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

COVID-19 is associated with changes in brain function and structure: A multimodal meta-analysis of neuroimaging studies

The actual role of coronavirus disease 2019 (COVID-19) in brain damage has been increasingly reported, necessitating a meta-analysis to collate and summarize the inconsistent findings from functional imaging and voxel-based morphometry (VBM) studies. A comprehensive voxel-wise meta-analysis of the whole brain was conducted to identify alterations in functional activity and gray matter volume (GMV) between COVID-19 patients and healthy controls (HCs) by using Seed-based d Mapping software. We included 15 functional imaging studies (484 patients with COVID-19, 534 HCs) and 9 VBM studies (449 patients with COVID-19, 388 HCs) in the analysis. Overall, patients with COVID-19 exhibited decreased functional activity in the right superior temporal gyrus (STG) (extending to the right middle and inferior temporal gyrus, insula, and temporal pole [TP]), left insula, right orbitofrontal cortex (OFC) (extending to the right olfactory cortex), and left cerebellum compared to HCs. For VBM, patients with COVID-19, relative to HCs, showed decreased GMV in the bilateral anterior cingulate cortex/medial prefrontal cortex (extending to the bilateral OFC), and left cerebellum, and increased GMV in the bilateral amygdala (extending to the bilateral hippocampus, STG, TP, MTG, and right striatum). Moreover, overlapping analysis revealed that patients with COVID-19 exhibited both decreased functional activity and increased GMV in the right TP (extending to the right STG). The multimodal meta-analysis suggests that brain changes of function and structure in the temporal lobe, OFC and cerebellum, and functional or structural alterations in the insula and the limbic system in COVID-19. These findings contribute to a better understanding of the pathophysiology of brain alterations in COVID-19. SIGNIFICANCE STATEMENT: This first large-scale multimodal meta-analysis collates existing neuroimaging studies and provides voxel-wise functional and structural whole-brain abnormalities in COVID-19. Findings of this meta-analysis provide valuable insights into the dynamic brain changes (from infection to recovery) and offer further explanations for the pathophysiological basis of brain alterations in COVID-19.

Experienced discrimination and internalized stigma among people infected with SARS-CoV-2 and surviving COVID-19: Association with anxiety, depression, and insomnia symptoms

People surviving COVID-19 may experience social stigma related to their condition even after clinical recovery. This study aimed to: (1) investigate COVID-19-related experienced discrimination and internalized stigma, and (2) explore their association with symptoms of anxiety, depression, and insomnia. We conducted an online survey of people who survived COVID-19. Perception of stigma was assessed using the COVID-19 Experienced Discrimination Scale and the COVID-19 Internalized Stigma Scale. Depression, anxiety, and insomnia were assessed using, respectively, the Patient Health Questionnaire-9, the General Anxiety Disorder Scale-7, and the Insomnia Severity Index. Multivariable logistic regression analyses for each psychopathological domain were performed. A total of 579 participants participated in this study. Overall, 25% reported some degree of experienced discrimination, and 23% reported some degree of internalized stigma. Adjusted odds ratio showed that scoring higher on internalized stigma related significantly to higher symptoms of depression (2.14; 95% confidence interval [CI], 1.35-3.39), anxiety (2.30; 95% CI, 1.48-3.59), and insomnia (2.54; 95% CI, 1.64-3.95), whereas experienced discrimination was associated to anxiety (1.55; 95% CI, 1.06-2.28) and insomnia (1.82; 95% CI, 1.24-2.69). Experiences of social stigmatization are frequent among people surviving COVID-19 and seem to be associated with levels of psychological disturbances. Further research is required to elucidate the direction of these relationships to implement effective treatment strategies.

Assessment of psycho-oncology in the Middle East and North Africa region: a systematic review and meta-analysis

BACKGROUND

The Middle East and North Africa (MENA) region is expected to witness a significant increase in the burden of cancer. Contrary to Western literature, the burden of psycho-oncology is yet to be established within the MENA region. This study reviews all available evidence characterizing the psychological burden among patients with cancer across the MENA region.

METHODS

We systematically explored the PubMed/MEDLINE, Cochrane/CENTRAL, and Web of Science (WoS) databases for reports on the psychiatric burden among patients with cancer residing within the MENA region from January 2000 until January 2023. Raw proportion were extracted and analyzed using a random-effects model.

FINDINGS

Eighty-three studies comprised of 16 810 participants, representing 14 countries, met our inclusion criteria. Across the MENA region, the prevalence of depression, anxiety, and distress were 44% (95% CI, 39%-50%), 47% (95% CI, 40%-54%), and 43% (95% CI, 30%-56%), respectively. Prevalence of depression was significantly different across countries, with Palestine (73%; 95% CI, 42%-91%) reporting the highest rate while Morocco (23%; 95% CI, 7%-56%) reported the lowest. Similarly, anxiety significantly differed across MENA nations ranging from 64% (95% CI, 3%-99%) in Morocco to 28% (95% CI, 18%-42%) in Tunisia. Rates of depression and anxiety were significantly different across measurement tools but not between Arabic-speaking versus Persian/Farsi-speaking countries. Meta-regression models showed that neither publication year nor age affected the prevalence of both anxiety and depression (P = .374 and .091 for depression and P = .627, and .546 for anxiety, respectively).

INTERPRETATION

We report an abnormally high rate of psychiatric burden among patients with cancer in the MENA region. Thus, establishing appropriate psycho-oncologic interventions within the MENA region is of utmost importance.

Deciphering the role of siRNA in anxiety and depression

Anxiety and depression are central nervous system illnesses that are among the most prevalent medical concerns of the twenty-first century. Patients with this condition and their families bear psychological, financial, and societal hardship. There are currently restrictions when utilizing the conventional course of treatment. RNA interference is expected to become an essential approach in anxiety and depression due to its potent and targeted gene silencing. Silencing of genes by post-transcriptional modification is the mechanism of action of small interfering RNA (siRNA). The suppression of genes linked to disease is typically accomplished by siRNA molecules in an efficient and targeted manner. Unfavourable immune responses, off-target effects, naked siRNA instability, nuclease vulnerability, and the requirement to create an appropriate delivery method are some of the challenges facing the clinical application of siRNA. This review focuses on the use of siRNA in the treatment of anxiety and depression.

A repeated cross-sectional pilot study of the relationship between perceived a community with shared future for doctor-patient and benefit finding: the mediating role of health self-consciousness and moderating role of anxiety

OBJECTIVE

Since January 8, 2023, China has managed COVID-19 as a Class-B infectious disease, marking the epidemic's transition to a low-level stage. This study analyzes the relationship between the public's perceived a community with shared future for doctor-patient (PCSF), health self-consciousness, benefit finding, and anxiety in this stage. Additionally, it compares changes in these variables across different stages of COVID-19.

METHODS

Using a repeated cross-sectional design, three surveys were conducted respectively in three different stages of COVID-19 in China. Specifically, the first survey was conducted in Beijing, Dalian, Zhengzhou, Heihe, and Shangrao from November 13 to 20, 2021 in the outbreak stage of COVID-19, yielding 1,252 valid responses out of 1,534 collected questionnaires. The second survey was conducted in Dalian, Zhengzhou, Heihe, Shangrao, and Lanzhou from December 1 to 19, 2021 in the stable stage of COVID-19, with 872 valid responses obtained from 1,075 collected questionnaires. The third survey was conducted in Beijing, Dalian, Zhengzhou, Heihe, Shangrao, Lanzhou, and Chengdu from January 29 to February 4, 2023 in the low epidemic level stage of COVID-19, achieving 2,113 valid responses from the 2,461 questionnaires collected.

RESULTS

Unlike in the outbreak stage but similar to the stable stage, the public's anxiety, health self-consciousness and benefit finding decreased while PCSF was improved in the low epidemic level stage. Consistent with both the outbreak and stable stage, PCSF, health self-consciousness, benefit finding, and anxiety showed positive correlations in the low epidemic level stage, with health self-consciousness partially mediating the positive impact of PCSF on benefit finding. Unlike in the stable stage but similar to the outbreak stage, anxiety did not moderate the relationship between PCSF and health self-consciousness in the low epidemic level stage.

CONCLUSIONS

The public's health self-consciousness, benefit finding, and anxiety decreased, while PCSF increased in the low epidemic level stage. Furthermore, PCSF had a greater impact on benefit finding, and anxiety's impact on health self-consciousness was significantly reduced. Across different stages of COVID-19, PCSF directly increased benefit finding and also enhanced benefit finding by improving health self-consciousness. Thus, comprehensive intervention measures are beneficial in the low epidemic level stage.

Intolerance of uncertainty as a predictor of anxiety severity and trajectory during the COVID-19 pandemic

BACKGROUND

Efforts to identify risk and resilience factors for anxiety severity and course during the COVID-19 pandemic have focused primarily on demographic rather than psychological variables. Intolerance of uncertainty (IU), a transdiagnostic risk factor for anxiety, may be a particularly relevant vulnerability factor.

METHOD

N = 641 adults with pre-pandemic anxiety data reported their anxiety, IU, and other pandemic and mental health-related variables at least once and up to four times during the COVID-19 pandemic, with assessments beginning in May 2020 through March 2021.

RESULTS

In preregistered analyses using latent growth models, higher IU at the first pandemic timepoint predicted more severe anxiety, but also a sharper decline in anxiety, across timepoints. This finding was robust to the addition of pre-pandemic anxiety and demographic predictors as covariates (in the full sample) as well as pre-pandemic depression severity (in participants for whom pre-pandemic depression data were available). Younger age, lower self/parent education, and self-reported history of COVID-19 illness at the first pandemic timepoint predicted more severe anxiety across timepoints with strong model fit, but did not predict anxiety trajectory.

CONCLUSIONS

IU prospectively predicted more severe anxiety but a sharper decrease in anxiety over time during the pandemic, including after adjustment for covariates. IU therefore appears to have unique and specific predictive utility with respect to anxiety in the context of the COVID-19 pandemic.

