the Pediatric Population: A Systematic Review

Background

Neurological manifestations have been widely reported in adults with COVID-19, yet the extent of involvement among the pediatric population is currently poorly characterized. The objective of our systematic review is to evaluate the association of SARS-CoV-2 infection with neurological symptoms and neuroimaging manifestations in the pediatric population.

Methods

A literature search of Cochrane Library; EBSCO CINAHL; Global Index Medicus; OVID AMED, Embase, Medline, PsychINFO; and Scopus was conducted in accordance with the Peer Review of Electronic Search Strategies form (October 1, 2019 to March 15, 2022). Studies were included if they reported (1) COVID-19-associated neurological symptoms and neuroimaging manifestations in individuals aged < 18 years with a confirmed, first SARS-CoV-2 infection and were (2) peer-reviewed. Full-text reviews of 222 retrieved articles were performed, along with subsequent reference searches.

Results

A total of 843 nonduplicate records were retrieved. Of the 19 identified studies, there were ten retrospective observational studies, seven case series, one case report, and one prospective cohort study. A total of 6,985 individuals were included, where 12.8% of hospitalized patients experienced neurocognitive impairments: MIS-C (24.2%), neuroinflammation (10.1%), and encephalopathy (8.1%) were the most common disorders; headaches (16.8%) and seizures (3.8%) were the most common symptoms. Based on pediatric-specific cohorts, children experienced more drowsiness (7.3% vs. 1.3%) and muscle weakness (7.3% vs. 6.3%) as opposed to adolescents. Agitation or irritability was observed more in children (7.3%) than infants (1.3%).

Conclusion

Our findings revealed a high prevalence of immune-mediated patterns of disease among COVID-19 positive pediatric patients with neurocognitive abnormalities.

Neurocognitive and psychiatric symptoms following infection with COVID-19: Evidence from laboratory and population studies

Objective

The objective of the current investigation was to examine associations between symptomatic COVID-19 history, neurocognitive function, and psychiatric symptoms using cognitive task performance, functional brain imaging, and a prospective population survey.

Methods

Study 1 was a laboratory study conducted between 3 May 2022 and 16 Nov 2022 involving 120 fully vaccinated community dwelling adults between 18 and 84 years of age (Mage = 31.96 (SD = 20.71), 63.3% female). In this cross-sectional study we examined the association between symptomatic COVID-19 infection history and performance on three computer tasks assessing cognitive function (Flanker interference, delay discounting and simple reaction time) and measured oxygen saturation within the prefrontal cortex using functional near infrared spectroscopy (fNIRS). Study 2 was a 2-wave population survey undertaken between 28 September 2021 and 21 March 2022, examining the prospective relationship between symptomatic COVID-19 and self-reported symptoms of cognitive dysfunction, depressive symptoms, anxiety symptoms, and agitation at 6-month follow up. The sample (N = 2,002, M _age = 37.0, SD = 10.4; 60.8% female) was collected using a quota process to ensure equal numbers of vaccinated and unvaccinated individuals. Structural equation modelling with latent variables was performed on the population-level data, evaluating the fit of the proposed mediational model of symptomatic COVID-19 to psychiatric symptoms through cognitive dysfunction.

Results

Findings from Study 1 revealed significant effects of symptomatic COVID-19 history on Flanker interference and delay discounting. Effects on flanker performance were significantly stronger among older adult women (effect: 9.603, SE = 4.452, t = 2.157, p = .033), and were accompanied by task-related changes cerebral oxygenation at the right superior frontal gyrus (F (1, 143.1) = 4.729, p = .031). Additionally, those with a symptomatic COVID-19 infection history showed evidence of amplified delay discounting (coefficient = 0.4554, SE = 0.2208, t = 2.0629, p = .041). In Study 2, baseline symptomatic COVID-19 history was associated with self-reported cognitive dysfunction and a latent variable reflecting psychiatric symptoms of anxiety, depression and agitation at follow-up. Mediational analyses revealed evidence of cognitive mediation of clinically significant psychiatric outcomes: depression (indirect effect = 0.077, SE = 0.026, p = .003) and generalized anxiety (indirect effect = 0.060, SE = 0.021, p = .004).

