The risk of unknown: preventive behavioural intention related to PFAS exposure

Applying the psychometric paradigm and the extended parallel process model (EPPM), this study examines how highlighting the unknown aspect of the health risks from per- and polyfluoroalkyl substances (PFAS) influences people’s intention to engage in preventive behaviours. U.S. adult participants were recruited from ResearchMatch (N = 533) and took part in a one-way messaging experiment. Results showed that both response efficacy and self-efficacy moderated the relationship between threat appraisal and behavioural intention, which underlines the crucial importance of highlighting actionable strategies in risk communication messaging about PFAS prevention.

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Publication Details

Journal
Journal of Risk Research
Published
2026-08-25
DOI
https://doi.org/10.1080/13669877.2026.2722621
Primary Topic
Per- and polyfluoroalkyl substances research
Type
article
Field-Weighted Citation Impact
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article

The risk of unknown: preventive behavioural intention related to PFAS exposure

Yi Yin Leong, Janet Zheng Yang
Journal of Risk Research
Per- and polyfluoroalkyl substances research
article

The risk of unknown: preventive behavioural intention related to PFAS exposure

Yi Yin Leong, Janet Zheng Yang
article en

Abstract

Applying the psychometric paradigm and the extended parallel process model (EPPM), this study examines how highlighting the unknown aspect of the health risks from per- and polyfluoroalkyl substances (PFAS) influences people’s intention to engage in preventive behaviours. U.S. adult participants were recruited from ResearchMatch (N = 533) and took part in a one-way messaging experiment. Results showed that both response efficacy and self-efficacy moderated the relationship between threat appraisal and behavioural intention, which underlines the crucial importance of highlighting actionable strategies in risk communication messaging about PFAS prevention.

Journal of Risk Research
University at Buffalo, State University of New York (US)
Openalex Percentile: Top 17%
Per- and polyfluoroalkyl substances research
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