The Effect of COVID-19 on Mood Disorders in Urban and Suburban Detroit

Introduction

The COVID-19 pandemic has increased the global experience of anxiety and depression owing to social isolation and government-mandated quarantine for transmission reduction. To date, literature surrounding the mental health effects of COVID-19 for the U.S. population is limited.

Methods

This is a retrospective study from a large metropolitan Detroit health system. Patient encounters between December 23, 2018 and June 22, 2021, with March 23, 2020 being the start of Michigan state-wide lockdown, were used to define pre- and post-COVID-19 encounters, respectively. The data were divided into Detroit and non-Detroit on the basis of patient ZIP code. All patients aged ≥13 years with a visit with a family medicine provider were included. Outcome variables included Patient Health Questionnaires-2 and -9 and General Anxiety Disorder-7 scores; diagnoses of depression, anxiety, adjustment, and grief disorders; antidepressant prescriptions; and behavioral health referrals. Logistic regression was used to determine the incidence of composite mood disorder, depression, and anxiety.

Results

A total of 20,970 individuals were included in this study: 10,613 in the Detroit subgroup and 10,357 in the non-Detroit subgroup. A total of 88.2% of the Detroit population were Black, and 70% were female. Logistic regression shows that the incidence of composite mood disorder decreased with increasing age (OR=0.787, 0.608, 0.422, and 0.392; p<0.001). Male sex is a protective factor (OR=0.646, p<0.001). Federal insurance is the only factor presenting a statistically significant increased risk (OR=1.395, p<0.001). There was no statistical difference between residing in urban and suburban areas in the incidence of composite mood disorder (OR=0.996, p=0.953).

Conclusions

This research demonstrates that residing in an urban setting did not increase the risk of developing a mental health disorder during the COVID-19 period.

The relationship between corona disease anxiety and sleep disturbances and suicidal ideation in medical staff: The mediating role of resiliency and cognitive flexibility: A cross-sectional study

Background and Aims

Medical staff have experienced anxiety, sleep disturbances, and suicide due to the COVID-19 epidemic. Thus, this study examined the relationship between corona disease anxiety, sleep problems, and suicidal ideation in medical staff and how resiliency and cognitive flexibility mediate it.

Methods

This descriptive-analytical cross-sectional study examined medical staff. In 2022, participants were affiliated with Hamadan University of Medical Sciences, Iran educational and treatment centers. Sampling was done at primary COVID-19 treatment centers. Data was collected using validated instruments. Ethics were observed during data collecting.

Results

Path analysis was employed to test hypotheses. Analysis showed significant positive relationships between Corona disease anxiety and sleep disturbances (p = 0.001, β = 0.438) and suicidal ideation (p = 0.001, β = 0.310). Conversely, negative and significant associations were identified between resiliency and cognitive flexibility with sleep disturbances and suicidal ideation.

Conclusions

The study illustrates how medical staff's psychological health is linked to COVID-19. High Corona disease anxiety causes sleep disturbances and suicidal thoughts. Resilience and cognitive flexibility modulated Corona disease anxiety, sleep problems, and suicidal thoughts. The comprehensive study focuses on medical staff mental health issues, suggesting targeted solutions.

Exploring the Interplay between Sleep Quality, Stress, and Somatization among Teachers in the Post-COVID-19 Era

(1) Background. The post-COVID-19 era has imposed unique challenges on educators, significantly impacting their psychological and physical well-being. This study examines the interrelationships among psychological stress, sleep quality, and somatization in a sample of teachers, elucidating the impact of these factors during the ongoing recovery from the pandemic. (2) Methods. Using validated instruments such as the Pittsburgh Sleep Quality Index (PSQI) and the Mesure du Stress Psychologique (MSP), this research investigates how stress and sleep disturbances correlate with somatization among teachers. The study also considers the influence of demographic factors such as age, gender, and years of experience. (3) Results. The results indicated that sleep quality significantly correlates with both psychological stress and somatic pain, emphasizing the crucial role of sleep in managing stress-induced physical symptoms. Additionally, the fear of COVID-19 significantly exacerbates these effects, illustrating the complex interplay of psychological and physical health factors during the pandemic. Contrary to initial hypotheses, demographic factors such as gender, age, and years of experience did not significantly influence these primary relationships. (4) Conclusions. The findings emphasize the necessity of addressing both psychological stress and sleep quality to mitigate their combined effects on somatization. Educational institutions and policymakers are urged to develop targeted interventions that address these issues to support teachers' health and well-being in a post-pandemic landscape.

Clinical and Physiological Variables in Patients with Post-COVID-19 Condition and Persistent Fatigue

Background/Objectives: Post-COVID-19 condition can manifest through various symptoms such as dyspnea, cognitive disturbances, and fatigue, with mechanisms related to these symptoms, particularly those related to fatigue, still requiring further clarification. Therefore, our aim was to assess the clinical and physiological variables in patients with post-COVID-19 condition and persistent fatigue. Methods: After one year post-COVID-19 infection, the patients underwent a comprehensive evaluation, including a complete blood count, a metabolic panel, complete spirometry, and assessments of dyspnea, quality of life, anxiety and depression, physical capacity, body composition, muscle strength, comorbidities, and medications. The participants were categorized into two groups: G1-fatigue and G2-non-fatigue. Results: Seventy-seven patients (53% female; 55 ± 11.8 years) were included, 37 in G1 and 40 in G2. As for clinical markers and symptoms of illness, in those with persistent fatigue symptoms, a greater sensation of dyspnea [BDI score: 7.5 (6-9) vs. 12 (9-12), p < 0.001; mMRC score: 1 (1-2) vs. 0 (0-1), p = 0.002], worse quality of life [SGRQ total score: 1404 (1007-1897) vs. 497 (274-985); p < 0.001], higher levels of anxiety [HADS-A score: 8 (5-9) vs. 3 (0.5-4); p < 0.001], and a reduction in peripheral and inspiratory muscle strength [handgrip strength: 34 (28-40) vs. 40 (30-46.5) kgf, p = 0.044; MIP: -81 ± 31 vs. -111 ± 33 mmHg, p < 0.001)] were observed. Conclusions: Those with persistent fatigue exhibited a greater sensation of dyspnea, higher levels of anxiety, reduced peripheral and inspiratory muscle strength, and a greater impairment of quality of life. The severity of fatigue was influenced by the worsening quality of life, heightened anxiety levels, and decreased peripheral muscle strength. Additionally, the worse quality of life was associated with a higher sensation of dyspnea, lower muscle strength, and reduced physical capacity.

Follow-up of telemedicine mental health interventions amid COVID-19 pandemic

The initiation of the program Mental Health Support Program for Coronavirus Infection addressed the increased demand for mental health services in the province of Salamanca, resulting from the COVID-19 pandemic. The psychiatry service provided care for COVID-19 patients, their families, and healthcare workers who treated them, as these groups were identified as being at risk. This study aims to describe the assistance provided, including personnel and resources utilized, types of interventions carried out, and to assess the demand for mental health care and predominant symptoms and emotions experienced by patients. Billboards and the complex's intranet publicized the program. Specific clinical approach using telemedicine were provide from March 2020 to December 2021 to COVID-19 patients, their relatives, and healthcare workers. 216 patients were included with a mean age of 53.2 years, with women comprising 77.3% of this group. All the groups received treatment in similar proportions. Over a period of 730 h, a total of 1376 interventions were performed, with an average duration of 31.8 min per intervention. The program could treat 79.6% of these patients without requiring referrals to other services. When the program concluded, only 21 participants (9.7%) were discharged to the local mental health network to continue their mental health treatment. The program effectively reduced the burden on regular mental health services due to its ability to treat most patients without requiring referrals. The program was able to attend to most mental health requests with minimal involvement of the regular mental health service.

Relationship between serum inflammatory cytokines and suicide risk in patients with major depressive disorder

Background

Studies have shown that increased inflammatory cytokines are associated with suicide risk, but the relationship between suicide risk and inflammatory cytokines is not clear. This study aimed to investigate the relationship between specific inflammatory markers and suicide risk in patients with MDD.

Methods

This is a cross-sectional study. Firstly, we measured and compared psychological characteristics and 10 peripheral inflammatory cytokines in 130 MDD patients and 130 healthy controls(HC). Secondly, MDD patients were divided into 4 groups according to the severity of suicide risk for comparison between groups. Finally, multiple linear regression analysis was used to explore the predictors of suicide risk.

Results

We found that the group with higher suicide risk had higher levels of IL-6, CRP, TNF-α, CXCL-2, and IFN-γ, and lower levels of IL-2 and IL-8 (all p<0.01). However, we found no difference in CRP between MIS and LS groups (p=0.337). Regression models were well-fitted. IL-2,IL-8 negatively predicted suicide risk (all p<0.05),IL-6,CRP,TNF-α,CXCL-2, and IFN-γ can positively predict the risk of suicide (all p<0.05).

Limitations

This study employed a self-assessment scale.

Conclusions

The higher the levels of IL-6, CRP, TNF-α, CXCL-2, and IFN-γ and the lower the levels of IL-2 and IL-8 of MDD patients, the higher the risk of suicide.

A tree-based explainable AI model for early detection of Covid-19 using physiological data

With the outbreak of COVID-19 in 2020, countries worldwide faced significant concerns and challenges. Various studies have emerged utilizing Artificial Intelligence (AI) and Data Science techniques for disease detection. Although COVID-19 cases have declined, there are still cases and deaths around the world. Therefore, early detection of COVID-19 before the onset of symptoms has become crucial in reducing its extensive impact. Fortunately, wearable devices such as smartwatches have proven to be valuable sources of physiological data, including Heart Rate (HR) and sleep quality, enabling the detection of inflammatory diseases. In this study, we utilize an already-existing dataset that includes individual step counts and heart rate data to predict the probability of COVID-19 infection before the onset of symptoms. We train three main model architectures: the Gradient Boosting classifier (GB), CatBoost trees, and TabNet classifier to analyze the physiological data and compare their respective performances. We also add an interpretability layer to our best-performing model, which clarifies prediction results and allows a detailed assessment of effectiveness. Moreover, we created a private dataset by gathering physiological data from Fitbit devices to guarantee reliability and avoid bias.The identical set of models was then applied to this private dataset using the same pre-trained models, and the results were documented. Using the CatBoost tree-based method, our best-performing model outperformed previous studies with an accuracy rate of 85% on the publicly available dataset. Furthermore, this identical pre-trained CatBoost model produced an accuracy of 81% when applied to the private dataset. You will find the source code in the link: https://github.com/OpenUAE-LAB/Covid-19-detection-using-Wearable-data.git .

