Aims And Objectives: To explore the regulation role of work resources in male nurses' job burnout and job demands.
Background: Burnout syndrome affects a wide range of nurses. Although burnout and turnover rate have drawn many researchers' attention, little is known of work characteristics that may cause a high burnout and turnover rate in male nurses.
Design: A survey design was used.
Method: A total of 366 male nurses in Guangzhou hospitals were included in this survey using the Burnout Scale (MBI-GS) and the Job demands Resources Scale. Data were processed by hierarchical regression analysis. (Followed the STROBE checklist) RESULTS: The male nurse's MBI score was (2.72 ± 1.02). Job demands affected the severity of male nurses' job burnout. Work resources are in a low level, especially at the social support, reward and skill diversity. The regression coefficients β of job demands, work resources and interaction items of job demands and work resources were 0.277, 0.314 and -0.006, respectively, and both passed the significance test (p < .01).). The new explanatory quantity ΔR after introducing the interaction between job demands and working resources was also statistically significant (ΔR = 0.254, p < .01).
Conclusion: Male nurses are at a mild level of job burnout, and work resources are in shortage. Work resources play a regulating role in job demands and burnout.
Relevance To Clinical Practice: The mild burnout may be a surface phenomenon or was a sign of trend of male nurses' intention to leave the job. Managers should pay attention to the emotional needs and mental health problems of male nurses' work environment.
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http://dx.doi.org/10.1111/jocn.15103 | DOI Listing |
Sci Rep
December 2024
Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1205, Bangladesh.
Prediction and discovery of new materials with desired properties are at the forefront of quantum science and technology research. A major bottleneck in this field is the computational resources and time complexity related to finding new materials from ab initio calculations. In this work, an effective and robust deep learning-based model is proposed by incorporating persistent homology with graph neural network which offers an accuracy of and an F1 score of in classifying topological versus non-topological materials, outperforming the other state-of-the-art classifier models.
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December 2024
State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University & Shenzhen University, Chengdu, P.R. China.
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December 2024
State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Sand and dust storms (SDS) can cause adverse health effects, with the oxidative potential (OP) and environmentally persistent free radicals (EPFRs) inducing oxidative stress. We mapped the OP and EPFRs concentrations at 1735 sites in China during SDS periods using experimental data for 2021-2023 and a random forest model. We examined 855,869 hospitalizations during SDS events for 2015-2022 in Beijing, China.
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December 2024
Beijing Frontier Research Center for Biological Structure, State Key Laboratory of Membrane Biology, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
Exceptionally diverse type V CRISPR-Cas systems provide numerous RNA-guided nucleases as powerful tools for DNA manipulation. Two known Cas12e nucleases, DpbCas12e and PlmCas12e, are both effective in genome editing. However, many differences exist in their in vitro dsDNA cleavage activities, reflecting the diversity in Cas12e's enzymatic properties.
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December 2024
Institute of Wetland Agriculture and Ecology, Shandong Academy of Agricultural Sciences, Jinan, China.
Heading date of rice (Oryza sativa) is a key factor determining rice production and regional adaptability. We analysed the molecular mechanism of OsPIL15, encoding phytochrome-interacting factor-like protein, in delaying rice heading date. Overexpression of OsPIL15 delayed rice heading date by upregulating Hd1 and inhibiting Hd3a and RFT1 expression.
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