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Item type:Publication, When the storm is the strongest: Healthcare staff’s health conditions and job satisfaction and their associated predictors during the epidemic peak of COVID-19(Cold Spring Harbor Laboratory, 2020-05-02)Abstract This study reports the physical health, mental health, anxiety, depression, distress, and job satisfaction of healthcare staff in Iran when the country faced its highest number of total active COVID-19 cases. In a sample of 304 healthcare staff (doctors, nurses, radiologists, technicians, etc.), we found a sizable portion reached the cutoff levels of disorders in anxiety (28.0%), depression (30.6%), and distress (20.1%). Age, gender, education, access to PPE (personal protective equipment), healthcare institutions (public vs. private), and individual status of COVID-19 infection each predicted some but not all the outcome variables of SF-12, PHQ-4, K6, and job satisfaction. The healthcare workers varied greatly in their access to PPE and in their status of COVID-19 infection: negative (69.7%), unsure (28.0%), and positive (2.3%). The predictors were also different from those identified in previous studies of healthcare staff during the COVID-19 crisis in China. This study helps to identify the healthcare staff in need to enable more targeted help as healthcare staff in many countries are facing peaks in their COVID-19 cases. - Some of the metrics are blocked by yourconsent settings
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 effects of social capital and psychological resilience on employees' positive work attitudes(Inderscience Publishers, 2020-01-01)This study analyses the antecedents and consequence of employees' psychological resilience (PR) in the workplace. We first examined the three dimensions of the effects of social capital (structural, relational and cognitive) on employees' PR. Then, we tested the effects of PR on employees' positive work attitudes. A cross-sectional survey data from 204 employees working in an Iranian state-owned organisation supports the positive effects of three dimensions of employees' social capital on their psychological resilience. We also found that PR contributes to increasing positive work attitudes toward the achievement of organisational goals among employees. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, At the height of the storm: Healthcare staff's health conditions and job satisfaction and their associated predictors during the epidemic peak of COVID-19(Academic Press Inc., 2020-07-01)This study reports the physical health, mental health, anxiety, depression, distress, and job satisfaction of healthcare staff in Iran when the country faced its highest number of total active COVID-19 cases. In a sample of 304 healthcare staff (doctors, nurses, radiologists, technicians, etc.), we found a sizable portion reached the cutoff levels of disorders in anxiety (28.0%), depression (30.6%), and distress (20.1%). Age, gender, education, access to PPE (personal protective equipment), healthcare institutions (public vs. private), and individual status of COVID-19 infection each predicted some but not all the outcome variables of SF-12, PHQ-4, K6, and job satisfaction. The healthcare workers varied greatly in their access to PPE and in their status of COVID-19 infection: negative (69.7%), unsure (28.0%), and positive (2.3%). The predictors were also different from those identified in previous studies of healthcare staff during the COVID-19 crisis in China. This study helps to identify the healthcare staff in need to enable more targeted help as healthcare staff in many countries are facing peaks in their COVID-19 cases. - 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The relationship between age and mental health among adults in Iran during the COVID-19 pandemic(Springer Science+Business Media, 2021-06-22)The evidence on the predictors of mental health in the COVID-19 pandemic has revealed contradictory findings, which prevent effective screening for mental health assistance. This study aims to identify the predictors of mental health issues, specifically examining age as a nonlinear predictor. Based on a survey of 474 adults using snowball sampling under the COVID-19 pandemic during April 1th–10th, 2020, in Iran, we found that age had a curvilinear relationship with nonsomatic pain, depression, and anxiety. Specifically, it predicted pain, depression, and anxiety disorders, negatively among adults younger than 45 years, yet positively among seniors older than 70 years. Adults who were female, were unsure about their chronic diseases, or exercised less were more likely to have mental health issues. This study, being the first paper to examine age curvilinearly, suggests future research to pay more attention to nonlinear predictors of mental health disorders in the COVID-19 pandemic. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Why we intend to act for good: Life as the bridge from light and dark personality to social entrepreneurial intention(Elsevier BV, 2026-08-01)How do personality-based ethical orientations shape individuals' sense of purpose and their intentions to engage in prosocial venture creation? Drawing on Social Cognitive Career Theory (SCCT), this study examines the moral and psychological foundations of social entrepreneurial intention — a prosocial behavioral intention — using data from 29 countries (N = 8003). We test how two contrasting sets of personality traits, the Light Triad (faith in humanity, humanism, Kantianism) and the Dark Triad (Machiavellianism, psychopathy, narcissism), influence individuals' sense of life purpose and, in turn, their intention to engage in social entrepreneurship. Results show that Light Triad traits enhance life purpose and foster stronger social entrepreneurial intentions, whereas Dark Triad traits reduce life purpose and weaken such intentions. Narcissistic women, however, report higher social entrepreneurial intentions than men. By identifying personality- and purpose-based antecedents of a prosocial behavioral intention — long a central object of inquiry in environmental psychology as a precursor of sustainable behavior — these findings advance the psychology of moral engagement and offer implications for how virtue and vice translate into prosocial action in organizational and societal contexts.