Latinx adolescents' daily family assistance and emotional well-being before and amid the COVID-19 pandemic: A pilot measurement burst study

This study examined Latinx adolescents' daily family assistance (assistance day, assistance time, language brokering) in relation to their daily affect and investigated whether the associations changed following the outbreak of the COVID-19 pandemic. Two waves of 14-day daily diary data collected from 13 18-year-old Latinx adolescents (ndays = 284; 77% Mexican American, 77% female) before and amid the pandemic were analyzed using multilevel modeling. Three main findings emerged: (1) assisting the family on a given day was associated with higher levels of same-day positive affect both before and during COVID-19, and with lower levels of negative affect during COVID-19; (2) longer than usual family assistance time was associated with higher levels of same-day positive affect and lower levels of negative affect only during COVID-19; (3) language brokering on a given day was associated with higher levels of same-day positive affect both before and during COVID-19. These findings suggest a positive link between daily family assistance and Latinx youth's daily emotional well-being, particularly during the COVID-19 pandemic.

The Effectiveness of Mind-Body Intervention on Psychological Well-Being during the COVID-19 Pandemic: A Pilot Pre-Post Interventional Study

The pandemic highlighted the need for alternative, more accessible access to mental health interventions that can be readily administered remotely. The purpose of this pre-post-interventional study was to evaluate the effectiveness of a virtual mind-body medicine training course on stress, anxiety, and depression levels. University employees and members of the Las Vegas community were recruited via self-selection and snowball sampling and subjected to online mind-body practice sessions in December of 2020. Stress, anxiety, depression, and quality of life were assessed pre- and post-intervention using standardized psychometric valid tools. The paired t-test and related samples marginal homogeneity tests were used for continuous and categorical outcomes, respectively. Depression and stress scores were significantly decreased (p < 0.001). Mean scores of professional quality of life improved post-intervention compared to pre-intervention (p = 0.03). A significantly larger proportion of participants reported no depression or stress post-intervention compared with pre-intervention (p < 0.001, p = 0.003, respectively.) This study suggests that virtual mind-body practices had a pronounced impact on stress and depression levels during the pandemic. These findings support virtual, online-guided mind-body medicine training as an effective intervention that can be administered virtually to reduce stress and depression symptoms.

Anxiety and depression in people with post-COVID condition: a Belgian population-based cohort study three months after SARS-CoV-2 infection

PURPOSE

Since the onset of the COVID-19 pandemic, most research has focused on the management of the acute symptoms of the disease. Yet some people tend to experience symptoms beyond the acute phase, defined as Post-COVID-19 Condition (PCC). This study aims to assess the impact of COVID-19 and PCC on anxiety and depression.

METHODS

This is a prospective longitudinal cohort study among the Belgian adult population with recent SARS-CoV-2 infection for which contact tracing was initiated. A total of 3127 people were followed-up just after their infection and three months later (from April 2021 to January 2022). Anxiety and depression were assessed at the two stages using the GAD-7 (Generalized Anxiety Disorder) and the PHQ-9 (Patient Health Questionnaire).

RESULTS

Three months after infection, participants with PCC (50%) had an increased probability of having both anxiety and depressive symptoms (p < 0.001). The proportion with anxiety and depressive symptoms at three months were significantly higher in people with PCC (11% and 19%) compared to people without persistent COVID symptoms (3.8% and 4.2%) and to a matched sub-sample not infected with SARS-CoV-2 (6.5% and 4.3%). Having at least one acute COVID-19 symptom (p < 0.001), experiencing financial loss following the infection (p < 0.001), and different PCC symptoms were associated with anxiety and depressive symptoms worsening over time.

CONCLUSIONS

This study showed that three months after a SARS-CoV-2 infection, one in two people suffer from PCC with significant consequences for their mental health. Follow-up on mental health must therefore have an important place in people suffering from PCC.

Prevalence and network structure of depression, insomnia and suicidality among mental health professionals who recovered from COVID-19: a national survey in China

Psychiatric syndromes are common following recovery from Coronavirus Disease 2019 (COVID-19) infection. This study investigated the prevalence and the network structure of depression, insomnia, and suicidality among mental health professionals (MHPs) who recovered from COVID-19. Depression and insomnia were assessed with the Patient Health Questionnaire (PHQ-9) and Insomnia Severity Index questionnaire (ISI7) respectively. Suicidality items comprising suicidal ideation, suicidal plan and suicidal attempt were evaluated with binary response (no/yes) items. Network analyses with Ising model were conducted to identify the central symptoms of the network and their links to suicidality. A total of 9858 COVID-19 survivors were enrolled in a survey of MHPs. The prevalence of depression and insomnia were 47.10% (95% confidence interval (CI) = 46.09-48.06%) and 36.2% (95%CI = 35.35-37.21%), respectively, while the overall prevalence of suicidality was 7.8% (95%CI = 7.31-8.37%). The key central nodes included "Distress caused by the sleep difficulties" (ISI7) (EI = 1.34), "Interference with daytime functioning" (ISI5) (EI = 1.08), and "Sleep dissatisfaction" (ISI4) (EI = 0.74). "Fatigue" (PHQ4) (Bridge EI = 1.98), "Distress caused by sleep difficulties" (ISI7) (Bridge EI = 1.71), and "Motor Disturbances" (PHQ8) (Bridge EI = 1.67) were important bridge symptoms. The flow network indicated that the edge between the nodes of "Suicidality" (SU) and "Guilt" (PHQ6) showed the strongest connection (Edge Weight= 1.17, followed by "Suicidality" (SU) - "Sad mood" (PHQ2) (Edge Weight = 0.68)). The network analysis results suggest that insomnia symptoms play a critical role in the activation of the insomnia-depression-suicidality network model of COVID-19 survivors, while suicidality is more susceptible to the influence of depressive symptoms. These findings may have implications for developing prevention and intervention strategies for mental health conditions following recovery from COVID-19.

Pre-Pandemic Predictivity of Anxious-Depressive Symptoms in Post-Surgical Traumatic Distress in Hysterectomy for Benign Disease and COVID-19 Outbreak: A Case-Control Study

Background: The severe acute respiratory syndrome coronavirus (SARS-CoV-2) pandemic led to several needed containment measures that conditioned the onset of depressive, anxiety, and post-traumatic stress symptoms in the population. These symptoms, especially if not diagnosed and treated, can also occur in patients undergoing medical care or surgery, with a high impact on people's lives and causing low adherence to treatment. The study evaluates whether the spread of the coronavirus disease 2019 (COVID-19) worsened the onset of post-surgical distress and symptoms of anxiety and depression in a population undergoing hysterectomy for benign disease during the pandemic era, comparing it with a population with the same characteristics but recruited before COVID-19. Methods: The sample was evaluated before surgery (T1), post-operatively (T2), and 3 months after surgery (T3) through a sociodemographic questionnaire and through the HADS (Hospital Anxiety and Depression Scale) to evaluate anxious-depressive symptoms and the PCL-5 (Post-traumatic Stress Disorder Checklist for DSM-5) to assess the onset of post-surgical distress. Results: Patients treated after the COVID-19 pandemic showed a higher depressive symptoms rate compared with those treated before (p-value = 0.02); conversely, pre-COVID-19 patients were more prone to develop post-traumatic stress disorder (PTSD) (p-value = 0.04). A significant association between the occurrence of PTSD and anxiety-depressive symptoms registered at T2 (p-value = 0.007) and T3 (p-value < 0.0001) emerged. In the end, the COVID-19 pandemic has exerted a detrimental influence on the mental well-being of the patients under investigation, with a notable exacerbation of their mood disturbances. Conclusions: The findings advocate for the implementation of psychometric and psychodiagnostic assessments to promptly detect high-risk scenarios that could lead to PTSD, compromising treatment compliance and exacerbating the overall outcome, resulting in substantial direct and indirect burdens.

COVID-19 infection, resilience, and depressive symptoms: the protective role of family functioning for aging Chinese adults in Hong Kong

OBJECTIVES

Older adults are at an elevated risk of experiencing long COVID, with post-COVID-19 depressive symptoms being prevalent. However, the protective factors against this remain understudied. This study examined (a) the role of resilience in the association between COVID-19 infection and depressive symptoms in aging adults; (b) the moderating role of family functioning in the relationships between COVID-19 and resilience and between resilience and depressive symptoms; and (c) potential gender differences in the moderation.

METHOD

Data were drawn from the first wave of the Panel Study of Active Ageing and Society, a representative survey of Hong Kong adults aged 50 or above. Mediation and moderated mediation analyses were conducted.

RESULTS

Approximately 35% of the participants had tested positive for COVID-19. Resilience significantly mediated the association between COVID-19 infection and post-COVID-19 depressive symptoms (p < 0.001). Family functioning was a significant moderator: the COVID-19-resilience association was stronger, and the resilience-depressive symptoms association was weaker among participants with higher family functioning. The moderating role of family functioning was more salient in women than in men.

CONCLUSION

Resilience can protect aging adults from post-COVID-19 depressive symptoms. Interventions for enhancing family functioning may promote the formation of resilience, especially among older women.

