The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Advancing Tailored Health Communication: A Persuasion and Message Effects Perspective
Abstract
Tailored health communication (THC) is any combination of information and behavior change strategies intended to reach one specific person based on information unique to that person, related to the outcome of interest, and derived from an individual assessment. THCs have been studied as a means to facilitate behavior change by influencing some key intermediate steps that precede the behavioral outcome. These include the extent to which people attend to communications, think about them, find them relevant and salient, and intend to take action. Evidence shows that THCs have achieved modest success in changing a number of cancer-related behaviors, including smoking, diet, exercise, and cancer screening. However, it is likely that THCs could be more effective if they were developed with a greater understanding of message effects and what we refer to as the behavioral pathway. Instead of using unidimensional approaches to influence behavior change, a message effects approach would help researchers identify key leverage points for impact on such intermediate outcomes as persuasion and yielding. Such a strategy also might be used to determine when THCs are the preferred approach and when generic, targeted, or combinations of THCs and targeted communications might be appropriate. Viewing THCs from the perspective of the behavioral pathway might indicate use of different messages, sources, and formats to influence different people at different points on the pathway. We provide a brief history of THCs and suggest how integrating a broader perspective of health behavior and health communication theories could enrich THCs.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Experts in health behavior change have shown that conveying health information without considering individual differences may inhibit behavior change [20-26].”
From Tailored web-based interventions for pain: Systematic review and meta-analysis (2017) · cites this paper as [25]
Citations
Cites
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Health Behavior and Health Education: Theory, Research, and Practice
(1992) · Annals of Internal Medicine · doi:10.7326/0003-4819-116-4-350_1 · Cited by 13,232
Attitudes and Persuasion: Classic and Contemporary Approaches
Petty, R. E., & Cacioppo, J. T. (1981) · Medical Entomology and Zoology · Cited by 3,368
Perugini, M., & Bagozzi, R. P. (2001) · British Journal of Social Psychology · doi:10.1348/014466601164704 · Cited by 1,830
The transtheoretical model and stages of change
Prochaska, J. O., Redding, C. A., & Evers, K. E. (1996) · Cited by 1,328
Petty, R. E., & Krosnick, J. A. (2014) · Psychology Press eBooks · doi:10.4324/9781315807041 · Cited by 1,313
Cognitive Responses in Persuasion
Petty, R. E., Ostrom, T. M., & Brock, T. C. (2014) · Psychology Press eBooks · doi:10.4324/9781315803012 · Cited by 1,223
Health Behavior and Health Education
Glanz, K., Lewis, F. M., & Rimer, B. K. (1991) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199112000-00016 · Cited by 1,127
Self-citationTailored and Targeted Health Communication: Strategies for Enhancing Information Relevance
Kreuter, M. W., & Wray, R. J. (2003) · American Journal of Health Behavior · doi:10.5993/ajhb.27.1.s3.6 · Cited by 1,095
Self-citationOne size does not fit all: the case for tailoring print materials
Kreuter, M. W., Strecher, V. J., & Glassman, B. (1999) · Annals of Behavioral Medicine · doi:10.1007/bf02895958 · Cited by 831
Self-citation
Research works printed but not linked: 10
- 1999, Dual-process models in social psychology, 97
- Institute of Medicine, 2003, Speaking of health: Assessing health communications strategies for diverse populations
- 2002, Appreciation and override processes in attitude change
- 2002,, Using the limited capacity model of mediated message processing to study and design health communication messages
- 2002, Health behavior and health education: Theory, research, and practice, 67
- 1994, Persuasion: Psychological insights and perspectives, 113
- 2002, Health behavior and health education: Theory, research, and practice, 99
