ArticleHealthcare (Basel, Switzerland)2026
Social Perception of Natural Background Radiation and Its Implications for Public Health Communication.
Article in Healthcare (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.
What it found
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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.
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.
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Who cites it
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Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundPublic perception of environmental (natural background) radiation represents an important challenge for public health communication, as risk perception is often influenced more by information quality and institutional trust than by objective exposure levels.
methodsA cross-sectional survey was conducted among 481 respondents using a structured questionnaire assessing self-perceived knowledge, information sources, perceived radiation risk, institutional trust, and health-related attitudes.
resultsSignificant gender differences were observed in self-reported knowledge about radioactivity, with men more frequently reporting higher knowledge levels than women (
conclusionsEffective radiation risk communication requires more than the dissemination of information; it must also address public concerns, enhance institutional trust, and provide clear, credible, and accessible health-related messages. Tailored communication strategies are essential to bridge the gap between expert knowledge and public perception.
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Registered trials
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.