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    Belief in a COVID-19 Conspiracy Theory as a Predictor of Mental Health and Well-Being of Health Care Workers in Ecuador: Cross-Sectional Survey Study (Preprint)
    (JMIR Publications, 2020-05-28)
    BACKGROUND During the coronavirus disease (COVID-19) pandemic, social media platforms have become active sites for the dissemination of conspiracy theories that provide alternative explanations of the cause of the pandemic, such as secret plots by powerful and malicious groups. However, the association of individuals’ beliefs in conspiracy theories about COVID-19 with mental health and well-being issues has not been investigated. This association creates an assessable channel to identify and provide assistance to people with mental health and well-being issues during the pandemic. OBJECTIVE Our aim was to provide the first evidence that belief in conspiracy theories regarding the COVID-19 pandemic is a predictor of the mental health and well-being of health care workers. METHODS We conducted a survey of 252 health care workers in Ecuador from April 10 to May 2, 2020. We analyzed the data regarding distress and anxiety caseness with logistic regression and the data regarding life and job satisfaction with linear regression. RESULTS Among the 252 sampled health care workers in Ecuador, 61 (24.2%) believed that the virus was developed intentionally in a lab; 82 (32.5%) experienced psychological distress, and 71 (28.2%) had anxiety disorder. Compared to health care workers who were not sure where the virus originated, those who believed the virus was developed intentionally in a lab were more likely to report psychological distress and anxiety disorder and to have lower levels of job satisfaction and life satisfaction. CONCLUSIONS This paper identifies belief in COVID-19 conspiracy theories as an important predictor of distress, anxiety, and job and life satisfaction among health care workers. This finding will enable mental health services to better target and provide help to mentally vulnerable health care workers during the ongoing COVID-19 pandemic.
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    The distress of Iranian adults during the Covid-19 pandemic – More distressed than the Chinese and with different predictors
    (Cold Spring Harbor Laboratory, 2020-04-07)
    Summary Early papers on the mental health of the public during the Covid-19 pandemic surveyed participants from China. Outside of China, Iran has emerged as one of the most affected countries with a high death count and rate. The paper presents the first empirical evidence from Iranian adults during the Covid-19 pandemic on their level of distress and its predictors. On March 25–28, 2020, a dire time for Covid-19 in Iran, we surveyed 1058 adults from all 30 provinces in Iran using the Covid-19 Peritraumatic Distress Index (CPDI). The distress level of Iranian adults (mean: 34.54; s.d.: 14.92) was significantly higher (mean difference: 10.9; t =22.7; p <0.0001; 95% CI : 10.0 to 11.8) than that of Chinese adults (mean: 23.65; s.d.: 5.45) as reported in a prior study with the same measure of Covid-19 Peritraumatic Distress Index (CPDI). We also found the predictors of distress in Iran vary from those in China. Our findings that the predictors of distress in Iran vary from those in China suggest the need to study the predictors of mental health in individual countries during the Covid-19 pandemic to effectively identify and screen for those more susceptible to mental health issues. Funding None
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    The Mental Health of Healthcare Staff during the COVID-19 Pandemic: It Depends on How Much They Work and Their Age
    (Cold Spring Harbor Laboratory, 2020-08-21)
    ABSTRACT Background Healthcare staff are the forefront of fight against COVID-19 and they are under enormous pressure due to the fast growth in the number and severity of infected cases. This creates their mental issues such as distress, depression and anxiety. Exploring healthcare staff’s mental health during the pandemic contributes to improving their persistence in the growing challenges created by COVID-19 and enabling effective management of their mental health. Methods An online survey of 280 healthcare staff in all the 31 provinces of Iran was conducted during April 5–20, 2020. The survey assessed staff’s distress, depression and anxiety in the COVID-19 pandemic. Results Nearly a third of healthcare staff suffered from distress, depression and anxiety. Females and more educated healthcare staff were more likely to experience distress. Compared to personnel who did not have COVID-19, those who were unsure whether they had COVID-19 were more likely to experience distress and depression. The number of COVID-19 cases among the staff’s colleagues or friends positively predicted their anxiety. Compared to radio technologists, doctors were less likely to experience distress and anxiety. Technicians and obstetrics experienced less anxiety. Analysis the interaction between weekly working days and age of the staff indicated the chance of experiencing distress and depression varied greatly by working days among younger but not older healthcare staff. Conclusion The predictors of mental health issues assists healthcare organizations to identify healthcare staff with mental health issues in sever crises such as the COVID-19 pandemic. Our research highlight the need to identify more working characteristics as predictors for healthcare staff at different ages. Funding This work was supported by Tsinghua University-INDITEX Sustainable Development Fund (No. TISD201904).
