A systematic review and meta-analysis on prevalence of and risk factors associated with depression, anxiety and insomnia in infectious diseases, including COVID-19: a call to action

Development and internal validation of a depressive symptoms prediction model among the patients with cardiovascular disease who have recovered from SARS-CoV-2 infection in Wuhan, China: a cross-sectional study

BACKGROUND

Middle-aged  and elderly patients with cardiovascular disease (CVD) who have recovered from SARS-CoV-2 infection may experience depressive symptoms due to the physical and psychological impact of the pandemic.

OBJECTIVE

To investigate the prevalence and predictors of depressive symptoms among the middle-aged and elderly with CVD who have recovered from SARS-CoV-2 infection in Wuhan, China, and to develop a prediction model for depressive symptoms.

METHODS

A cross-sectional study was conducted among 462 former SARS-CoV-2 middle-aged and elderly patients with CVD in Jianghan District, Wuhan, China from June 10 to July 25, 2021. Depressive symptoms were assessed by the Patient Health Questionnaire-9 (PHQ-9). Potential predictors of depressive symptoms were selected by the least absolute shrinkage and selection operator (LASSO) regression. A prediction model was developed by random forest (RF) and logistic regression models and compared by the area under the receiver operating characteristic curve (AUROC). The discrimination, calibration, and practical utility of the prediction model were evaluated by the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA). Bootstrap sampling was used for internal validation.

RESULTS

The prevalence of depressive symptoms among the participants was 35.93%. The prediction model included age, stethalgia after recovery, insomnia after recovery, post-traumatic stress disorder (PTSD), anxiety, fatigue, and perceived social support as predictors. The AUROC of the logistic regression model was 0.909 (95%CI: 0.879 ~ 0.939), indicating good discrimination. The calibration curve showed good calibration. The DCA showed that the prediction model had a net benefit for a wide range of risk thresholds. The internal validation confirmed the stability of the prediction model.

CONCLUSION

Depressive symptoms are common among middle-aged and elderly CVD patients who have recovered from SARS-CoV-2 infection in Wuhan, China. A prediction model with satisfactory performance was developed to estimate the risk of depressive symptoms among this population. Interventions targeting long COVID symptoms and social support should be considered to prevent depressive symptoms in CVD patients.

The characteristics of new-onset myasthenia gravis after COVID-19 outbreak: a cross-sectional study

BACKGROUND

Little research has been conducted on new-onset myasthenia gravis (MG) patients following the coronavirus disease 2019 (COVID-19) pandemic. COVID-19 surged in China on December 7th, 2022. This study aimed to explore the clinical characteristics of new-onset MG patients after COVID-19 and analyze factors affecting their disease improvement.

METHODS

All new-onset MG patients before (December 1st, 2021 to December 7th, 2022) and after COVID-19 outbreak (December 8th, 2022 to November 30th, 2023) were included in this study. Data was collected through the electronic medical record system and follow-up. Multivariate logistic regression was used to identify independent predictors of clinical improvement in patients with new-onset MG.

RESULTS

359 new-onset MG patients (165 before COVID-19 outbreak and 194 after COVID-19 outbreak) were enrolled in this study. After COVID-19 outbreak, there was an increase in new-onset MG patients, with more cases occurring within the first three months. The rates of pulmonary inflammation (40.28%), COVID-19 vaccination (88.14%), and treatment with tacrolimus (15.98%) and MG duration (15 weeks, IQR: 5.75, 32) were higher, while rates of thymectomy (13.92%), baseline MG-ADL (3, IQR: 3, 6), and QMGS (7, IQR: 5,8) were lower compared to new-onset MG patients before COVID-19 outbreak. Multivariate logistic regression analysis showed that age at onset (OR 0.964, p < 0.001), baseline MG-ADL (OR 1.611, p < 0.001), and ocular MG (OR 0.401, p = 0.041) were independent predictors of clinical improvement in new-onset MG after the COVID-19 outbreak.

CONCLUSION

In this single-center cross-sectional study, new-onset MG patients following the COVID-19 outbreak showed altered seasonal onset patterns, milder disease severity, and higher OMG onset age. Age at onset is an independently negative predictor of improvement in new-onset MG patients after the COVID-19 outbreak. Whereas baseline MG-ADL is an independently positive predictor.

Self-rated health habits, mental health, emotional intelligence, and impulsivity across the Baltic States

Introduction

The study aims to compare physical activity, sleep, body mass index (BMI), subjective health, stress, depression, impulsivity, and emotional intelligence across the Baltic countries while identifying key health determinants.

Methods

We interviewed men and women (18-64 years) in Estonia (n = 1,503) Latvia (n = 1,563) and Lithuania (n = 2,358) via an online survey.

Results

Obesity is most common among individuals in EE, both males and females, while the highest rates of overweight are observed in EE females and LT males. Sleep duration is comparable across the different countries, with women generally sleeping longer than men (p < 0.05). Sedentary behavior is shortest among LT females and LV males, although in all countries, females tend to sit more than males (p < 0.05). Moderate physical activity (MPA) levels are similar among males, but they are highest among EE females. In contrast, vigorous physical activity (VPA) is most prevalent in LV males and females. Emotional intelligence (EI) is lowest among LV females and EE males, while females consistently exhibit higher EI than males across all countries. Lithuanians frequently rate their health as "excellent" and show the lowest levels of impulsivity. Additionally, depression and stress are lowest in EE females and LV males. Estonians are more likely to eat breakfast regularly and tend to overeat less than their counterparts in LV and LT.

Conclusion

Our research clearly shows that perceived health among the Baltic countries is significantly inversely related to age, perceived stress, depression, and Body Mass Index (BMI). In contrast, we found positive associations between vigorous physical activity (VPA) and emotional intelligence (EI).

Renewable energy reduces domestic depression but increases depression for neighboring countries: evidence of spatial effects from 181 countries worldwide

BACKGROUND

Depression poses a significant global public health challenge, affecting millions of people worldwide. The utilization of renewable energy holds potential for improving mental health by reducing air pollution and promoting green spaces.

PURPOSE

This study aims to investigate the impact of renewable energy use on depression, with a focus on its spatial effects and the mediating roles of air pollution reduction and green space expansion.

METHODS

Data from 181 countries were analyzed using a two-way fixed effects model and the Spatial Durbin Model (SDM). Depression-related metrics, including Disability-Adjusted Life Years (DALYs), Age-Standardized Disability-Adjusted Life Years Rate (ASDR), prevalence, and Age-Standardized Prevalence Rate (ASPR), were evaluated.

RESULTS

Renewable energy use significantly reduces DALYs, ASDR, prevalence, and ASPR within a country, but it also significantly increases the risk of depression in neighboring countries. The impact of renewable energy on depression varies by gender, age, and SDI level, being more pronounced for males and the 50-74 age group. The effect is significant in high and low SDI countries but not in middle SDI countries, indicating a "middle-income trap."

CONCLUSION

Renewable energy can improve mental health by reducing air pollution and promoting green spaces. However, policymakers need to consider spatial effects and tailor policies accordingly to maximize health benefits.

Depression, anxiety, insomnia, and quality of life in hospitalized COVID-19 patients

OBJECTIVES

This study aimed to estimate the prevalence of anxiety, depression, and insomnia among hospitalized COVID-19 patients and explore factors associated with these conditions.

METHODS

This cross-sectional study was conducted in a COVID-19 cohort ward between July 2020 and December 2022. Patients completed a questionnaire via telephone interview or Google Forms during their admission period.

RESULTS

From 2020 to 2022, 270 patients who were hospitalized with COVID-19 consented to participate. The prevalence rates of depression, anxiety, and insomnia were 19.8%, 7%, and 6.7%. Preexisting psychiatric illness was associated with depression, anxiety, and insomnia. Patients with preexisting psychiatric illnesses tended to report low subjective depression scores. Factors associated with high subjective anxiety scores were hospitalization during the high disease prevalence period, a high level of education, and preexisting psychiatric illness. Patients with a substance abuse history tended to report low anxiety scores subjectively.

CONCLUSIONS

The rates of depression, anxiety, and insomnia among patients with COVID-19 in our study were lower than those in previous studies from the first year of the pandemic. Preexisting psychiatric illness was the major significant risk for depression, anxiety, and insomnia. Therefore, regular monitoring and early care for these patients are very important.

Differences in depression prevalence among older adults in China before and during the COVID-19 pandemic: a systematic review and meta-analysis

Objective

Changes in the prevalence of depression during the COVID-19 (Coronavirus disease 2019) pandemic among older adults in China have not been systematically evaluated. We aimed to systematically summarize existing evidence to conduct a meta-analysis to quantify changes in the prevalence of depression before and during the COVID-19 pandemic.

Methods

The PubMed, Web of Science, Scopus, Embase, PsycINFO, China National Knowledge Infrastructure (CNKI), WangFang Data, CQVIP, and China Biology Medicine disc (CBMdisc) databases were searched from January 1, 2017, to November 20, 2024. Studies reporting the prevalence of depression among Chinese individuals aged 60 or older using validated diagnostic tools were included. A random-effects model was applied to estimate pooled prevalence, with subgroup analyses performed by demographic and socio-economic factors. Relative risks (RR) were calculated to compare prevalence across different pandemic stages.

Results

A total of 101 studies involving 264,758 participants were included. The pooled prevalence of depression among older adults was 25.8% (95% CI [21.7-29.9]) from 2017-2019 and 23.8% (95% CI [19.8-27.8]) from 2020-2023. During the early pandemic stage (January-April 2020), prevalence significantly decreased (RR = 0.849, P < .001) but increased in later stages, reaching 24.4% by 2021-2023. The prevalence of depression among older adults during the COVID-19 pandemic showed a significant increasing trend (P trend  < .001). Subgroup analyses revealed higher prevalence among females, rural residents, individuals with lower education levels, and those living alone.