Conclusions

Converging findings from laboratory and population survey data support the conclusion that symptomatic COVID-19 infection is associated with task-related, functional imaging and self-reported indices of cognitive dysfunction as well as psychiatric symptoms. In some cases, these findings appear to be more amplified among women than men, and among older women than younger.

fNIRS neuroimaging in olfactory research: A systematic literature review

There are a number of key features which make olfaction difficult to study; subjective processes of odor detection, discrimination and identification, and individualistic odor hedonic perception and associated odor memories. In this systematic review we explore the role functional near-infrared spectroscopy (fNIRS) has played in understanding olfactory perception in humans. fNIRS is an optical neuroimaging technique able to measure changes in brain hemodynamics and oxygenation related to neural electrical activity. Adhering to PRISMA guidelines, results of this search found that generally the majority of studies involving healthy adult subjects observed increased activity in response to odors. Other population types were also observed, such as infants, individuals with autism, attention deficit hyperactivity disorder (ADHD), post-traumatic stress disorder (PTSD), mild cognitive impairment (MCI) and dysosmia. fNIRS coverage heavily favored the prefrontal cortex, temporal and parietal regions. This review finds that odor induced cortical activation is dependent on multiple factors, such as odorant type, gender and population type. This review also finds that there is room for improvement in areas such as participant diversity, use of wearable fNIRS systems, physiological monitoring and multi-distance channels.

Psychiatric and neurological complications of long COVID

COVID-19 was primarily considered a pulmonary disease with extrapulmonary manifestations. As the pandemic spread, there has been growing evidence that the disease affects various organs/systems, including the central and peripheral nervous systems. Accumulation of clinical data demonstrates that in a large population of survivors impairments in the function of one or more organs may persist for a long time, a phenomenon commonly known as post COVID or long COVID. Fatigue and cognitive dysfunction, such as concentration problems, short-term memory deficits, general memory loss, a specific decline in attention, language and praxis abilities, encoding and verbal fluency, impairment of executive functions, and psychomotor coordination, are amongst the most common and debilitating features of neuropsychatric symptoms of post COVID syndrome. Several patients also suffer from compromised sleep, depression, anxiety and post-traumatic stress disorder. Patients with long COVID may demonstrate brain hypometabolism, hypoperfusion of the cerebral cortex and changes in the brain structure and functional connectivity. Children and adolescents represent a minority of COVID-19 cases, so not surprisingly data on the long-term sequelae after SARS-CoV-2 infections in these age groups are scarce. Although the pathogenesis, clinical characteristics, epidemiology, and risk factors of the acute phase of COVID-19 have been largely explained, these areas are yet to be explored in long COVID. This review aims to provide an update on what is currently known about long COVID effects on mental health.

Novel diagnostic tools for identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy: patient-level, single-group, diagnostic trial

Introduction

Basic studies suggest that olfactory dysfunction and functional near-infrared spectroscopy (fNIRS) can be used as tools for the diagnosis of mild cognitive impairment (MCI); however, real-world evidence is lacking. We investigated the potential diagnostic efficacy of olfactory-stimulated fNIRS for early detection of MCI and/or Alzheimer disease (AD).

Methods

We conducted a patient-level, single-group, diagnostic interventional trial involving elderly volunteers (age >60 years) suspected of declining cognitive function. Patients received open-label olfactory-stimulated fNIRS for measurement of oxygenation difference in the orbitofrontal cortex. All participants underwent amyloid PET, MRI, Mini-Mental State Examination (MMSE), and Seoul Neuropsychological Screening Battery (SNSB).

Results

Of 97 subjects, 28 (28.9%) were cognitively normal, 32 (33.0%) had preclinical AD, 21 (21.6%) had MCI, and 16 (16.5%) had AD. Olfactory-stimulated oxygenation differences in the orbitofrontal cortex were associated with cognitive impairment; the association was more pronounced with cognitive severity. Olfactory-stimulated oxygenation difference was associated with MMSE (adjusted β [aβ] 1.001; 95% CI 0.540−1.463), SNSB language and related function (aβ, 1.218; 95% CI, 0.020−2.417), SNSB memory (aβ, 1.963; 95% CI, 0.841−3.084), SNSB frontal/executive function (aβ, 1.715; 95% CI, 0.401−3.029) scores, standard uptake value ratio from amyloid PET (aβ, −10.083; 95% CI, −19.063 to −1.103), and hippocampal volume from MRI (aβ, 0.002; 95% CI, 0.001−0.004). Olfactory-stimulated oxygenation difference in the orbitofrontal cortex was superior in diagnosing MCI and AD (AUC, 0.909; 95% CI, 0.848−0.971), compared to amyloid PET (AUC, 0.793; 95% CI, 0.694−0.893) or MRI (AUC, 0.758; 95% CI, 0.644−0.871).

