Association Between Fear of COVID-19 and Emotional Distress in Nurses With Mediating Role of Socio-Demographic Features
Objectives: To determine the predictive association between fear of COVID-19 and emotional distress (depression, anxiety, and stress) in frontline and non-frontline nurses. To explore the mediating role of socio-demographic features.Methods: Correlational cross-sectional research design was implied....
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-10-01
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| Series: | Frontiers in Psychology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2021.734623/full |
| _version_ | 1829479008437272576 |
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| author | Mueen Abid Maryam Riaz Zaqia Bano Tahira Parveen Muhammad Umar Fayyaz Halima Sadia Qureshi |
| author_facet | Mueen Abid Maryam Riaz Zaqia Bano Tahira Parveen Muhammad Umar Fayyaz Halima Sadia Qureshi |
| author_sort | Mueen Abid |
| collection | DOAJ |
| description | Objectives: To determine the predictive association between fear of COVID-19 and emotional distress (depression, anxiety, and stress) in frontline and non-frontline nurses. To explore the mediating role of socio-demographic features.Methods: Correlational cross-sectional research design was implied. A total of 500 on-duty male and female, frontline and non-frontline, nurses were included from five major hospitals in Gujrat (Aziz Bhatti Shaheed Hospital, City Hospital, Doctors Hospital, Akram Hospital, and Gujrat Hospital). Fear of COVID-19 scale and the Urdu version of depression, anxiety, and stress scale - 21 (DASS-21) were used to measure variables of interest. Descriptive statistics, structural equation modeling (SEM), linear regression, and t-test were carried out using Statistical Package for Social Sciences (SPSS) 21.Result: Structural equation modeling (SEM) revealed a significant predictive link between fear of COVID-19 and depression, anxiety, and stress (goodness of model fit; NFI = 0.93, GFI = 0.914, AGFI = 0.93, CFI = 0.936, and IFI = 0.936). Furthermore, a significant mediating effect of certain demographic features was discovered by SEM (CMIN/DF = 1.11, NFI = 0.94, TLI = 0.98, GFI = 0.08, AGFI = 0.93, RMSEA = 0.029, CFI = 0.99, and IFI = 0.99). Results of linear regression analysis also revealed a momentous predictive association between fear of COVID-19 and emotional distress (R = 0.860). In comparative analysis, the results of t-test explored the statistical significant difference in fear of COVID-19 and emotional distress between frontline (mean = 25.775, 36.147 and SD = 1.75, 2.23) and non-frontline nurses (mean = 21.702, 27.353 and SD = 4.607, 10.212), with t(130) =7.111, 6.92.Conclusion: Managing the mediating effect of demographic characteristics and reducing the fear of COVID-19 can help nurses to overcome emotional distress, such as depression, anxiety, and stress. Further, this will increase the productivity among nurses. |
| first_indexed | 2024-12-14T17:28:30Z |
| format | Article |
| id | doaj.art-c85914f203564b8e8cd3257a84956193 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-12-14T17:28:30Z |
| publishDate | 2021-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-c85914f203564b8e8cd3257a849561932022-12-21T22:53:10ZengFrontiers Media S.A.Frontiers in Psychology1664-10782021-10-011210.3389/fpsyg.2021.734623734623Association Between Fear of COVID-19 and Emotional Distress in Nurses With Mediating Role of Socio-Demographic FeaturesMueen Abid0Maryam Riaz1Zaqia Bano2Tahira Parveen3Muhammad Umar Fayyaz4Halima Sadia Qureshi5Department of Psychology, University of Gujrat, Gujrat, PakistanDepartment of Psychology, University of Gujrat, Gujrat, PakistanDepartment of Psychology, National University of Medical Sciences Rawalpindi, Rawalpindi, PakistanDepartment of Psychology, University of Gujrat, Gujrat, PakistanDepartment of Psychology, National University of Medical Sciences Rawalpindi, Rawalpindi, PakistanDepartment of Psychology, National University of Medical Sciences Rawalpindi, Rawalpindi, PakistanObjectives: To determine the predictive association between fear of COVID-19 and emotional distress (depression, anxiety, and stress) in frontline and non-frontline nurses. To explore the mediating role of socio-demographic features.Methods: Correlational cross-sectional research design was implied. A total of 500 on-duty male and female, frontline and non-frontline, nurses were included from five major hospitals in Gujrat (Aziz Bhatti Shaheed Hospital, City Hospital, Doctors Hospital, Akram Hospital, and Gujrat Hospital). Fear of COVID-19 scale and the Urdu version of depression, anxiety, and stress scale - 21 (DASS-21) were used to measure variables of interest. Descriptive statistics, structural equation modeling (SEM), linear regression, and t-test were carried out using Statistical Package for Social Sciences (SPSS) 21.Result: Structural equation modeling (SEM) revealed a significant predictive link between fear of COVID-19 and depression, anxiety, and stress (goodness of model fit; NFI = 0.93, GFI = 0.914, AGFI = 0.93, CFI = 0.936, and IFI = 0.936). Furthermore, a significant mediating effect of certain demographic features was discovered by SEM (CMIN/DF = 1.11, NFI = 0.94, TLI = 0.98, GFI = 0.08, AGFI = 0.93, RMSEA = 0.029, CFI = 0.99, and IFI = 0.99). Results of linear regression analysis also revealed a momentous predictive association between fear of COVID-19 and emotional distress (R = 0.860). In comparative analysis, the results of t-test explored the statistical significant difference in fear of COVID-19 and emotional distress between frontline (mean = 25.775, 36.147 and SD = 1.75, 2.23) and non-frontline nurses (mean = 21.702, 27.353 and SD = 4.607, 10.212), with t(130) =7.111, 6.92.Conclusion: Managing the mediating effect of demographic characteristics and reducing the fear of COVID-19 can help nurses to overcome emotional distress, such as depression, anxiety, and stress. Further, this will increase the productivity among nurses.https://www.frontiersin.org/articles/10.3389/fpsyg.2021.734623/fullCOVID-19emotional distresslinear aggressionstructural equation modelingdepressionanxiety |
| spellingShingle | Mueen Abid Maryam Riaz Zaqia Bano Tahira Parveen Muhammad Umar Fayyaz Halima Sadia Qureshi Association Between Fear of COVID-19 and Emotional Distress in Nurses With Mediating Role of Socio-Demographic Features Frontiers in Psychology COVID-19 emotional distress linear aggression structural equation modeling depression anxiety |
| title | Association Between Fear of COVID-19 and Emotional Distress in Nurses With Mediating Role of Socio-Demographic Features |
| title_full | Association Between Fear of COVID-19 and Emotional Distress in Nurses With Mediating Role of Socio-Demographic Features |
| title_fullStr | Association Between Fear of COVID-19 and Emotional Distress in Nurses With Mediating Role of Socio-Demographic Features |
| title_full_unstemmed | Association Between Fear of COVID-19 and Emotional Distress in Nurses With Mediating Role of Socio-Demographic Features |
| title_short | Association Between Fear of COVID-19 and Emotional Distress in Nurses With Mediating Role of Socio-Demographic Features |
| title_sort | association between fear of covid 19 and emotional distress in nurses with mediating role of socio demographic features |
| topic | COVID-19 emotional distress linear aggression structural equation modeling depression anxiety |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2021.734623/full |
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