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Proposed Model of the Relationship of Risk Information Seeking and Processing to the Development of Preventive Behaviors
Abstract
We articulate a model that focuses on characteristics of individuals that might predispose them to seek and process information about health in different ways. Specifically, the model proposes that seven factors-(1) individual characteristics, (2) perceived hazard characteristics, (3) affective response to the risk, (4) felt social pressures to possess relevant information, (5) information sufficiency, (6) one's personal capacity to learn, (7) beliefs about the usefulness of information in various channels-will influence the extent to which a person will seek out this risk information in both routine and nonroutine channels and the extent to which he or she will spend time and effort analyzing the risk information critically. By adapting and synthesizing aspects of Eagly and Chaiken's Heuristic-Systematic Model and Ajzen's Theory of Planned Behavior, we also expect that people who engage in more effortful information seeking and processing are more likely to develop risk-related cognitions, attitudes, and behaviors that are more stable (i.e., less changeable or volatile) over time. Since most forms of health information campaigns attempt to get people to adopt habitual or lifestyle changes, factors leading to the stability or volatility of those behavioral changes are essential concerns.
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“In 2010, Kahlor [22] developed the planned risk information seeking model (PRISM) by integrating multiple information seeking models including the theory of planned behavior [23], the risk information seeking and processing (RISP) model [24], and the augmented RISP model [25].”
From A Cross-Cultural Comparison of an Extended Planned Risk Information Seeking Model on Mental Health Among College Students: Cross-Sectional Study (2020) · cites this paper as [24]
In the citing paper
“Griffin et al. proposed three direct determinants of information seeking behavior: information insufficiency, perceived information-gathering capacity, and relevant channel beliefs (public’s beliefs about different information channels) [11].”
From Risk Information Seeking Behavior in Disaster Resettlement: A Case Study of Ankang City, China (2020) · cites this paper as [11]
In the citing paper
“The most commonly used model is the risk information seeking and processing (RISP) model because it provides predictors related to individual information and risk behavior status [11].”
From Risk Information Seeking Behavior in Disaster Resettlement: A Case Study of Ankang City, China (2020) · cites this paper as [11]
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Metadata
- Authors
- Griffin, R. J., Dunwoody, S., & Neuwirth, K.
- Affiliations
- Marquette University (US)
- University of Wisconsin–Madison (US)
- University of Cincinnati (US)
- ORCID
- Griffin, Robert J.
- Venue
- Environmental Research
- Publisher
- Elsevier BV
- Published
- 1999-02
- Volume
- 80
- Issue
- 2
- Pages
- S230-S245
- ISSN
- 0013-9351 (ISSN-L)
- OpenAlex
- W2145362870
- Cited by
- 1,187
- References
- 88
- Citations by year
- 2026: 92 · 2025: 100 · 2024: 89 · 2023: 100 · 2022: 99 · 2021: 111 · 2020: 80 · 2019: 50 · 2018: 52 · 2017: 43 · 2016: 65 · 2015: 41 · 2014: 41 · 2013: 49 · 2012: 29
- FWCI
- 18.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Environmental Research (publishedVersion)
- PubMed (publishedVersion)
- e-Publications@Marquette (Marquette University) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Risk Perception and Management
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Social Sciences › Communication › Media Influence and Health
- Keywords
- risk information seeking, risk information processing, preventive health behavior, heuristic-systematic model, theory of planned behavior, information sufficiency, learning ability, health information campaigns
- MeSH terms
- Communication, Humans, Information Services, Models, Theoretical, Public Health, Risk Management, Risk-Taking, Social Conditions, Health Behavior
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