Conclusion

Depression prevalence among older adults in China decreased during the early pandemic response but showed an increasing trend over time, reflecting the complex mental health impact of prolonged public health measures. Effective interventions are needed to address the specific needs of vulnerable subgroups during and beyond public health crises.

What changed after two years of COVID-19: the PAMPA Cohort update profile and methodology

The PAMPA Cohort aimed to evaluate the long-term impact of the COVID-19 pandemic on the physical and mental health outcomes of adults. We present data from the fourth wave of the PAMPA Cohort, the updated cohort profile and methodology. The PAMPA Cohort is a prospective study initially designed to have three data collection waves (June 2020, December 2020, and June 2021). With the pandemic progression, three new waves were programmed in addition to the previous waves: 2022. 2023, and 2024. Participants answered about physical activity, mental health, low back pain, healthcare access, and COVID-19, among others. Overall, 2,691 participants answered the wave four. Physical activity levels increased, and symptoms of anxiety and depression were reduced compared to the first assessment. However, a high proportion of chronic diseases was observed, and one-third of participants experienced some degree of food insecurity. Additionally, three-quarters were classified as having long COVID. The indirect effects of the pandemic on both physical and mental health persist in the lives of individuals.

Protective and risk factors of anxiety in children and adolescents during COVID-19: A systematic review and three level meta-analysis

BACKGROUND

In order to gain a deepened understanding of the impact of public health emergency and to develop effective interventions and preventions, this study aimed to evaluate risk and protective factors associated with anxiety in children and adolescents and to explore potential moderators in the background of COVID-19 within the framework of socio-ecological model.

METHODS

A literature search was conducted in Web of Science, MEDLINE, PubMed, Scopus, EBSCO, ScienceDirect, Emerald, and CNKI for studies published from early 2020 to early 2023 that examined factors associated with anxiety among children and adolescents with age range of 6 to 17 years old. Random effects models and a three-level meta-analytic approach were used.

RESULTS

In total, 141 articles and 1,018,171 subjects were included, with 1002 effect sizes extracted. 32 protective factors and 48 risk factors were examined, yielding significance for 14 protective factors and 29 risk factors, including individual factors (e.g., gender, logOR = -0.37, 95 % CI [-0.47, -0.27], p < 0.001; age, logOR = -0.12, 95 % CI [-0.22, -0.02], p = 0.02; emotional functioning, logOR = -1.45, 95 % CI [-1.84, -1.05], p < 0.001; pre-existing condition logOR = 0.94, 95 % CI [0.58, 1.30], p < 0.001; electronic device or internet addiction, logOR = 1.81, 95 % CI [0.74, 2.88], p < 0.001), family factors (e.g., family socioeconomic status, logOR = -0.25, 95 % CI [-0.39, -0.10], p < 0.001; family functioning, logOR = -1.31, 95 % CI [-1.60, -1.02], p < 0.001; anxiety level of caregiver, logOR = 1.06, 95 % CI [0.75, 1.37], p < 0.001), community factors (e.g., overall social support, logOR = -0.93, 95 % CI [-1.84, -1.05], p < 0.001; school burden, logOR = 0.56, 95 % CI [0.21, 0.90], p = 0.002), and COVID-19-related factors (e.g., higher exposure risk in local community or city, logOR = 0.48, 95 % CI [0.17, 0.78], p = 0.002; distant learning, logOR = 0.73, 95 % CI [0.19, 1.28], p = 0.008; COVID-19-related distress, logOR = 1.42, 95 % CI [0.55, 2.29], p = 0.001;). The majority of studies showed no publication bias. Age group moderated the relationship between gender and level of anxiety (F (1,96) = 4.42, p = 0.038), and no other moderator showed significance.

LIMITATIONS

This study does not reveal causality but correlation in nature, and our findings should be interpretated with caution.

CONCLUSIONS

Public health emergencies could bring challenges to the mental health of children and adolescents. Prevention and intervention strategies for children and adolescents with high risks, and family-based and community-based programs should be encouraged to buffer the adverse impact on children and adolescents. This study has been prospectively registered at PROSPERO (registration number: CRD42022316746).

Two-years mothering into the pandemic: Impact of the three COVID-19 waves in the Argentinian postpartum women's mental health

The COVID-19 pandemic disproportionately affects certain vulnerable groups, including postpartum women. Thus, this work aimed to analyze the mental health evolution in Argentinian postpartum women during the first three waves of COVID-19 and its determinants. In this repeated cross-sectional study, data were collected during the three waves of COVID-19: May-July/2020 (n = 319), April-August/2021 (n = 340), and December/2021- March/2022 (n = 341). Postpartum depression, insomnia, and perceived stress symptoms were assessed using valid instruments. Statistical analyses included multivariate logistic regression, analysis of variance, and structural equation modeling to test for temporal trends in mental health indicators during the pandemic and to identify their determinants. The prevalence rates of postpartum depression and insomnia rose from 37% to 60% and 46% to 62%, respectively. In contrast, pandemic-related stress decreased. The following negative factors for maternal mental health were identified: unemployment status, lack of medical support, reduced family size, remote working, advanced maternal age, late postpartum, multiparity, and living in the least developed region of Argentina. Structural equation modeling confirmed a process of pandemic-stress adaptation, although there is a persistent increment of postpartum depression and consequent increased insomnia. Postpartum women's mental health worsened during the COVID-19 pandemic. Although women have become more able to cope and perceive less pandemic-related stress, its social and economic impact still persists and puts them at higher psychological risk. Thus, health systems must seek protection of women of reproductive age against negative factors in order to cope with pandemic-related events.

Magnitude and associated factors of common mental disorders among pregnant women during COVID-19 in Ethiopia: A systematic review and meta-analysis

BACKGROUND

Pregnant women have multiple psychological distresses and are psychologically fragile. In Ethiopia due to COVID-19 anxiety, depression and stress among pregnant women were increased. This study aimed to provide comprehensive data on the prevalence and associated factors of common mental disorders during COVID-19 in Ethiopia.

METHODS

Data were searched from PubMed, Google Scholar, and African Journals Online from the December 2019 to August 2024. Two researchers extracted the data and accomplished the methodological quality valuation independently. Random-effect model used to estimate the pooled effect size and I2 and Q-statistic were used to check heterogeneity. Stata 14.0 (Stata Corp, College Station, Texas, USA) was used for statistical analysis.

RESULTS

Eleven studies were included. From 6 studies the pooled prevalence of anxiety was 47% (95% confidence interval [CI] = 0.37 to 0.57, I2 = 96.00%, P < .001). Five studies reported about depression and the pooled prevalence was 32% (95% CI = 0.22 to 0.42, I2 = 96.00%, P < .001). Four studies reported about stress and the pooled prevalence was 26% (95% CI = 0.21 to 0.32, I2 = 94.7%, P < .001). Moreover, the associated factors of anxiety, depression and stress are summarized systematically.

CONCLUSION

COVID-19 pandemic highly affects mental health of pregnant women in Ethiopia. Anxiety, depression and stress were most reported mental health problems during the pandemic. Appropriate psychological counseling programs should be applied for pregnant women to prevent mental health problems.

Prenatal Mental Health and Its Stress-Process Mechanisms During a Pandemic Lockdown: A Moderated Parallel Mediation Model

OBJECTIVE

Hundreds of countries have implemented lockdown policies to slow the spread of coronavirus disease-2019 (COVID-19), but the impact of these measures on maternal mental health is not well understood.

METHODS

This study integrated a stress-process model to examine the pathways from lockdown-related stressors to prenatal psychological outcomes, with COVID-19 coping strategies (COP) and self-efficacy in managing negative affect (NEG) as mediators and lockdown duration, hours on pandemic-related information, and number of pregnancies as moderators. Pregnant women in Shanghai completed the Regulatory Emotional Self-Efficacy Scale, COVID-19 Coping Scale, Depression, Anxiety, and Stress Scale-21. Structural equation modeling (SEM) was used to test and modify the hypothetical model, and moderated mediation and slope analyses were undertaken.

RESULTS

In the final SEM demonstrating satisfactory fit, three stressors-decreased household income, insufficient daily supplies, and acquired infections-showed positive direct relationships with NEG and COP. Acquired infections, NEG, and COP were identified as direct predictors of mental health outcomes. The relationship between these three stressors and mental health was mediated by NEG and COP. Additionally, the number of pregnancies moderated the mediating effect of COP; this effect was more pronounced among first-time pregnant women than those with multiple pregnancies.

CONCLUSION

This study provides insights into how lockdown measures impact psychological outcomes in pregnant women quarantined at home. Interventions aimed at increasing coping strategies may be more effective for primiparous women during future public health emergencies.

All Properties of Infertility Microbiome in a Review Article

BACKGROUND

The microbiome is crucial for many physiological processes, including immunity, metabolism, and reproduction.

AIMS

This review aims to contribute to a detailed understanding of the microbiome of the genital tract, which can lead to better management of dysbiosis and reproductive disorders.

METHODS

Data from the four international information databases Medline, Scopus, Embase, and Google Scholar. The search strategy was based on the combination of the following terms: "microbiota," "microbiome," "microfilm," "microflora," "fertility," or "infertility."

RESULT

The advent of next-generation sequencing-based technologies during the last decade has revealed the presence of microbial communities in nearly every part of the human body, including the reproductive system. Several studies have shown significant differences between the microbiota of the vagina and endometrium, as well as other parts of the upper genital tract.

DISCUSSION

The human microbiome plays a critical role in determining a person's health state, and the microbiome of the genital tract may impact fertility potential before and after assisted reproductive treatments (ARTs).

CONCLUSION

To completely understand the role of the microbiome, future research should focus not only on the description of microbiota but also on the interaction between bacteria, the production of biofilms, and the interaction of microorganisms with human cells.