Discussion

Our trial showed that olfactory-stimulated oxygenation differences in the orbitofrontal cortex detected by fNIRS were associated with cognitive impairment and cognitive-related objectives. This novel approach may be a potential diagnostic tool for patients with MCI and/or AD.

Trial registration

CRIS number, KCT0006197.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13195-022-00978-w.

Identifying Lockdown Relaxation Strategies and Policy Implications to Fight against COVID-19: Medical Experts Perspective from Pakistan

The COVID-19 pandemic, was first identified in Wuhan, China, has had a drastic effect on the world economy and compelled governments to enforce lockdown in territories. However, lockdown is destroying the world economy badly as well as the physical and mental health of people. Therefore, governments must develop Lockdown Relaxation Strategies (LRS) to overcome the negative consequences of lockdown in Pakistan. Identifying LRS is important for public health and economic restoration. Therefore, this work is an initial attempt to develop LRS in a developing country - Pakistan, and prioritize LRS through a novel ISM-MICMAC approach. By taking response from experts, results show that implementation of smart lockdowns in affected areas, meeting minimum criteria of public health standards, limited operations of public transportation are the most important strategies. Results provide a strategic guideline for governments to take necessary measures and allocate resources appropriately.

Neuropsychiatric sequelae of long COVID-19: Pilot results from the COVID-19 neurological and molecular prospective cohort study in Georgia, USA

Background

As the coronavirus disease 2019 (COVID-19) pandemic continues, there has been a growing interest in the chronic sequelae of COVID-19. Neuropsychiatric symptoms are observed in the acute phase of infection, but there is a need for accurate characterization of how these symptoms evolve over time. Additionally, African American populations have been disproportionately affected by the COVID-19 pandemic. The COVID-19 Neurological and Molecular Prospective Cohort Study in Georgia (CONGA) was established to investigate the severity and chronicity of these neurologic findings over the five-year period following infection.

Methods

The CONGA study aims to recruit COVID-19 positive adult patients in Georgia, United States from both the inpatient and outpatient setting, with 50% being African American. This paper reports our preliminary results from the baseline visits of the first 200 patients recruited who were on average 125 days since having a positive COVID-19 test. The demographics, self-reported symptoms, comorbidities, and quantitative measures of depression, anxiety, smell, taste, and cognition were analyzed. Cognitive measures were compared to demographically matched controls. Blood and mononuclear cells were drawn and stored for future analysis.

Results

Fatigue was the most reported symptom in the study cohort (68.5%). Thirty percent of participants demonstrated hyposmia and 30% of participants demonstrated hypogeusia. Self-reported neurologic dysfunction did not correlate with dysfunction on quantitative neurologic testing. Additionally, self-reported symptoms and comorbidities were associated with depression and anxiety. The study cohort performed worse on cognitive measures compared to demographically matched controls, and African American patients scored lower compared to non-Hispanic White patients on all quantitative cognitive testing.

Conclusion

Our results support the growing evidence that there are chronic neuropsychiatric symptoms following COVID-19 infection. Our results suggest that self-reported neurologic symptoms do not appear to correlate with associated quantitative dysfunction, emphasizing the importance of quantitative measurements in the complete assessment of deficits. Self-reported symptoms are associated with depression and anxiety. COVID-19 infection appears to be associated with worse performance on cognitive measures, though the disparity in score between African American patients and non-Hispanic White patients is likely largely due to psychosocial, physical health, and socioeconomic factors.

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Neuropsychiatric symptoms are often reported following COVID-19 infection.

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Self-reported symptoms may not be associated with objective dysfunction.

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Self-reported symptoms may be associated with depression and anxiety.