Unraveling the Role of the Blood-Brain Barrier in the Pathophysiology of Depression: Recent Advances and Future Perspectives

Depression is a highly prevalent psychological disorder characterized by persistent dysphoria, psychomotor retardation, insomnia, anhedonia, suicidal ideation, and a remarkable decrease in overall well-being. Despite the prevalence of accessible antidepressant therapies, many individuals do not achieve substantial improvement. Understanding the multifactorial pathophysiology and the heterogeneous nature of the disorder could lead the way toward better outcomes. Recent findings have elucidated the substantial impact of compromised blood-brain barrier (BBB) integrity on the manifestation of depression. BBB functions as an indispensable defense mechanism, tightly overseeing the transport of molecules from the periphery to preserve the integrity of the brain parenchyma. The dysfunction of the BBB has been implicated in a multitude of neurological disorders, and its disruption and consequent brain alterations could potentially serve as important factors in the pathogenesis and progression of depression. In this review, we extensively examine the pathophysiological relevance of the BBB and delve into the specific modifications of its components that underlie the complexities of depression. A particular focus has been placed on examining the effects of peripheral inflammation on the BBB in depression and elucidating the intricate interactions between the gut, BBB, and brain. Furthermore, this review encompasses significant updates on the assessment of BBB integrity and permeability, providing a comprehensive overview of the topic. Finally, we outline the therapeutic relevance and strategies based on BBB in depression, including COVID-19-associated BBB disruption and neuropsychiatric implications. Understanding the comprehensive pathogenic cascade of depression is crucial for shaping the trajectory of future research endeavors.

Prevalence and risk factors of depression and anxiety symptoms in intensive care unit patients with cardiovascular disease: A cross-sectional study

AIMS

To investigate the prevalence of anxiety and depression symptoms in intensive care unit (ICU) patients with cardiovascular disease (CVD) and to explore which elements are risk factors for the development of anxiety and depression symptoms.

DESIGN

A cross-sectional study.

METHODS

A total of 1028 ICU patients with CVD were enrolled in this cross-sectional study. Logistic regression was used to assess risk factors and associations between anxiety and depression symptoms, and mediation analysis was used to explore the effect of risk factors on the association between anxiety and depression symptoms. Reporting of the study followed the STROBE checklist.

RESULTS

The results showed that among ICU patients with CVD, 38.1% had anxiety symptoms, 28.7% had depression symptoms and 19.3% had both anxiety and depression symptoms, and there was a significant association between anxiety and depression symptoms. We also identified female gender, hypertension, hyperlipidemia and cardiac function class IV as independent risk factors for anxiety and depression symptoms. Importantly, these factors also mediated the association between anxiety and depression symptoms, emphasising their role in the psychological well-being of this patient group.

CONCLUSION

ICU patients with CVD were prone to anxiety and depression symptoms. Female gender, hypertension, hyperlipidemia and cardiac function class IV were identified as independent risk factors that also served as mediators in the relationship between anxiety and depression symptoms. Especially, cardiac function class IV emerged as a critical factor in this association.

RELEVANCE TO CLINICAL PRACTICE

It is imperative for critical care professionals to recognize the elevated risk of depression and anxiety among ICU patients with severe CVD, especially those with cardiac function class IV, hypertension, hyperlipidemia and females. Proactive and supportive measures are essential for this vulnerable group during their ICU stay to safeguard their mental health and prevent negative outcomes.

PATIENT OR PUBLIC CONTRIBUTION

No Patient or Public Contribution.

Binge-Spectrum Eating Disorders, Mood, and Food Insecurity in Young Adults With Obesity

BACKGROUND

Disordered eating is common but underrecognized in people with obesity and the relationship of food insecurity, mood, and binge-spectrum eating disorders has not been well addressed in samples with higher weight. Young adults are particularly vulnerable to developing disordered eating.

AIM

The purpose of this study was to compare the prevalence of food insecurity, depressive symptoms, anxiety, and loneliness among young adults (aged 18-35 years) who screened positive for binge-spectrum eating disorders (i.e., binge eating disorder and bulimia nervosa), those with subthreshold forms of these disorders, and individuals who did not screen positive for these conditions.

METHOD

This was a cross-sectional study of young adults with a self-reported body mass index ≥30 kg/m2 from the United States who were recruited online. Participants (N = 1,331; M ± SD age = 28.0 ± 3.4 years; body mass index [BMI] = 36.5 ± 6.2 kg/m2; 73.9% male; 56.3% White) completed surveys that evaluated disordered eating behaviors, food insecurity, mood, and lifestyle factors.

RESULTS

In the sample, 8.0% of participants screened positive for binge-spectrum eating disorder and 16.0% had probable subthreshold symptoms. Higher depressive symptoms (odds ratio [OR] = 1.11, 95% confidence interval [CI] = [1.03, 1.20], p = .01), perceived stress (OR = 1.13, 95% CI = [1.07, 1.19], p < .001), and food insecurity scores (OR = 1.12, 95% CI = [1.03, 1.21], p = .01) were associated with an increased likelihood of threshold binge-spectrum eating disorders.

CONCLUSION

People with disordered eating should also be evaluated for mood disorders and food insecurity and vice versa. Further research is needed to evaluate interventions that address food insecurity and mood disorders, which may help to decrease disordered eating.

Non-binary gender, vulnerable populations and mental health during the COVID-19 pandemic: Data from the COVID-19 MEntal health inTernational for the general population (COMET-G) study

BACKGROUND

The COVID-19 pandemic has brought significant mental health challenges, particularly for vulnerable populations, including non-binary gender individuals. The COMET international study aimed to investigate specific risk factors for clinical depression or distress during the pandemic, also in these special populations.

METHODS

Chi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them.

RESULTS

The most important risk factors for depression were female (RR = 1.59-5.49) and non-binary gender (RR = 1.56-7.41), unemployment (RR = 1.41-6.57), not working during lockdowns (RR = 1.43-5.79), bad general health (RR = 2.74-9.98), chronic somatic disorder (RR = 1.22-5.57), history of mental disorders (depression RR = 2.31-9.47; suicide attempt RR = 2.33-9.75; psychosis RR = 2.14-10.08; Bipolar disorder RR = 2.75-12.86), smoking status (RR = 1.15-5.31) and substance use (RR = 1.77-8.01). The risk factors for distress or depression that survived MBSLRA were younger age, being widowed, living alone, bad general health, being a carer, chronic somatic disorder, not working during lockdowns, being single, self-reported history of depression, bipolar disorder, self-harm, suicide attempts and of other mental disorders, smoking, alcohol, and substance use.

CONCLUSIONS

Targeted preventive interventions are crucial to safeguard the mental health of vulnerable groups, emphasizing the importance of diverse samples in future research.

LIMITATIONS

Online data collection may have resulted in the underrepresentation of certain population groups.

Multidisciplinary Management Strategies for Long COVID: A Narrative Review

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused millions of infections to date and has led to a worldwide pandemic. Most patients had a complete recovery from the acute infection, however, a large number of the affected individuals experienced symptoms that persisted more than 3 months after diagnosis. These symptoms most commonly include fatigue, memory difficulties, brain fog, dyspnea, cough, and other less common ones such as headache, chest pain, paresthesias, mood changes, muscle pain, and weakness, skin rashes, and cardiac, endocrine, renal and hepatic manifestations. The treatment of this syndrome remains challenging. A multidisciplinary approach to address combinations of symptoms affecting multiple organ systems has been widely adopted. This narrative review aims to bridge the gap surrounding the broad treatment approaches by providing an overview of multidisciplinary management strategies for the most common long COVID conditions.

Poor sleep hygiene practices are associated with a higher increase in sleep problems during the COVID-19 pandemic: A latent change score model

The Coronavirus 2019 (COVID-19) pandemic significantly influenced physical and mental health worldwide. The present study aimed to investigate changes in sleep problems across three waves of the COVID-19 pandemic, and to identify potential predictors of the inter-individual variability around these changes, with a particular focus on the role of detrimental sleep hygiene practices. A total of 352 participants completed an online survey of self-report questionnaires at three different waves of the COVID-19 pandemic: T1 (Spring 2020); T2 (Autumn-Winter 2020); and T3 (Spring 2021). The questionnaires collected information on socio-demographic and COVID-19-related variables, psychological distress (i.e. the Depression Anxiety Stress Scale-21), sleep hygiene (i.e. the Sleep Hygiene Index) and sleep problems (i.e. the Medical Outcomes Study-Sleep Scale). Latent change score modelling revealed an average increase in sleep problems between T1 and T2 with significant inter-individual variability. No substantial changes were observed on average between T2 and T3. Notably, poorer sleep hygiene practices were associated with a more pronounced increase in sleep problems between T1 and T2 (β = 0.191, p = 0.013), even after controlling for relevant confounders such as demographic factors, COVID-19-related information and psychological distress. These findings expand on previous research regarding the detrimental effects of the pandemic on mental health, suggesting that interventions targeting sleep hygiene practices may be beneficial for mitigating its negative impact on sleep disruptions.

Sleep duration and quality during the COVID-19 pandemic and the association with physical activity and screen time among Brazilian college students

BACKGROUND

As a result of social isolation during the COVID-19 pandemic, changes in sleep patterns have been observed in many countries, as well as changes in physical activity and screen time. The objective was to investigate sleep duration and quality during the COVID-19 pandemic and its association with physical activity and screen time.

METHODS

Cross-sectional study with students from a University in Rio de Janeiro who answered an online questionnaire between August 2020 and March 2021. Physical activity was assessed using IPAQ-SF. Sleep was investigated based on questions about duration and sleep quality change, and screen time through self-reported questions. Multinomial logistic regression was performed to assess the association between physical activity and screen time with sleep duration and quality. Secondary analyses investigated the influence of the isolation time on this association. The confounding factors used were diagnosis of COVID-19, time of isolation, anxiety, depression, skin color, and gender.

RESULTS

A total of 771 college students with a mean age of 24.5 years (±8.6) answered the questionnaire. About 75% reported more than 8 h of screen time per day and 49.8% were physically inactive. Regarding sleep, 54.9% had worsening sleep, while 40.6% had inadequate sleep duration during the pandemic. Physical activity was associated with improved sleep quality (Odds ratio (OR) 1.72; confidence interval (95% CI) 1.05-2.97). Also, physically active students who spent more than 14 weeks in social isolation demonstrated improved sleep quality (OR 1.99; 95% CI 1.02-3.78) compared to physically inactive individuals. No association was observed for sleep duration. No association was observed between screen time and sleep quality, or sleep duration.

CONCLUSION

During the COVID-19 pandemic, there was considerable worsening of sleep quality, and physical activity was positively associated with improved sleep quality.