Effectiveness of psychological crisis interventions during infectious disease outbreaks in low- and middle-income countries: a systematic review of Randomized Control Trials

The huge mental health treatment gap in low- and middle-income countries (LMICs) is further exacerbated when infectious disease outbreaks occur. To address the increasing mental health needs during outbreaks, the availability of flexible and efficient mental health interventions is paramount, especially in low-resource settings where outbreaks are more common. Psychological interventions may help to address these mental health needs with efficient implementation costs. However, there is a huge paucity of quality evidence to inform psychosocial interventions during outbreaks. This systematic review sought to update the existing evidence to inform the effectiveness of psychological interventions that addresses mental health issues during outbreaks in LMICs. Six electronic databases were searched - Scopus, PubMed, PsycINFO, Embase, Cochrane library and CINAHL. We included randomised controlled trials of psychological interventions aimed to address common mental health conditions among adults affected by infectious disease outbreaks in LMICs. Studies were excluded if they were done among all age groups, used mixed interventions with pharmacotherapies, addressed severe mental health conditions and were published other than in English. The quality of evidence in the included trials was assessed using the Cochrane Collaboration risk of bias tool. We included 17 trials that examined the effectiveness of psychological interventions among outbreak-affected adults in LMICs. The quality of studies was generally average but tended to provide evidence that brief psychoeducational interventions based on cognitive restructuring, mindfulness, relaxation and stress management techniques were effective in reducing perceived stress and anxiety symptoms, and in improving resilience and self-efficacy. Similarly, mindfulness-based interventions and mindfulness stress reduction treatments were effective in addressing depression, anxiety and generalised anxiety disorder. Brief psychological interventions that can be delivered by non-specialists could have value in addressing the huge mental health needs in outbreak contexts.

Influence of the COVID-19 pandemic on the prevalence of depression in U.S. adults: evidence from NHANES

The impact of the COVID-19 pandemic on the epidemiological characteristics of depression among adults in the U.S. remains unclear. This study aims to analyze trends in depression prevalence over time and quantify the effect of the COVID-19 pandemic on its prevalence. Using data from 2007 to 2023 provided by the National Health and Nutrition Examination Surveys (NHANES), this study examined 36,472 participants. Results revealed an increasing trend in depression prevalence among U.S. adults from 2007 to 2023. Notably, the overall weighted prevalence of depression following the COVID-19 pandemic (12.4%, 95% CI: 10.6-14.1%) was significantly higher than in all years prior to the pandemic. Subgroups such as females, Mexican Americans, and young adults experienced particularly pronounced increases. By analyzing data from two survey cycles close to the onset of the COVID-19 outbreak, the study identified a significant impact of the pandemic on depression prevalence, with an adjusted odds ratio of 1.58 (95% CI: 1.28-1.94). Individuals with lower socioeconomic status and those without pre-existing conditions exhibited greater increases in depression prevalence, whereas the emotional health of individuals who smoke appeared unaffected by the pandemic.

Association between healthy lifestyle choices and mental health among students: a cross sectional study

BACKGROUND

The prevalence of mental health problems among college students, both domestically and internationally, has emerged as a significant public health concern. College students are in a period of transition to independent living. Adopting a healthy lifestyle can have advantageous effects on their overall well-being. Thus, this study aimed to investigate the impact of healthy lifestyle choices on mental health problems among college students in China.

METHODS

We conducted a cross-sectional online survey of college students from 2021 to 2023 at a university in Wuhan (N = 1826) using the cluster sampling method. We employed Chi-square tests and binary logistic regression to evaluate the association between healthy lifestyle choices and mental health and identify other influencing factors.

RESULTS

A total of 969 (53.1%) students met standard criteria for poor mental health. Multiple analysis revealed that personal characteristics including female (1.280[1.035-1.582]), obesity (2.015[1.278-3.175]), general or poor health status (1.738[1.380-2.188]; 4.265[1.125-16.165]), occasionally attending health knowledge lectures or paying attention to health books and information (1.376[1.055-1.795]), healthy lifestyle choices including occasionally or seldom eating breakfast (1.393[1.105-1.757]; 1.825[1.287-2.587]), occasionally or seldom getting enough sleep (2.800[2.179-3.597]; 3.544[2.209-5.685]), a poor or very poor irregular schedule (1.792[1.222-2.628]; 3.619[1.380-9.486]), seldom or no physical exercise (1.395[1.053-1.847]; 1.377[1.066-1.779]), and often smoking (3.320[1.281-8.604]) were identified as significant predictors of poor mental health.

CONCLUSION

The prevalence of poor mental health among college students was high. A few types of healthy lifestyles, such as a lack of health knowledge and physical exercise, seldom eating breakfast, not getting enough sleep, an irregular schedule, and chronic smoking were closely related to abnormal psychological health symptoms. Interventions such as health education knowledge lectures and regular exercise programs should be given to college students to improve their mental health.

Pathology of Red Blood Cells in Patients with SARS-CoV-2

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been associated with various hematological disorders. Understanding the pathology of erythrocytes (red blood cells) in coronavirus infection may provide insights into disease severity and progression. Objective: To review and analyze the general pathology of erythrocytes in patients infected with SARS-CoV-2, focusing on clinical and laboratory findings across different severity groups. Methods: Patients were classified into four groups based on clinical criteria: Group 1: Regular group (fever, respiratory symptoms, and radiographic evidence of pneumonia). Group 2: Severe group (shortness of breath >30 breaths/min, peripheral blood oxygen saturation <92% at rest, extensive pneumonia, respiratory failure requiring mechanical ventilation, and/or organ failure necessitating intensive care). Group 3: Low saturation group (peripheral blood oxygen saturation <85% at rest). Group 4: Erythroblastosis group (erythroblast count >0.5% among total nucleated blood cells). Clinical laboratory investigations included major routine studies and scanning microspectrophotometry to measure hemoglobin (Hb) spectra in unstained erythrocytes. Results: Erythroblasts were detected in approximately 30% of SARS-CoV-2 patients, predominantly in the severe group. Serum ferritin, C-reactive protein (CRP), and anisocytosis were strongly correlated with disease severity. Microspectrophotometric studies revealed significant changes in hemoglobin adsorption spectra, with an increase in Hb absorbance at 420 nm in severe cases compared to normal controls. Conclusions: Elevated serum ferritin, CRP levels, anisocytosis, and altered hemoglobin absorption at 420 nm wavelength are associated with adverse outcomes in SARS-CoV-2 infection. These findings highlight the potential utility of hematological parameters as markers for disease severity and prognosis in viral infections.

Echoes of Strain: A Two-Year Longitudinal Study on the Impact of China's Zero-COVID Policy on College Students' Insomnia and Depressive Symptoms

Purpose

In China, stringent and long-lasting infection control measures, which were called "dynamic zero-COVID policy", have significantly affected the mental health of college students, particularly concerning depressive and insomnia symptoms. This study aims to investigate how depressive and insomnia symptoms evolved among Chinese college students throughout the pandemic, including the beginning and end of the dynamic zero-COVID policy period.

Patients and Methods

We conducted a 2-years longitudinal survey involving 1102 college students, collecting data at three key time points. Depressive symptoms were assessed using the Patient Health Questionnaire-9, and insomnia symptoms were measured with the Youth Self-rating Insomnia Scale-8. Three contemporaneous symptom networks and two cross-lagged panel networks were constructed.

Results

In the current sample, the prevalence of clinically significant depressive symptoms was 6.1%, 8.9%, and 7.7% during the first, second, and third waves, respectively. The prevalence of clinically significant insomnia symptoms was 8.1%, 13.0%, and 14.1%. Over time, the severity of depressive and insomnia symptoms and network density increased, persisting at least one year after the pandemic and control measures ended. "Difficulty initiating sleep" bridged the two disorders, while "anhedonia" played a pivotal role in triggering and sustaining other symptoms.

Conclusion

This study underscores the lasting impact of the evolving zero-COVID policy on depressive and insomnia symptoms among college students, elucidating the underlying interaction mechanisms. There is a pressing need for a more comprehensive evaluation of the implementation of restrictive public policies, taking into account their potential long-term consequences.

Long-term Effects of COVID-19 on Sleep Patterns

OBJECTIVE

To examine the long-term impact of Coronavirus disease-2019 (COVID-19) on sleep patterns and the prevalence of sleep disorders and to increase public health awareness of long-term COVID-19.

MATERIAL AND METHODS

Using the Massachusetts General Brigham Research Patient Data Registry, Severe acute respiratory syndrome-Coronavirus-2 (SARS-CoV-2) positive patients were surveyed about their sleep patterns before and after the viral infection. Information related to comorbid conditions and medications was obtained through chart review.

RESULTS

Two hundred and forty-six completed surveys were analyzed. Average age was 53.3±16.3 years, and they were predominantly non-hispanic white (84.1%) and female (74.3%). The mean body mass index (kg/m2) was 29.9±6.9, and a greater proportion were non-smokers (63.2%). After COVID-19, there was an increase in the percentage of participants reporting difficulty initiating (39±49% vs. 31±46% prior to COVID-19 infection P = 0.01). Similarly, the participants reported difficulty in maintaining sleep after COVID infection (57% vs. 43% prior to infection P < 0.001). Additionally, there was an increase in the use of sleep aids (30% vs. 24% before the infection P = 0.003). The participants also reported a decrease in feeling rested and an increase in the need for napping (58% vs. 36%, P < 0.0001) and (27% vs. 40%, P < 0.0001) respectively. The sleep symptoms persisted beyond 12 months in 28% of the participants.

CONCLUSION

SARS-CoV-2 infection had negative effects on sleep, and a significant proportion of adults experienced insomnia and daytime sleepiness beyond 12 months after recovering from the initial infection.

Mental Health Care Utilization and Prescription Rates Among Children, Adolescents, and Young Adults in France

Importance

Amid escalating mental health challenges among young individuals, intensified by the COVID-19 pandemic, analyzing postpandemic trends is critical.

Objective

To examine mental health care utilization and prescription rates for children, adolescents, and young adults before and after the COVID-19 pandemic.

Design, Setting, and Participants

This population-based time trend study used an interrupted time series analysis to examine mental health care and prescription patterns among the French population 25 years and younger. Aggregated data from the French national health insurance database from January 2016 to June 2023. Data were analyzed from September 2023 to February 2024.