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    Early Evidence and Predictors of Mental Distress of Adults One Month in the COVID-19 Epidemic in Brazil
    (Cold Spring Harbor Laboratory, 2020-04-23)
    ABSTRACT Objective We aim to provide early evidence of mental distress and its associated predictors among adults one month into the COVID-19 crisis in Brazil. Methods We conducted an online survey of 638 adults in Brazil on March 25–28, 2020, about one month (32 days) cross-sectionally after the first COVID-19 case in South America was confirmed in São Paulo. The 638 adults were in 25 states out of the 26 Brazilian states, with the only exception being Roraima, the least populated state in the Amazon. Of all the participating adults, 24%, 20%, and 18% of them were located in Rio de Janeiro state, Santa Catarina state, and São Paulo state respectively. Results In Brazil, 52% (332) of the sampled adults experienced mild or moderate distress, and 18.8% (120) suffered severe distress. Adults who were female, younger, more educated, and exercised less reported higher levels of distress. Each individual’s distance from the Brazilian epicenter of São Paulo interacted with age and workplace attendance to predict the level of distress. The “typhoon eye effect” was stronger for people who were older or attended their workplace less. The most vulnerable adults were those who were far from the epicenter and did not go to their workplace in the week before the survey. Conclusion Identifying the predictors of distress enables mental health services to better target finding and helping the more mentally vulnerable adults during the ongoing COVID-19 crisis.
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    The curvilinear relationship between the age of adults and their mental health in Iran after its peak of COVID-19 cases
    (Cold Spring Harbor Laboratory, 2020-06-12)
    Abstract The emerging body of research on the predictors of mental health in the COVID-19 pandemic has revealed contradictory findings, which prevent effective psychiatry screening for mental health assistance. This study aims to identify the predictors of nonsomatic pain, depression, anxiety, and distress, especially focusing on age as a nonlinear predictor. We conducted a survey of 474 adults in Iran during April 1–10, 2020, when Iran had just passed its first peak of the COVID-19 pandemic with new confirmed cases. We found that Age had a curvilinear relationship with nonsomatic pain, depression, and anxiety. Age was associated with pain, depression, and anxiety disorders negatively among adults younger than 45 years, but positively among seniors older than 70 years. Adults who were female, unsure about their chronic diseases, and exercised less per day were more likely to have mental health issues. This study advances the use of age as an effective predictor by uncovering a curvilinear relationship between individuals’ age and mental health issues by using a sample of adults across a wide spectrum of ages. We hope future research on mental health during COVID-19 pays more attention to nonlinear predictors.
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    Belief in Conspiracy Theory about COVID-19 Predicts Mental Health and Well-being: A Study of Healthcare Staff in Ecuador
    (Cold Spring Harbor Laboratory, 2020-05-29)
    Abstract Background Social media are becoming hotbeds of conspiracy theories, which aim to give resolute explanations on the cause of COVID-19 pandemic. Yet, no research has investigated whether individuals’ belief in conspiracy theory about COVID-19 is associated with mental health and well-being issues. This association enables an assessable channel to identify and reach people with mental health and well-being issues during the pandemic. Objective We aim to provide the first evidence of belief in conspiracy theory regarding the COVID-19 virus as a predictor of the mental health and well-being of healthcare workers. Methods We conducted a survey of 252 healthcare workers in Ecuador from April 10 to May 2, 2020. We analyzed the data of distress and anxiety caseness with logistic regression and life and job satisfaction with linear regression. Results Among the sampled healthcare workers in Ecuador, 24.2% believed that the virus was developed intentionally in a lab; 32.54% experienced distress disorder, and 28.17% had anxiety disorder. Compared to healthcare workers who were not sure where the virus originated, those who believed the virus was developed intentionally in a lab were more likely to have distress disorder and anxiety disorder and had lower levels of job satisfaction and life satisfaction. Conclusions This paper identifies belief in a COVID-19 conspiracy theory as an important predictor of distress, anxiety, and job and life satisfaction of healthcare workers. It enables mental health services to better target and help mentally vulnerable healthcare workers during the ongoing COVID-19 pandemic.
