Evidence map›Paper›PMID 36320071›Full record

SynthesisBMC psychology2022

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

Konstantinos Tsamakis, Dimitrios Tsiptsios, Brendon Stubbs, Ruimin Ma, Eugenia Romano, Christoph Mueller, Ayesha Ahmad, Andreas S Triantafyllis, George Tsitsas, Elena Dragioti

Abstract readSystematic Review
In one paragraph

Synthesis in BMC psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Prevalence, nature, and determinants of COVID-19-related conspiracy theories among healthcare workers: a scoping review.European psychiatry : the journal of the Association of European Psychiatrists · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Konstantinos TsamakisInstitute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.
Dimitrios TsiptsiosNeurology Department, Democritus University of Thrace, Alexandroupolis, Greece.
Brendon StubbsInstitute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.
Ruimin MaInstitute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.
Eugenia RomanoInstitute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.
Christoph MuellerInstitute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.
Ayesha AhmadInstitute of Medical and Biomedical Education, St George's University of London, London, UK.
Andreas S TriantafyllisDepartment of Cardiology, Asklepeion General Hospital Athens, Athens, Greece.
George TsitsasCounselling Centre, Harokopio University, Athens, Greece.
Elena DragiotiDepartment of Health, Medicine and Caring Sciences, Pain and Rehabilitation Centre, Linköping University, Linköping, Sweden. elena.dragioti@liu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19Social MediaFemaleHumansPandemicsPublic HealthSARS-CoV-2BeliefsConspiracy theoriesCOVID-19First yearInfodemicMisinformationPandemicPublic health

Identifiers

PMID36320071
PMCPMC9623972

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.