Main Outcomes and Measures

The number of individuals with at least 1 outpatient psychiatric consultation, those admitted for full-time psychiatric hospitalization, those with a suicide attempt, and those receiving psychotropic medication was computed. Data were stratified by age groups and sex. Quasi-Poisson regression modeled deseasonalized data, estimating the relative risk (RR) and 95% CI for differences in slopes before and after the pandemic.

Results

This study included approximately 20 million individuals 25 years and younger (20 829 566 individuals in 2016 and 20 697 169 individuals in 2022). In 2016, the population consisted of 10 208 277 of 20 829 566 female participants (49.0%) and 6 091 959 (29.2%) aged 18 to 25 years. Proportions were similar in 2022. Significant increases in mental health care utilization were observed postpandemic compared with the prepandemic period, especially among females and young people aged 13 years and older. Outpatient psychiatric consultations increased among women (RR, 1.13; 95% CI, 1.07-1.20), individuals aged 13 to 17 years (RR, 1.15; 95% CI, 1.06-1.23), and individuals aged 18 to 25 years (RR, 1.08; 95% CI, 1.03-1.14). Hospitalizations for suicide attempt increased among women (RR, 1.14; 95% CI, 1.02-1.27) and individuals aged 18 to 25 years (RR, 1.07; 95% CI, 1.03-1.12). Regarding psychotropic medications, almost all classes, except hypnotics, increased in prescriptions between 2016 and 2022 for females, with a particularly marked rise in the postpandemic period. For men, only increases in the prescriptions of antidepressants (RR, 1.03; 95% CI, 1.01-1.06), methylphenidate (RR, 1.09; 95% CI, 1.06-1.12), and medications prescribed for alcohol use disorders (RR, 1.08; 95% CI, 1.04-1.13) were observed, and these increases were less pronounced than for women (antidepressant: RR, 1.13, 95% CI, 1.09-1.16; methylphenidate: RR, 1.15; 95% CI, 1.13-1.18; alcohol use dependence: RR, 1.12; 95% CI, 1.08-1.16). Medications reserved for severe mental health situations, such as lithium or clozapine, were prescribed more frequently starting at the age of 6 years.

Conclusions and Relevance

In this study, an interrupted time-series analysis found a marked deterioration in the mental health of young women in France in the after the COVID-19 pandemic, accentuating a trend of deterioration that was already observed in the prepandemic period.

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.

An umbrella review of the prevalence of depression during the COVID-19 pandemic: Call to action for post-COVID-19 at the global level

BACKGROUND

Pandemics can lead to mental health problems such as depression. This meta-analysis of meta-analyses aimed to estimate the precise prevalence of depression during the COVID-19 pandemic.

METHODS

Web of Science, PubMed, Scopus, and Embase were searched for published meta-analyses using relevant keywords, such as depression, prevalence, COVID-19, and meta-analysis up to March 18, 2024 according to the PRISMA guidelines. Relevant journals as well as the search engine Google Scholar were manually searched to discover more articles. The AMSTAR tool was used for quality assessment. A random-effects model was used for the analysis. All analyses were conducted using the STATA 17 software.

RESULTS

Of 535 records, 82 meta-analyses were included. The results showed that the overall prevalence of depression was 30% [95% CI: 29-32] with a high heterogeneity (I2: 90.98%). The highest prevalence of depression according to population group was found in medical students (40% [30-49]), specific groups (40% [3-78]), and patients (36% [27-45]). The results of meta-regression based on the different times between the start of COVID-19 and the last date of search in the articles (week) and the prevalence of depression, showed that each past week of Covid-19 increases the prevalence of depression by almost 0.00021% [95% CI: -0.00025, 0.00068], P-value: 0.36, but "time" is not a significant predictor of an increase in depression.

CONCLUSIONS

The results showed that the prevalence of depression was high during the COVID-19 pandemic, particularly among medical students. Policy makers should pay more attention to these groups and those who are at greater risk. Primary mental health interventions and policies are necessary to support the mental health of these individuals during the pandemic.

Graph analysis of guilt processing network highlights links with subclinical anxiety and self-blame

Maladaptive forms of guilt, such as excessive self-blame, are common characteristics of anxiety and depressive disorders. The underlying network consists of multiple associative areas, including the superior anterior temporal lobe (sATL), underlying the conceptual representations of social meaning, and fronto-subcortical areas involved in the affective dimension of guilt. Nevertheless, despite understanding the circuitry's anatomy, network-level changes related to subclinical anxiety and self-blaming behaviour have not been depicted. To fill this gap, we used graph theory analyses on a resting-state functional and diffusion-weighted magnetic resonance imaging dataset of 78 healthy adults (20 females, 20-35 years old). Within the guilt network, we found increased functional contributions of the left sATL for individuals with higher self-blaming, while functional isolation of the left pars opercularis and insula was related to higher trait anxiety. Trait anxiety was also linked to the structural network's mean clustering coefficient, with the circuitry's architecture favouring increased local information processing in individuals with increased anxiety levels, however, only when a highly specific subset of connections was considered. Previous research suggests that aberrant interactions between conceptual (sATL) and affective (fronto-limbic) regions underlie maladaptive guilt, and the current results align and expand on this theory by detailing network changes associated with self-blame and trait anxiety.

To nap or not? Evidence from a meta-analysis of cohort studies of habitual daytime napping and health outcomes

Habitual daytime napping is a common behavioral and lifestyle practice in particular countries and is often considered part of a normal daily routine. However, recent evidence suggests that the health effects of habitual daytime napping are controversial. We systematically searched PubMed, Web of Science, Embase, and Cochrane Library databases from inception to March 9, 2024, to synthesize cohort studies of napping and health outcome risk. A total of 44 cohort studies with 1,864,274 subjects aged 20-86 years (mean age 56.4 years) were included. Overall, habitual napping increased the risk of several adverse health outcomes, including all-cause mortality, cardiovascular disease, metabolic disease, and cancer, and decreased the risk of cognitive impairment and sarcopenia. Individuals with a napping duration of 30 min or longer exhibited a higher risk of all-cause mortality, cardiovascular disease, and metabolic disease, whereas those with napping durations less than 30 min had no significant risks. No significant differences in napping and health risks were observed for napping frequency, percentage of nappers, sample size, sex, age, body mass index, follow-up years, or comorbidity status. These findings indicate that individuals with a long napping duration should consider shortening their daily nap duration to 30 min or less.

Depressive symptom trajectories among general population during the COVID-19 pandemic in Iceland: a prospective cohort study (2020-2023)

Introduction

While changes in the prevalence of depressive symptoms during the COVID-19 pandemic have been described across populations, few studies have incorporated multidimensional variables to characterise the varying effects of the pandemic on the population's mental health.

Methods

This cohort study included 6423 participants aged ≥18 years from the Icelandic COVID-19 National Resilience Cohort. Data on depressive symptoms and pandemic-related and non-pandemic-related factors were obtained during three pandemic assessment periods (baseline, follow-up wave 1 and follow-up wave 2; April 2020-December 2021), while health outcomes were obtained during the post-pandemic assessment period (follow-up wave 3; September 2022-February 2023). We used latent growth mixture models to identify variation in depressive symptom trajectories during the pandemic. We then used XGBoost models with 37 pandemic-related and non-pandemic-related factors to characterise these trajectories. Moreover, we performed linear regression to assess the association between the identified trajectories and post-pandemic health outcomes.

Results

Of the included participants, we identified four depressive symptom trajectories, including consistently low (83.7%), consistently high (5.3%), initially high (5.1%) and late-onset high (5.9%) symptom trajectories. Individuals who exercised frequently (≥3 days/week) and enjoyed social and family support were more likely to experience a consistently low symptom trajectory. In contrast, individuals with a history of psychiatric disorders, women and young adults (18-39 years) were less likely to follow the consistently low symptom trajectory. Moreover, compared with the consistently low symptom trajectory, the other trajectories were associated with significantly higher levels of depressive, anxiety and somatic symptoms and cognitive problems during the post-pandemic period.

Conclusions

Our results underscore the long-lasting impact of the COVID-19 pandemic on population mental health. Interventions focusing on exercise, social support and family support may mitigate the adverse mental health effects of future pandemics.

Fecal Microbiota Transplantation for Sleep Disturbance in Post-acute COVID-19 Syndrome

BACKGROUND & AIMS

Post-acute COVID-19 syndrome (PACS) is associated with sleep disturbance, but treatment options are limited. The etiology of PACS may be secondary to alterations in the gut microbiome. Here, we report the efficacy of fecal microbiota transplantation (FMT) in alleviating post-COVID insomnia symptoms in a nonrandomized, open-label prospective interventional study.

METHODS

Between September 22, 2022, and May 22, 2023, we recruited 60 PACS patients with insomnia defined as Insomnia Severity Index (ISI) ≥8 and assigned them to the FMT group (FMT at weeks 0, 2, 4, and 8; n = 30) or the control group (n = 30). The primary outcome was clinical remission defined by an ISI of <8 at 12 weeks. Secondary outcomes included changes in the Pittsburgh Sleep Quality Index, Generalized Anxiety Disorder-7 scale, Epworth Sleepiness Scale, Multidimensional Fatigue Inventory, blood cortisol and melatonin, and gut microbiome analysis on metagenomic sequencing.

RESULTS

At week 12, more patients in the FMT than the control group had insomnia remission (37.9% vs 10.0%; P = .018). The FMT group showed a decrease in ISI score (P < .0001), Pittsburgh Sleep Quality Index (P < .0001), Generalized Anxiety Disorder-7 scale (P = .0019), Epworth Sleepiness Scale (P = .0057), and blood cortisol concentration (P = .035) from baseline to week 12, but there was no significant change in the control group. There was enrichment of bacteria such as Gemmiger formicilis and depletion of microbial pathways producing menaquinol derivatives after FMT. The gut microbiome profile resembled that of the donor in FMT responders but not in nonresponders at week 12. There was no serious adverse event.