The protective role of resilience and social support against burnout during the COVID-19 pandemic

Background

The COVID-19 pandemic brought on a range of stressors in homes and workplaces. With no sign of ending after one year, burnout was a concern. Resilience has been known to shield against the effects of stress. While often thought of as an individual trait, previous studies have shown social support to improve resilience. The study aimed to examine the extent of burnout in the Singapore population and whether social support and resilience cushioned the impact of COVID-19 related stressors a year into the pandemic.

Methods

Participants were 858 Singapore residents who participated in a larger study between October 2021 and September 2022. The Copenhagen Burnout Inventory provided Work-and Personal-related burnout scores. Multivariable linear regression was used to identify demographic variables associated with burnout. Path analysis revealed the associations between COVID-19 stressors, social support, resilience and burnout.

Results

22 and 19% of the sample reported work and personal burnout respectively, with younger adults being more burnt out than older adults. Higher stress was associated with higher burnout and higher social support was associated with lower burnout. Path analysis revealed that the relationship between social support and burnout was partially accounted for by increased resilience.

Conclusion

Managing altered work arrangements, career expectations, and increased responsibilities at home may contribute to greater levels of burnout in the younger adults. Increased employer support and targeted interventions could mitigate the impact of these stressors. The study also highlighted the importance of maintaining social connections even while physically distancing.

Cognitive performance of post-covid patients in mild, moderate, and severe clinical situations

BACKGROUND

Studying individuals with varying symptoms, from mild to severe, can provide valuable insights into the spectrum of cognitive outcomes after COVID-19. We investigated the cognitive performance of adults who recovered from the novel coronavirus disease (COVID-19) without prior cognitive complaints, considering mild (not hospitalized), moderate (ward), and severe (intensive care unit) symptoms.

METHODS

This cross-sectional study included 302 patients who recovered from COVID-19 (mild, n = 102; moderate, n = 102; severe, n = 98). We assessed intellectual quotient (IQ), attention, memory, processing speed, visual-constructive ability, as well as symptoms of depression, anxiety, and stress, at least eighteen months after infection. The mean length of hospitalization was Mdays=8.2 (SD = 3.9) and Mdays=14.4 (SD = 8.2) in the moderate and severe groups, respectively.

RESULTS

Cognitive difficulties were present in all three groups: mild (n = 12, 11.7%), moderate (n = 40, 39.2%), and severe (n = 48, 48.9%). Using Multinomial Logistic Regression and considering the odds ratio, our results indicated that a one-point increase in sustained attention, visual memory, and working memory might decrease the odds of being categorized in the severe group by 20%, 24%, and 77%, respectively, compared to the mild group.

CONCLUSIONS

Our findings provide empirical evidence regarding the long-term cognitive effects of COVID-19, particularly in individuals experiencing severe manifestations of the disease. We also highlighted the need for a comprehensive, multidimensional approach in rehabilitation programs to address the enduring cognitive impacts of COVID-19.

Neurocognitive Impairment in Post-COVID-19 Condition in Adults: Narrative Review of the Current Literature

The severe acute respiratory syndrome coronavirus 2 virus has, up to the time of this article, resulted in >770 million cases of COVID-19 illness worldwide, and approximately 7 million deaths, including >1.1 million in the United States. Although defined as a respiratory virus, early in the pandemic, it became apparent that considerable numbers of people recovering from COVID-19 illness experienced persistence or new onset of multi-system health problems, including neurologic and cognitive and behavioral health concerns. Persistent multi-system health problems are defined as Post-COVID-19 Condition (PCC), Post-Acute Sequelae of COVID-19, or Long COVID. A significant number of those with PCC report cognitive problems. This paper reviews the current state of scientific knowledge on persisting cognitive symptoms in adults following COVID-19 illness. A brief history is provided of the emergence of concerns about persisting cognitive problems following COVID-19 illness and the definition of PCC. Methodologic factors that complicate clear understanding of PCC are reviewed. The review then examines research on patterns of cognitive impairment that have been found, factors that may contribute to increased risk, behavioral health variables, and interventions being used to ameliorate persisting symptoms. Finally, recommendations are made about ways neuropsychologists can improve the quality of existing research.

Perceived social support, perceived stress, and quality of sleep among COVID-19 patients in Iran: assessing measurement invariance of the multidimensional scale of perceived social support across gender and age

Background

Perceived social support (PSS) plays a considerable role in mental health. The Multidimensional Scale of Perceived Social Support (MSPSS) is one of the most widely used scales, leading to much research evidence. The present study investigated its measurement model, equivalence across gender (male and female) and age groups (older patients= above 60 and non-older patients= below 60), and concurrent validity.

Methods

A cross-sectional survey was conducted between March and October 2020, on patients hospitalized due to COVID-19 in Tehran, Iran. The scales were administered to 328 COVID-19 patients (54.6% male, aged 21 to 92) from two general hospitals; participants completed MSPSS (including friends, family, and significant others subscales), Pittsburgh Sleep Quality Index (PSQI, include sleep latency, subjective sleep quality, habitual sleep efficiency, sleep duration, use of sleep medication, daytime dysfunction, and sleep disturbances subscales), and the Perceived Stress Scale-10 (PSS-10, to assess patients' appraisal of stressful conditions).

Results

The MSPSS three-factor structure was confirmed among COVID-19 patients by Confirmatory Factor Analysis (CFA). The results support the MSPSS internal consistency and configural, metric, and scalar invariance across gender and age groups. Nevertheless, small but significant differences were found across ages based on the latent factor mean of the MSPSS from friends, with a lower mean level in older patients. The coefficients of Cronbach's alpha (ranging from.92 to.96), the ordinal theta (ranging from.95 to.98), and Omega (ranging from.93 to.97) suggested high internal consistency of MSPSS. The concurrent validity of MSPSS was evidenced by its significant negative correlation with PSS-10 (τb = -.13, p <.01) and also subjective sleep quality (τb = -.22, p <.01), sleep disturbances (τb = -.26, p <.001), and daytime dysfunction (τb = -.26, p <.001).

Conclusions

The MSPSS was valid and reliable for measuring individuals' perception of social support between males and females and older and non-older COVID-19 patients.

The Fatigue and Altered Cognition Scale among SARS-CoV-2 Survivors: Psychometric Properties and Item Correlations with Depression and Anxiety Symptoms

Background/Objectives: This study examined the psychometric properties of the Fatigue and Altered Cognition Scale (FACs) among adult COVID-19 survivors and its unique ability to assess symptomology not accounted for by measures of depression and anxiety. Methods: COVID-19 survivors completed an online survey that included the FACs, a measure of brain fog and central fatigue with 20 items rated on a digital-analog scale. Useable data from 559 participants were analyzed to test the two-factor structure of the FACs, test for measurement invariance by sex and device was used to complete the survey (hand-held, computer), and item correlations with symptoms of depression and anxiety were examined. Results: The two-factor structure of the FACs replicated, supporting the separate assessments of brain fog and fatigue, χ2(164) = 1028.363, p < 0.001, CFI = 0.934, TLI = 0.923, RMSEA = 0.097, SRMR = 0.053. The FACs exhibited invariance at the scalar level, indicating item and factor integrity regardless of sex and device type. Using a correlation > 0.70 as a criterion (i.e., indicating more than 50% shared variance between two items), items on the FACs (assessing fatigue and lack of energy) were highly correlated with feeling tired or having little energy on the depression measure. No other items correlated with any anxiety symptom larger than 0.70. Conclusions: The FACs appears to be a psychometrically sound and efficient measure for use with COVID-19 survivors, assessing symptoms of brain fog and central fatigue that are not attributable to symptoms assessed by established measures of depression and anxiety.

Prevalence and risk factors of anxiety and depression in patients with multi-drug/rifampicin-resistant tuberculosis

Background

Mental health disorders in patients with multi-drug or rifampicin-resistant tuberculosis (MDR/RR-TB) receive consistent attention. Anxiety and depression can manifest and may impact disease progression in patients with MDR/RR-TB. Given the heightened stressors resulting from the COVID-19 pandemic, this scenario is even more concerning.

Objective

To evaluate the prevalence of and risk factors associated with anxiety and depression among patients with MDR/RR-TB in southern China.

Methods

A facility-based cross-sectional study was undertaken at Guangzhou Chest Hospital in southern China, encompassing a cohort of 219 patients undergoing outpatient and inpatient treatment for MDR/RR-TB. Anxiety and depressive symptoms were assessed using the 7-Item Generalized Anxiety Disorder (GAD-7) scale and Patient Health Questionnaire-9 (PHQ-9). The ramifications of anxiety and depression were examined using univariate and multivariate logistic regression analyses, with odds ratios (ORs) and age- and sex-adjusted ORs (AORs) employed to quantify their influence. All data underwent statistical analysis using SPSS 25.0, with statistical significance established at P < 0.05.

Results

Two hundred and nineteen individuals with MDR/RR-TB were included in the study. The prevalence of anxiety and depression was 57.53% (n = 126) and 65.75% (n = 144), respectively, with 33.3% (n = 73) of the participants experiencing both conditions simultaneously. Multivariate logistic regression analysis revealed that an age of 20-40 years [anxiety AOR = 3.021, 95% confidence interval (CI): 1.240-7.360; depression AOR = 3.538, 95% CI: 1.219-10.268], disease stigma (anxiety AOR = 10.613, 95% CI: 2.966-37.975; depression AOR = 4.514, 95% CI: 2.051-10.108) and poor physical health (anxiety AOR = 7.636, 95% CI: 2.938-19.844; depression AOR = 6.190, 95% CI: 2.468-15.529) were significant risk factors for moderate levels of anxiety and depression.

Conclusions

We found that individuals with MDR/RR-TB had an elevated risk of anxiety and depression. To decrease the likelihood of unfavorable treatment outcomes, it is imperative to carefully monitor the psychological wellbeing of patients with MDR/RR-TB and promptly address any detrimental psychiatric conditions.