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Cognitive testing may overestimate clinical impairment in disadvantaged populations.

Mental health symptoms one year after acute COVID-19 infection: Prevalence and risk factors

Introduction

Emerging evidence suggests that mental health symptoms in COVID-19 survivors are higher than expected, possibly indicating that such symptoms are more likely to develop post-infection than just persist as a residual component of the acute phase. It is thus imperative to investigate the potential development of a post-COVID mental health syndrome in the longer-term and identify its risk factors.

Material and methods

A prospective study investigated mental health symptoms associated with COVID-19 and its determinants over a 12-month period following the disease onset in all consecutive adult inpatients and outpatients with COVID-19 attending a tertiary referral hospital from March to May 2020.

Results

A total of 479 patients (female, 52.6%) were followed-up for 12 months after COVID-19 onset. Of them, 47.2% were still presenting with at least one symptom. While most symptoms subsided as compared to COVID-19 onset (all p < 0.001), a significant increase was observed only for symptoms of psychiatric disorders (10.2%) and lack of concentration and focus (20%; all p < 0.001). Patients presenting with symptoms related to multiple body systems 12 months after contracting COVID-19 (all p ≤ 0.034) were more likely to suffer from mental health domain-related symptoms at follow-up. Also, a higher risk of presenting with lack of concentration and focus 12 months post infection was found in those suffering of psychiatric symptoms at COVID-19 onset (p = 0.005).

Conclusions

Findings of this study may have important public health implications, as they underlie the increased need for mental health support in COVID-19 survivors.

Practical and psychological challenges faced by Wuhan graduates after COVID-19 was controlled

Introduction: This study seeks to understand the reality and psychological difficulties faced by university graduates in Wuhan after the COVID-19 epidemic was controlled. Methods: A total of 6,417 graduate students were surveyed through an online questionnaire from late May to early June 2020. The questionnaire asked questions on depression, anxiety, insomnia, and suicidal behavior. In addition, self-administered epidemic-related questionnaires consisting of eight items were collected from university graduates. Results: Participants' positive detection rates for depression, anxiety, insomnia, and suicidal behavior are 13.4%, 8.3%, 4.4%, and 12.1%, respectively. The three biggest challenges faced by graduates are future development, economic difficulties, and employment problems. Conclusion: The detectable rate of depression, anxiety, and insomnia is low, and the detectable rate of suicide symptoms should be given more attention. The biggest problem of this group is their future development, and what they want to solve the most is the economic difficulty.

Fear of COVID-19, psychological distress, well-being and life satisfaction: A comparative study on first and second waves of COVID-19 among college students in India

The aim of the study is to examine the relationship of fear of COVID-19 with well-being and life satisfaction through psychological distress among the college students in India. The study was conducted in two waves of the pandemic-during first and second waves of the COVID-19 among college students. A survey was conducted among 768 and 884 students in first and second waves of COVID-19 respectively for this purpose. Structural equation modeling was used to analyze the data. The study found out that the fear of COVID-19 positively related to psychological distress and negatively to well-being and life satisfaction and the effects were stronger in second wave. Also, the psychological distress mediates the relationship between fear of COVID-19 with well-being and life satisfaction, and the relationships were stronger during second wave. Proper coping strategies and mechanisms can be helpful to overcome the difficulties of such situation.

Negative emotional symptoms during COVID19 confinement: The relationship with reading habits

Background

Coronavirus disease (COVID19) is an ongoing pandemic, which forced governments across the globe to implement confinement measures to limit the spread of the disease. These measures have impacted the daily life and psychological status of people. However, no studies have examined the relationship between changes in psychological status with reading habits during the COVID19 pandemic.

Objectives

The study aims at examining the relationship between changes in reading habits and negative emotional states.

Method

The psychological status was measured using the Depression, Anxiety, Stress Scales (DASS). In addition, the participants reported changes in four types of reading experiences during COVID19 confinement. These reading types are specialized, general knowledge, story/novels, and religious material. An internet-based survey was used to collect the data among adults.