CONCLUSIONS

This pilot study showed that FMT could be effective and safe in alleviating post-COVID insomnia, and further clinical trials are warranted.

CLINICALTRIALS

gov, Number: NCT05556733.

Predictors of depressive and anxiety symptoms among lesbian, gay and bisexual young adult individuals experiencing the COVID-19 pandemic: A four-year follow-up study

BACKGROUND/PURPOSE

Depressive and anxiety symptoms were common among lesbian, gay, and bisexual (LGB) individuals during the COVID-19 pandemic. This 4-year follow-up study was conducted to investigate the predictors of depressive and anxiety symptoms in Taiwan's young adult LGB population.

METHODS

Baseline data, including depressive and anxiety symptoms, demographic characteristics, sexual stigma, self-identity confusion, and family support were collected from 1000 LGB individuals. The participants' depressive and anxiety symptoms were reassessed 4 years after the baseline measurements. The predictive effects of the baseline factors on depressive and anxiety symptoms at follow-up were examined through linear regression analysis.

RESULTS

Greater lack of identity, unconsolidated identity, sexual orientation microaggression, and lower perceived family function at baseline were significantly associated with more severe depressive and anxiety symptoms at follow-up. After adjustment for baseline depressive symptoms, being men, greater lack of identity, lower perceived family function, and more severe anxiety symptoms at baseline were significantly associated with more severe depressive symptoms at follow-up. After adjustment for baseline anxiety symptoms, greater unconsolidated identity and more severe depressive symptoms at baseline were significantly associated with more severe anxiety symptoms at follow-up.

CONCLUSIONS

Intervention aimed at reducing depressive and anxiety symptoms in LGB individuals should be developed considering the predictors identified in this study.

Impact of COVID-19 Infection and Related Social Concerns on Depressive Symptoms: Mediating Effects of Negative Changes in Daily Life and Moderating Effects of Age and Gender

OBJECTIVE

This study examined the mediating effect of negative changes in daily life due to the coronavirus disease-2019 (COVID-19) pandemic on depressive symptoms, considering COVID-19 infection and related social concerns. Additionally, comparisons of path coefficients between the groups were conducted based on age and gender.

METHODS

A cross-sectional study design used data from the 2020 Korean Community Health Survey consisting of 229,269 individuals. This study used a self-reported questionnaire, including the Patient Health Questionnaire-9 and three items addressing social concerns related to COVID-19 infection. A single question assessed whether individuals had experienced COVID-19 infection within the last 3 months, and scores of negative changes in daily life due to the COVID-19 pandemic. Correlation analysis was performed on the variables. Structural equation model analysis was conducted to identify the mediating role of negative changes in daily life. Chi-square tests were also performed to compare the path coefficients based on age and gender.

RESULTS

The structural equation models revealed that COVID-19 infection and related social concerns had both significant direct effects on depressive symptoms and indirect effects through negative changes in daily life. When comparing the path coefficients by age and gender, the coefficients related to depressive symptoms were highest in those under 65 years and in females.

CONCLUSION

Negative changes in daily life due to the COVID-19 pandemic serve as a partial mediator of the impact of COVID-19 infection and related social concerns on depressive symptoms. Special attention should be paid to depressive symptoms in those under 65 years of age and in females.

Bifidobacteria with indole-3-lactic acid-producing capacity exhibit psychobiotic potential via reducing neuroinflammation

The escalating global prevalence of depression demands effective therapeutic strategies, with psychobiotics emerging as a promising solution. However, the molecular mechanisms governing the neurobehavioral impact of psychobiotics remain elusive. This study reveals a significant reduction in hippocampal indole-3-lactic acid (ILA) levels in depressed mice, which is ameliorated by the psychobiotic Bifidobacterium breve. In both human subjects and mice, the ILA increase in the circulatory system results from bifidobacteria supplementation. Further investigation identifies the key aromatic lactate dehydrogenase (Aldh) gene and pathway in bifidobacteria responsible for ILA production. Importantly, the antidepressant effects are nullified in the Aldh mutants compared to the wild-type strain. At the bifidobacteria species level, those with Aldh exhibit heightened antidepressant effects. Finally, this study emphasizes the antidepressant efficacy of psychobiotic-derived ILA, potentially mediated by aryl hydrocarbon receptor (AhR) signaling activation to alleviate neuroinflammation. This study unveils the molecular and genetic foundations of psychobiotics' antidepressant effects, offering insights for microbial therapies targeting mood disorders.

Ultra-Processed Food Intake and Risk of Insomnia: A Systematic Review and Meta-Analysis

OBJECTIVES

The objective of this investigation was to compile existing observational research and quantify the potential association between ultra-processed foods (UPFs) and the risk of insomnia using meta-analysis.

SETTING

We conducted a systematic search of the PubMed/MEDLINE, Scopus, and ISI Web of Science databases with no restrictions until 29 June 2024. Odds ratios (OR) and 95% confidence intervals (CI) were aggregated using a random-effects model, while the Newcastle-Ottawa Scale and Egger's regression asymmetry test assessed study quality and publication bias, respectively.

RESULTS

Analysis of data from seven studies showed a significant positive association between higher intake of UPFs and an increased risk of insomnia (OR = 1.53; 95% CI: 1.20, 1.95; I2 = 62.3%; p = 0.014). Subgroup analysis indicated this positive relationship was particularly strong under the NOVA food classification (OR = 1.57; 95% CI: 1.03, 2.40; I2 = 78.5%; p = 0.009; n = 3) and with snack intake (OR = 1.33; 95% CI: 1.04, 1.71; I2 = 0.0%; p < 0.001; n = 2), compared to adherence to Western dietary patterns. Moreover, subgroup analysis based on age group showed that higher UPF intake was significantly associated with increased risk of insomnia among adolescents (OR = 1.55; 95% CI: 1.21, 1.99; I2 = 57.4%; p < 0.001) but not in adults.

CONCLUSIONS

Our findings underscore a significant association between higher consumption of UPFs and increased risk of insomnia, particularly among adolescents. Further research is necessary to explore the intricacies of this association and to ensure the generalizability of these results.

Estimation of the prevalence of anxiety during the COVID-19 pandemic: A meta-analysis of meta-analyses

BACKGROUND

Pandemics such as COVID-19, can lead to psychiatric symptoms like anxiety. It seems that meta-analysis of meta-analysis studies can provide more comprehensive information regarding the needs for post-COVID-19 services. Therefore, this umbrella review and meta-analysis of meta-analyses aimed to estimate the precise prevalence of anxiety during the COVID-19 pandemic.

METHODS

PubMed, Scopus, and Web of Science were searched for published meta-analyses using relevant keywords, such as Anxiety, Prevalence, COVID-19, and Meta-analysis up to November 1, 2023. Google Scholar, reference check, citation check, and grey literature were manually searched. A random-effect model was used for the analysis. All analyses were conducted using STATA: 17.

RESULTS

Out of the 4263 records, Finally, 75 meta-analyses were included. The overall prevalence of anxiety was 30.4% [95% CI: 29-31.8] with a high heterogeneity (I2: 86.76%). The highest prevalence of anxiety according to population type was 41.3% in patients and then in students (30.8), pregnant women (30.6%), and health care workers (30.5%). The Result of meta-regression showed that "Time" (based on the time between the start of COVID-19 and the last search date in articles) was not a significant predictor of the prevalence of anxiety (R Coefficient = 0.000149, P = 0.61).

CONCLUSIONS

Considering the prevalence of anxiety among patients, students, pregnant women, and healthcare workers, special attention should be paid to these groups in case of the re-occurrence of COVID-19 or occurrence of other pandemics. As quarantine due to pandemics causes reduced social interactions, reduced income, and increased worry about severe illness and death, there is a need for large-scale mobilization of political measures.

Microglial morphological/inflammatory phenotypes and endocannabinoid signaling in a preclinical model of periodontitis and depression

BACKGROUND

Depression is a chronic psychiatric disease of multifactorial etiology, and its pathophysiology is not fully understood. Stress and other chronic inflammatory pathologies are shared risk factors for psychiatric diseases, and comorbidities are features of major depression. Epidemiological evidence suggests that periodontitis, as a source of low-grade chronic systemic inflammation, may be associated with depression, but the underlying mechanisms are not well understood.

METHODS

Periodontitis (P) was induced in Wistar: Han rats through oral gavage with the pathogenic bacteria Porphyromonas gingivalis and Fusobacterium nucleatum for 12 weeks, followed by 3 weeks of chronic mild stress (CMS) to induce depressive-like behavior. The following four groups were established (n = 12 rats/group): periodontitis and CMS (P + CMS+), periodontitis without CMS, CMS without periodontitis, and control. The morphology and inflammatory phenotype of microglia in the frontal cortex (FC) were studied using immunofluorescence and bioinformatics tools. The endocannabinoid (EC) signaling and proteins related to synaptic plasticity were analyzed in FC samples using biochemical and immunohistochemical techniques.

RESULTS

Ultrastructural and fractal analyses of FC revealed a significant increase in the complexity and heterogeneity of Iba1 + parenchymal microglia in the combined experimental model (P + CMS+) and increased expression of the proinflammatory marker inducible nitric oxide synthase (iNOS), while there were no changes in the expression of cannabinoid receptor 2 (CB2). In the FC protein extracts of the P + CMS + animals, there was a decrease in the levels of the EC metabolic enzymes N-acyl phosphatidylethanolamine-specific phospholipase D (NAPE-PLD), diacylglycerol lipase (DAGL), and monoacylglycerol lipase (MAGL) compared to those in the controls, which extended to protein expression in neurons and in FC extracts of cannabinoid receptor 1 (CB1) and to the intracellular signaling molecules phosphatidylinositol-3-kinase (PI3K), protein kinase B (Akt) and extracellular signal-regulated kinase 1/2 (ERK1/2). The protein levels of brain-derived neurotrophic factor (BDNF) and synaptophysin were also lower in P + CMS + animals than in controls.

