Stress load of Chinese nurses in Fangcang Shelter Hospitals during the Covid-19 pandemic
A latent profile analysis
Bibliographic Data
| ID | 22088130 |
|---|---|
| Authors | Liyan Gu (0000-0002-9955-3937, PLA Navy General Hospital), Jian Chang (0000-0001-8481-4586, Shanghai Jiao Tong University, corresponding author), Ji Wang (0000-0002-3447-9107, PLA Navy General Hospital, corresponding author), Ping Feng (0000-0002-3723-5781, Second Military Medical University), Hao Xu (0000-0002-6507-4436, Second Military Medical University) |
| Year | 2023 |
| Volume | 10 |
| Pages | 1048358-1048358 |
| Publication date | 2023-01-10 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2022.1048358 |
| PMID | 36703822 |
| OpenAlex | W4315474372 |
| Language | EN |
| References cited | 55 |
The Omicron wave of the COVID-19 pandemic significantly affected Shanghai, China, from March to June 2022. Numbers of Fangcang Shelter Hospitals (FSHs) were conversed from stadiums and exhibition centers to tackle the pandemic. This study aimed to identify the stress load profiles of nurses working in FSHs and explore the characteristics and factors influencing stress load profiles. Totally, 609 out of 700 FSH nurses (with an effective response rate of 87%) participated in an online survey investigating their socio-demographic information, work-related stressors, and stress load. Results of the latent profile analysis identified four classes of stress load, which were labeled as the low (Class 1), mild (Class 2), moderate (Class 3), and high (Class 4) stress load class. Maternity status and self-perceived health condition were significantly different between the four stress load classes by comparisons using the Chi-square test and the Kruskal–Wallis test. The contributors to the stress load profiles were determined by the multinomial logistic regression analysis, including age, education, maternity status, self-perceived health condition, working time in FSHs, and the four dimensions of work-related stressors. Participants who were less healthy (OR = 0.045, 95% CI:0.012,0.171), worked longer time in FSHs (OR = 40.483, 95% CI: 12.103,135.410), faced with more workload (OR = 3.664, 95% CI: 1.047,12.815), and worse working environment (OR = 12.274, 95% CI: 3.029,49.729) were more likely to be classified to the high stress load class. The task arrangement and working environment for FSH nurses should be optimized, and psychological training should be conducted routinely
Latent class model · Logistic regression · Multinomial logistic regression · Pandemic · Stressor · Workload · Clinical Psychology · Computer Science · COVID-19 and Mental Health · Demography · Healthcare professionals’ stress and burnout · Medicine · Psychology · Workplace Health and Well-being · Gerontology · Internal Medicine
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| Citation velocity | historical |
|---|---|
| Highly cited | No |