Results

A total of 1711 individuals participated in the study. About 60.0%, 55.1%, 60.5% and 61.0% reported participating in scientific, religious, general, and novel reading, respectively. Additionally, the ANOVA revealed differences (p < 0.05) in DASS scores according to the changes in scientific, religious, newspaper, and novel/story reading. Subgroup post hoc comparisons showed that DASS scores were associated with a no-change or increase in all types of reading habits indicating a main effect of emotional state on all types of reading.

Conclusions

Current results might suggest that the participants who experienced greater negative emotions, tended to either not change or increase their reading habits. Additionally, individuals with lower negative emotion scores reported a decrease in reading during the COVID19 pandemic.

The psychological distress and COVID-19 pandemic during lockdown: A cross-sectional study from United Arab Emirates (UAE)

Background

The pandemic resulted in the societal changes as conflicts and instability were the common concerns experienced by families because of the lockdown. However, the psychological impact of the COVID-19 on the United Arab Emirates (UAE) population is not studied extensively.

Objective

The study evaluates the psychological impact of lockdown during the pandemic on the people in the UAE.

Material and methods

This study was cross-sectional in nature and was conducted using a questionnaire consisting of 35-items. The questions were related to social, psychological, and personal aspects. Multivariate Linear regression was used to find the outcomes between independent variables.

Results

The mean value of social phobia was 2.56 ± .620, followed by the mean score of anxiety (2.47 ± .666), stress (2.44 ± .631), and depression (2.42 ± .682). The higher the respondents experienced the scores, the more depression, anxiety, and stress. Demographics such as marital status, age, and occupation and education level have a statistically significant association with social phobia, anxiety, depression, and stress.

Conclusion

The study concludes that the lockdown more psychologically impacted males, older people, and unemployed individuals during the pandemic.

Physical activity to ameliorate the negative mental health effects of COVID-19-induced confinement

Mental health is strongly affected by physical (PA) and sedentary (SA) activity. In the current study, the relationships of PA and sedentary activity (SA) with mental status amid confinement caused by COVID-19 were examined. The study is self-reporting, survey-based, and cross-sectional in design. The study was conducted in Jordan and included 1744 participants (≥18 years old). The participants' mental status was obtained using the Depression-Anxiety-Stress Scale (DASS). The results showed involvement in both PA and SA during COVID-19-induced confinement. The involvement includes walking (77.2%), running (70.3%), cycling (84.9%), swimming (83.1%), sports (82.9%), weightlifting (86.4%), watching TV (79.4%), using electronics (86.3%), and logging to social media (85.1%). Lower DASS scores were associated (p < 0.05) with lower walking, running, and weightlifting but not (p > 0.05) with cycling and swimming PA. Additionally, DASS scores (p < 0.05) were associated with changes in television viewing but not (p > 0.05) with electronics and social media use during confinement. In conclusion, individuals who experienced higher levels of stress, anxiety, and depression were more likely to turn to more PA and less SA. These findings are important and suggest that individuals during confinement find PA a useful strategy to mitigate the negative mental effects of the pandemic.

Depression, stress, anxiety among jordanian people during COVID-19 pandemic: A survey-based study

COVID-19 pandemic is associated with negative impacts on mental health. The study investigated mental health measures that include depression, stress, and anxiety, and their correlation with gender and age among Jordanians in the COVID-19 era. This investigation adopted a quantitative, cross-sectional, and descriptive design and included 1587 subjects recruited through a convenient sampling approach. Jordanians (≥18 years old) were recruited in the study. The total DASS score of the whole sample was 32.7 ± 0.67. The DASS scale showed significantly high scores for stress, anxiety, and depression in the groups that perceived a moderate-high probability of infection with COVID-19 (P < 0.05). The stress score was greater (P < 0.001) in the men (11.39 ± 0.469) compared to the women (10.74 ± 0.33). On the other hand, anxiety and depression scores were higher in women than men (8.13 ± 0.25, and 12.71 ± 0.30 respectively). Finally, DASS total score significantly decreased with the increasing age of the participants (P < 0.001). Many Jordanians experienced moderate to severe depression, stress, and anxiety during the COVID-19 era. Such experience was associated with the sex and age of subjects. The results of this study will benefit decision-makers in establishing a plan to prevent the consequences of these mental disorders during pandemics.

