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Levels of trust in risk-only negative health messages issued by public agencies

A quantitative research-based mindsponge framework

Bibliographic Data

ID22232001
AuthorsNanae Tanemura (0000-0002-1787-9571, National Institute of Biomedical Innovation, Health and Nutrition, corresponding author), Masako Kakizaki (0000-0001-6030-8953, Nagoya City University), Takashi Kusumi (0000-0001-7968-2304, Kyoto University), Rie Onodera (0000-0002-9987-0473, Osaka Metropolitan University), Tsuyoshi Chiba (0000-0002-7853-6089, National Institute of Biomedical Innovation, Health and Nutrition)
Year2022
Volume9
Issue1
Publication date2022-10-25
Open AccessYes
TypeARTICLE
VenueHumanities and Social Sciences Communications (JOURNAL)
Journal identifiersISSN: 2662-9992 • E-ISSN: 2662-9992
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1057/s41599-022-01415-x
OpenAlexW4307386705
LanguageEN
Citations received6
References cited14

Trust in messengers is essential for a public agency to ensure effective benefit-risk communication. However, there is insufficient research on the difference in trust between risk-only or benefit-and-risk messages that deal with negative topics. To clarify these differences, this study used three radiation topics to determine the best benefit-risk communication design. We conducted a randomized comparative study in November 2020 on 1100 Japanese individuals (550 men and 550 women), who were allocated either to the risk message group (risk-only) or the benefit-and-risk message group (benefit-and-risk). The questionnaire focused on the trust level in a public agency for each message. We conducted an independent sample t -test using the trust mean at the time of registration. There were significant differences in the trust level in the public agency for all three topics ( p

Business · Computer security · Perception · Political science · Public health · Public relations · Public trust · Risk assessment · Risk communication · Risk perception · Sociology · Behavioral Health and Interventions · Computer Science · Medicine · Patient-Provider Communication in Healthcare · Psychology · Risk Perception and Management

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Citations per year3
Citation span2024 - 2026 (3)
Highly citedNo

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