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Summarising data and factors associated with COVID-19 related conspiracy theories in the first year of the pandemic: a systematic review and narrative synthesis

Conspiracy theories can have particularly harmful effects by negatively shaping health-related behaviours. A significant number of COVID-19 specific conspiracy theories emerged in the immediate aftermath of the pandemic outbreak. The aim of this study was to systematically review the literature on c...

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Autores principales: Tsamakis, Konstantinos, Tsiptsios, Dimitrios, Stubbs, Brendon, Ma, Ruimin, Romano, Eugenia, Mueller, Christoph, Ahmad, Ayesha, Triantafyllis, Andreas S., Tsitsas, George, Dragioti, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623972/
https://www.ncbi.nlm.nih.gov/pubmed/36320071
http://dx.doi.org/10.1186/s40359-022-00959-6
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author Tsamakis, Konstantinos
Tsiptsios, Dimitrios
Stubbs, Brendon
Ma, Ruimin
Romano, Eugenia
Mueller, Christoph
Ahmad, Ayesha
Triantafyllis, Andreas S.
Tsitsas, George
Dragioti, Elena
author_facet Tsamakis, Konstantinos
Tsiptsios, Dimitrios
Stubbs, Brendon
Ma, Ruimin
Romano, Eugenia
Mueller, Christoph
Ahmad, Ayesha
Triantafyllis, Andreas S.
Tsitsas, George
Dragioti, Elena
author_sort Tsamakis, Konstantinos
collection PubMed
description Conspiracy theories can have particularly harmful effects by negatively shaping health-related behaviours. A significant number of COVID-19 specific conspiracy theories emerged in the immediate aftermath of the pandemic outbreak. The aim of this study was to systematically review the literature on conspiracy theories related to COVID-19 during the first year of the pandemic (2020), to identify their prevalence, their determinants and their public health consequences. A comprehensive literature search was carried out in PubMed and PsycINFO to detect all studies examining any conspiracy theory related to COVID-19 between January 1st 2020, and January 10th 2021. Forty-three studies were included with a total of 61,809 participants. Between 0.4 and 82.7% of participants agreed with at least one conspiracy belief. Certain sociodemographic factors (young age, female gender, being non-white, lower socioeconomic status), psychological aspects (pessimism, blaming others, anger) and other qualities (political conservatism, religiosity, mistrust in science and using social media as source of information) were associated with increased acceptance of conspiracy theories. Conspiracy beliefs led to harmful health-related behaviours and posed a serious public health threat. Large-scale collaborations between governments and healthcare organizations are needed to curb the spread of conspiracy theories and their adverse consequences. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40359-022-00959-6.
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spelling pubmed-96239722022-11-02 Summarising data and factors associated with COVID-19 related conspiracy theories in the first year of the pandemic: a systematic review and narrative synthesis Tsamakis, Konstantinos Tsiptsios, Dimitrios Stubbs, Brendon Ma, Ruimin Romano, Eugenia Mueller, Christoph Ahmad, Ayesha Triantafyllis, Andreas S. Tsitsas, George Dragioti, Elena BMC Psychol Research Conspiracy theories can have particularly harmful effects by negatively shaping health-related behaviours. A significant number of COVID-19 specific conspiracy theories emerged in the immediate aftermath of the pandemic outbreak. The aim of this study was to systematically review the literature on conspiracy theories related to COVID-19 during the first year of the pandemic (2020), to identify their prevalence, their determinants and their public health consequences. A comprehensive literature search was carried out in PubMed and PsycINFO to detect all studies examining any conspiracy theory related to COVID-19 between January 1st 2020, and January 10th 2021. Forty-three studies were included with a total of 61,809 participants. Between 0.4 and 82.7% of participants agreed with at least one conspiracy belief. Certain sociodemographic factors (young age, female gender, being non-white, lower socioeconomic status), psychological aspects (pessimism, blaming others, anger) and other qualities (political conservatism, religiosity, mistrust in science and using social media as source of information) were associated with increased acceptance of conspiracy theories. Conspiracy beliefs led to harmful health-related behaviours and posed a serious public health threat. Large-scale collaborations between governments and healthcare organizations are needed to curb the spread of conspiracy theories and their adverse consequences. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40359-022-00959-6. BioMed Central 2022-11-01 /pmc/articles/PMC9623972/ /pubmed/36320071 http://dx.doi.org/10.1186/s40359-022-00959-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Tsamakis, Konstantinos
Tsiptsios, Dimitrios
Stubbs, Brendon
Ma, Ruimin
Romano, Eugenia
Mueller, Christoph
Ahmad, Ayesha
Triantafyllis, Andreas S.
Tsitsas, George
Dragioti, Elena
Summarising data and factors associated with COVID-19 related conspiracy theories in the first year of the pandemic: a systematic review and narrative synthesis
title Summarising data and factors associated with COVID-19 related conspiracy theories in the first year of the pandemic: a systematic review and narrative synthesis
title_full Summarising data and factors associated with COVID-19 related conspiracy theories in the first year of the pandemic: a systematic review and narrative synthesis
title_fullStr Summarising data and factors associated with COVID-19 related conspiracy theories in the first year of the pandemic: a systematic review and narrative synthesis
title_full_unstemmed Summarising data and factors associated with COVID-19 related conspiracy theories in the first year of the pandemic: a systematic review and narrative synthesis
title_short Summarising data and factors associated with COVID-19 related conspiracy theories in the first year of the pandemic: a systematic review and narrative synthesis
title_sort summarising data and factors associated with covid-19 related conspiracy theories in the first year of the pandemic: a systematic review and narrative synthesis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623972/
https://www.ncbi.nlm.nih.gov/pubmed/36320071
http://dx.doi.org/10.1186/s40359-022-00959-6
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