Evidence map›Paper›PMID 42651536›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Effects of Information Source Characteristics on Trust and Health Information Behaviours Among Individuals with Different Levels of Cyberchondria.

Yuanli Liu, Xiaoling Hu, Zeyang Yang

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. 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
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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

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

3 authors.

Yuanli LiuDepartment of Psychology, School of Education, Soochow University, Suzhou 215123, China.
Xiaoling HuSchool of Chinese Language and Literature, Hubei University of Education, Wuhan 430205, China.
Zeyang YangDepartment of Psychology, School of Education, Soochow University, Suzhou 215123, China.ORCID 0000-0003-0489-9132

Funding

National Social Science Fund of China 22CSH077
6 · The paper itself

Abstract

Online health information spreads quickly across different publishers and platforms. However, little is known about how information source characteristics, together with cyberchondria, influence individuals' trust and intentions to share and verify. Using a 2 × 2 × 3 between-subject design, the present study investigated the effects of cyberchondria severity (high/low), publisher type (verified/unverified), and platform type (health app/search engine/social media) on individuals' trust in health information and their intentions to share and verify that information. A total of 204 participants were included in this experiment. The results show that verified publishers and health apps can increase trust and the intention to share. Individuals with high cyberchondria show higher trust and intentions to share and verify, only when the publisher was unverified. The findings suggest that external authority (verification of accounts and professional content apps) can moderate the effects of cyberchondria or its related anxiety. The present study contributes to the literature on the determinants of online health behaviours by using an experimental design, with practical implications for platform management and online health information publishers.

Indexed as

cyberchondriahealth information behavioursinformation source characteristicstrust

Identifiers

PMID42651536
PMCPMC13509222

What OpenQuestion holds

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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.