Correlation between emotional intelligence and negative emotions of front‐line nurses during the COVID‐19 epidemic: A cross‐sectional study
Abstract
Aims and objectives The purpose of this study was to understand the emotional intelligence level (EI) and negative emotional status of the front-line nurses in the epidemic situation and to further explore the relationship between them. Background During the COVID-19 epidemic, under the influence of multiple factors, nurses were vulnerable to negative emotions. While previous studies have explored, the role of emotional intelligence in negative emotions, the relationship between the two has not been sufficiently discussed in the context of COVID-19. Design The study carried out a cross-sectional survey. The STROBE was selected as the checklist in this study. Methods 202 nurses from Wuhan makeshift hospital participated in the questionnaire survey. Data collection tools included a general data questionnaire designed by the researchers, Chinese version of EI scale (WLEIS-C) and Chinese version of Depression Anxiety Stress Scale (DASS-21). Descriptive statistics, single factor analysis and correlation analysis were used to analyse the data. Results The emotional intelligence of the front-line nurses was in the upper middle range. Among the negative emotions, anxiety was the most prominent symptom. Conclusions Managers should pay attention to the negative emotional problems of front-line nurses, improve their EI level and promote mental health and the progress of epidemic prevention. Relevance to clinical practice Improving the level of emotional intelligence can reduce the frequ…
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During COVID-19, more than a quarter of nurses had anxiety, depression, or stress.
“the prevalence of anxiety, depression, and stress among nurses during COVID-19 exceeded 25%”
From Mental fatigue and negative emotion among nurses during the COVID-19 pandemic (2022) · cites this paper as Sun et al., 2021
Cites
Salovey, P., & Mayer, J. D. (1990) · Imagination, Cognition and Personality · doi:10.2190/dugg-p24e-52wk-6cdg · Cited by 10,484 · see citing works
Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., Ho, C. S., & Ho, R. C. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17051729 · Cited by 9,923 · see citing works
Lai, J., Ma, S., Wang, Y., Cai, Z., Hu, J., Wei, N., Wu, J., Du, H., Chen, T., Li, R., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.3976 · Cited by 8,015 · see citing works
Self-citationAntony, M. M., Bieling, P. J., Cox, B. J., Enns, M. W., & Swinson, R. P. (1998) · Psychological Assessment · doi:10.1037/1040-3590.10.2.176 · Cited by 4,874 · see citing works
Zhang, W.-R., Wang, K., Yin, L., Zhao, W.-F., Xue, Q., Peng, M., Min, B.-Q., Tian, Q., Leng, H.-X., Du, J.-L., et al. (2020) · Psychotherapy and Psychosomatics · doi:10.1159/000507639 · Cited by 1,690 · see citing works
Stress and psychological distress among SARS survivors 1 year after the outbreak
Lee, A. M., Wong, J. G., McAlonan, G. M., Cheung, V., Cheung, C., Sham, P. C., Chu, C.-M., Wong, P.-C., Tsang, K. W., & Chua, S. E. (2007) · The Canadian Journal of Psychiatry · doi:10.1177/070674370705200405 · Cited by 1,195 · see citing works
Depression Anxiety and Stress Scales (DASS-21): Psychometric analysis across four racial groups
Norton, P. J. (2007) · Anxiety, Stress, & Coping · doi:10.1080/10615800701309279 · Cited by 708 · see citing works
The psychological impact of the COVID-19 outbreak on health professionals: A cross-sectional study
Giusti, E. M., Pedroli, E., D'Aniello, G. E., Stramba Badiale, C., Pietrabissa, G., Manna, C., Stramba Badiale, M., Riva, G., Castelnuovo, G., & Molinari, E. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01684 · Cited by 533 · see citing works
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Mental fatigue and negative emotion among nurses during the COVID-19 pandemic
Wang, D., Xie, X., Tian, H., Wu, T., Liu, C., Huang, K., Gong, R., Yu, Y., Luo, T., Jiao, R., et al. (2022) · Current Psychology · doi:10.1007/s12144-022-03468-2 · Cited by 33 · see citing works
- Authors
- Sun, H., Wang, S., Wang, W., Han, G., Liu, Z., Wu, Q., & Pang, X.
- Affiliations
- Tianjin University of Traditional Chinese Medicine (CN)
- The Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine Tianjin China
- Corresponding author
- Pang, Xiaoli
- Venue
- Journal of Clinical Nursing
- Publisher
- Wiley
- Published
- 2021-01-21
- Volume
- 30
- Issue
- 3-4
- Pages
- 385-396
- ISSN
- 0962-1067 (ISSN-L)
- 1365-2702
- OpenAlex
- W3094645683
- Cited by
- 79
- References
- 8
- Citations by year
- 2026: 3 · 2025: 11 · 2024: 12 · 2023: 22 · 2022: 16 · 2021: 15
- FWCI
- 14.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Clinical Nursing (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Emotional Intelligence and Performance
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Health Sciences › Health Professions › Occupational Therapy › Occupational Health and Burnout
- Keywords
- emotional intelligence, negative emotions, frontline nurses, COVID-19 epidemic, anxiety, depression, stress, nurse mental health, emotional intelligence training
- MeSH terms
- COVID-19, Adult, Burnout, Professional, Cross-Sectional Studies, Emotions, Female, Humans, Male, Mental Health, Middle Aged, Nursing Staff, Hospital, Surveys and Questionnaires, Emotional Intelligence, Checklist
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