IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v280y2021ics0277953621003609.html
   My bibliography  Save this article

Dynamic relationships between different types of conspiracy theories about COVID-19 and protective behaviour: A four-wave panel study in Poland

Author

Listed:
  • Oleksy, Tomasz
  • Wnuk, Anna
  • Gambin, Małgorzata
  • Łyś, Agnieszka

Abstract

Conspiracy theories about COVID-19 pose a serious threat to public health by providing false information and undermining official health recommendations. However, existing studies rarely employed longitudinal designs, precluding the determination of the directionality between endorsement of conspiracy theories and its societal consequences. Also, relatively little research examined whether the association between protective health behaviour and the endorsement of conspiracy theories is affected by the content of a given theory.

Suggested Citation

  • Oleksy, Tomasz & Wnuk, Anna & Gambin, Małgorzata & Łyś, Agnieszka, 2021. "Dynamic relationships between different types of conspiracy theories about COVID-19 and protective behaviour: A four-wave panel study in Poland," Social Science & Medicine, Elsevier, vol. 280(C).
    • Handle: RePEc:eee:socmed:v:280:y:2021:i:c:s0277953621003609
    DOI: 10.1016/j.socscimed.2021.114028
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953621003609
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2021.114028?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Romer, Daniel & Jamieson, Kathleen Hall, 2020. "Conspiracy theories as barriers to controlling the spread of COVID-19 in the U.S," Social Science & Medicine, Elsevier, vol. 263(C).
    2. Latkin, Carl A. & Dayton, Lauren & Yi, Grace & Konstantopoulos, Arianna & Boodram, Basmattee, 2021. "Trust in a COVID-19 vaccine in the U.S.: A social-ecological perspective," Social Science & Medicine, Elsevier, vol. 270(C).
    3. Valerio Capraro & Hélène Barcelo, 2020. "The effect of messaging and gender on intentions to wear a face covering to slow down COVID-19 transmission," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S2), pages 45-55, December.
    4. Ted Schwaba & Wiebke Bleidorn & Brent Donnellan, 2021. "Log on and Prosper? Little Evidence for Codevelopment Between Psychological Adjustment and Technology Use in Older Adulthood [A continuity theory of normal aging]," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 76(1), pages 67-77.
    5. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    6. Koon, Adam D. & Mendenhall, Emily & Eich, Lori & Adams, Abby & Borus, Zach A., 2021. "A spectrum of (Dis)Belief: Coronavirus frames in a rural midwestern town in the United States," Social Science & Medicine, Elsevier, vol. 272(C).
    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. Coelho, Priscila & Foster, Katrina & Nedri, Meriam & Marques, Mathew D., 2022. "Increased belief in vaccination conspiracy theories predicts increases in vaccination hesitancy and powerlessness: Results from a longitudinal study," Social Science & Medicine, Elsevier, vol. 315(C).