Registered clinical trials investigating treatment of long COVID: a scoping review and recommendations for research

Background

A considerable proportion of individuals report persistent, debilitating and disparate symptoms despite resolution of acute COVID-19 infection (i.e. long COVID). Numerous registered clinical trials investigating treatment of long COVID are expected to be completed in 2021–2022. The aim of this review is to provide a scope of the candidate treatments for long COVID. A synthesis of ongoing long COVID clinical trials can inform methodologic approaches for future studies and identify key research vistas.

Methods

Scoping searches were conducted on multiple national and international clinical trial registries. Interventional trials testing treatments for long COVID were selected. The search timeline was from database inception to 28 July 2021.

Results

This scoping review included 59 clinical trial registration records from 22 countries with a total projected enrolment of 6718. Considerable heterogeneity was exhibited amongst component records with respect to the characterization of long COVID (i.e. name, symptoms- including frequency, intensity, trajectory and duration- mode of ascertainment, and definition of acute phase). In addition, the majority of proposed interventions were non-pharmacological and either targeted multiple long COVID symptoms simultaneously, or focussed on treatment of respiratory/pulmonary sequelae. Multiple interventions targeted inflammation, as well as tissue oxygenation and cellular recovery, and several interventions were repurposed from analogous conditions.

Conclusions

The results of this scoping review investigating ongoing clinical trials testing candidate treatments for long COVID suggest that a greater degree of definitional stringency and homogeneity is needed insofar as the characterization of long COVID and inclusion/exclusion criteria.

RESEARCH ARTICLEPrevalence and associated factors of depression, anxiety and stress among coronavirus disease 2019 (COVID-19) patients in Heart, Afghanistan

Objectives

Coronavirus disease 2019 (COVID-19) pandemic has been associated with a great level of psychological distresses in people around the world. This study aims to assess the prevalence of depression, anxiety and stress among COVID-19 patients and identify the associated factors, in Herat Province of Afghanistan.

Methods

This cross-sectional study was conducted on 459 hospitalized patients between May and September 2021. Data was collected with a structured questionnaire on depression, anxiety and stress scale, which was the validated Dari-version. Chi-square test was adopted to analyze the associations of the prevalence of the mental disorders and the factors.

Results

The mean age of participants was 38.05; 51.9% (238/459) were male and 84.1% (386/459) were married. Median scores for depression, anxiety and stress were 5.0, 8.0, and 10.0, respectively. Gender, general health condition, nutritional status, COVID-19 clinical manifestation and concurrent comorbidities (except diabetes and hypertension) were significantly associated with mental disorders; while association between marital status and these psychological disorders was not significant. Moreover, a significant difference was observed in the level of anxiety between healthcare workers and other respondents.

Conclusion

This is the first study to report the high prevalence of depression, anxiety and stress among COVID-19 patients in Herat, which indicates the negative effect of mental health for COVID-19 patients globally and highlights the need for urgent and appropriate interventions to improve mental health of people during the pandemic.

Online Mental Health Survey for Addressing Psychosocial Condition During the COVID-19 Pandemic in Indonesia: Instrument Evaluation

BACKGROUND

Regular monitoring of the pandemic's psychosocial impact could be conducted among the community but is limited through online media. This study aims to evaluate the self-rating questionnaire commonly used for online monitoring of the psychosocial implications of the coronavirus disease 2019 (COVID-19) pandemic.

METHODS

The data were taken from the online assessment results of two groups, with a total of 765 participants. The instruments studied were Self-Rating Questionnaire (SRQ-20), post-traumatic stress disorder (PTSD), and Center for Epidemiological Studies Depression Scale-10 (CESD-10), used in the online assessment. Data analysis used Rasch modeling and Winsteps applications. Validity and reliability were tested, and data were fit with the model, rating scale, and item fit analysis.

RESULTS

All the scales for outfit mean square (MnSq) were very close to the ideal value of 1.0, and the Chi-square test was significant. Item reliability was greater than 0.67, item separation was greater than 3, and Cronbach's alpha was greater than 0.60; all the instruments were considered very good. The raw variance explained by measures for the SRQ-20, PTSD, and CESD-10 was 30.7%, 41.6%, and 47.6%, respectively. The unexplained eigenvalue variances in the first contrast were 2.3, 1.6, and 2.0 for the SRQ-20, PTSD, and CESD-10, respectively. All items had positive point-measure correlations.