CONCLUSIONS

The combined effects on microglial morphology and inflammatory phenotype, the EC signaling, and proteins related to synaptic plasticity in P + CMS + animals may represent relevant mechanisms explaining the association between periodontitis and depression. These findings highlight potential therapeutic targets that warrant further investigation.

A Systematic Review of the Definition, Measurement, and Associated Factors of Pandemic Fatigue

The rapid emergence and widespread transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have prompted governments worldwide to enact policies and measures to manage the virus's spread. These interventions have substantially contributed to controlling disease transmission. However, they have also significantly disrupted daily life, leading to increased public fatigue and resistance to sustained control measures, a phenomenon known as pandemic fatigue. To develop a comprehensive understanding of pandemic fatigue, this review systematically explores the concept and identifies quantitative indicators for measuring it. We reviewed studies on pandemic fatigue across various countries, summarized the contributing factors, and analyzed its impact on personal protective behaviors. Our findings indicate that the enforcement of health measures significantly influences the onset of pandemic fatigue, while individual perceptions of risk can negatively affect personal protective behaviors, creating a feedback loop with increasing fatigue. These results underscore the importance of considering the current severity of the pandemic and individual decision-making processes in the implementation of interventions. Enhancing our understanding of pandemic fatigue is essential for developing effective policy responses in preparation for future potential epidemics.

Mental health of primary health care physicians and nurses following prolonged infection control rules: a national survey in China

Introduction

This study examined the prevalence and correlates of probable mental health disorders, including psychological distress, somatization, depression, anxiety, phobic anxiety (PHO), obsessive-compulsive disorder (OCD), post-traumatic stress disorder (PTSD), and insomnia among Chinese primary health care (PHC) physicians and nurses amid the post-pandemic period in 2022.

Method

Region-stratified sampling was conducted to recruit a national sample of 4,246 respondents from 31 July 2022 to 12 August 2022. A total of 692 primary healthcare institutions were identified in 30 provincial-level administrative regions of China. An online questionnaire was used for assessing probable mental health disorders using Symptoms Checklist-90-Revised (SCL-90-R) and PTSD Checklist for DSM-5 (PCL-5), and sleeping problems using Insomnia Severity Index (ISI). Data on demographics and work were also collected. Bivariate analysis and multiple logistic regression were conducted to identify significant correlates of probable mental health disorders.

Results

A total of 4,246 valid questionnaires were identified. Results showed that relative to the prevalence of probable mental health disorders among health care workers at the early stage of the pandemic in China, there was an overall decreased prevalence except for somatization, PHO, and OCD among the current PHC physicians and nurses. Multiple logistic regressions showed that significant risk factors of common probable mental health disorders, namely psychological distress, SOM, DEP, ANX, PHO, OCD, PTSD, and insomnia, were female gender, multimorbidity, history of psychiatric disorders, quarantine experience, never asking anyone for help, and overtime work.

Conclusion

Attention should be given to preexisting psychiatric and multimorbid conditions, social support, and work-related stressors. Regular assessment and psychological interventions are needed to enhance the mental health of PHC professionals even after public health crisis.

Sufficient sleep and its contributing factors among high school students during the COVID-19 pandemic: results from adolescent behaviors and experiences survey

Background

The COVID-19 pandemic has caused profound changes in adolescent lives, including school closures, social isolation, family economic hardship, and sleep schedule. We aimed to assess the risk and protective factors of sufficient sleep among adolescents during COVID-19.

Methods

We conducted secondary analysis based on the cross-sectional school-based Adolescent Behaviors and Experiences Survey in 2021 (n = 7,705). The ABES collected information on health-related experiences and behaviors during COVID-19. The outcome was sufficient sleep (eight and more hours of sleep on the average school night). The contributing factors included demographic, mental health, and adverse experiences indicators. We estimated the prevalence of sufficient sleep within each factor, and examined their associations using Chi-square test. We further investigated the contributing factors of sufficient sleep using multivariate logistic regression and reported the adjusted odds ratios (AORs) and 95% confidence intervals (CIs).

Results

During January-June 2021, 23.5% of the U.S. high school students reported getting sufficient sleep. The multivariate logistic regression indicated that younger age (AOR, 2.04; 95%CI, 1.59-2.62), heterosexual identity (AOR, 1.61; 95%CI, 1.19-2.18), no poor mental health during the past 30 days (AOR, 1.37; 95%CI, 1.03-1.82), no persistent feelings of sadness or hopelessness (AOR, 1.34; 95%CI, 1.09-1.66), no food and nutrition insecurity (AOR, 1.47; 95%CI, 1.17-1.85), never been abused by a parent emotionally (AOR, 1.38; 95%CI, 1.16-1.64), and no schoolwork difficulty (AOR, 1.24; 95%CI, 1.01-1.51) were associated with sufficient sleep.

Conclusion

We estimated the national prevalence of adolescent sufficient sleep during the COVID-19 pandemic and found that younger students, sexual heterosexual students, and students without certain mental health conditions or adverse experiences are at higher likelihood of sufficient sleep. These findings can help develop effective interventions on sleep duration in the response to a possible future pandemic caused by Disease X.

Association of lifestyle with sleep health in general population in China: a cross-sectional study

The concept of a healthy lifestyle is receiving increasing attention. This study sought to identify an optimal healthy lifestyle profile associated with sleep health in general population of China. An online cross-sectional survey was conducted from June to July 2022. Six healthy lifestyle factors were assessed: healthy diet, regular physical exercise, never smoking, never drinking alcohol, low sedentary behavior, and normal weight. Participants were categorized into the healthy lifestyle (5-6 factors), average (3-4 factors), and unhealthy lifestyle groups (0-2 factors). The study's primary outcome was sleep health, which included sleep quality, duration, pattern, and the presence of any sleep disorder or disturbance, including insomnia, excessive daytime sleepiness, obstructive apnea syndrome, and narcolepsy. Multivariable logistic regression analysis was applied to explore lifestyles associated with the selected sleep health outcomes. 41,061 individuals were included, forming 18.8% healthy, 63.8% average, and 17.4% unhealthy lifestyle groups. After adjusting for covariates, participants with healthy lifestyle were associated with a higher likelihood of good sleep quality (OR = 1.56, 95% CI = 1.46-1.68), normal sleep duration (OR = 1.60, 95% CI = 1.49-1.72), healthy sleep pattern (OR = 2.15, 95% CI = 2.00-2.31), and lower risks of insomnia (OR = 0.66, 95% CI = 0.61-0.71), excessive daytime sleepiness (OR = 0.66, 95% CI = 0.60-0.73), and obstructive apnea syndrome (OR = 0.40, 95% CI = 0.37-0.43), but not narcolepsy (OR = 0.92, 95% CI = 0.83-1.03), compared to those with unhealthy lifestyle. This large cross-sectional study is the first to our knowledge to quantify the associations of a healthy lifestyle with specific aspects of sleep health. The findings offer support for efforts to improve sleep health by modulating lifestyle.

The Impact of Infectious Diseases on Psychiatric Disorders: A Systematic Review

The complex connection between some infectious illnesses and some psychiatric disorders is an important area of study, with infections known to cause a diverse range of psychiatric symptoms. This association poses significant challenges for physicians in differentiating between mental illnesses induced by infections and those stemming from underlying psychiatric conditions. This study systematically synthesizes literature from various databases that explain the relationship between certain infectious diseases and specific psychiatric disorders. The systematic review explores mechanisms such as neuroinflammation, direct central nervous system (CNS) infection, and the interaction between the immune system and psychiatric conditions. The study examines various infectious pathogens, including viruses, bacteria, parasites, prion diseases, and fungi. An analysis of these findings is presented in the study's discussion section, along with a review of therapeutic methods such as drug use and psychological treatment. The review emphasizes the need for multidisciplinary teamwork and thorough clinical examinations in managing psychiatric symptoms caused by infections. It also highlights the significant role of public health measures in mitigating the impact of psychiatric diseases related to infectious illnesses. The study finds that current therapeutic methods include pharmacological and psychological treatments, which can effectively manage these conditions. The study has concluded that psychiatric manifestations are prevalent across various infectious diseases, including those caused by viruses, bacteria, parasites, and fungi. Key mechanisms identified include neuroinflammation, direct infection of the CNS, and the immuno-psychiatric interface, all of which contribute to the development of psychiatric symptoms. The future of managing these complex conditions lies in a comprehensive approach that combines clinical, therapeutic, and public health strategies.

A prospective cohort study on cognitive and psychological outcomes in COVID-19 ICU survivors at 3 months of follow up

Objective

The Outcomes - Short and Long term in ICU patient with COVID-19 "OUTSTRIP COVID-19" study was initiated to assess overall mortality, physical and psychiatric co-morbidities, reduction in lung function, and the ability to return to work post-ICU discharge with a follow-up period of 2 years in COVID-19 patients admitted to ICUs in Qatar. This paper focuses on the prevalence of cognitive impairment, depression, anxiety, and stress at baseline and 3 months after ICU discharge.

Methods

This prospective cohort study included 100 ICU survivors reviewed at baseline within 7 weeks of ICU discharge, with a 3-month follow-up. Demographics, clinical characteristics, and relevant medical history were collected at baseline. Cognitive outcomes were assessed using the Montreal Cognitive Assessment-Basic (MoCA-B) tool, while psychological outcomes were evaluated using the Depression Anxiety and Stress Scale-21 (DASS-21).

Results

At baseline, 72% of ICU survivors exhibited mild cognitive impairment, which significantly improved to 56% at 3 months. However, severe cognitive impairment persisted in 20% of survivors at 3 months.For psychological outcomes, the mean depression score remained below 9 (5.64 ± 6.90) at both time points, with no significant change. At baseline, 25% of survivors had clinical depression, which reduced to 16% at 3 months.The mean anxiety score at baseline (9.35 ± 8.50) significantly decreased to 6.51 ± 7.74 (p = 0.002) at 3 months. Anxiety was not reported by 48% of survivors at baseline and this increased to 66% at 3 months. Severe to extremely severe anxiety decreased from 19% to 12% during the same period.The mean stress score at baseline (8.34 ± 8.07) did not significantly change at 3 months. At baseline, 18% experienced stress, which decreased to 12% at 3 months, with 5.3% facing severe to extremely severe stress.

