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COVID-19: Immediate Predictors of Individual Resilience

Author

Listed:
  • Regardt J. Ferreira

    (Tulane School of Social Work, Tulane University, New Orleans, LA 70112, USA
    Department of Social Work, University of the Free State, Bloemfontein 9301, South Africa)

  • Fred Buttell

    (Tulane School of Social Work, Tulane University, New Orleans, LA 70112, USA
    Department of Social Work, University of the Free State, Bloemfontein 9301, South Africa)

  • Clare Cannon

    (Department of Social Work, University of the Free State, Bloemfontein 9301, South Africa
    Department of Human Ecology, University of California, Davis, CA 95616, USA)

Abstract

COVID-19 is a pandemic event not seen in a century. This research aims to determine important predictors of resilience towards the COVID 19/Coronavirus Pandemic. This study uses a cross-sectional design, with purposive snowball sampling, for primary survey data collected over 10 weeks starting the first week in April 2020. Participants completed a self-administered questionnaire on demographics and behavioral factors. Resilience was assessed using the 10-item Connor-Davidson Resilience Scale and perceived stress was assessed using the 10-item Perceived Stress Scale. 374 adults participated in the survey. OLS regression was performed to determine key associations among demographic variables, resilience measures, and perceived stress brought on by COVID-19. Age and education were statistically significantly positively associated with resilience, while English as a second language was significantly negatively associated. Participants who reported needing help from family and neighbors, total number of days in lockdown, and higher perceived stress were all significantly negatively associated with resilience. This study adds to immediate predictors of individual resilience to the ongoing infectious disease catastrophe created by the COVID-19 pandemic.

Suggested Citation

  • Regardt J. Ferreira & Fred Buttell & Clare Cannon, 2020. "COVID-19: Immediate Predictors of Individual Resilience," Sustainability, MDPI, vol. 12(16), pages 1-11, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6495-:d:397791
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    References listed on IDEAS

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    Cited by:

    1. Misato Uehara & Makoto Fujii & Kazuki Kobayashi, 2021. "A Model of Stress Change under the First COVID-19 Pandemic among the General Public in Japanese Major Cities and Rural Areas," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    2. Missiliana Riasnugrahani & Tery Setiawan & Edwin Jong & Bagus Takwin, 2024. "A dual pathway for understanding the relation between wellbeing and resilience," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    3. Francisco Manuel Morales-Rodríguez, 2021. "Fear, Stress, Resilience and Coping Strategies during COVID-19 in Spanish University Students," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    4. Sejin Ha & Michelle Childs & Christopher T. Sneed & Ann Berry, 2021. "Consumer Sustainable Shopping Practices for Small Business during COVID-19," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    5. Misato Uehara & Makoto Fujii & Kazuki Kobayashi & Yasuto Hayashi & Yuki Arai, 2021. "Common Factors of Stress Change under the First COVID-19 Outbreak as Observed in Four Global Cities," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    6. Bechir Mokline & Mohamed Anis Ben Abdallah, 2022. "The Mechanisms of Collective Resilience in a Crisis Context: The Case of The ‘COVID-19’ Crisis," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(1), pages 151-163, March.

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