- 1992, Pathways to freedom: Winning the fight against tobacco
- 2003, Diffusion of innovations
- 2002, Health behavior and health education: Theory, research and practice, 121
Cited by
Sorted by citations
Abrahamse, W., Steg, L., Vlek, C., & Rothengatter, T. (2007) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2007.08.002 · Cited by 880
The Role of Theory in Developing Effective Health Communications
Fishbein, M., & Cappella, J. N. (2006) · Journal of Communication · doi:10.1111/j.1460-2466.2006.00280.x · Cited by 873
A meta-analysis of computer-tailored interventions for health behavior change
Krebs, P., Prochaska, J. O., & Rossi, J. S. (2010) · Preventive Medicine · doi:10.1016/j.ypmed.2010.06.004 · Cited by 854
Rothman, A. J., Bartels, R. D., Wlaschin, J., & Salovey, P. (2006) · Journal of Communication · doi:10.1111/j.1460-2466.2006.00290.x · Cited by 771
A meta-analysis of web-delivered tailored health behavior change interventions
Lustria, M. L. A., Noar, S. M., Cortese, J., Van Stee, S. K., Glueckauf, R. L., & Lee, J. (2013) · Journal of Health Communication · doi:10.1080/10810730.2013.768727 · Cited by 689
Narratives and cancer communication
Green, M. C. (2006) · Journal of Communication · doi:10.1111/j.1460-2466.2006.00288.x · Cited by 682
on behalf of the GrandStand, S. S. A. T. G. O. T. M. R. G., Leask, C. F., Sandlund, M., Skelton, D. A., Altenburg, T. M., Cardon, G., Chinapaw, M. J. M., De Bourdeaudhuij, I., Verloigne, M., & Chastin, S. F. M. (2019) · Research Involvement and Engagement · doi:10.1186/s40900-018-0136-9 · Cited by 673
Computer-tailored health interventions delivered over the web: Review and analysis of key components
Lustria, M. L. A., Cortese, J., Noar, S. M., & Glueckauf, R. L. (2009) · Patient Education and Counseling · doi:10.1016/j.pec.2008.08.023 · Cited by 566
Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis
Azucar, D., Marengo, D., & Settanni, M. (2017) · Personality and Individual Differences · doi:10.1016/j.paid.2017.12.018 · Cited by 572
van der Meer, T. G. L. A., & Jin, Y. (2019) · Health Communication · doi:10.1080/10410236.2019.1573295 · Cited by 432
Toward a Theory of Interactive Media Effects (TIME)
Sundar, S. S., Jia, H., Waddell, T. K., & Huang, Y. (2015) · Wiley eBooks · doi:10.1002/9781118426456.ch3 · Cited by 392
Meeting the health literacy needs of immigrant populations
Kreps, G. L., & Sparks, L. (2008) · Patient Education and Counseling · doi:10.1016/j.pec.2008.03.001 · Cited by 340
Testimonials Versus Informational Persuasive Messages
Braverman, J. (2008) · Communication Research · doi:10.1177/0093650208321785 · Cited by 231
Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good
Wang, X., Shi, W., Kim, R., Oh, Y., Yang, S., Zhang, J., & Yu, Z. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/p19-1566 · Cited by 222
The Role of Message Tailoring in the Development of Persuasive Health Communication Messages
Noar, S. M., Harrington, N. G., & Aldrich, R. S. (2009) · Annals of the International Communication Association · doi:10.1080/23808985.2009.11679085 · Cited by 224
Health, environmental, and animal rights motives for vegetarian eating
Hopwood, C. J., Bleidorn, W., Schwaba, T., & Chen, S. (2020) · PLoS ONE · doi:10.1371/journal.pone.0230609 · Cited by 224
Is this for me? How Consumers Respond to Personalized Advertising on Social Network Sites
Keyzer, F. D., Dens, N., & Pelsmacker, P. D. (2015) · Journal of Interactive Advertising · doi:10.1080/15252019.2015.1082450 · Cited by 241
Lehto, T., & Oinas-Kukkonen, H. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1559 · Cited by 203
Dahlke, D. V., Fair, K. N., Hong, Y. A., Beaudoin, C. E., Pulczinski, J. C., & Ory, M. G. (2015) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3861 · Cited by 188
Chen, X., & Chen, H. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17124437 · Cited by 195
Li, C. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.049 · Cited by 189
The ABCs of Financial Education: Experimental Evidence on Attitudes, Behavior, and Cognitive Biases
Carpena, F., Cole, S. A., Shapiro, J., & Zia, B. (2017) · Management Science · doi:10.1287/mnsc.2017.2819 · Cited by 216