    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. Sou Hyun Jang, 2022. "Social-ecological factors related to preventive behaviors during the COVID-19 pandemic in South Korea," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-14, March.
    2. Amelia Blamey & Ilan Noy, 2024. "Mistrust and Missed Shots: Trust and Covid-19 Vaccination Decisions," CESifo Working Paper Series 11134, CESifo.
    3. Lin, Tian & Harris, Elizabeth A. & Heemskerk, Amber & Van Bavel, Jay J. & Ebner, Natalie C., 2021. "A multi-national test on self-reported compliance with COVID-19 public health measures: The role of individual age and gender demographics and countries’ developmental status," Social Science & Medicine, Elsevier, vol. 286(C).
    4. Frisco, Michelle L. & Van Hook, Jennifer & Thomas, Kevin J.A., 2022. "Racial/ethnic and nativity disparities in U.S. Covid-19 vaccination hesitancy during vaccine rollout and factors that explain them," Social Science & Medicine, Elsevier, vol. 307(C).
    5. Van Oost, Pascaline & Yzerbyt, Vincent & Schmitz, Mathias & Vansteenkiste, Maarten & Luminet, Olivier & Morbée, Sofie & Van den Bergh, Omer & Waterschoot, Joachim & Klein, Olivier, 2022. "The relation between conspiracism, government trust, and COVID-19 vaccination intentions: The key role of motivation," Social Science & Medicine, Elsevier, vol. 301(C).
    6. Milošević Đorđević, J. & Mari, S. & Vdović, M. & Milošević, A., 2021. "Links between conspiracy beliefs, vaccine knowledge, and trust: Anti-vaccine behavior of Serbian adults," Social Science & Medicine, Elsevier, vol. 277(C).
    7. Nefes, Türkay Salim & Präg, Patrick & Romero-Reche, Alejandro & Pereira-Puga, Manuel, 2023. "Believing in conspiracy theories in Spain during the COVID-19 pandemic: Drivers and public health implications," Social Science & Medicine, Elsevier, vol. 336(C).
    8. Acar-Burkay, Sinem & Cristian, Daniela-Carmen, 2022. "Cognitive underpinnings of COVID-19 vaccine hesitancy," Social Science & Medicine, Elsevier, vol. 301(C).
    9. Seddig, Daniel & Maskileyson, Dina & Davidov, Eldad & Ajzen, Icek & Schmidt, Peter, 2022. "Correlates of COVID-19 vaccination intentions: Attitudes, institutional trust, fear, conspiracy beliefs, and vaccine skepticism," Social Science & Medicine, Elsevier, vol. 302(C).
    10. Sasaki, Shusaku & Saito, Tomoya & Ohtake, Fumio, 2022. "Nudges for COVID-19 voluntary vaccination: How to explain peer information?," Social Science & Medicine, Elsevier, vol. 292(C).
    11. Stoler, Justin & Klofstad, Casey A. & Enders, Adam M. & Uscinski, Joseph E., 2022. "Sociopolitical and psychological correlates of COVID-19 vaccine hesitancy in the United States during summer 2021," Social Science & Medicine, Elsevier, vol. 306(C).
    12. Md. Mominur Rahman & Bilkis Akhter, 2021. "The impact of investment in human capital on bank performance: evidence from Bangladesh," Future Business Journal, Springer, vol. 7(1), pages 1-13, December.
    13. Foliano, Francesca & Tonei, Valentina & Sevilla, Almudena, 2024. "Social restrictions, leisure and well-being," Labour Economics, Elsevier, vol. 87(C).
    14. César Merino-Soto & Gina Chávez-Ventura & Verónica López-Fernández & Guillermo M. Chans & Filiberto Toledano-Toledano, 2022. "Learning Self-Regulation Questionnaire (SRQ-L): Psychometric and Measurement Invariance Evidence in Peruvian Undergraduate Students," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    15. Nathaniel Oliver Iotti & Damiano Menin & Tomas Jungert, 2022. "Early Adolescents’ Motivations to Defend Victims of Cyberbullying," IJERPH, MDPI, vol. 19(14), pages 1-9, July.
    16. Christoph Dworschak, 2024. "Bias mitigation in empirical peace and conflict studies: A short primer on posttreatment variables," Journal of Peace Research, Peace Research Institute Oslo, vol. 61(3), pages 462-476, May.
    17. Andreea-Ionela Puiu & Anca Monica Ardeleanu & Camelia Cojocaru & Anca Bratu, 2021. "Exploring the Effect of Status Quo, Innovativeness, and Involvement Tendencies on Luxury Fashion Innovations: The Mediation Role of Status Consumption," Mathematics, MDPI, vol. 9(9), pages 1-18, May.
    18. Slupphaug, KJell & Mehmetoglu, Mehmet & Mittner, Matthias, 2024. "modsem: An R package for estimating latent interactions and quadratic effects," OSF Preprints h3rpw, Center for Open Science.
    19. Allen, Jaime & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2019. "On evasion behaviour in public transport: Dissatisfaction or contagion?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 626-651.
    20. Merkle, Edgar C. & Steyvers, Mark & Mellers, Barbara & Tetlock, Philip E., 2017. "A neglected dimension of good forecasting judgment: The questions we choose also matter," International Journal of Forecasting, Elsevier, vol. 33(4), pages 817-832.

    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:eee:socmed:v:280:y:2021:i:c:s0277953621003609. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.