A comparative study of anxiety and depression among healthcare workers and non-healthcare workers in Johor, Malaysia during the Covid-19 era

The outbreak of Coronavirus disease 2019 (Covid-19) has a significant impact on the mental health of the global population. Updates are needed regarding the mental health status among the local population since limited studies were done so far. This research compared the prevalence of anxiety and depression symptoms among HCWs and non-HCWs. We also evaluated the factors associated with anxiety and depression symptoms among these 2 groups. This was a cross-sectional study conducted between September to December 2022. Online questionnaire was distributed to HCWs from 2 tertiary government hospitals. Non-HCWs from various occupational fields were recruited randomly. Generalised Anxiety Disorder 7 (GAD-7) and Patient Health Questionnaire 9 (PHQ-9) were used to screen for anxiety and depression symptoms respectively. Data were analyzed using IBM SPSS version 28.0. 200 questionnaires were distributed to HCWs and non-HCWs respectively. The response rate was 74.5% from HCWs and 82.5% from non-HCWs (P = .07). A total of 236 individuals (105 HCWs and 131 non-HCWs) were included in the study. Majority were female, married, highly educated and worked more than 8 hours per day. There was no significant difference for the prevalence of anxiety (37.2% vs 44.3%, P = .34) and depression symptoms (37.3% vs 35.1%, P = .75) between HCWs and non-HCWs. Among HCWs, poor workplace support (P = .009) and low income (P = .04) were associated with anxiety symptoms. Younger age (P = .02), single status (P = .01) and poor workplace support (P = .006) were associated with depression symptoms. More non-HCWs with a higher educational level were having anxiety and depression symptoms. Single status (P = .03), working away from home (P = .02), poor family support (P = .03) and quarantine as Covid-19 close contact (P = .04) were also associated with depression symptoms among non-HCWs. There is no significant difference between HCWs and non-HCWs experiencing possible anxiety or depressive symptoms in this study. However, attention should be paid to address associated factors identified among each group to promote good mental health.

Effects of exercise therapy on anxiety and depression in patients with COVID-19: a systematic review and meta-analysis

Objective

With increasing rates of anxiety and depression during COVID-19, exercise treatment has drawn attention for its effects on COVID-19 patients with anxiety and depression. This study set out to assess the impact of exercise therapy on COVID-19 patients' anxiety and depression.

Methods

PubMed, EMBASE, Web of Science and Cochrane Library were used to search articles about exercise therapy as a means of treating anxiety and depression in COVID-19 patients from inception to April 30, 2023. The risk of bias was assessed by the Cochrane Collaboration bias risk tool. Data were pooled with the random effects model. RevMan version 5.4 was used for the statistical analyses. This work was registered in the PROSPERO database (registration number: CRD42023406439).

Selection criteria

Randomized clinical trials (RCTs) of COVID-19 patients with anxiety and depression were included to assess the impact of physical exercise on COVID-19 patients with anxiety and depression.

Results

6 studies including a total of 461 COVID-19 patients were analyzed in this meta-analysis. Overall, the meta-analysis showed that compared with the control group, exercise could significantly improve anxiety (SMD = -0.76; 95%CI: -0.96, -0.55; p < 0.00001), depression level (SMD = -0.39; 95%CI: -0.70, -0.09; p = 0.01), the PHQ-9 score (MD = -1.82; 95%CI: -2.93, -0.71; p = 0.001) and the sleep quality (SMD = -0.73; 95%CI: -1.32, -0.14; p = 0.01) in COVID-19 patients.

Conclusion

The research provided evidence that exercise therapy is able to help COVID-19 patients experience less anxiety and depression and have better-quality sleep.

Systematic review registration

CRD42023406439.

Drawing the COVID-19 pandemic: how do children incorporate the health crisis and its consequences into their everyday thinking?

OBJECTIVE

The general objective of this research was to explore how children understand and represent COVID-19 health crisis in their everyday thinking.

DESIGN

This research is based on a qualitative interpretive research methodology that uses 6-12 years children's drawings from San Sebastian (Basque Country, northern of Spain) to collect data. This technique allows children to visualize how they face this situation through a tool that promotes expression of their feelings and representations.

RESULTS

A total of 345 drawings were collected, and 949 elements related to the different coded categories were coded. The themes that have arisen were related to symbols of the pandemic (n = 307, 32.34%), emotions (n = 290, 30.55%), actions carried out (n = 258, 27.18%) and socialization (n = 94, 9.90%). No differences by age-range were found.

CONCLUSIONS

Children have a realistic representation of the COVID-19 virus and its consequences, which closely resembles the representation shown by the media and society. The children show a good understanding of the new measures and social rules associated with the pandemic. They are also very aware of the need to support their emotions by different spheres (family, educational and social context). Alternative play activities and art-based education must be promoted, avoiding the abuse of screens to reinforce their well-being.

[Interaction of somatic findings and psychiatric symptoms in COVID-19. A scoping review]

An infection with SARS-CoV‑2 can affect the central nervous system, leading to neurological as well as psychiatric symptoms. In this respect, mechanisms of inflammation seem to be of much greater importance than the virus itself. This paper deals with the possible contributions of organic changes to psychiatric symptomatology and deals especially with delirium, cognitive symptoms, depression, anxiety, posttraumatic stress disorder and psychosis. Processes of neuroinflammation with infection of capillary endothelial cells and activation of microglia and astrocytes releasing high amounts of cytokines seem to be of key importance in all kinds of disturbances. They can lead to damage in grey and white matter, impairment of cerebral metabolism and loss of connectivity. Such neuroimmunological processes have been described as a organic basis for many psychiatric disorders, as affective disorders, psychoses and dementia. As the activation of the glia cells can persist for a long time after the offending agent has been cleared, this can contribute to long term sequalae of the infection.

The prevalence and risk of depression in aged COVID-19 survivors: a bibliometric and meta-analysis

To explore depression prevalence and related risk factors among elderly coronavirus disease 2019 (COVID-19) survivors, while also evaluating research characteristics. We searched Web of Science, PubMed, Embase, Scopus, CNKI and Wanfang Data for studies that reported COVID-19 and depression in older adults. 'Bibliometrix' facilitated bibliometric analysis and information visualisation. Random-effects models merged depression prevalence and relevant risks. Publication bias and its impact were examined using funnel plots, Begg's test, Egger's linear regression, and trim-and-fill method. Meta-regression, bubble plots, and Baujat plots probed heterogeneity. Sensitivity analysis applied the leave-one-out method. The study is registered with PROSPERO, CRD42023417706. The bibliometric analysis comprised 138 studies. Publication frequency peaked in the US, China, and Italy, reflecting significant growth. The meta-analysis comprised 43 studies. Elderly COVID-19 patients exhibit 28.33% depression prevalence (95% CI: 21.24-35.97). Severe cases (43.91%, 95% CI: 32.28-55.88) experienced higher depression prevalence than mild cases (16.45%, 95% CI: 11.92-21.50). Sex had no depression prevalence impact based on bubble plots. Notably, depression risk did not significantly differ between elderly and young COVID-19 patients (odds ratio (OR) = 1.1808, 95% CI: 0.7323-1.9038). However, COVID-19 infection emerged as a substantial elderly depression risk factor (OR = 1.8521, 95% CI: 1.2877-2.6639). Sensitivity analysis confirmed result robustness. Elderly COVID-19 survivors are likely to develop depression symptoms with regional variations. Severe cases are associated with heightened depression prevalence. COVID-19 infection stands out as a key elderly depression risk factor, while sex does not influence prevalence. The field's expansion necessitates sustained collaboration and extensive research endeavours.

Are the presence of asthma and the COVID-19 infection associated with behavioral changes in Lebanese adolescents?

BACKGROUND

Little evidence is available about psychological stressors in Lebanese asthmatic adolescents, where health-risk behaviors are a serious threat to public health. In addition, the COVID-19 epidemic has had a substantial influence on adolescents' mental health globally, especially in Lebanon, where the ongoing economic and political challenges have largely impacted their psychological well-being. This study aimed to explore the association of asthma and the COVID-19 infection with behaviors among Lebanese adolescents.

METHODS

Data were collected in July 2023, using the snowball sampling technique. Inclusion criteria for participation in the study included being of a resident and citizen of Lebanon and aged 12-18 years. Behavioral problems were assessed using the Youth Self-Report (YSR) scale, which yields nine subscales (anxious/depressed, withdrawn/depressed, somatic complaints, social problems, thought problems, attention problems, rule-breaking behavior, aggressive behavior, and other problems) and a total score.

RESULTS

Asthma was significantly associated with somatic complaints (Beta [β] = 2.98), attention problems (β = 0.01), and other behavioral problems (β = 0.68). Having contracted the COVID-19 infection, compared to healthy asymptomatic state (β = 1.55), was significantly associated with more anxious behaviors. In the case of stratifying the analysis in terms of gender, the results showed that the presence of asthma was significantly associated with more social behaviors (β = 3.31), thought problems (β = 2.91), attention problems (β = 0.02), other behavioral problems (β = 1.71), and total behavioral problems (β = 5.71) in males. In case stratifying the analysis as to school type, the presence of asthma was significantly associated with more somatic complaints (β = 2.77) in participants from private schools whereas it was significantly associated with more total behavioral problems (total YSR scores) (β = 5.05) in participants from public schools.

CONCLUSION

It is confirmed that asthma and psychiatric disorders are interconnected, so it would be of great importance to include screening through a psychological intervention in treating asthmatic adolescents by means of (1) recognizing factors affecting patients' mental health, and (2) regulating uncontrolled behaviors that can exacerbate symptoms in order to avoid the future morbidity.

