COVID-19 associated fear & anxiety among students: Findings from a large-scale online survey in Bangladesh.

Objective: The study aimed to assess anxiety and fear of COVID-19 among home-staying Bangladeshi students. Participants: A total of 3997 university students across Bangladesh participated in the study. Methods: A cross-sectional study was conducted using the generalized anxiety disorder scale and the fear of COVID-19 scale to measure anxiety and fear, respectively. Results: 40.11% of participants had anxiety. Fear of death by COVID-19 (ß1'=4.45; 95% CI: 3.99-4.90) and perceiving COVID-19-like symptoms as having COVID-19 (ß1'=2.47; 95% CI: 1.76-3.18) were associated with higher fear. Exposure to COVID-19 news on social media was a predictor of fear and anxiety. Furthermore, the severe educational loss was associated with fear (ß1'=2.88; 95% CI: 2.25-3.50) and anxiety (ß2'=1.91; 95% CI: 1.41 to 2.41). Physical exercise and recreational activities were protective factors for fear and anxiety. Conclusion: The study reports a higher level of psychological difficulties among students during the COVID-19 pandemic which needs further longitudinal exploration to design appropriate interventions.

High Concentration and Frequent Application of Disinfection Increase the Detection of Methicillin-Resistant Staphylococcus aureus Infections in Psychiatric Hospitals During the COVID-19 Pandemic.

The tolerance of certain multi-drug resistant bacteria to disinfectants may be promoted while the requirements of environmental disinfection have been raised in the high-risk areas of medical institutions during the COVID-19 pandemic. The current research addressed the mechanisms underlying a sharp increase in the detection of methicillin-resistant Staphylococcus aureus (MRSA) observed in a closed-management unit of elderly patients with mental disorders in 2020 as compared with the previous 4 years. We first conducted microbial detection in staff-hand and environment and a molecular epidemiology analysis, rejecting the hypothesis that the MRSA increase was due to an outbreak. Afterward, we turned to disinfectant concentration and frequency of use and analyzed the varied MRSA detection rates with different concentrations and frequencies of disinfection in 2020 and the previous 4 years. The MRSA detection rate increased with elevated concentration and frequency of disinfection, with 1,000 or 500 mg/L two times per day since January in 2020 vs. 500 mg/L 2-3 times per week in 2016-2019. When the disinfectant concentration was reduced from 1,000 to 500 mg/L, the MRSA detection decreased which indicated a modulatory role of disinfectant concentration. With a sustained frequency of disinfection in 2020, the MRSA detection rate was still higher, even after May, than that in the previous years. This suggested that the frequency of disinfection also contributed to the MRSA increase. Overall, the MRSA detection was augmented with the increase in disinfection concentration and frequency during the COVID-19 epidemic, suggesting that highly-concentrated and highly-frequent preventive long-term disinfection is not recommended without risk assessments in psychiatric hospitals.

The Association Between Financial Hardship and Mental Health Difficulties Among Adult Wage Earners During the COVID-19 Pandemic in Bangladesh: Findings From a Cross-Sectional Analysis.

Background: The ongoing COVID-19 pandemic has created several challenges including financial burdens that may result in mental health conditions. This study was undertaken to gauge mental health difficulties during the COVID-19 pandemic and gain an insight into wage earners' mental health. Method: This cross-sectional study was conducted through an online survey. A t total of 707 individual Bangladeshi wage earners were enrolled between 20 and 30 May 2020. The questionnaire had sections on sociodemographic information, COVID-19 related questions, PHQ-9 and GAD-7 scales. STATA version 14.1 program was used to carry out all the analyses. Results: The study revealed that 58.6 and 55.9% of the respondents had moderate to severe anxiety and depressive symptoms, respectively. The total monthly income was <30,000 BDT (353.73USD) and displayed increased odds of suffering from depressive symptoms (OR = 4.12; 95% CI: 2.68-6.34) and anxiety (OR = 3.31; 95% CI: 2.17-5.03). Participants who did not receive salary income, had no income source during the pandemic, had financial problems, and inadequate food supply and were more likely to suffer from anxiety and depressive symptoms (p ≤ 0.01). Perceiving the upcoming financial crisis as a stressor was a potential risk factor for anxiety (OR = 1.91; 95% CI:1.32-2.77) and depressive symptoms (OR = 1.50; 95% CI:1.04-2.16). Limitations: The online survey method used in this study limits the generalizability of the findings and self-reported answers might include selection and social desirability bias as a community-based survey was not possible during the pandemic. Conclusion: Wage earners in a low resource setting like Bangladesh require mental health attention and financial consideration to deal with mental health difficulties.

