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Item type:Publication, 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). - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The mental health of healthcare staff working during the COVID-19 crisis: their working hours as a boundary condition(Dove Medical Press Ltd, 2021-01-01)Healthcare staff operate at the forefront of the fight against COVID-19 and hence face enormous physical and mental pressures. We aim to investigate healthcare staff’s mental health issues and the associated predictors during the COVID-19 pandemic. Specifically, this paper aims to identify some unique predictors of healthcare staff’s mental health issues in Iran, the second country after China to experience a major COVID-19 crisis. Methods: An online survey of 280 healthcare staff in all 31 provinces of Iran assessed staff’s mental distress (K6), depression, and anxiety (PHQ-4) during April 5–20, 2020 during the COVID-19 crisis. Results: Nearly a third of healthcare staff surpassed the cutoff for distress, depression, and anxiety symptoms. Females or more educated healthcare staff were more likely to experience distress. Those who were unsure whether they had COVID-19 were more likely to experience distress and depression symptoms. The number of COVID-19 cases among a healthcare worker’s colleagues or friends positively predicted the worker’s anxiety symptoms. Amongst healthcare staff, doctors were less likely than radiology technologists to experience distress and anxiety symptoms. Technicians and obstetrics staff experienced fewer anxiety symptoms. The age and the weekly working days of healthcare staff interacted such that age is asignificant predictor of mental health issues among younger but not older healthcare staff. Conclusion: The identification of the predictors of mental health issues can guide healthcare organizations to screen healthcare workers who are more likely to be mentally vulnerable in the ongoing COVID-19 pandemic.