CONCLUSION

The internal consistency of all the instruments was reliable. Data were fit to the model as the items were productive for measurement and had a reasonable prediction. All the scales are functionally one-dimensional.

Prevalence of anxiety, depression, stress, and perceived stress and their relation with resilience during the COVID-19 pandemic, a cross-sectional study

Background and aims

Home quarantine and physical distancing at the time of coronavirus disease 2019 (COVID-19) had a severe effect on the mental health of the populations. Resilience has been reported previously to be a protective factor against anxiety, stress, and depression. This study evaluates the prevalence and severity of depression, anxiety, stress, and perceived stress and their relation with resilience associated with the COVID-19 pandemic among a sample of the general population in Southern Iran.

Methods

In this cross-sectional web-based survey, from April 12 to May 13, 2020, stress, anxiety, depression, perceived stress, and resilience were measured using the Persian version of Depression Anxiety and Stress Scale (DASS-21), Perceived Stress Scale (PSS-14), and Connor-Davidson Resilience Scale (CD-RISC). Statistical analyses were carried out using the IBM Statistical Package for Social Sciences. Mean ± standard deviation (SD) and frequencies were used to describe demographic data. Independent sample t-test, Spearman correlation, and the Pearson correlation coefficient were performed to examine anxiety, depression, stress, and resilience.

Results

Among a total of 538 participants, the overall prevalence of moderate-to-extremely severe depression, anxiety, and stress was found to be 26.1%, 33.2%, and 5.8%, respectively. The overall median PSS and resilience score were 30 and 70, respectively. There was a significant association between higher age and perceived stress. Male and high income were related to higher resilience scores. Perceived stress positively correlates with resilience, whereas depression significantly correlates with anxiety and stress. Individuals with underlying disease demonstrated significantly higher scores for depression and anxiety. Also, perceived stress had a significant but weak, positive correlation with age and the number of quarantine days.

Conclusion

The occurring COVID-19 pandemic could be the culprit of psychological distress, anxiety, and depression of large population quantities. Our results showed a subordinate overall resilience in the general Iranian population during the COVID-19 pandemic.

Early maladaptive schemas and COVID-19 anxiety: The mediational role of mistrustfulness and vulnerability to harm and illness

Background

Early maladaptive schemas (EMS), as lifelong psychological structures, tend to be associated with psychopathological symptomatology. Previous research has suggested that schemas act as psychological vulnerabilities to stressful life situations, such as the present worldwide COVID‐19 pandemic. In this context, anxiety and psychological distress have been documented as two of the main psychological symptoms associated with the COVID‐19 pandemic. However, the associations between specific EMS and COVID‐19 anxiety remain unexplored. Therefore, this study aims to explore the relationships between EMS, COVID‐19 anxiety as well as other mental health variables such as psychological well‐being, distress and life satisfaction.

Methods

In a cross‐sectional design, 249 individuals (M = 34.2, SD = 12.0) completed several self‐report measures.

Results

EMS from different schematic domains were positively associated with COVID‐19 anxiety and psychological distress and negatively associated with psychological well‐being and life satisfaction. An EMS hierarchical regression model predicted COVID‐19 anxiety. Mistrustfulness and vulnerability to harm and illness mediated the relationships between COVID‐19 anxiety, psychological distress and life satisfaction.

Conclusions

According to these results, mistrustfulness and vulnerability to harm and illness can act as underlying variables for the decrease in mental health associated with the COVID‐19 pandemic.

AI-Based Prediction and Prevention of Psychological and Behavioral Changes in Ex-COVID-19 Patients