Role of perceived family support in psychological distress for pregnant women during the COVID-19 pandemic.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has caused major public panic in China. Pregnant women may be more vulnerable to stress, which may cause them to have psychological problems. AIM: To explore the effects of perceived family support on psychological distress in pregnant women during the COVID-19 pandemic. METHODS: A total of 2232 subjects were recruited from three cities in China. Through the online surveys, information on demographic data and health status during pregnancy were collected. Insomnia severity index, generalized anxiety disorder 7-item scale, patient health questionnaire-9, somatization subscale of the symptom check list 90 scale, and posttraumatic stress disorder checklist were used to assess the psychological distress. RESULTS: A total of 1015 (45.4%) women reported having at least one psychological distress. The women who reported having inadequate family support were more likely to suffer from multiple psychological distress (≥ 2 psychological distress) than women who received adequate family support. Among the women who reported less family support, 41.8% reported depression, 31.1% reported anxiety, 8.2% reported insomnia, 13.3% reported somatization and 8.9% reported posttraumatic stress disorder (PTSD), which were significantly higher than those who received strong family support. Perceived family support level was negatively correlated with depressive symptoms (r = -0.118, P < 0.001), anxiety symptoms (r = -0.111, P < 0.001), and PTSD symptoms (r = -0.155, P < 0.001). CONCLUSION: Family support plays an important part on pregnant women's mental health during the COVID-19 pandemic. Better family support can help improve the mental health of pregnant women.

Fear and depressive symptoms amid COVID-19: A cross-sectional pilot study among adult population in Bangladesh.

BACKGROUND: Fear is a primary emotional reaction to the deadly coronavirus disease which might be an associated factor for developing depressive symptoms. This study aimed to assess the level and associated factors of fear and depression amid the COVID-19 pandemic among the adult population of Bangladesh. METHODS: After providing informed consent, 1050 participants completed the cross-sectional online survey tool. Depressive symptoms and fear were assessed through the PHQ-9 and validated fear of COVID-19 scale (FCV-19S), respectively. Linear regression analysis was performed to predict potential factors of fear and depression. RESULTS: The study finds that females had higher scores for fear of COVID-19 scale (ß1' = 1.81; 95% CI: 1.15 to 2.47) and Patient Health Questionnaire (ß2' = 1.92; 95% CI: 0.95 to 2.88) than their male counterpart. Respondents considering the virus to be extremely dangerous had higher scores for FCV-19S (ß1' = 1.55; 95% CI: 0.66 to 2.44) and PHQ-9 (ß2 = 1.59; 95% CI: 0.25 to 2.92). Similarly, respondents considering themselves unsafe and very worried about the virus had increased scores for both FCV-19S and PHQ-9. On other hand, people those were reluctant to use masks (ß1' = -1.58; 95% CI: -3.12 to -0.04) or seek doctors' advice (ß1' = -0.93; 95% CI: -1.83 to -0.02) if COVID-19 symptoms appear, had comparatively lower scores for FCV-19S. CONCLUSIONS: Fear of COVID-19 and depression were found to be associated with some specific knowledge, attitude & preparedness towards COVID-19 which should be adequately addressed in public health strategies to prevent the virus.

The prevalence of psychiatric symptoms of pregnant and non-pregnant women during the COVID-19 epidemic.