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    Item type:Publication,
    Belief in a COVID-19 conspiracy theory as a predictor of mental health and well-being of health care workers in Ecuador: Cross-sectional survey study
    (JMIR Publications Inc., 2020-07-01)
    Background: During the coronavirus disease (COVID-19) pandemic, social media platforms have become active sites for the dissemination of conspiracy theories that provide alternative explanations of the cause of the pandemic, such as secret plots by powerful and malicious groups. However, the association of individuals’ beliefs in conspiracy theories about COVID-19 with mental health and well-being issues has not been investigated. This association creates an assessable channel to identify and provide assistance to people with mental health and well-being issues during the pandemic. Objective: Our aim was to provide the first evidence that belief in conspiracy theories regarding the COVID-19 pandemic is a predictor of the mental health and well-being of health care workers. Methods: We conducted a survey of 252 health care workers in Ecuador from April 10 to May 2, 2020. We analyzed the data regarding distress and anxiety caseness with logistic regression and the data regarding life and job satisfaction with linear regression. Results: Among the 252 sampled health care workers in Ecuador, 61 (24.2%) believed that the virus was developed intentionally in a lab; 82 (32.5%) experienced psychological distress, and 71 (28.2%) had anxiety disorder. Compared to health care workers who were not sure where the virus originated, those who believed the virus was developed intentionally in a lab were more likely to report psychological distress and anxiety disorder and to have lower levels of job satisfaction and life satisfaction. Conclusions: This paper identifies belief in COVID-19 conspiracy theories as an important predictor of distress, anxiety, and job and life satisfaction among health care workers. This finding will enable mental health services to better target and provide help to mentally vulnerable health care workers during the ongoing COVID-19 pandemic.
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    Mental health of cisgender and transgender during COVID-19 pandemic
    (2020-10-28)
    Normally every individual wants to lead a free life movement but sometimes could not possible due to external environmental effects. During and after the home quarantine, people are still scared by consistent death and infected news of 2019-nCoV pandemic. Which is why, most of the persons have been feeling insecure and nervous that significantly growing up long term stress. The current study depicts the ongoing mental health condition of Bangladeshi cisgender and transgender individuals caused by SARS-CoV-2 outbreak.
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    Development and validation of the theory-driven School Resilience Scale for Adults: Preliminary results
    (Elsevier, 2020-12-01)
    Resilience is the ability of an individual or community to adapt to life challenges or adversities while maintaining mental health and well-being. In the multi-systemic resilience paradigm, human development and resilience is embedded in adaptive systems and in their interactions. Although the relationship between school systems and adolescents' mental wellbeing is established, there is no agreement on how to recognize and evaluate the most relevant aspects of the school community, acting at collective level, to boost positive socio-emotional and educational outcomes in children and adolescents. This study presents the development and preliminary validation of a new and theory-driven construct and instrument, the School Resilience Scale for Adults (SRS). School Resilience comprises five interrelated constructs (i.e. Positive relationships, Belonging, Inclusion, Participation, and Mental health awareness) connected theoretically to wellbeing and resilience in children and adolescents. The scale development was theory-driven, and the instrument was tested in four European counties in the frame of the UPRIGHT project (Universal Preventive Resilience Intervention Globally implemented in schools to improve and promote mental Health for Teenagers). Overall, 340 adults participated, 129 teachers and school staff, and 211 relatives of teenagers. The sample was randomly split for two studies: (1) an Exploratory Factor analysis (ESEM), and (2) Confirmatory Factor (CFA) analysis. In the exploratory analysis, Chi-Square difference test and model fit indices point towards the five-factor solution over a three-factor solution. The confirmatory study indicated that a five-factor model (RMSEA = 0.038, CFI = 0.96, TLI = 0.95, SRMR = 0.045) was slightly better than a second-order model (RMSEA = 0.046, CFI = 0.94, TLI = 0.93, SRMR = 0.05). Convergent and discriminant validities were partially demonstrated. Alpha and omega reliability coefficients verified the measurement model of the scale. The results confirmed that a multidimensional construct of School Resilience, defined as a collective resilience factor, embedded in the school staff, family members, and adolescents’ interrelated systems can be characterized and measured. Further studies must determine its role in the promotion of adolescents' resilience, mental wellbeing, educational outcomes, and in their positive adaptation in challenging contexts.
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    Does multidimensional poverty affect depression? Evidence from Peru
    (SAGE Publishing, 2021-11-13)
    The number of people in low- and middle-income countries who suffer from depression is increasing, and a significant proportion of people in these countries live in poverty. We estimated the effect of living in multidimensional poverty on experiencing symptoms associated with major depression using the 2018 Peruvian Demographic and Health Survey. We used an instrumental variables approach to overcome the potential endogeneity bias caused by the simultaneous relationship between multidimensional poverty and depression. We found that living in multidimensional poverty significantly increases depression symptom severity. This has urgent policy implications for low- and middle-income countries with limited provision of mental health services.