# Nurses Burnout, Resilience, and Its Association With Socio-Demographic Factors During COVID-19 Pandemic

**Authors:** Majid Heidari Jamebozorgi, Ali Karamoozian, Tayebe Ilaghinezhad Bardsiri, Hojjat Sheikhbardsiri

PMC · DOI: 10.3389/fpsyt.2021.803506 · Frontiers in Psychiatry · 2022-01-14

## TL;DR

This study explores how burnout and resilience in nurses are linked to socio-demographic factors during the pandemic.

## Contribution

The study identifies key demographic predictors of burnout and the protective role of resilience in nurses during the pandemic.

## Key findings

- Nurses showed severe burnout symptoms and moderate resilience levels.
- Emotional exhaustion and personal accomplishment were significantly negatively correlated with resilience.
- Demographic factors like hospital type and overtime predicted burnout subcategories.

## Abstract

In the recent pandemic, nurses have faced workload and being exposed to burnout. Resilience helps address work-related psychological problems such as stressful events and burnout. According to the roles of nurses in the healthcare system, we investigated the relationship between resiliency and burnout in nurses.

In this descriptive analytical cross-sectional study, 364 nurses participated from April to June 2021. Census sampling was used to recruit participants. Maslach burnout inventory (MBI), Connor-Davidson Resiliency Scale (CDRISC), and a demographic check-list were utilized to collect data. Data analysis was done using SPSS version 22. Shapiro-Wilk, Kruskal–Wallis test, Mann–Whitney U-test, correlation analysis, and generalized linear model were applied accordingly.

Overall, the findings showed that nurses had severe symptoms of burnout and a moderate level of resilience. The two domains of burnout, emotional exhaustion and personal accomplishment had a significantly negative correlation with resilience (r = −0.442, p < 0.001 and r = −0.351, p = 0.03, respectively). Linear regression showed that demographic characteristics (Hospital type, ward type, gender, and overtime) were the major predictors of the 3 sub-categories of burnout. A significant negative correlation was observed between burnout and resilience highlighting the role of resilience in reducing burnout (P < 0.05).

In order to help nurses to tackle and endure burnout in pandemic times, there is a need to implement national and local policies to help them accordingly.

## Full-text entities

- **Diseases:** mental illnesses (MESH:D001523), TB (MESH:D014390), Burnout (MESH:D002055), COVID 19 (MESH:D000086382), infected (MESH:D007239), fatigue (MESH:D005221), tired (MESH:C537575), EE (MESH:D006359), trauma (MESH:D014947), death of (MESH:D003643), emotional (MESH:D003072), anxiety (MESH:D001007), depression (MESH:D003866)
- **Species:** Homo sapiens (human, species) [taxon 9606], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049], Gammacoronavirus (genus) [taxon 694013]

## Full text

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## References

45 references — full list in the complete paper: https://tomesphere.com/paper/PMC8795765/full.md

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Source: https://tomesphere.com/paper/PMC8795765