Coronavirus disease 2019 (COVID-19) is rapidly spreading worldwide, with a staggering number of cases and deaths. However, available data on the psychological impacts of COVID-19 on pregnant women are limited. The purposes of this study were to assess the prevalence of psychiatric symptoms among pregnant women, and to compare them with non-pregnant women. From February 28 to March 12, 2020, a cross-sectional study of pregnant and non-pregnant women was performed in China. The online questionnaire was used to collect information of participants. The mental health status was assessed by patient health questionnaire, generalized anxiety disorder scale, insomnia severity index, somatization subscale of the symptom checklist 90, and post-traumatic stress disorder (PTSD) checklist-5. Totally, 859 respondents were enrolled, including 544 pregnant women and 315 non-pregnant women. In this study, 5.3%, 6.8%, 2.4%, 2.6%, and 0.9% of pregnant women were identified to have symptoms of depression, anxiety, physical discomfort, insomnia, and PTSD, respectively. However, the corresponding prevalence rates among non-pregnant women were 17.5%, 17.5%, 2.5%, 5.4%, 5.7%, respectively. After adjusting for other covariates, we observed that pregnancy was associated a reduced risk of symptoms of depression (OR = 0.23; 95% CI: 0.12-0.45), anxiety (OR = 0.26; 95% CI: 0.16-0.42), insomnia (OR = 0.19; 95% CI: 0.06-0.58), and PTSD (OR = 0.15; 95% CI: 0.04-0.53) during the COVID-19 epidemic. Our results indicate that during the COVID-19 epidemic in China, pregnant women have an advantage of facing mental problems caused by COVID-19, showing fewer depression, anxiety, insomnia, and PTSD symptoms than non-pregnant women.

The prevalence and risk factors of psychological disturbances of frontline medical staff in china under the COVID-19 epidemic: Workload should be concerned.

BACKGROUND: To our best knowledge, this was the first time to investigate the prevalence and risk factors of psychological disturbances, including depression, anxiety, somatization symptoms, insomnia and suicide, among frontline medical staff, who were working with the COVID-10 infected patients directly. METHODS: Patient Health Questionnaire Depression (PHQ-9), Generalized Anxiety Disorder Questionnaire scale (GAD-7), Symptom Check List-90 (SCL-90) somatization, Insomnia Severity Index (ISI), and the suicidal module of the Mini International Neuropsychiatric Interview were used for online survey. RESULTS: A total of 606 frontline hospital staff and1099 general population were recruited. The prevalence of depression, anxiety, somatization symptoms, insomnia, and suicide risk in frontline medical staffs were 57.6%, 45.4%, 12.0%, 32.0% and 13.0%, respectively. Except for suicide risk, the prevalence of other psychological disorders in frontline medical staff were higher than those in general population (all p<0.01). Among the frontline medical staff, the daily working hours were associated with all psychological disturbance (all p<0.01), women with anxiety (p = 0.02), body mass index (BMI) with anxiety and insomnia (p = 0.02, p = 0.03). Age was negatively associated with depression, anxiety, and insomnia (all p<0.01). Finally, years of working and family income were negatively associated with suicide risk (p = 0.03, p<0.001). CONCLUSION: Our study demonstrates that during the outbreak of COVID-19, the frontline medical staff are more likely to suffer from psychological disturbances than general population. It is noticeable that daily working hours are a risk factor for all measured psychological disturbances, and some other variables may be involved in certain psychological disturbances of frontline medical staff.

Public mental health under the long-term influence of COVID-19 in China: Geographical and temporal distribution.

BACKGROUND: The mental health status caused by major epidemics is serious and lasting. At present, there are few studies about the lasting mental health effects of COVID-19 outbreak. The purpose of this study was to investigate the mental health of the Chinese public during the long-term COVID-19 outbreak. METHODS: A total of 1172 online questionnaires were collected, covering demographical information and 8 common psychological states: depression, anxiety, somatization, stress, psychological resilience, suicidal ideation and behavior, insomnia, and stress disorder. In addition, the geographical and temporal distributions of different mental states were plotted. RESULTS: Overall, 30.1% of smokers increased smoking, while 11.3% of drinkers increased alcohol consumption. The prevalence rates of depression, anxiety, mental health problems, high risk of suicidal and behavior, clinical insomnia, clinical post-traumatic stress disorder symptoms, moderate-to-high levels of perceived stress were 18.8%, 13.3%, 7.6%, 2.8%, 7.2%, 7.0%, and 67.9%, respectively. Further, the geographical distribution showed that the mental status in some provinces/autonomous regions/municipalities was relatively more serious. The temporal distribution showed that the psychological state of the participants was relatively poorer on February 20, 24 to 26 and March 25, especially on March 25. LIMITATIONS: This cross-sectional design cannot make causal inferences. The snowball sampling was not representative enough. CONCLUSION: Our findings suggest that the prevalence rate of mental disorders in the Chinese public is relatively low in the second month of the COVID-19 pandemic. In addition, people's mental state is affected by the geographical and temporal distributions.