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Yuanyuan Mo

Institute of Urban Environment

ORCID: 0000-0001-7031-0870

Publishes on COVID-19 and Mental Health, Coastal wetland ecosystem dynamics, Healthcare professionals’ stress and burnout. 35 papers and 1.7k citations.

35Publications
1.7kTotal Citations

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Top publicationsby citations

Work stress among Chinese nurses to support Wuhan in fighting against COVID‐19 epidemic
Yuanyuan Mo, Lan Deng, Liyan Zhang et al.|Journal of Nursing Management|2020
Cited by 1.1kOpen Access

AIMS: To investigate the work stress among Chinese nurses who are supporting Wuhan in fighting against Coronavirus Disease 2019 (COVID-19) infection and to explore the relevant influencing factors. BACKGROUND: The COVID-19 epidemic has posed a major threat to public health. Nurses have always played an important role in infection prevention, infection control, isolation, containment and public health. However, available data on the work stress among these nurses are limited. METHODS: A cross-sectional survey. An online questionnaire was completed by 180 anti-epidemic nurses from Guangxi. Data collection tools, including the Chinese version of the Stress Overload Scale (SOS) and the Self-rating Anxiety Scale (SAS), were used. Descriptive single factor correlation and multiple regression analyses were used in exploring the related influencing factors. RESULTS: The SOS (39.91 ± 12.92) and SAS (32.19 ± 7.56) scores of this nurse group were positively correlated (r = 0.676, p < .05). Multiple regression analysis showed that only children, working hours per week and anxiety were the main factors affecting nurse stress (p = .000, .048, .000, respectively). CONCLUSIONS: Nurses who fight against COVID-19 were generally under pressure. IMPLICATIONS FOR NURSING MANAGEMENT: Nurse leaders should pay attention to the work stress and the influencing factors of the nurses who are fighting against COVID-19 infection, and offer solutions to retain mental health among these nurses.

Anxiety of Nurses to support Wuhan in fighting against COVID‐19 Epidemic and its Correlation With Work Stress and Self‐efficacy
Yuanyuan Mo, Lan Deng, Liyan Zhang et al.|Journal of Clinical Nursing|2020
Cited by 75

AIMS AND OBJECTIVES: We aimed to investigate the anxiety of nurses who are supporting Wuhan in fighting against coronavirus disease 2019 (COVID-19) infection and explore relevant influencing factors. BACKGROUND: The COVID-19 outbreak poses a major threat to public health worldwide. Nurses play an important role in this epidemic. However, available data on the mental health among these nurses are limited. DESIGN: A descriptive, cross-sectional survey was performed. METHODS: An online questionnaire was completed by 200 nurses who went to Wuhan to help to fight against COVID-19 from another province. Data collection tools include the Chinese version of the Stress Overload Scale (SOS), the Self-Rating Anxiety Scale (SAS) and General Self-Efficacy Scale (GSES). Descriptive, single-factor correlation and multiple regression analyses were used in exploring related influencing factors. Reporting followed the STROBE guidelines. RESULTS: The scores of SAS, SOS and GSES range from 20 to 80, 22 to 110 and 10 to 40, respectively, and the SAS (31.79 ± 7.32) and SOS (40.19 ± 12.92) and GSES scores (24.83 ± 6.60) were obtained. Anxiety was positively correlated with stress (r = .679, p < .001) but negatively correlated with self-efficacy (r = -.326, p < .001). Multiple regression analysis showed that professional qualification, sleep, stress and self-efficacy were the main factors affecting nurse anxiety (p = .006, <.001, <.001, .039, respectively). CONCLUSIONS: Nurses who are supporting Wuhan in fighting against COVID-19 were under a low level of anxiety. RELEVANCE TO CLINICAL PRACTICE: The current study suggests work stress reduction might be a key factor in reducing anxiety and maintaining mental health to support nurses who are fighting against COVID-19 infection.

Melatonin Inhibits Reactive Oxygen Species‐Driven Proliferation, Epithelial‐Mesenchymal Transition, and Vasculogenic Mimicry in Oral Cancer
Rui Liu, Hui-li Wang, Manjing Deng et al.|Oxidative Medicine and Cellular Longevity|2018
Cited by 62Open Access

Globally, oral cancer is the most common type of head and neck cancers. Melatonin elicits inhibitory effects on oral cancer; however, the biological function of melatonin and underlying mechanisms remain largely unknown. In this study, we found that melatonin impaired the proliferation and apoptosis resistance of oral cancer cells by inactivating ROS‐dependent Akt signaling, involving in downregulation of cyclin D1, PCNA, and Bcl‐2 and upregulation of Bax. Melatonin inhibited the migration and invasion of oral cancer cells by repressing ROS‐activated Akt signaling, implicating with the reduction of Snail and Vimentin and the enhancement of E‐cadherin. Moreover, melatonin hampered vasculogenic mimicry of oral cancer cells through blockage of ROS‐activated extracellular‐regulated protein kinases (ERKs) and Akt pathways involving the hypoxia‐inducible factor 1 α . Consistently, melatonin retarded tumorigenesis of oral cancer in vivo . Overall, these findings indicated that melatonin exerts antisurvival, antimotility, and antiangiogenesis effects on oral cancer partly by suppressing ROS‐reliant Akt or ERK signaling.

Post-Traumatic Growth of Nurses Who Faced the COVID-19 Epidemic and Its Correlation With Professional Self-Identity and Social Support
Yuanyuan Mo, Pinyue Tao, Guiying Liu et al.|Frontiers in Psychiatry|2022
Cited by 54Open Access

Objective: To investigate post-traumatic growth (PTG) and analyze its correlation with professional self-identity and social support in Chinese nurses who faced the coronavirus disease 2019 (COVID-19) epidemic. Methods: A cross-sectional descriptive design was used in this study. An online questionnaire was completed by 266 nurses who faced the COVID-19 emergency in Hubei Province, China. The Post-traumatic Growth Inventory (PTGI), Professional Self-identity Scale, and Perceived Social Support Scale were used to assess the level of PTG, professional self-identity, and social support. Descriptive, univariate analysis and multiple regression analyses were used in exploring related influencing factors. Results: Participants' mean scores were 96.26 (SD = 21.57) for PTG, 115.30 (SD = 20.82) for professional self-identification, and 66.27 (SD = 12.90) for social support. Multiple regression analysis showed that nurses from other provinces moving to support Hubei Province, professional self-identity, and social support were the main factors affecting nurse stress ( p = 0.014, &amp;lt; 0.001, and 0.017, respectively). Professional self-identity and social support were positively correlated with PTG ( r = 0.720 and 0.620, respectively). Conclusions: There was a phenomenon of PTG when the nurses faced COVID-19 in Hubei Province. Providing an active coping style helps to improve the level of PTG.