Tailored Health Communication to Change Lifestyle Behaviors
Noar, S. M., Grant Harrington, N., Van Stee, S. K., & Shemanski Aldrich, R. (2011) · American Journal of Lifestyle Medicine · doi:10.1177/1559827610387255 · Cited by 183
From Press Release to News: Mapping the Framing of the 2009 H1N1 A Influenza Pandemic
Lee, S. T., & Basnyat, I. (2012) · Health Communication · doi:10.1080/10410236.2012.658550 · Cited by 196
Finding The “Self” in Self-Regulation: The Identity-Value Model
Berkman, E. T., Livingston, J., & Kahn, L. E. (2017) · Psychological Inquiry · doi:10.1080/1047840x.2017.1323463 · Cited by 181
Bukman, A. J., Teuscher, D., Feskens, E. J. M., van Baak, M. A., Meershoek, A., & Renes, R. J. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-1036 · Cited by 160
Automating the News: How Personalized News Recommender System Design Choices Impact News Reception
Beam, M. A. (2014) · Communication Research · doi:10.1177/0093650213497979 · Cited by 159
Das, E. H. H. J., Kerkhof, P., & Kuiper, J. (2008) · Journal of Applied Communication Research · doi:10.1080/00909880801922854 · Cited by 158
Jensen, J. D., King, A. J., Carcioppolo, N., & Davis, L. A. (2012) · Journal of Communication · doi:10.1111/j.1460-2466.2012.01668.x · Cited by 154
Enwald, H., & Huotari, M.-L. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1409 · Cited by 140
Fundamental Processes Leading to Attitude Change: Implications for Cancer Prevention Communications
Briñol, P., & Petty, R. E. (2006) · Journal of Communication · doi:10.1111/j.1460-2466.2006.00284.x · Cited by 131
Cappella, J. N. (2006) · Journal of Communication · doi:10.1111/j.1460-2466.2006.00293.x · Cited by 137
Can Computer-Mediated Interventions Change Theoretical Mediators of Safer Sex? A Meta-Analysis
Noar, S. M., Pierce, L. B., & Black, H. G. (2010) · Human Communication Research · doi:10.1111/j.1468-2958.2010.01376.x · Cited by 131
Ahn, S. J. (2014) · Health Communication · doi:10.1080/10410236.2013.869650 · Cited by 132
The information needs of adult cancer survivors across the cancer continuum: A scoping review
Fletcher, C. M. E., Flight, I. H. K., Chapman, J., Gunn, K. M., & Wilson, C. J. (2016) · Patient Education and Counseling · doi:10.1016/j.pec.2016.10.008 · Cited by 135
Privacy in the age of psychological targeting
Matz, S., Appel, R. E., & Kosiński, M. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2019.08.010 · Cited by 137
Ezendam, N. P. M. (2011) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/archpediatrics.2011.204 · Cited by 123
de Graaf, A. (2013) · Human Communication Research · doi:10.1111/hcre.12015 · Cited by 134
School-based sleep promotion programs: Effectiveness, feasibility and insights for future research
Cassoff, J., Knäuper, B., Michaelsen, S., & Gruber, R. (2013) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2012.07.001 · Cited by 118
Theory and Principles of Public Communication Campaigns
Atkin, C. K., & Rice, R. E. (2013) · Sage eBooks · doi:10.4135/9781544308449.n1 · Cited by 116
E‐Word‐of‐Mouth on health social networking sites: An opportunity for tailored health communication
Liang, B., & Scammon, D. L. (2011) · Journal of Consumer Behaviour · doi:10.1002/cb.378 · Cited by 123
Fernández, E., Giunti, G., Mackey, L. M., Blake, C. M., & Caulfield, B. (2019) · JMIR Aging · doi:10.2196/12192 · Cited by 118
Giunti, G., Kool, J., Rivera-Romero, O., & Zubiete, E. D. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.8996 · Cited by 111
Claassen, L., Henneman, L., Janssens, A. C. J. W., Pijl, M., Qureshi, N., Walter, F. M., Yoon, P. W., & Timmermans, D. R. M. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-248 · Cited by 106
Public acceptability towards environmental policy measures: Value-matching appeals
Nilsson, A., Hansla, A., Heiling, J. M., Bergstad, C. J., & Martinsson, J. (2016) · Environmental Science & Policy · doi:10.1016/j.envsci.2016.04.013 · Cited by 102
Emotional and informational patient cues: The impact of nurses’ responses on recall
Jansen, J., van Weert, J. C. M., de Groot, J., van Dulmen, S., Heeren, T. J., & Bensing, J. M. (2009) · Patient Education and Counseling · doi:10.1016/j.pec.2009.10.010 · Cited by 102
