Evidence map›Paper›PMID 33469574›Full record

ArticleResearch square2021

Paranoia and belief updating during a crisis.

Praveen Suthaharan, Erin J Reed, Pantelis Leptourgos, Joshua Kenney, Stefan Uddenberg, Christoph D Mathys, Leib Litman, Jonathan Robinson, Aaron J Moss, Jane R Taylor and 2 more

Abstract readPreprint
In one paragraph

Article in Research square, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Praveen SuthaharanDepartment of Psychiatry, Connecticut Mental Health Center, Yale University, New Haven, CT, USA.
Erin J ReedInterdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA.
Pantelis LeptourgosDepartment of Psychiatry, Connecticut Mental Health Center, Yale University, New Haven, CT, USA.
Joshua KenneyDepartment of Psychiatry, Connecticut Mental Health Center, Yale University, New Haven, CT, USA.
Stefan UddenbergPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Christoph D MathysInteracting Minds Center, Aarhus University, Aarhus, Denmark.
Leib LitmanCloudResearch, 65-30 Kissena Blvd Hall 2, Room 20, Flushing, NY 11367.
Jonathan RobinsonCloudResearch, 65-30 Kissena Blvd Hall 2, Room 20, Flushing, NY 11367.
Aaron J MossCloudResearch, 65-30 Kissena Blvd Hall 2, Room 20, Flushing, NY 11367.
Jane R TaylorDepartment of Psychiatry, Connecticut Mental Health Center, Yale University, New Haven, CT, USA.
Stephanie M GromanDepartment of Psychiatry, Connecticut Mental Health Center, Yale University, New Haven, CT, USA.
Philip R CorlettDepartment of Psychiatry, Connecticut Mental Health Center, Yale University, New Haven, CT, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
NRSA Training Grant in Quantitative NeuroscienceT32MH065214 · NIMH · PRINCETON UNIVERSITY · PI Nathaniel Douglass Daw, KENNETH A NORMAN · 2002 to 2026
$7.9M
NEUROBIOLOGY OF CORTICAL SYSTEMST32NS007224 · NINDS · YALE UNIVERSITY · PI CARDIN, JESSICA A · 1985 to 2025
$4.6M
Decision-Making Dysfunction and Chronic CocaineR01DA041480 · NIDA · YALE UNIVERSITY · PI TAYLOR, JANE R · 2017 to 2021
$1.7M
Explaining Paranoia: Computational Modeling of Belief Updating in the General PopulationR21MH120799 · NIMH · YALE UNIVERSITY · PI CORLETT, PHILIP · 2019 to 2020
$404k
NCATS NIH HHS UL1 TR001863NIDA NIH HHS R01 DA041480NIGMS NIH HHS T32 GM007205NIMH NIH HHS R21 MH120799NIMH NIH HHS T32 MH065214NINDS NIH HHS T32 NS007224
6 · The paper itself

Abstract

The 2019 coronavirus (COVID-19) pandemic has made the world seem unpredictable. During such crises we can experience concerns that others might be against us, culminating perhaps in paranoid conspiracy theories. Here, we investigate paranoia and belief updating in an online sample (N=1,010) in the United States of America (U.S.A). We demonstrate the pandemic increased individuals' self-rated paranoia and rendered their task-based belief updating more erratic. Local lockdown and reopening policies, as well as culture more broadly, markedly influenced participants' belief-updating: an early and sustained lockdown rendered people's belief updating less capricious. Masks are clearly an effective public health measure against COVID-19. However, state-mandated mask wearing increased paranoia and induced more erratic behaviour. Remarkably, this was most evident in those states where adherence to mask wearing rules was poor but where rule following is typically more common. This paranoia may explain the lack of compliance with this simple and effective countermeasure. Computational analyses of participant behaviour suggested that people with higher paranoia expected the task to be more unstable, but at the same time predicted more rewards. In a follow-up study we found people who were more paranoid endorsed conspiracies about mask-wearing and potential vaccines - again, mask attitude and conspiratorial beliefs were associated with erratic task behaviour and changed priors. Future public health responses to the pandemic might leverage these observations, mollifying paranoia and increasing adherence by tempering people's expectations of other's behaviour, and the environment more broadly, and reinforcing compliance.

Identifiers

PMID33469574
PMCPMC7814833

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.