IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i22p14854-d970024.html
   My bibliography  Save this article

The Association between Resilience and Psychological Distress during the COVID-19 Pandemic: A Systematic Review and Meta-Analysis

Author

Listed:
  • Thanakrit Jeamjitvibool

    (Faculty of Nursing, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok 10210, Thailand
    College of Nursing, University of Illinois at Chicago, Chicago, IL 60612, USA)

  • Cherdsak Duangchan

    (Faculty of Nursing, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok 10210, Thailand
    College of Nursing, University of Illinois at Chicago, Chicago, IL 60612, USA)

  • Andria Mousa

    (Department of Infection Biology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK)

  • Wiriya Mahikul

    (Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok 10210, Thailand)

Abstract

This study examined the association between resilience and psychological distress in healthcare workers, the general population, and patients during the COVID-19 pandemic. We searched the PubMed, Web of Science, PsycInfo, Science Direct, and Nursing and Allied Health databases. Included articles examined healthcare workers (e.g., physicians and nurses), the general population, and patients during the COVID-19 pandemic. Studies of exposure to other infectious diseases related to epidemics or pandemics (e.g., SARS and MERS) were excluded. This study was performed following the Cooper matrix review method and PRISMA guidelines, followed by a meta-analysis of study results using R version 4.1.2. A random effect model was used for the pooled analysis. This study was registered with PROSPERO (registration No. CRD42021261429). Based on the meta-analysis, we found a moderate negative relationship between overall resilience and psychological distress (r = −0.42, 95% confidence interval [CI]: −0.45 to −0.38, p < 0.001). For the subgroup analysis, a moderately significant negative relationship between overall resilience and psychological distress was found among healthcare workers (r = −0.39, 95% CI: −0.44 to −0.33, p < 0.001), which was weaker than in the general population (r = −0.45, 95% CI: −0.50 to −0.39, p < 0.001) and in patients (r = −0.43; 95% CI: −0.52 to −0.33; p < 0.001). This association was robust, although the heterogeneity among individual effect sizes was substantial (I 2 = 94%, 99%, and 74%, respectively). This study revealed a moderate negative relationship between resilience and psychological distress in healthcare workers, the general population, and patients. For all these populations, interventions and resources are needed to improve individuals’ resilience and ability to cope with psychological distress during the COVID-19 pandemic and in future disease outbreaks.

