ABSTRACT
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.
ABSTRACT
Objectives: To explore psychological problems (Anxiety, Depression and Stress) in general population during Covid-19 pandemic. To find predictive effects of cognitive emotion regulation on psychological problems. Methodology: Convenient sampling technique was used to obtain the sample of 500 participants (Male = 239, Female = 261). Research instrument consists of four parts. First part comprised of consent form, second part was about demographic profile, third part was Depression, Anxiety and Stress scale (DASS-21) while Cognitive Emotion Regulation Questionnaire was the last part of the instrument. Results: SPSS 23.0 (Statistical Package for Social Sciences) version was used for study analysis. Descriptive statistics used to summarize the raw data. The inferential statistics such as regression, correlation and t-test were used to calculate the findings according to research objectives. Results indicated that 33%, 40% and 27% individuals were experiencing Depression, Anxiety and Stress respectively during Covid-19 pandemic. Among these participants, 48% (N = 242) were experiencing normal level of all these targeted psychological problems while remaining 52% (N = 258) respondents have mild to very severe level of all these disorders. Furthermore, findings of linear regression analysis illustrated that cognitive emotion regulation significantly predicts psychological problems [R2=.216; F = 51.223, p < .01] and 21% variation in psychological problems is due to cognitive emotion regulation. Conclusion: This study recommended that policy makers must develop and implement some necessary programmes to prevent and cure people from devastating psychological and mental health consequences of covid-19 on priority basis.