Evidence map›Paper›PMID 36703822›Full record

ArticleFrontiers in public health2022

Stress load of Chinese nurses in Fangcang Shelter Hospitals during the COVID-19 pandemic: A latent profile analysis.

Liyan Gu, Jian Chang, Ji Wang, Ping Feng, Hao Xu

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Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Liyan GuDepartment of Neurology, 905th Hospital of the PLA Navy, Shanghai, China.
Jian ChangNursing Department, Shanghai General Hospital, School of Nursing, Shanghai Jiao Tong University, Shanghai, China.
Ji WangNursing Department, 905th Hospital of the PLA Navy, Shanghai, China.
Ping FengNursing Department, Changhai Hospital, Naval Medical University, Shanghai, China.
Hao XuDepartment of Infectious Diseases, Changhai Hospital, Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19East Asian PeopleHospitalsNursesStress, PsychologicalChinaFemaleFollicle Stimulating HormoneHospitals, SpecialHumansMobile Health UnitsOccupational StressPandemicsSARS-CoV-2Working ConditionsWorkloadFollicle Stimulating HormoneCOVID-19Fangcang Shelter Hospitallatent profile analysisstress loadwork-related stressors

Identifiers

PMID36703822
PMCPMC9873243

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.