The COVID-19 pandemic has adverse consequences on human psychology and behavior long after initial recovery from the virus. These COVID-19 health sequelae, if undetected and left untreated, may lead to more enduring mental health problems, and put vulnerable individuals at risk of developing more serious psychopathologies. Therefore, an early distinction of such vulnerable individuals from those who are more resilient is important to undertake timely preventive interventions. The main aim of this article is to present a comprehensive multimodal conceptual approach for addressing these potential psychological and behavioral mental health changes using state-of-the-art tools and means of artificial intelligence (AI). Mental health COVID-19 recovery programs at post-COVID clinics based on AI prediction and prevention strategies may significantly improve the global mental health of ex-COVID-19 patients. Most COVID-19 recovery programs currently involve specialists such as pulmonologists, cardiologists, and neurologists, but there is a lack of psychiatrist care. The focus of this article is on new tools which can enhance the current limited psychiatrist resources and capabilities in coping with the upcoming challenges related to widespread mental health disorders. Patients affected by COVID-19 are more vulnerable to psychological and behavioral changes than non-COVID populations and therefore they deserve careful clinical psychological screening in post-COVID clinics. However, despite significant advances in research, the pace of progress in prevention of psychiatric disorders in these patients is still insufficient. Current approaches for the diagnosis of psychiatric disorders largely rely on clinical rating scales, as well as self-rating questionnaires that are inadequate for comprehensive assessment of ex-COVID-19 patients' susceptibility to mental health deterioration. These limitations can presumably be overcome by applying state-of-the-art AI-based tools in diagnosis, prevention, and treatment of psychiatric disorders in acute phase of disease to prevent more chronic psychiatric consequences.

The relationship between anxiety, stress, spiritual health, and mindfulness among patients undergoing hemodialysis: A survey during the COVID-19 outbreak in Southeast Iran

BACKGROUND AND AIMS

Hemodialysis patients are prone to high stress and anxiety related to the acute coronavirus epidemic. Mindfulness and spiritual health are among the factors associated with stressful and anxious situations. The current study aimed to investigate the relationship between mindfulness, spiritual health, and coronavirus stress/anxiety in patients undergoing hemodialysis.

METHODS

One hundred and forty-four patients underwent hemodialysis participated in this cross-sectional study. Patients completed the Demographic and Clinical Characteristics Form, Corona Disease Anxiety Scale (CDAS), stress subscale of DASS-21, The Freiburg Mindfulness Inventory- Short Form (FMI-SF), and Spiritual Health Scale.

RESULTS

The results showed that 28.5% of the participants had moderate to severe anxiety. According to the psychological symptom subscale (CDAS), 54.2% of the participants had moderate to severe anxiety. According to the physical symptom subscale, 41.7% of the participants had moderate to severe anxiety. Sixteen percent of the patients believed that the coronavirus disease 2019 (COVID-19) outbreak and lockdown influenced their course of treatment. A significant association was found between coronavirus disease anxiety and mindfulness (r = -0.20, P < .05). No significant association was found between stress and mindfulness/spiritual health (P > .05).

CONCLUSION

The results of this study showed that coronavirus anxiety and stress are common in hemodialysis patients. Mindfulness may be effective in reducing coronavirus anxiety in hemodialysis patients. Therefore, interventions are suggested to increase the level of mindfulness and empower hemodialysis patients to cope with anxiety caused by crises such as the coronavirus outbreak.

Anxiety due to COVID-19 among healthcare providers during pandemic: A web-based cross-sectional survey in Iran

AIM

The main purpose of this study was to assess the levels of anxiety, depression, and stress among healthcare providers in Iran.

METHODS

This descriptive cross-sectional survey was performed on healthcare providers selected through the convenience sampling method from April 6 to May 19, 2020, during the COVID-19 pandemic. To this end, a self-report web-based questionnaire made up of a sociodemographic characteristics information form, Depression, Anxiety, and Stress Scale (DASS), and Corona Disease Anxiety Scale (CDAS) was distributed. Descriptive statistics, chi-square test (χ² ), and univariate and multivariate logistic regression models were accordingly practiced to analyze the data using the Statistical Package for Social Sciences (SPSS) software.

RESULTS

Of 1343 healthcare providers, 45.8% and 73.0% had moderate physical and psychological anxiety symptoms, respectively. The logistic regression model similarly demonstrated that anxiety caused by COVID-19 was significantly correlated with the age ranges of 41-50 (P = .007) and 51-60 (P = .014) years as well as male participants (P < .001). In addition, the prevalence rates of depression and stress were, respectively, reported by 35.1% and 27.8%. There was correspondingly a significant relationship between depression and age as well as stress and gender.

CONCLUSIONS

It seems that healthcare managers need to focus more attention on psychological aspects in healthcare providers during this pandemic and plan to teach them about coping strategies.