Predicting the Quality of Sleep Based on Job Burnout and the Anxiety of Being Infected by the Coronavirus among the Treatment Staff Taking Care of Patients with COVID-19

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Katani Amir Mahdi; Lavaf Arani Mohammad Javad; Derakhshani Mehdi; BAKHTIARI MARYAM

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Journal Paper

Paper Information

Journal: JOURNAL OF SLEEP SCIENCES Year:2021 | Volume:6 | Issue:3-4 Page(s): 74-78

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Information Journal Paper

Title

Predicting the Quality of Sleep Based on Job Burnout and the Anxiety of Being Infected by the Coronavirus among the Treatment Staff Taking Care of Patients with COVID-19

Author(s)

Katani Amir Mahdi | Lavaf Arani Mohammad Javad | Derakhshani Mehdi | BAKHTIARI MARYAM | Issue Writer Certificate

Keywords

Coronavirus

Sleep quality

Burnout

Psychological

Anxiety

Abstract

Background and Objective: Psychological problems including sleeping problems, Anxiety, and job Burnout are more prevalent among the treatment staff of the patients who suffer from Coronavirus disease 2019 (COVID-19) rather than other treatment staff. Therefore, the current study aimed to predict the quality of sleep based on job Burnout and the Anxiety of being infected by the disease among this staff. Materials and Methods: The current study was a cross-sectional research in which 215 participants from the treatment staff filled out the relevant questionnaires online. The sampling was performed by available method and the instruments included Pittsburgh Sleep quality Index (PSQI), Corona Disease Anxiety Scale (CDAS), and Maslach Burnout Invento-ry (MBI). Finally, the data were analyzed in two sections of descriptive and inferential statistics using SPSS software. Results: A correlation among all variables was observed. Moreover, the total model was significant (adjusted r²,= 0. 37, P = 0. 01) and COVID-19 Anxiety (standardized beta = 0. 33, P = 0. 01) and emotional exhaustion (standardized beta = 0. 40, P = 0. 01) predicted the Sleep quality more than variables of depersonalization (standardized beta =-0. 22, P = 0. 01) and feeling of success (standardized beta =-0. 12, P = 0. 06). Conclusion: COVID-19 Anxiety and job Burnout are good predictors for sleep problems in the treatment staff of the patients who suffer from COVID-19.

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APA: Copy

Katani, Amir Mahdi, Lavaf Arani, Mohammad Javad, Derakhshani, Mehdi, & BAKHTIARI, MARYAM. (2021). Predicting the Quality of Sleep Based on Job Burnout and the Anxiety of Being Infected by the Coronavirus among the Treatment Staff Taking Care of Patients with COVID-19. JOURNAL OF SLEEP SCIENCES, 6(3-4), 74-78. SID. https://sid.ir/paper/1131703/en

Vancouver: Copy

Katani Amir Mahdi, Lavaf Arani Mohammad Javad, Derakhshani Mehdi, BAKHTIARI MARYAM. Predicting the Quality of Sleep Based on Job Burnout and the Anxiety of Being Infected by the Coronavirus among the Treatment Staff Taking Care of Patients with COVID-19. JOURNAL OF SLEEP SCIENCES[Internet]. 2021;6(3-4):74-78. Available from: https://sid.ir/paper/1131703/en

IEEE: Copy

Amir Mahdi Katani, Mohammad Javad Lavaf Arani, Mehdi Derakhshani, and MARYAM BAKHTIARI, “Predicting the Quality of Sleep Based on Job Burnout and the Anxiety of Being Infected by the Coronavirus among the Treatment Staff Taking Care of Patients with COVID-19,” JOURNAL OF SLEEP SCIENCES, vol. 6, no. 3-4, pp. 74–78, 2021, [Online]. Available: https://sid.ir/paper/1131703/en

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