AI Article Synopsis
- An online survey analyzed COVID-19 fear among healthcare professionals in Bangladesh using a specific fear scale and statistical models.
- Factors like financial constraints, self-employment, and general duties were found to be significant predictors of COVID-19 fear through multiple linear regression.
- The study highlighted a strong link between mental health issues (anxiety and insomnia) and heightened fear, offering insights for policymakers and mental health workers to address excessive fear related to the pandemic.
Article Abstract
To determine the factors associated with the COVID-19 fear, we conducted an online survey among healthcare professionals in Bangladesh. The "fear of COVID-19 scale" was used to measure the fear. The predicting factors were identified by deploying a multiple linear regression model. Structural equation modelling was used to explore the relationship between mental health symptoms and COVID-19 fear. The overall fear score was 19.39 ± 5.26 (M ± SD) out of 28. Multiple linear regression identified financial constraints, self-employment, and general duties as the independent predictors of COVID-19 fear. However, structural equation modelling found a strong positive relationship between anxiety, insomnia, and fear. Results might be helpful for the policymakers and mental healthcare professionals to identify and manage maladaptive levels of fear and worry because of the coronavirus outbreak.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395230 | PMC |
| http://dx.doi.org/10.1016/j.dialog.2022.100037 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!