Effects of Cultural Tailoring on Persuasion in Cancer Communication: A Meta-Analysis
Huang, Y., & Shen, F. (2016) · Journal of Communication · doi:10.1111/jcom.12243 · Cited by 102
Petraglia, J. (2009) · Health Communication · doi:10.1080/10410230802676771 · Cited by 98
Health-related attitudes as a basis for segmenting European fish consumers
Pieniak, Z., Verbeke, W., Olsen, S. O., Hansen, K. B., & Brunsø, K. (2010) · Food Policy · doi:10.1016/j.foodpol.2010.05.002 · Cited by 97
Does regulatory fit lead to more effective health communication? A systematic review
Ludolph, R. A., & Schulz, P. J. (2015) · Social Science & Medicine · doi:10.1016/j.socscimed.2015.01.021 · Cited by 108
Association of alexithymia and depression symptom severity in adults aged 50 years and older
Bamonti, P. M., Heisel, M. J., Topciu, R. A., Franus, N., Talbot, N. L., & Duberstein, P. R. (2010) · The American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e3181bd1bfe · Cited by 90
Using Systematic Measurement to Target Consumer Activation Strategies
Hibbard, J. H. (2008) · Medical Care Research and Review · doi:10.1177/1077558708326969 · Cited by 92
Hanus, M. D., & Fox, J. (2015) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2015.07.004 · Cited by 97
Tailored web-based interventions for pain: Systematic review and meta-analysis
Martorella, G., Boitor, M., Berube, M., Fredericks, S., Le May, S., & Gélinas, C. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.8826 · Cited by 88
de Visser, R. O., Wheeler, Z., Abraham, C., & Smith, J. A. (2013) · Psychology and Health · doi:10.1080/08870446.2013.828293 · Cited by 89
PERSUASION AS GOVERNANCE: A STATE-CENTRIC RELATIONAL PERSPECTIVE
Bell, S., Hindmoor, A., & Mols, F. (2010) · Public Administration · doi:10.1111/j.1467-9299.2010.01838.x · Cited by 88
Jensen, J. D., King, A. J., Carcioppolo, N., Krakow, M., Samadder, N. J., & Morgan, S. E. (2013) · Social Science & Medicine · doi:10.1016/j.socscimed.2013.12.003 · Cited by 83
Tailored health communication: Opportunities and challenges in the digital era
Bol, N., Smit, E. S., & Lustria, M. L. A. (2020) · Digital Health · doi:10.1177/2055207620958913 · Cited by 87
Ostherr, K., Killoran, P. V., Shegog, R., & Bruera, E. D. (2015) · Journal of Palliative Medicine · doi:10.1089/jpm.2015.0341 · Cited by 88
Polypharmacy and health beliefs in older outpatients
Rossi, M. I., Young, A., Maher, R. L., Rodriguez, K. L., Appelt, C. J., Perera, S., Hajjar, E. R., & Hanlon, J. T. (2007) · The American Journal of Geriatric Pharmacotherapy · doi:10.1016/j.amjopharm.2007.12.001 · Cited by 84
Self-efficacy moderates message-framing effects: The case of skin-cancer detection
Riet, J. V. ‘., Ruiter, R. A. C., Werrij, M. Q., & de Vries, H. (2008) · Psychology and Health · doi:10.1080/08870440802530798 · Cited by 84
van Weert, J. C. M., van Noort, G., Bol, N., van Dijk, L., Tates, K., & Jansen, J. (2011) · Patient Education and Counseling · doi:10.1016/j.pec.2011.04.006 · Cited by 83
Kim, J.-Y., & Gambino, A. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.08.038 · Cited by 84
Co-creating a tailored public health intervention to reduce older adults’ sedentary behaviour
Leask, C. F., Sandlund, M., Skelton, D. A., & CHASTIN, S. F. M. (2017) · Health Education Journal · doi:10.1177/0017896917707785 · Cited by 83
Characterizing HPV Vaccine Sentiments and Content on Instagram
Kearney, M. D., Selvan, P., Hauer, M. K., Leader, A. E., & Massey, P. M. (2019) · Health Education & Behavior · doi:10.1177/1090198119859412 · Cited by 84
Joyal‐Desmarais, K., Scharmer, A., Madzelan, M. K., See, J. V., Rothman, A. J., & Snyder, M. (2022) · Psychological Bulletin · doi:10.1037/bul0000377 · Cited by 99
Jim, H., Quinn, G. P., Gwede, C. K., Cases, M. G., Barata, A., Cessna, J. M., Christie, J., Gonzalez, L., Koskan, A. M., & Pidala, J. (2013) · Bone Marrow Transplantation · doi:10.1038/bmt.2013.158 · Cited by 81
Hébert, E. T., Stevens, E. M., Frank-Pearce, S. G., Kendzor, D. E., Wetter, D. W., Zvolensky, M. J., Buckner, J. D., & Businelle, M. S. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.10.026 · Cited by 79
Miller, C. H., & Quick, B. L. (2010) · Health Communication · doi:10.1080/10410231003698945 · Cited by 79