Updated Clinical Practice Guidelines for the Diagnosis and Management of Long COVID

"Long COVID" is a term used to describe a condition when the symptoms and signs associated with coronavirus disease 2019 (COVID-19) persist for more than three months among patients infected with COVID-19; this condition has been reported globally and poses a serious public health issue. Long COVID can manifest in various forms, highlighting the need for appropriate evaluation and management by experts from various fields. However, due to the lack of clear clinical definitions, knowledge of pathophysiology, diagnostic methods, and treatment protocols, it is necessary to develop the best standard clinical guidelines based on the scientific evidence reported to date. We developed this clinical guideline for diagnosing and treating long COVID by analyzing the latest research data collected from the start of the COVID-19 pandemic until June 2023, along with the consensus of expert opinions. This guideline provides recommendations for diagnosis and treatment that can be applied in clinical practice, based on a total of 32 key questions related to patients with long COVID. The evaluation of patients with long COVID should be comprehensive, including medical history, physical examination, blood tests, imaging studies, and functional tests. To reduce the risk of developing long COVID, vaccination and antiviral treatment during the acute phase are recommended. This guideline will be revised when there is a reasonable need for updates based on the availability of new knowledge on the diagnosis and treatment of long COVID.

Insomnia among coronavirus disease 2019 survivors: A single-center cross-sectional study

Since the coronavirus disease 2019 (COVID-19) epidemic, insomnia has become one of the longer COVID-19 symptoms. This study aimed to investigate insomnia among COVID-19 survivors and explore the occurrence and influencing factors of insomnia. A cross-sectional study was performed from December 2022 to February 2023 through an online questionnaire star survey with 8 questions. The insomnia severity index scale (ISI) was used to assess the severity of insomnia. Univariate analysis was used to analyze the factors related to COVID-19 infection. A total of 564 participants (183 males and 381 females) were surveyed in the present study. The prevalence of insomnia was 63.12%. Among these insomnia patients, there were 202 (35.82%) with sub-threshold symptoms, 116 (20.57%) with moderate symptoms, and 38 (6.74%) with severe symptoms. Univariate analysis indicated that there were statistically significant differences in the prevalence of insomnia among COVID-19 survivors of different ages, occupations, and educational levels (P < .05). Of the 356 insomnia patients, 185 (51.97%) did not take any measures against insomnia, while those who took drugs only, physical exercise only, drugs and physical exercise, and other measures were 90 (25.28%), 42 (11.80%), 17 (4.78%), and 22 (6.18%), respectively. Additionally, of the 107 insomnia patients with drug therapy, 17 (15.89%) took estazolam, 16 (14.95%) took alprazolam, 39 (36.45%) took zopiclone, and 35 (32.71%) took other drugs to improve insomnia symptoms. The prevalence of insomnia symptoms remains high among COVID-19 survivors in China. Education level and occupation may be the influencing factors. Unfortunately, most patients with insomnia do not take corresponding treatment measures.

Unmet needs in mental healthcare for women with clinically significant symptoms of perinatal depression and/or anxiety during the COVID-19 pandemic

OBJECTIVE/BACKGROUND

Unmet needs in perinatal mental healthcare are an important public health issue particularly in the context of a stressful life event such as the COVID-19 pandemic but data on the extent of this problem are needed.

AIM

The aim of this study is to determine the (1) proportion of women with clinically significant symptoms of perinatal depression, anxiety or comorbid symptoms of depression and anxiety, receiving mental healthcare overall and by country and (2) factors associated with receiving mental healthcare.

METHOD

Women in the perinatal period (pregnancy or up to 6 months postpartum) participating in the Riseup-PPD-COVID-19 cross-sectional study, reported on sociodemographic, social support health-related factors, and COVID-19 related factors, and on symptoms of depression (Edinburgh Postnatal Depression Scale [EPDS]) and anxiety (Generalised Anxiety Disorder [GAD-7]) using self-report questionnaires. Clinically significant symptoms were defined as EPDS ≥ 13 for depression and GAD-7 ≥ 10 for anxiety. Mental healthcare was defined as self-reported current mental health treatment.

RESULTS

Of the 11 809 participants from 12 countries included in the analysis, 4 379 (37.1%) reported clinically significant symptoms of depression (n = 1 228; 10.4%; EPDS ≥ 13 and GAD-7 ⟨ 10), anxiety (n = 848; 7.2%; GAD-7 ≥ 10 and EPDS ⟨ 13) or comorbid symptoms of depression and anxiety (n = 2 303; 19.5%; EPDS ≥ 13 and GAD-7 ≥ 10). Most women with clinically significant symptoms of depression, anxiety, or comorbid symptoms of depression and anxiety were not receiving mental healthcare (89.0%). Variation in the proportion of women with clinically significant symptoms of depression and/or anxiety reporting mental healthcare was high (4.7% in Turkey to 21.6% in Brazil). Women in the postpartum (vs. pregnancy) were less likely (OR 0.72; 95% CI 0.59-0.88), whereas women with previous mental health problems (vs. no previous mental health problems) (OR 5.56; 95% CI 4.41-7.01), were more likely to receive mental healthcare.

CONCLUSION

There are high unmet needs in mental healthcare for women with clinically significant symptoms of perinatal depression and/or anxiety across countries during the COVID-19 pandemic. Studies beyond the COVID-19 pandemic and covering the whole range of mental health problems in the perinatal period are warranted to understand the gaps in perinatal mental healthcare.

Structural Characterization and Antidepressant-like Effects of Polygonum sibiricum Polysaccharides on Regulating Microglial Polarization in Chronic Unpredictable Mild Stress-Induced Zebrafish

Polysaccharides are one of the main active ingredients of Polygonum sibiricum (PS), which is a food and medicine homolog used throughout Chinese history. The antidepressant-like effects of PSP and its underlying mechanisms remain elusive, especially the regulation of microglial polarization. The current study determined the chemical composition and structural characteristics of PSP. Then, the chronic unpredictable mild stress (CUMS) procedure was carried out on the zebrafish for 5 weeks, and PSP was immersed for 9 days (1 h/d). The body weight of zebrafish was monitored, and behavioral tests, including the novel tank test and light and dark tank test, were performed to evaluate the antidepressant-like effects of PSP. Then, the function of the hypothalamic-pituitary-interrenal (HPI) axis, the levels of peripheral inflammation, neuronal and blood-brain barrier damage in the mesencephalon and telencephalon, and the mRNA expression of M1/M2 phenotype genes in the brain were examined. PSP samples had the typical structural characteristics of polysaccharides, consisting of glucose, mannose, and galactose, with an average Mw of 20.48 kDa, which presented porous and agglomerated morphologies. Compared with untreated zebrafish, the depression-like behaviors of CUMS-induced zebrafish were significantly attenuated. PSP significantly decreased the levels of cortisol and pro-inflammatory cytokines and increased the levels of the anti-inflammatory cytokines in the body of CUMS-induced depressive zebrafish. Furthermore, PSP remarkably reversed the neuronal and blood-brain barrier damage in the mesencephalon and telencephalon and the mRNA expression of M1/M2 phenotype genes in the brain. These findings indicated that the antidepressant-like effects of PSP were related to altering the HPI axis hyperactivation, suppressing peripheral inflammation, inhibiting neuroinflammation induced by microglia hyperactivation, and modulating microglial M1/M2 polarization. The current study provides the foundations for future examinations of PSP in the functional foods of emotional regulation.

The Inter-Relationships Between Depressive Symptoms and Suicidality Among Macau Residents After the "Relatively Static Management" COVID-19 Strategy: A Perspective of Network Analysis

Background

Suicidality is a global public health problem which has increased considerably during the coronavirus disease 2019 (COVID-19) pandemic. This study examined the inter-relationships between depressive symptoms and suicidality using network analysis among Macau residents after the "relatively static management" COVID-19 strategy.

Methods

An assessment of suicidal ideation (SI), suicide plan (SP), suicide attempt (SA) and depressive symptoms was conducted with the use of individual binary response items (yes/no) and Patient Health Questionnaire (PHQ-9). In the network analysis, central and bridge symptoms were identified in the network through "Expected Influence" and "Bridge Expected Influence", and specific symptoms that were directly associated with suicidality were identified via the flow function. Network Comparison Tests (NCT) were conducted to examine the gender differences in network characteristics.

Results

The study sample included a total of 1008 Macau residents. The prevalence of depressive symptoms and suicidality were 62.50% (95% CI = 59.4-65.5%) and 8.9% (95% CI = 7.2-10.9%), respectively. A network analysis of the sample identified SI ("Suicidal ideation") as the most central symptom, followed by SP ("Suicide plan") and PHQ4 ("Fatigue"). SI ("Suicidal ideation") and PHQ6 ("Guilt") were bridge nodes connecting depressive symptoms and suicidality. A flow network revealed that the strongest connection was between S ("Suicidality") and PHQ6 ("Guilt"), followed by S ("Suicidality") and PHQ 7 ("Concentration"), and S ("Suicidality") and PHQ3 ("Sleep").

Conclusion

The findings indicated that reduction of specific depressive symptoms and suicidal thoughts may be relevant in decreasing suicidality among adults. Further, suicide assessment and prevention measures should address the central and bridge symptoms identified in this study.

Evaluation of the psychometrics of the Social Impact Scale and its association with depression among asymptomatic COVID-19 carriers

BACKGROUND

COVID-19 carriers experience psychological stresses and mental health issues such as varying degrees of stigma. The Social Impact Scale (SIS) can be used to measure the stigmatisation of COVID-19 carriers who experience such problems.

AIMS

To evaluate the reliability and validity of the Chinese version of the SIS, and the association between stigma and depression among asymptomatic COVID-19 carriers in Shanghai, China.

METHOD

A total of 1283 asymptomatic COVID-19 carriers from Shanghai Ruijin Jiahe Fangcang Shelter Hospital were recruited, with a mean age of 39.64 ± 11.14 years (59.6% male). Participants completed questionnaires, including baseline information and psychological measurements, the SIS and Self-Rating Depression Scale. The psychometrics of the SIS and its association with depression were examined through exploratory factor analysis, confirmatory factor analysis and receiver operating characteristic analysis.

RESULTS

The average participant SIS score was 42.66 ± 14.61 (range: 24-96) years. Analyses suggested the model had four factors: social rejection, financial insecurity, internalised shame and social isolation. The model fit statistics of the four-factor SIS were 0.913 for the comparative fit index, 0.902 for the Tucker-Lewis index and 0.088 for root-mean-square error of approximation. Standard estimated factor loadings ranged from 0.509 to 0.836. After controlling for demographic characteristics, the total score of the 23-item SIS predicted depression (odds ratio: 1.087, 95% CI 1.061-1.115; area under the curve: 0.84, 95% CI 0.788-0.892).