Suggested Citation

  • Thanakrit Jeamjitvibool & Cherdsak Duangchan & Andria Mousa & Wiriya Mahikul, 2022. "The Association between Resilience and Psychological Distress during the COVID-19 Pandemic: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:14854-:d:970024
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/22/14854/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/22/14854/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    2. Jin, Liangyi & Hao, Zejun & Huang, Jinzi & Akram, Hafiza Rabia & Saeed, Muhammad Farhan & Ma, Haibo, 2021. "Depression and anxiety symptoms are associated with problematic smartphone use under the COVID-19 epidemic: The mediation models," Children and Youth Services Review, Elsevier, vol. 121(C).
    3. Kimhi, Shaul & Marciano, Hadas & Eshel, Yohanan & Adini, Bruria, 2020. "Resilience and demographic characteristics predicting distress during the COVID-19 crisis," Social Science & Medicine, Elsevier, vol. 265(C).
    4. Gabriele Giorgi & Luigi Isaia Lecca & Federico Alessio & Georgia Libera Finstad & Giorgia Bondanini & Lucrezia Ginevra Lulli & Giulio Arcangeli & Nicola Mucci, 2020. "COVID-19-Related Mental Health Effects in the Workplace: A Narrative Review," IJERPH, MDPI, vol. 17(21), pages 1-22, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Teodora Safiye & Medo Gutić & Jakša Dubljanin & Tamara M. Stojanović & Draško Dubljanin & Andreja Kovačević & Milena Zlatanović & Denis H. Demirović & Nemanja Nenezić & Ardea Milidrag, 2023. "Mentalizing, Resilience, and Mental Health Status among Healthcare Workers during the COVID-19 Pandemic: A Cross-Sectional Study," IJERPH, MDPI, vol. 20(8), pages 1-14, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Whitney S Beck & Ed K Hall, 2018. "Confounding factors in algal phosphorus limitation experiments," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    2. Tianyi Qiu & Yu Shi & Josep Peñuelas & Ji Liu & Qingliang Cui & Jordi Sardans & Feng Zhou & Longlong Xia & Weiming Yan & Shuling Zhao & Shushi Peng & Jinshi Jian & Qinsi He & Wenju Zhang & Min Huang &, 2024. "Optimizing cover crop practices as a sustainable solution for global agroecosystem services," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    3. J. Pierre Zila-Velasque & Pamela Grados-Espinoza & Naomi Coba-Villan & Jocelyn Quispe-Chamorro & Yesenia F. Taipe-Guillén & Estefany Pacheco & Laura Ccasa-Valero & Virgilio E. Failoc-Rojas & Cristian , 2022. "Mental Disorders and Level of Resilience in Eight High-Altitude Cities of Peru during the Second Pandemic Wave: A Multicenter Population-Based Study," IJERPH, MDPI, vol. 20(1), pages 1-19, December.
    4. Xindong Xue & W. Robert Reed & Robbie C.M. van Aert, 2022. "Social Capital and Economic Growth: A Meta-Analysis," Working Papers in Economics 22/20, University of Canterbury, Department of Economics and Finance.
    5. Bart Verkuil & Serpil Atasayi & Marc L Molendijk, 2015. "Workplace Bullying and Mental Health: A Meta-Analysis on Cross-Sectional and Longitudinal Data," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    6. Francesca Pilotto & Ingolf Kühn & Rita Adrian & Renate Alber & Audrey Alignier & Christopher Andrews & Jaana Bäck & Luc Barbaro & Deborah Beaumont & Natalie Beenaerts & Sue Benham & David S. Boukal & , 2020. "Meta-analysis of multidecadal biodiversity trends in Europe," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    7. repec:cup:judgdm:v:15:y:2020:i:6:p:972-988 is not listed on IDEAS
    8. Jonas Schmidt & Tammo H. A. Bijmolt, 2020. "Accurately measuring willingness to pay for consumer goods: a meta-analysis of the hypothetical bias," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 499-518, May.
    9. Mario Herberz & Tobias Brosch & Ulf J. J. Hahnel, 2020. "Kilo what? Default units increase value sensitivity in joint evaluations of energy efficiency," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(6), pages 972-988, November.
    10. Ullah, Faiz & Harrigan, Nicholas M., 2022. "A natural experiment in social security as public health measure: Experiences of international students as temporary migrant workers during two Covid-19 lockdowns," Social Science & Medicine, Elsevier, vol. 313(C).
    11. Piers Steel & Sjoerd Beugelsdijk & Herman Aguinis, 2021. "The anatomy of an award-winning meta-analysis: Recommendations for authors, reviewers, and readers of meta-analytic reviews," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(1), pages 23-44, February.
    12. Michał Błaszczyk & Milan Popović & Karolina Zajdel & Radosław Zajdel, 2022. "The Impact of the COVID-19 Pandemic on the Organisation of Remote Work in IT Companies," Sustainability, MDPI, vol. 14(20), pages 1-14, October.
    13. Molo, Fabio & Pawel, Samuel & Fraga González, Gorka, 2024. "A Robustness Reproduction of "A Systematic Review and Meta-Analysis of 90 Cohort Studies of Social Isolation, Loneliness and Mortality"," I4R Discussion Paper Series 169, The Institute for Replication (I4R).
    14. Augusteijn, Hilde Elisabeth Maria & van Aert, Robbie Cornelis Maria & van Assen, Marcel A. L. M., 2021. "Posterior Probabilities of Effect Sizes and Heterogeneity in Meta-Analysis: An Intuitive Approach of Dealing with Publication Bias," OSF Preprints avkgj, Center for Open Science.
    15. Francesco Pace & Giulia Sciotto & Naomi Alexia Randazzo & Vincenza Macaluso, 2022. "Teachers’ Work-Related Well-Being in Times of COVID-19: The Effects of Technostress and Online Teaching," Social Sciences, MDPI, vol. 11(10), pages 1-10, October.
    16. Georgiou, George K. & Guo, Kan & Naveenkumar, Nithya & Vieira, Ana Paula Alves & Das, J.P., 2020. "PASS theory of intelligence and academic achievement: A meta-analytic review," Intelligence, Elsevier, vol. 79(C).
    17. Clément Cormi & Stéphane Sanchez & Valentine de l’Estoile & Laura Ollivier & Aude Letty & Gilles Berrut & Emmanuel Mulin, 2021. "Telepsychiatry to Provide Mental Health Support to Healthcare Professionals during the COVID-19 Crisis: A Cross-Sectional Survey among 321 Healthcare Professionals in France," IJERPH, MDPI, vol. 18(19), pages 1-14, September.
    18. Mata, Jutta & Wenz, Alexander & Rettig, Tobias & Reifenscheid, Maximiliane & Möhring, Katja & Krieger, Ulrich & Friedel, Sabine & Fikel, Marina & Cornesse, Carina & Blom, Annelies G. & Naumann, Elias, 2021. "Health behaviors and mental health during the COVID-19 pandemic: A longitudinal population-based survey in Germany," Social Science & Medicine, Elsevier, vol. 287(C).
    19. Geller, Susann & Wilhelm, Oliver & Wacker, Jan & Hamm, Alfons & Hildebrandt, Andrea, 2017. "Associations of the COMT Val158Met polymorphism with working memory and intelligence – A review and meta-analysis," Intelligence, Elsevier, vol. 65(C), pages 75-92.
    20. Gignac, Gilles E. & Bates, Timothy C., 2017. "Brain volume and intelligence: The moderating role of intelligence measurement quality," Intelligence, Elsevier, vol. 64(C), pages 18-29.
    21. Alexander Frank Pasquel Cajas & Verónica Tomasa Cajas Bravo & Roberto Carlos Dávila Morán, 2023. "Remote Work in Peru during the COVID-19 Pandemic," Administrative Sciences, MDPI, vol. 13(2), pages 1-25, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:14854-:d:970024. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.