Intolerance of uncertainty, depression, and anxiety: Examining the indirect and moderating effects of worry

Dar, Kaiser Ahmad; Iqbal, Naved; Mushtaq, Arbaaz

doi:10.1016/j.ajp.2017.04.017

Cited by 157 publications

(142 citation statements)

References 19 publications

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“…Sources of distress may include feelings of vulnerability or loss of control and concerns about health of self, spread of virus, health of family and others, changes in work, and being isolated [23]. Challenges and stress can subsequently trigger common mental disorder, such as anxiety and depression [24].…”

Section: Discussionmentioning

confidence: 99%

A study on mental health status among the staff in a designated hospital for COVID- 19

Wang¹,

Sun²,

Gao³

et al. 2020

Preprint

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Background: We investigate the mental health status of all the staff members who worked for the designated hospital during the initial stage of COVID-19, so as to understand the severity of mental health problems, and analyze the risk factors.Methods: Through the patients health questionnaire-9(PHQ-9) and panic disorder severity scales(PDSS), we surveyed the status of depression and panic disorder of the staff who participated in the prevention and treatment of COVID-19 in designated hospital in the early stage of epidemic. The data is described by the number of cases (percentage), median and interquartile range. The chi square test was used for categorical variables and the rank sum test was used for continuous variables. The risk factors of severe depression or panic disorder were analyzed by binary logistic regression test.Results: Totally 702 questionnaires were sent out and 694(98.9%) was received and qualified, the median score of PHQ-9 among all the staff was 1 (IQR,0-4), 143(20.6%) of them had depression, 39 (5.6%) had serious depression; the median score of PDSS was 2 (IQR,0-5), 81 (11.7%) of them had panic disorder and 47(6.7%) of them had severe panic disorder; Among the people in different work lines, the first-line staff scored the highest: PHQ-9 score was 4 (0-8); PDSS score was 4 (1-9), which were significantly higher than the second-line and third-line staff (P<0.001). Multivariate logistic regression analysis showed that the adjusted risk of severe depression in first-line staff was 6.63 fold(P < 0.001); the risk of severe panic disorder was 2.62 fold (P=0.003) higher than that of non-first line group.Conclusions: Many staff in the designated hospital for COVID-19 have mental health problems. Among them, first-line workers are a high-risk group with severe depression and panic disorder, and further psychological intervention is needed for them.

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Section: Discussionmentioning

confidence: 99%

A study on mental health status among the staff in a designated hospital for COVID- 19

Wang¹,

Sun²,

Gao³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…These, along with some analysis and misinformation, can heighten concern among the masses (Bao et al, 2020). On the other hand, challenges and stress can trigger common mental disorder, such as anxiety and depression (Dar et al, 2017).…”

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confidence: 99%

Iranian mental health during the COVID-19 epidemic

Zandifar

Badrfam

2020

Asian Journal of Psychiatry

670

479

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“…Presently, the studies on the depression and anxiety during COVID-19 are primarily focused on the medical staff, and only a few studies, lacking large samples, are on the mental health of ordinary residents. Some studies have pointed out that the psychological impact caused by these public health emergencies, such as the severe acute respiratory syndrome(SARS) epidemic in China in 2003 [12] and the Middle East respiratory syndrome (MERS) epidemic in 2012 [13,14], may last for a long time. These events have brought severe psychological trauma to the people.…”

Section: Introductionmentioning

confidence: 99%

Mental health status of Chinese residents during the COVID-19 epidemic

Jiang

Liu

Zhang

et al. 2020

Preprint

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Background: To investigate the mental health status of Chinese residents during the epidemic of COVID-19 and identify the positive and negative factors affecting mediating effects of negative cognitive processing bias on mental health. Methods: Using a general questionnaire, such as the self-rating depression scale, the state anxiety inventory, and the negative cognitive processing bias questionnaire, an internet-based survey was conducted on 60199 residents in China. An ordered multiple logistic regression analysis model was used to analyze the collected data. Results: The survey showed that the incidences of mild, moderate, and severe depression were 62.65%, 11.33%, and 6.14%, respectively, and that of mild, moderate and severe anxiety were 33.21%, 41.27%, and 22.99%, respectively. The results of ordered multiple logistic regression analysis showed that factors, such as female gender, age more than 55 years elderly, high school education level, medical staff, marital conflicts, negative attention bias, rumination, and death rate positively affected the level of depression and anxiety. The good family functionality, democratic working atmosphere, and a myriad of social activities negatively affected the level of depression and anxiety.Conclusion: The Chinese residents exhibited a high prevalence of anxiety and depression during the epidemic. Thus, psychological interventions should focus on the vulnerable groups, and cognitive training should focus on reducing the negative cognitive processing bias that might be an effective way to alleviate the mental stress of the general public during the COVID-19 pandemic.

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Intolerance of uncertainty, depression, and anxiety: Examining the indirect and moderating effects of worry

Cited by 157 publications

References 19 publications

A study on mental health status among the staff in a designated hospital for COVID- 19

A study on mental health status among the staff in a designated hospital for COVID- 19

Iranian mental health during the COVID-19 epidemic

Mental health status of Chinese residents during the COVID-19 epidemic

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