Evidence map›Paper›PMID 39976276›Full record

ArticleThe British journal of social psychology2025

Owners of a conspiratorial heart? Investigating the longitudinal relationship between loneliness and conspiracy beliefs.

Tisa Bertlich, Anne-Kathrin Bräscher, Sylvan Germer, Michael Witthöft, Roland Imhoff

Abstract read
In one paragraph

Article in The British journal of social psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

5 authors.

Tisa BertlichJohannes Gutenberg University Mainz, Mainz, Germany.ORCID https://orcid.org/0000-0002-9696-9646
Anne-Kathrin BräscherJohannes Gutenberg University Mainz, Mainz, Germany.
Sylvan GermerJohannes Gutenberg University Mainz, Mainz, Germany.ORCID https://orcid.org/0000-0002-8134-976X
Michael WitthöftJohannes Gutenberg University Mainz, Mainz, Germany.ORCID https://orcid.org/0000-0002-4928-4222
Roland ImhoffJohannes Gutenberg University Mainz, Mainz, Germany.ORCID https://orcid.org/0000-0003-0807-463X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Feeling positively connected to other people is a basic human need. If this need is threatened by feeling lonely, people might become more susceptible to conspiracy theories to help make sense of their surroundings. Simultaneously, conspiracy beliefs could lead to loneliness because they can strain existing relationships. Using two pre-registered longitudinal studies, we investigated the reciprocal relationship between loneliness and conspiracy mentality (Study 1, N = 1604) and the more malleable specific conspiracy beliefs (Study 2, N = 1502) during the COVID-19 pandemic. Random-intercept cross-lagged panel models showed that people who are, on average, lonelier are also more likely to believe in conspiracy theories. However, the data provided no support for the notion that conspiracy beliefs and loneliness predicted each other over time. The research helps to understand the thus far mixed evidence on loneliness and conspiracy beliefs and adds important insights to the literature on conspiracy beliefs and need deprivation.

Indexed as

COVID-19Internal-External ControlLonelinessAdultAustriaBehavior Rating ScaleFemaleGermanyHumansLongitudinal StudiesMaleMiddle AgedModels, PsychologicalPredictive Value of TestsSurveys and QuestionnairesTime Factorsconspiracy mentalityCOVID‐19 conspiracy beliefslonelinesslongitudinalrandom intercept cross‐lagged panel model

Identifiers

PMID39976276
PMCPMC11840883

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.