Chan, M. S., Jamieson, K. H., & Albarracín, D. (2020) · Vaccine · doi:10.1016/j.vaccine.2020.07.054 · Cited by 78
Communication technologies to improve HPV vaccination initiation and completion: A systematic review
Francis, D. B., Cates, J. R., Wagner, K. P. G., Zola, T., Fitter, J., & Coyne-Beasley, T. D. (2017) · Patient Education and Counseling · doi:10.1016/j.pec.2017.02.004 · Cited by 78
Motivational Technologies: A Theoretical Framework for Designing Preventive Health Applications
Sundar, S. S., Bellur, S. S., & Jia, H. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-31037-9_10 · Cited by 85
Community responses to communication campaigns for influenza A (H1N1): a focus group study
Gray, L., MacDonald, C., Mackie, B., Paton, D., Johnston, D. M., & Baker, M. G. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-205 · Cited by 76
Gooblar, J., Roe, C. M., Selsor, N. J., Gabel, M. J., & Morris, J. C. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.2875 · Cited by 78
Riet, J. V. ‘., Ruiter, R. A. C., Werrij, M. Q., & de Vries, H. (2009) · Health Education Research · doi:10.1093/her/cyp061 · Cited by 73
Carter, D. D., Robinson, K., Forbes, J., & Hayes, S. (2018) · PLoS ONE · doi:10.1371/journal.pone.0208759 · Cited by 83
Developing a theory driven text messaging intervention for addiction care with user driven content.
Muench, F. J., Weiss, R. A., Kuerbis, A., & Morgenstern, J. (2012) · Psychology of Addictive Behaviors · doi:10.1037/a0029963 · Cited by 75
Guidelines for Formative Evaluation Research in Campaign Design
Atkin, C. K., & Freimuth, V. S. (2013) · Sage eBooks · doi:10.4135/9781544308449.n4 · Cited by 73
Using personas to tailor educational messages to the preferences of coronary heart disease patients
Vosbergen, S., Mulder-Wiggers, J. M. R., Lacroix, J. P. W., Kemps, H., Kraaijenhagen, R. A., Jaspers, M., & Peek, N. B. (2014) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2014.09.004 · Cited by 72
Bolle, S., van Weert, J. C. M., Daams, J. G., Loos, E. F., de Haes, J. C. J. M., & Smets, E. M. A. (2015) · Journal of Health Communication · doi:10.1080/10810730.2015.1018637 · Cited by 75
Beam, M. A., & Kosicki, G. M. (2014) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699013514411 · Cited by 71
Enhancing playful customer experience with personalization
Lambillotte, L., Magrofuoco, N., Poncin, I., & Vanderdonckt, J. M. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2022.103017 · Cited by 98
Identifying climate change interpretive communities in a large Australian sample
Hine, D. W., Reser, J., Phillips, W. J., Cooksey, R., Marks, A. D. G., Nunn, P. D., Watt, S., Bradley, G. L., & Glendon, A. I. (2013) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2013.08.006 · Cited by 78
van Weert, J. C. M., Jansen, J., Spreeuwenberg, P. M. M., van Dulmen, S., & Bensing, J. M. (2010) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2010.10.010 · Cited by 68
The effect of spokesperson attribution on public health message sharing during the COVID-19 pandemic
Abu-Akel, A. M., Spitz, A., & West, R. (2021) · PLoS ONE · doi:10.1371/journal.pone.0245100 · Cited by 71
Strategic Use of Communication to Market Cancer Prevention and Control to Vulnerable Populations
Kreps, G. L. (2008) · Health Marketing Quarterly · doi:10.1080/07359680802126327 · Cited by 63
“To Booze or Not to Booze?” Newspaper Coverage of Fetal Alcohol Spectrum Disorders
Connolly-Ahern, C., & Broadway, S. C. (2008) · Science Communication · doi:10.1177/1075547007313031 · Cited by 63
Lustria, M. L. A., Cortese, J., Gerend, M. A., Schmitt, K., Kung, Y. M., & McLaughlin, C. (2016) · Health Psychology · doi:10.1037/hea0000399 · Cited by 62
Impact of Mailed and Automated Telephone Reminders on Receipt of Repeat Mammograms
DeFrank, J. T., Rimer, B. K., Gierisch, J. M., Bowling, J. M., Farrell, D. W., & Skinner, C. S. (2009) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2009.01.032 · Cited by 57
Self-citationMuusses, L. D., van Weert, J. C. M., van Dulmen, S., & Jansen, J. (2011) · Psycho-Oncology · doi:10.1002/pon.1997 · Cited by 57
Older cancer patients’ information and communication needs: What they want is what they get?
