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Psychosocial Impact and Role of Resilience on Healthcare Workers during COVID-19 Pandemic

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  • Marinella Coco

    (Department of Biomedical and Biotechnological Sciences, University of Catania, 95121 Catania, Italy
    Research Center on Motor Activities (CRAM), University of Catania, 95121 Catania, Italy)

  • Claudia Savia Guerrera

    (Department of Biomedical and Biotechnological Sciences, University of Catania, 95121 Catania, Italy)

  • Giuseppe Santisi

    (Department of Educational Sciences, University of Catania, 95121 Catania, Italy)

  • Febronia Riggio

    (Department of Educational Sciences, University of Catania, 95121 Catania, Italy)

  • Roberta Grasso

    (Department of Educational Sciences, University of Catania, 95121 Catania, Italy)

  • Donatella Di Corrado

    (Department of Human and Social Sciences, Kore University of Enna, 94100 Enna, Italy)

  • Santo Di Nuovo

    (Department of Educational Sciences, University of Catania, 95121 Catania, Italy)

  • Tiziana Ramaci

    (Department of Human and Social Sciences, Kore University of Enna, 94100 Enna, Italy)

Abstract

Italy was the first European country to be affected by the 2019 coronavirus epidemic (COVID-19). Several studies have shown the risk of developing depression, anxiety, and post-traumatic stress disorder in medical and paramedical staff. Causes included the high contagiousness of the virus, the fear of contracting it, the lack of adequate personal protective equipment, and physical and psychological fatigue. In this context, resilience represents a protective factor against adversity and stress burden. The aim of this research was to investigate if and how the resilience and personality profile is able to influence the response to stress and anxiety on a sample of Italian healthcare workers, during the COVID-19 outbreak. The sample consisted of 152 frontline healthcare workers, physicians, and paramedical professionals. Participants completed the online questionnaire measuring the Resilience Scale for Adults, the Big Five Inventory-10 Item, the State Anxiety Inventory, and the Perceived Stress Scale. Analyses of data aimed to show differences in the stress of healthcare workers due to gender and professional role, and at finding, by means of multidimensional scaling, the relations among anxiety, stress, resilience, and traits of personality. The findings gave some suggestions for implementing strategies useful to increase the resilience in healthcare workers and support them to cope with stressful events, typical of the pandemic emergency.

Suggested Citation

  • Marinella Coco & Claudia Savia Guerrera & Giuseppe Santisi & Febronia Riggio & Roberta Grasso & Donatella Di Corrado & Santo Di Nuovo & Tiziana Ramaci, 2021. "Psychosocial Impact and Role of Resilience on Healthcare Workers during COVID-19 Pandemic," Sustainability, MDPI, vol. 13(13), pages 1-9, June.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7096-:d:581403
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    References listed on IDEAS

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    1. Monia Vagni & Valeria Giostra & Tiziana Maiorano & Giuliano Santaniello & Daniela Pajardi, 2020. "Personal Accomplishment and Hardiness in Reducing Emergency Stress and Burnout among COVID-19 Emergency Workers," Sustainability, MDPI, vol. 12(21), pages 1-18, October.
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    5. Tiziana Ramaci & Massimiliano Barattucci & Caterina Ledda & Venerando Rapisarda, 2020. "Social Stigma during COVID-19 and its Impact on HCWs Outcomes," Sustainability, MDPI, vol. 12(9), pages 1-13, May.
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    Cited by:

    1. M Chitra & S Pradeepan, 2022. "Trail and Challenges of Paramedical Staffs' in Pandemic Period: A Recall," Shanlax International Journal of Economics, Shanlax Journals, vol. 11(1), pages 1-7, December.
    2. Giuseppe Alessio Platania & Simone Varrasi & Claudia Savia Guerrera & Francesco Maria Boccaccio & Vittoria Torre & Venera Francesca Vezzosi & Concetta Pirrone & Sabrina Castellano, 2024. "Impact of Stress during COVID-19 Pandemic in Italy: A Study on Dispositional and Behavioral Dimensions for Supporting Evidence-Based Targeted Strategies," IJERPH, MDPI, vol. 21(3), pages 1-15, March.
    3. Hongyi Mao & Tao Zhang & Qing Tang, 2021. "Research Framework for Determining How Artificial Intelligence Enables Information Technology Service Management for Business Model Resilience," Sustainability, MDPI, vol. 13(20), pages 1-14, October.

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