Conclusion

COVID-19 ICU survivors experience significant cognitive impairment, anxiety, and stress. While cognitive impairment and anxiety showed improvements at 3 months, depression and stress remained unchanged. These outcomes strongly emphasize the requirement for thorough post-ICU care and comprehensive mental health assistance for individuals recovering from COVID-19. Customized interventions and additional research endeavors are crucial to effectively manage the cognitive and psychological consequences faced by these patients. The exploration of telemonitoring and innovative approaches can offer avenues to enhance the overall quality of life for survivors. Further investigation should encompass extended timeframes to analyze prolonged effects and consider the broader socioeconomic impact.

Gut microbiota: a potential influencer of insomnia occurring after COVID-19 infection

The prevalence of insomnia has increased in recent years, significantly affecting the lives of many individuals. Coronavirus disease 2019 (COVID-19) infection has been found to have a substantial impact on the human gut microbiota (GM). Clinical studies have shown that the high prevalence, prolonged duration, and refractory treatment of insomnia symptoms following the COVID-19 pandemic may be related to the effect of COVID-19 infection on the GM. Therefore, the GM may be a potential target for the treatment of insomnia following COVID-19 infection. However, relevant studies have not been well-documented, and the GM has not been sufficiently analyzed in the context of insomnia treatment. Herein, we review the interaction between sleep and the GM, summarize the characteristics of COVID-19-induced abnormal changes in the GM and metabolites in patients with insomnia, and discuss potential mechanisms, including metabolic, immune, and neural pathways, by which these abnormal changes in the GM cause insomnia as well as the factors affecting the GM. Finally, we discuss the prospect of modulating the host GM community for the effective treatment of insomnia after COVID-19 infection and the need for further clinical studies.

Unmasking the mental health scars of COVID-19: A longitudinal investigation of children and adolescents in post-lockdown China

The long-term mental health consequences of COVID-19 in children and adolescents remain unclear. We investigated the impact of COVID-19 infection on mental health after China's zero-COVID policy relaxation, focusing on symptom-specific and social-family risk factors for mental health issues in children and adolescents. In a longitudinal study, 8348 youths (aged 10-18) were assessed twice (T1: September to October 2022 and T2: April to May 2023). Mental health changes (Δ=T1-T2) were compared between COVID-19-infected (COVID+, n = 4108) and non-infected (COVID-, n = 4240). After balancing social-family confounding factors at T1 with propensity score-based inverse probability weights, multivariable logistic regression was employed to assess associations between COVID-19 infection and the onset/worsening of mental health symptoms. Multivariable logistic regression was conducted to explore specific acute COVID-19 symptoms and social-family risk factors associated with the onset/worsening of mental health symptoms in COVID + group. Compared to COVID- group, COVID + group exhibited lower overall mental health improvement (Δ). COVID + group was associated with increased risks of depression worsening (OR 1.20, 95 % CI 1.04-1.39), anxiety worsening (OR 1.30, 95 % CI 1.15-1.47), stress worsening (OR 1.23, 95 % CI 1.03-1.46), insomnia worsening (OR 1.21, 95 % CI 1.05-1.39), and emotional symptoms worsening (OR 1.72, 95 % CI 1.27-2.33). Moderate-to-severe difficulty thinking, breathlessness, and gastrointestinal symptoms were specific COVID-19 symptoms associated with worsening of various mental health outcomes. Furthermore, academic difficulties, economic disadvantages, family conflicts, food addiction, and alcohol consumption were identified as social-family risk factors for worsening mental health symptoms in COVID + youths. COVID-19 infection leaves lasting mental health scars in youths, extending beyond the acute phase. Specific symptoms, particularly cognitive dysfunction and respiratory/gastrointestinal distress play a significant role in this vulnerability. Social-family factors further modulate these effects, highlighting the need for comprehensive interventions that address both biological and psychosocial aspects. This study provides valuable insights for tailoring mental health support to youths navigating the consequences of the COVID-19 pandemic.

Exercise as medicine! Physical activity mitigated the impact of the COVID-19 pandemic on depressive symptoms in adults with depression

We investigated the longitudinal association between physical activity (PA) and symptoms of depression and anxiety in people with depression during the COVID-19 pandemic. We used data from baseline (June 2020) to wave 3 (June 2021) of the PAMPA Cohort, an ambispective cohort with adults in south Brazil. The Hospital Anxiety and Depression Scale assessed depressive and anxiety symptoms in all waves. Participants reported frequency (minutes), type (aerobic, strength, combined), and place (out of home, at home) of physical activity at baseline. Generalized linear models were used to investigate the interaction between time and PA, adjusting for possible confounding variables. Subjective memory decline was assessed using multivariate Cox proportional hazard regression models to obtain adjusted hazard ratio (HR) and respective 95% confidence interval (CI). Participants (n = 424) with self-reported clinically diagnosed depression were included. We observed a non-linear increase trajectory of depression during the first year of the COVID-19 pandemic. PA was associated with a slower trajectory of depressive (slope: -1.89; 95%CI: -3.34, -0.43 points) but not anxiety (slope: -1.33; 95%CI: -2.93, 0.25 points) symptoms during the COVID-19 pandemic. Participants who continued physically active from pre-pandemic in wave 1 showed a lower risk of subjective memory decline during follow-up than those who persisted inactive in the same period (HR: 0.52; 95%CI: 0.30, 0.89). PA attenuated the impact of the COVID-19 pandemic on depressive symptoms in adults living with depression in south Brazil. Regularity of physical activity was associated with fewer depression and anxiety symptoms and a lower risk of subjective memory decline.

Sleep and mental health during the COVID-19 pandemic: findings from an online questionnaire survey in China

Introduction

The online study investigated the sleep, psychological conditions, and risk factors during the wave of transmission of COVID-19 since December 7, 2022.

Methods

We distributed questionnaires through networking mediums to residents to gather information about COVID-19 infection, sleep, and mental status.

Results

During the extraordinary period in China, 91.9% of 1094 participants claimed to be infected with COVID-19, 36.8% reported poor sleep quality, 75.9% reported anxiety, and 65.5% reported depression. In retrospect, people have experienced lower sleep quality, longer sleep latency, enhanced rising time, and decreased sleep efficiency after the infection wave. After adjusting confounding factors, the elderly, women, urban residents, people with comorbidity, anxiety, depression, stress state, and COVID-19 infection have high risks for sleep disorders during the period.

Discussion

The survey indicates that sleep disturbance caused by COVID-19 involves multiple dimensions, such as physiology, psychology, and society. The COVID-19 infection-related sleep problem should be taken seriously. Apart from conventional treatment, psychological issues of insomnia can not be ignored.

Role of Thymoquinone on sleep restriction and its mitigating effect on leptin-mediated signaling pathway in rat brain

BACKGROUND

Sleep and stress interact bidirectionally by acting on brain circuits that affect metabolism. Sleep and its alterations have impact on blood leptin levels, metabolic hormone that regulates appetite. Brain expresses the receptors for the peptide hormone leptin produced from adipocytes. The hypothalamic orexin neurons are low during sleep and active when awake, influenced by a complex interaction with leptin. Thymoquinone was found to be the major bioactive component of Nigella sativa. The aim of this study was to study the role of thymoquinone on sleep restriction and its mitigating effect on leptin-mediated signaling pathway in rat brain.

METHODS AND RESULTS

30 adult male Wistar rats were divided into 5 groups with 6 animals in each group: Control; Thymoquinone (TQ); Corn oil; Chronic Sleep restriction (CSR); and CSR + TQ. After 30 days, behavioral analysis, antioxidant, lipid profile, glucose level, liver and kidney function test, neurotransmitters, neuropeptides, and mRNA expression in in vivo studies were also assessed and pharmacokinetic and docking were done for thymoquinone. Thymoquinone has also shown good binding affinity to the target proteins. CSR has induced oxidative stress in the discrete brain regions and plasma. Current study has shown many evidences that sleep restriction has altered the neurobehavioral, antioxidant status, lipid profile, neurotransmitters, neuropeptide levels, and feeding behavior which damage the Orexin-leptin system which regulates the sleep and feeding that leads to metabolic dysfunction.

CONCLUSION

The potentiality of Thymoquinone was revealed in in silico studies, and its action in in vivo studies has proved its effectiveness. The study concludes that Thymoquinone has exhibited its effect by diminishing the metabolic dysfunction by its neuroprotective, antioxidant, and hypolipidemic properties.

Rumination, psychological capital and academic procrastination among nursing students: A cross-sectional study

BACKGROUND

Academic procrastination is common among college students, which affects their learning status and even their physical and mental health. Rumination, psychological capital, and academic procrastination are closely related, but for nursing students, there are few studies reporting on their levels and relationships.

OBJECTIVE

The aim of this study was to investigate the levels of rumination, psychological capital, and academic procrastination among nursing students, and examine the mediating role of psychological capital in rumination and academic procrastination.

DESIGN

A cross-sectional study.

SETTING

The study sampled three medical colleges in Sichuan Province, China.

PARTICIPANTS

A convenience sampling method was used to select 556 nursing students from April to June 2023.

METHODS

556 nursing students were asked to complete questionnaires regarding social-demographic information, rumination, psychological capital, and academic procrastination. Descriptive statistics, Pearson correlation analysis and structural equation model were used in this study.

RESULTS

The scores of rumination, psychological capital, and academic procrastination among nursing students were 46.08 ± 13.61, 108.28 ± 19.50 and 55.32 ± 12.30, respectively. Additionally, structural equation modeling showed that psychological capital mediated the relationship between rumination and academic procrastination with the partial mediating effect of 0.425.