CONCLUSIONS

The Chinese version of the SIS showed good psychometric properties and can be used to assess the level of perceived stigma experienced by asymptomatic COVID-19 carriers.

Therapeutic potential and possible mechanisms of ginseng for depression associated with COVID-19

Recently, a global outbreak of COVID-19 has rapidly spread to various national regions. As the number of COVID-19 patients has increased, some of those infected with SARS-CoV-2 have developed a variety of psychiatric symptoms, including depression, cognitive impairment, and fatigue. A distinct storm of inflammatory factors that contribute to the initial disease but also a persistent post-acute phase syndrome has been reported in patients with COVID-19. Neuropsychological symptoms including depression, cognitive impairment, and fatigue are closely related to circulating and local (brain) inflammatory factors. Natural products are currently being examined for their ability to treat numerous complications caused by COVID-19. Among them, ginseng has anti-inflammatory, immune system stimulating, neuroendocrine modulating, and other effects, which may help improve psychiatric symptoms. This review summarizes the basic mechanisms of COVID-19 pneumonia, psychiatric symptoms following coronavirus infections, effects of ginseng on depression, restlessness, and other psychiatric symptoms associated with post-COVID syn-dromes, as well as possible mechanisms underlying these effects.

The incidence of dental fractures in the Italian population during the COVID-19 pandemic: An observational study

Background

The COVID-19 infection has become a pandemic after breaking out in China in the past months of 2019 and spreading rapidly worldwide. To counter this pandemic, several governments worldwide have taken several drastic measures to try to stop the spread of the virus, including a very strict lockdown that has caused a sudden and, in many cases, negative change in people's daily lives. In the literature, several studies have shown how the pandemic has significantly impaired many people's mental health, causing short- and long-term stress, anxiety, and sleep disturbances.

Introduction

This study aims to analyze the correlation between the stress caused by the COVID-19 pandemic and the parafunctions of the temporomandibular joint and masticatory muscles, which in turn, have led to an increase in the incidence of fractures and dental injuries. The ultimate goal is to understand the best choice the dentist must make in the preventive and therapeutic fields.

Materials and Methods

A questionnaire called "Incidence of tooth fractures during the COVID-19 pandemic" was prepared using the Google® Forms platform. This questionnaire consists of 13 questions. This electronic questionnaire was addressed to all dentists in the Campania Region (ITA) and disseminated through social networks such as WhatsApp® or Facebook® or E-mail.

Results

A total of 730 dentists completed the survey. Of these, 450 (61.7%) stated that the number of patients reporting muscle and joint pain in the morning had increased during the COVID-19 pandemic. 414 (56.7%) dentists noted an increase in parafunction and 392 (53.6%) an increase in dental fractures during the pandemic period.

Discussion and Conclusions

As can be seen from the study results, an important correlation was found between the stress resulting from the COVID-19 pandemic and dental fractures. The dental elements treated endodontically, depending on the extent of the damage, require restoration, which is also the best preventive strategy in the case of dental fractures.

Coronavirus disease 2019 is associated with long-term depressive symptoms in Spanish older adults with overweight/obesity and metabolic syndrome

BACKGROUND

The coronavirus disease 2019 (COVID-19) has serious physiological and psychological consequences. The long-term (>12 weeks post-infection) impact of COVID-19 on mental health, specifically in older adults, is unclear. We longitudinally assessed the association of COVID-19 with depression symptomatology in community-dwelling older adults with metabolic syndrome within the framework of the PREDIMED-Plus cohort.

METHODS

Participants (n = 5486) aged 55-75 years were included in this longitudinal cohort. COVID-19 status (positive/negative) determined by tests (e.g. polymerase chain reaction severe acute respiratory syndrome coronavirus 2, IgG) was confirmed via event adjudication (410 cases). Pre- and post-COVID-19 depressive symptomatology was ascertained from annual assessments conducted using a validated 21-item Spanish Beck Depression Inventory-II (BDI-II). Multivariable linear and logistic regression models assessed the association between COVID-19 and depression symptomatology.

RESULTS

COVID-19 in older adults was associated with higher post-COVID-19 BDI-II scores measured at a median (interquartile range) of 29 (15-40) weeks post-infection [fully adjusted β = 0.65 points, 95% confidence interval (CI) 0.15-1.15; p = 0.011]. This association was particularly prominent in women (β = 1.38 points, 95% CI 0.44-2.33, p = 0.004). COVID-19 was associated with 62% increased odds of elevated depression risk (BDI-II ≥ 14) post-COVID-19 when adjusted for confounders (odds ratio; 95% CI 1.13-2.30, p = 0.008).

CONCLUSIONS

COVID-19 was associated with long-term depression risk in older adults with overweight/obesity and metabolic syndrome, particularly in women. Thus, long-term evaluations of the impact of COVID-19 on mental health and preventive public health initiatives are warranted in older adults.

Cognitive impairment after recovery from COVID-19: Frequency, profile, and relationships with clinical and laboratory indices

Cognitive impairment (CI) is regarded as a remarkable burden in COVID-19 survivors. Its prevalence and profile, and relationships with the disease clinical and laboratory indices, remain unclear. The present study investigated, in a large sample of patients recovered from COVID-19, the frequency of CI with both a face-to-face screening tool and comprehensive test battery (MCCB). The study also evaluated the profile of CI and its relationships with COVID-19 clinical and laboratory indices and with psychopathological features. Out of 1344 subjects assessed for eligibility, 736 completed the screening phase 11 months after the COVID-19 infection; 402 participated in the baseline phase and completed an in depth cognitive, clinical and laboratory assessment about one month later. More than one third of the screened subjects presented a CI (COG+); it was associated to age, education, male gender, COVID-19 severity, and presence of anosmia, dyspnea at rest and exertional dyspnea during the acute phase. COG+ subjects showed a higher severity of depression, anxiety and post-traumatic distress, and worse global functioning, than subjects without CI. The MCCB showed that 45% of the subjects had a CI involving attention, working memory, verbal learning, visual learning, and reasoning and problem solving. Finally, neurocognitive functioning was inversely correlated with LDH blood levels, a potential biomarker of disease severity. According to our findings, cognitive functioning should be routinely and periodically assessed in COVID-19 patients, especially in older subjects, who experienced more severe COVID-19 symptoms. In case of persisting dysfunctions cognitive training programs should be considered as treatment strategies.

Insomnia and sleep characteristics in post COVID-19 fatigue: A cross-sectional case-controlled study

OBJECTIVE

Following COVID-19 many patients report persistent fatigue and insomnia. Given the overlapping features, insomnia can be underdiagnosed in post-COVID-19 fatigue patients. This study aimed to determine insomnia severity, prevalence of clinical insomnia and sleep characteristics of post-COVID-19 fatigue patients. Data of post-COVID-19 fatigue patients were compared with those of patients with chronic fatigue syndrome (ME/CFS), a condition resembling post-COVID-19 fatigue.

METHODS

In this cross-sectional case-controlled study, insomnia severity, assessed with the Insomnia Severity Index (ISI), and prevalence of clinical insomnia (ISI score ≥ 10), were determined in patients with post-COVID-19 fatigue (n = 114) and compared with ME/CFS (n = 59) using ANCOVA and logistic regression, respectively. Linear regression analyses were used to evaluate whether mood, concentration problems, pain, fatigue (assessed with questionnaires) and diagnosis were associated with insomnia. Sleep characteristics were determined with a sleep diary and accelerometer in post-COVID-19 fatigue and compared with ME/CFS using ANCOVA.

RESULTS

In patients with post-COVID-19 fatigue mean (SD) insomnia severity was 11.46 (5.7) and 64% reported clinical insomnia. Insomnia severity was significantly associated with depressive symptoms (ß = 0.49, p = 0.006) and age (ß = 0.08, p = 0.04). The mean (SD) subjective sleep duration was 7.4 (1.0) hours with a sleep efficiency of 82 (11)%. Several subjective sleep characteristics of the post-COVID-19 fatigue patients differed from ME/CFS patients; only sleep duration, being significantly shorter in post-COVID-19 fatigue patients (p = 0.003), seemed clinically relevant (d = 0.58).

CONCLUSION

Insomnia severity and prevalence of clinical insomnia are high in patients with post-COVID-19 fatigue. Insomnia should be assessed and if present treated with insomnia focused therapy.

Paternal Prenatal and Lactation Exposure to a High-Calorie Diet Shapes Transgenerational Brain Macro- and Microstructure Defects, Impacting Anxiety-Like Behavior in Male Offspring Rats

Prenatal exposure to high-energy diets (HED) increases the susceptibility to behavioral alterations in the male offspring. We addressed whether prenatal HED primes the transgenerational inheritance of structural brain changes impacting anxiety/depression-like behavior in the offspring. For this, we used female Wistar rats exposed to a HED [cafeteria (CAF) diet, n = 6] or chow [control (CON) n = 6] during development. Anxiety and depression-like behavior were evaluated in filial 1 (F1), filial 2 (F2), and filial 3 (F3) male offspring using the open field (OFT), elevated plus maze, novelty suppressed feeding (NSFT), tail suspension (TST), and forced swimming tests. Structural brain changes were identified by deformation-based morphometry (DBM) and diffusion tensor imaging using ex vivo MRI. We found that the F1, F2, and F3 offspring exposed to CAF diet displayed higher anxious scores including longer feeding latency during the NSFT, and in the closed arms, only F1 offspring showed longer stay on edges during the OFT versus control offspring. DBM analysis revealed that CAF offspring exhibited altered volume in the cerebellum, hypothalamus, amygdala, and hippocampus preserved up to the F3 generation of anxious individuals. Also, F3 CAF anxious exhibited greater fractional anisotropy and axial diffusivity (AD) in the amygdala, greater apparent diffusion coefficient in the corpus callosum, and greater AD in the hippocampus with respect to the control. Our results suggest that prenatal and lactation exposure to HED programs the transgenerational inheritance of structural brain changes related to anxiety-like behavior in the male offspring.