van Weert, J. C. M., Bolle, S., van Dulmen, S., & Jansen, J. (2013) · Patient Education and Counseling · doi:10.1016/j.pec.2013.03.011 · Cited by 56
de Vries, R. A. J., Truong, K. P., Zaga, C., Li, J. J., & Evers, V. (2017) · Personal and Ubiquitous Computing · doi:10.1007/s00779-017-1025-1 · Cited by 60
Victorson, D. E., Banas, J. R., Smith, J., Languido, L., Shen, E., Gutiérrez, S., Cordero, E., & Flores, L. (2014) · American Journal of Public Health · doi:10.2105/ajph.2014.302187 · Cited by 55
Friederichs, S. A. H., Oenema, A., Bolman, C. A. W., Guyaux, J., van Keulen, H. M., & Lechner, L. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-212 · Cited by 60
Braca, A., & Dondio, P. (2023) · Italian Journal of Marketing · doi:10.1007/s43039-023-00077-0 · Cited by 101
Understanding drivers of brand love - the role of personalized ads on social media
Tran, T. P., Muldrow, A. F., & Ho, K. N. B. (2020) · Journal of Consumer Marketing · doi:10.1108/jcm-07-2019-3304 · Cited by 55
Huang, S.-J., Hung, W.-C., Chang, M., & Chang, J. (2009) · Journal of Health Communication · doi:10.1080/10810730902805788 · Cited by 52
Nguyen, M. H., van Weert, J. C. M., Bol, N., Loos, E. F., Tytgat, K. M. A. J., van de Ven, A. W. H., & Smets, E. M. A. (2016) · Human Communication Research · doi:10.1111/hcre.12097 · Cited by 58
Promoting Mental Health Help-Seeking Behavior Among First-Year College Students
Pace, K., Silk, K. J., Nazione, S. A., Fournier, L., & Collins‐Eaglin, J. (2016) · Health Communication · doi:10.1080/10410236.2016.1250065 · Cited by 51
Let’s get personal: Which elements elicit perceived personalization in social media advertising?
Keyzer, F. D., Dens, N., & Pelsmacker, P. D. (2022) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2022.101183 · Cited by 50
Metadata
- Authors
- Rimer, B. K., & Kreuter, M. W.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Saint Louis University (US)
- ORCID
- Kreuter, Matthew W.
- Venue
- Journal of Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-08-01
- Volume
- 56
- Issue
- suppl_1
- Pages
- S184-S201
- ISSN
- 0021-9916 (ISSN-L)
- 1460-2466
- OpenAlex
- W1973492382
- Cited by
- 531
- References
- 67
- Citations by year
- 2026: 13 · 2025: 19 · 2024: 26 · 2023: 22 · 2022: 39 · 2021: 45 · 2020: 30 · 2019: 43 · 2018: 34 · 2017: 23 · 2016: 30 · 2015: 28 · 2014: 36 · 2013: 39 · 2012: 23
- FWCI
- 323.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Communication (publishedVersion)
- Funders
- Saint Louis University
- Korea Electrotechnology Research Institute
- National Cancer Institute
- Topics
- Social Sciences › Communication › Media Influence and Health
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
- Keywords
- tailored health communication, message effects, persuasion, behavioral pathways, health behavior change, smoking, diet, physical activity, cancer screening, targeted communication, health communication theory
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 ›
Are you an author, or do you see a problem with this page? Request a review