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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Interventions to Engage Affective Forecasting in Health-Related Decision Making: A Meta-Analysis
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Understanding the Interactive Effects of Emotional Appeal and Claim Strength in Health Messages
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Where people look for online health information
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Using Social and Behavioural Science to Support COVID-19 Pandemic ResponsePreprint
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Kiviniemi, M. T., Ellis, E. M., Hall, M. G., Moss, J. L., Lillie, S. E., Brewer, N. T., & Klein, W. M. P. (2017) · Psychology and Health · doi:10.1080/08870446.2017.1324973 · Cited by 67 · see citing works
Vaccine Risk Perceptions and Ad Hoc Risk Communication: An Empirical AssessmentPreprint
Kahan, D. M. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2386034 · Cited by 63 · see citing works
Dhanesh, G. S., & Nekmat, E. (2018) · Management Communication Quarterly · doi:10.1177/0893318918793941 · Cited by 64 · see citing works
Toward a theory of affordable loss
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Byron, M., Baig, S. A., Moracco, K. E., & Brewer, N. T. (2015) · Tobacco Control · doi:10.1136/tobaccocontrol-2015-052560 · Cited by 60 · see citing works
Thrasher, J. F., Brewer, N. T., Niederdeppe, J., Peters, E. M., Strasser, A. A., Grana, R., & Kaufman, A. R. (2018) · Nicotine & Tobacco Research · doi:10.1093/ntr/nty017 · Cited by 57 · see citing works
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Evans, A. T., Peters, E. M., Shoben, A. B., Meilleur, L. R., Klein, E. G., Tompkins, M. K., Römer, D., & Tusler, M. (2016) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntw389 · Cited by 53 · see citing works
Self-citationAge differences in dual information-processing modes
Peters, E. M., Diefenbach, M. A., Hess, T. M., & Västfjäll, D. (2008) · Cancer · doi:10.1002/cncr.23944 · Cited by 52 · see citing works
Self-citationSims, T. L., Tsai, J. L., Koopmann‐Holm, B., Thomas, E. A. C., & Goldstein, M. K. (2013) · Emotion · doi:10.1037/a0034372 · Cited by 51 · see citing works
Peters, E. M., & Shoots‐Reinhard, B. L. (2018) · Health Psychology Review · doi:10.1080/17437199.2018.1445542 · Cited by 51 · see citing works
Self-citationThe Power of Peers: Prompting Savings Behavior Through Social Comparison
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The affect heuristic in early judgments of product innovations
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The 1-in- X Effect on the Subjective Assessment of Medical Probabilities
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Evidence-based recommendations for communicating the impacts of climate change on health.
Peters, E., Boyd, P., Cameron, L., Contractor, N., Diefenbach, M., Fleszar-Pavlović, S. E., Markowitz, E., Salas, R. N., & Stephens, K. (2022) · Translational Behavioral Medicine · doi:10.1093/tbm/ibac029 · Cited by 41 · see citing works
Self-citationYou Can’t Get What You Want: Innovation for End-of-Life Communication in the Intensive Care Unit
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Barnato, A. E., Llewellyn-Thomas, H., Peters, E., Siminoff, L., Collins, E. D., & Barry, M. J. (2007) · Medical decision making · doi:10.1177/0272989x07306788 · Cited by 50 · see citing works
Self-citationHapairai, P. M. B., Walters, G., & Li, S. (2018) · Tourism Recreation Research · doi:10.1080/02508281.2018.1470737 · Cited by 43 · see citing works
Affect and emotions in placebo and nocebo effects: What do we know so far?
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Siminoff, L. A., & Step, M. M. (2011) · Journal of Health Communication · doi:10.1080/10810730.2010.535109 · Cited by 42 · see citing works
Age Differences in Complex Decision Making
Peters, E. M., Dieckmann, N. F., & Weller, J. A. (2010) · Elsevier eBooks · doi:10.1016/b978-0-12-380882-0.00009-7 · Cited by 39 · see citing works
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Peters, E. M., & de Bruin, W. B. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9781139015684.009 · Cited by 36 · see citing works
Self-citationCharacteristics and Correlates of Word Use in Physician-Patient Communication
Falkenstein, A., Tran, B. Q., Ludi, D., Molkara, A. M., Nguyen, H. L., Tabuenca, A. D., & Sweeny, K. M. (2016) · Annals of Behavioral Medicine · doi:10.1007/s12160-016-9792-x · Cited by 37 · see citing works
Shared Medical Decision Making in Lung Cancer Screening
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Self-citationMcCambridge, S. A., & Consedine, N. S. (2014) · Emotion · doi:10.1037/a0035209 · Cited by 37 · see citing works
Informed Citizenship in a Media-Centric Way of Life
Grabe, M. E., & Myrick, J. G. (2016) · Journal of Communication · doi:10.1111/jcom.12215 · Cited by 36 · see citing works
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Cigarette pack messages about toxic chemicals: a randomised clinical trial
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Ad-induced affect: The effects of forewarning, affect intensity, and prior brand attitude
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Sentiment Analysis to Determine the Impact of Online Messages on Smokers' Choices to Use Varenicline
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Emotion in the Law and the Lab: The Case of Graphic Cigarette Warnings
Peters, E. M., Evans, A. T., Hemmerich, N., & Berman, M. L. (2016) · Tobacco Regulatory Science · doi:10.18001/trs.2.4.10 · Cited by 31 · see citing works
Self-citationPark, J., Ju, I., & Kim, K. E. (2013) · Health Communication · doi:10.1080/10410236.2013.785318 · Cited by 32 · see citing works
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Iancheva, T., Rogaleva, L. N., García‐Mas, A., & Zafra, A. O. (2020) · Journal of Applied Sports Sciences · doi:10.37393/jass.2020.01.2 · Cited by 30 · see citing works
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Petrova, D., Traczyk, J., & García‐Retamero, R. (2018) · Journal of Behavioral Decision Making · doi:10.1002/bdm.2100 · Cited by 27 · see citing works
Karademas, E. C., & Thomadakis, C. (2021) · Current Psychology · doi:10.1007/s12144-021-01750-3 · Cited by 27 · see citing works
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Ethical Considerations for Food and Beverage Warnings
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Breast cancer anxiety's associations with responses to a chemoprevention decision aid
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Effect of Various Risk/Benefit Trade-offs on Parents’ Understanding of a Pediatric Research Study
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Electronic Word of Mouth and Consumer Generated Content
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Decision-making Processes among Prostate Cancer Survivors with Rising PSA Levels
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Emotional Aspects of Risk Perceptions
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The role of numeracy and information load in the tourist decision‐making process
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Undermining Desire: Reducing Unhealthy Choices by Highlighting Short-Term (vs. Long-Term) Costs
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- 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 › Arts and Humanities › Literature and Literary Theory › 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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