CONCLUSION

Our results suggest that nursing students exhibit moderate levels of rumination, psychological capital and academic procrastination. Moreover, rumination can not only directly affect academic procrastination, but also indirectly through psychological capital. Nursing educators should strengthen their attention to the mental health and learning status of nursing students, take measures to help them adapt to campus life, alleviate rumination, enrich psychological capital, and reduce the risk of academic procrastination.

Unveiling Coronasomnia: Pandemic Stress and Sleep Problems During the COVID-19 Outbreak

The COVID-19 pandemic posed an unprecedented challenge to public well-being, necessitating an examination of its health impact. This review discusses the relationship between pandemic-induced stressors and individual sleep patterns and quality. The pandemic stressors include lockdown or physical distancing measures, direct virus exposure, and the dissemination of misinformation and disinformation. The pandemic led to delayed sleep-wake cycles, except for healthcare professionals, and worsened sleep quality. The prevalence of insomnia was higher for women due to pre-existing conditions and susceptibility stressors such as lockdown stress and family responsibilities. Healthcare professionals, who experienced worsened work conditions during the pandemic, reported higher rates of insomnia and sleep difficulties due to infection anxiety and post-traumatic stress from direct virus exposure. For the general population, stress stemmed from social isolation under lockdown and overwhelming false information available online, resulting in sleep problems. Taken together, the findings highlight the importance of promoting social interactions, providing psychological support services, and caution in navigating health information. In summary, this review underscores the need for individual- and group-centered approaches in ongoing research and interventions to address pandemic-related stress and sleep issues during COVID-19.

An in-person survey of the influence of the COVID-19 pandemic on physical function, functional capacity, cognitive function, and mental health among community-dwelling older adults in Japan from 2016 to 2022

BACKGROUND

The COVID-19 outbreak might have had several effects on older adults; however, much of the previous research only included self-report, cross-sectional, and online-survey data in the early stage of the pandemic. We conducted a face-to-face survey before and after the COVID-19 pandemic and investigated the influence of the pandemic on several functions to distinguish between changes due to aging and changes due to the pandemic using a linear mixed model.

METHODS

A total of 8 longitudinal surveys were conducted from 2016 to 2022. Physical function was assessed by weight, body mass index, body fat percentage, skeletal muscle mass index, calf circumference, grip strength, knee extension strength, the 5-times chair stand test, the timed up & go test and 5-m walking test. Functional capacity was measured using the Tokyo Metropolitan Institute of Gerontology index of competence, cognitive function was measured using the Trail Making Test - A, and mental health was measured using the Geriatric Depression Scale.

RESULTS

Of a total of 73 participants, 51 (69.9%) were female. The mean age at first participation was 71.82 years (SD = 4.64). The results of the linear mixed model showed that lower-limb muscle strength and body fat percentage and cognitive function changed significantly before and after the pandemic, while grip strength, functional capacity, and mental health did not.

CONCLUSIONS

The changes in these functions between before and after the pandemic might be attributed to the diminished opportunities for the independent older individuals to go out and engage in activities. Although functional capacity did not change, lower-limb muscle strength is important for functional independence. This decline might influence the functional capacity of these individuals in the future.

Evaluation of dry eye disease symptomatology and mental health status among patients with different COVID-19 statuses

AIM

To evaluate dry eye disease (DED) symptomatology and mental health status in different COVID-19 patients.

METHODS

A cross-sectional observational design was used. Totally 123 eligible adults (46.34% of men, age range, 18-59y) with COVID-19 included in the study from August to November, 2022. Ocular Surface Disease Index (OSDI), Five-item Dry Eye Questionnaire (DEQ-5), Hospital Anxiety and Depression Scale (HADS), and Pittsburgh Sleep Quality Index (PSQI) were used in this study.

RESULTS

OSDI scores were 6.82 (1.25, 15.91) in asymptomatic carriers, 7.35 (2.50, 18.38) in mild cases, and 16.67 (4.43, 28.04) in recurrent cases, with 30.00%, 35.56%, and 57.89%, respectively evaluated as having DED symptoms (χ2=7.049, P=0.029). DEQ-5 score varied from 2.00 (0, 6.00) in asymptomatic carriers, 3.00 (0, 8.00) in mild cases, and 8.00 (5.00, 10.00) in recurrent cases, with 27.50%, 33.33%, and 55.26%, respectively assessed as having DED symptoms (χ2=8.532, P=0.014). The prevalence of clinical anxiety (50.00%) and depression (47.37%) symptoms were also significantly higher in patients with recurrent infection (χ2=24.541, P<0.001; χ2=30.871, P<0.001). Recurrent infection was a risk factor for high OSDI scores [odds ratio, 2.562; 95% confidence interval (CI), 1.631-7.979; P=0.033] and DEQ-5 scores (odds ratio, 3.353; 95%CI, 1.038-8.834; P=0.043), whereas having a fixed occupation was a protective factor for OSDI scores (odds ratio, 0.088; 95%CI, 0.022-0.360; P=0.001) and DEQ-5 scores (odds ratio, 0.126; 95%CI, 0.039-0.405; P=0.001).

CONCLUSION

Patients with recurrent COVID-19 have more severe symptoms of DED, anxiety, and depression.

Assets and depression in U.S. adults during the COVID-19 pandemic: a systematic review

PURPOSE

Mental health is shaped by social and economic contexts, which were altered during the COVID-19 pandemic. No study has systematically reviewed the literature on the relation between different assets and depression during the COVID-19 pandemic.

METHODS

We conducted a systematic review of the literature on financial (e.g. income/savings), physical (e.g., home ownership), and social (e.g., marital status, educational attainment) assets and depression in U.S. adults. For each asset type, we created binary comparisons to report on the direction of the relationship and described if each study reported insignificant, positive, negative, or mixed associations.

RESULTS

Among the 41 articles identified, we found that income was the most studied asset (n=34), followed by education (n=25), marital status (n=18), home ownership (n=5), and savings (n=4). 88%, 100%, and 100% of articles reported a significant association of higher income, home ownership, and higher savings, respectively, with less depression. The association between marital status and education with depression was more nuanced: 72% (13 of 18) studies showed that unmarried persons had greater risk of depression than married or cohabitating persons and 52% (13 of 25) of studies reported no significant difference in depression across educational groups.

CONCLUSION

This work adds to the literature a deeper understanding of how different assets relate to depression. In the context of largescale traumatic events, policies that maintain and protect access to social, physical, and financial assets may help to protect mental health.

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.

The mediating effect of resilience and COVID-19 anxiety on the relationship between social support and insomnia among healthcare workers: a cross-sectional study

Background

Insomnia in healthcare workers has become a topic of concern in the health system. The high infectivity and longevity of the COVID-19 pandemic have resulted in great pressure and a high incidence of insomnia among healthcare workers. Insomnia among healthcare workers has a negative impact on high-quality healthcare services in addition to their health. Thus, it's necessary to explore insomnia's underlying mechanisms.

Object

The present research's aims were threefold: explored the association between social support, resilience, COVID-19 anxiety, and insomnia among healthcare workers during the pandemic, elucidated the underlying mechanism of insomnia, and offered recommendations for improving the health of these workers.

Materials and methods

A cross-sectional design was adopted. From May 20 to 30, 2022, 1038 healthcare workers were selected to fill out the Oslo 3-item Social Support Scale, the eight-item Athens Insomnia Scale, the Coronavirus Anxiety Scale, and the Brief Resilience Scale. Descriptive statistics and correlations were analyzed by SPSS 25.0. Mediation analysis was conducted by Mplus 8.3 using 5000 bootstrap samples.

Results

Of the participating 1038 healthcare workers, the prevalence of insomnia was 41.62% (432/1038). Significant associations were found involving insomnia, resilience, COVID-19 anxiety, and social support. Insomnia was directly affected by social support. Moreover, three indirect pathways explain how social support affected insomnia: resilience's mediating role, COVID-19 anxiety's mediating role, and the chain-mediation role of resilience and COVID-19 anxiety.

Conclusion

The results validated our hypotheses and supported the opinion of Spielman et al. 's three-factor model of insomnia. Social support of healthcare workers has an indirect impact on insomnia in addition to its direct one via independent and chain-mediation effects of resilience and COVID-19 anxiety.

Trajectories of mental health outcomes following COVID-19 infection: a prospective longitudinal study

BACKGROUND

The COVID-19 pandemic has triggered a global mental health crisis. Yet, we know little about the lasting effects of COVID-19 infection on mental health. This prospective longitudinal study aimed to investigate the trajectories of mental health changes in individuals infected with COVID-19 and to identify potential predictors that may influence these changes.

METHODS

A web-survey that targeted individuals that had been infected with COVID-19 was used at three time-points: T0 (baseline), T1 (six months), and T2 (twelve months). The survey included demographics, questions related to COVID-19 status, previous psychiatric diagnosis, post-COVID impairments, fatigue, and standardized measures of depression, anxiety, insomnia. Linear mixed models were used to examine changes in depression, anxiety, and insomnia over time and identify factors that impacted trajectories of mental health outcomes.

RESULTS

A total of 236 individuals completed assessments and was included in the longitudinal sample. The participants' age ranged between 19 and 81 years old (M = 48.71, SD = 10.74). The results revealed notable changes in mental health outcomes over time. The trajectory of depression showed significant improvement over time while the trends in anxiety and insomnia did not exhibit significant changes over time. Younger participants and individuals who experienced severe COVID-19 infection in the acute phase were identified as high-risk groups with worst mental ill-health. The main predictors of the changes in the mental health outcomes were fatigue and post-COVID impairments.

CONCLUSIONS

The findings of our study suggest that mental health outcomes following COVID-19 infection exhibit a dynamic pattern over time. The study provides valuable insights into the mental health trajectory following COVID-19 infection, emphasizing the need for ongoing assessment, support, and interventions tailored to the evolving mental health needs of this population.