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The Functions of Affect in Health Communications and in the Construction of Health Preferences
Abstract
We examine potential roles of 4 functions of affect in health communication and the construction of health preferences. The roles of these 4 functions (affect as information, as a spotlight, as a motivator, and as common currency) are illustrated in the area of cancer screening and treatment decision making. We demonstrate that experienced affect influences information processes, judgments, and decisions. We relate the functions to a self-regulation approach and examine factors that may influence the weight of cognitive versus affective processing of information. Affect’s role in health communication is likely to be nuanced, and it deserves careful empirical study of its effects on patients’ well-being.
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Metadata
- Authors
- Peters, E., Lipkus, I., & Diefenbach, M. A.
- Affiliations
- Decision Research (US)
- Duke Medical Center (US)
- Icahn School of Medicine at Mount Sinai (US)
- Venue
- Journal of Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-08-01
- Volume
- 56
- Issue
- suppl_1
- Pages
- S140-S162
- ISSN
- 0021-9916 (ISSN-L)
- 1460-2466
- OpenAlex
- W2074355911
- Cited by
- 251
- References
- 90
- Citations by year
- 2026: 9 · 2025: 4 · 2024: 12 · 2023: 14 · 2022: 13 · 2021: 21 · 2020: 19 · 2019: 16 · 2018: 20 · 2017: 10 · 2016: 16 · 2015: 14 · 2014: 13 · 2013: 12 · 2012: 6
- FWCI
- 14.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Communication (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
- Social Sciences › Communication › Media Influence and Health
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- affect, health communication, health preferences, cancer screening, treatment decision-making, affect-as-information, self-regulation, patient well-being
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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