Health Communications Science Digest – June

June 2021 -- Vol. 12, Issue 6e

To enhance awareness of emerging health communication and marketing scientific knowledge, the Science Team in the Office of the Associate Director for Communication frequently undertakes an extensive scan of the expert literature.  Recent publications with particular relevance for the public health communication community are detailed here.

Abstracts and PDF copies of most articles are available through the DOI hyperlink included with each citation.  In some instances, articles must be requested via another source and a hyperlink to facilitate that process is included with the reference.  Please note that hyperlinks are to CDC licensed materials and are generally available only through the CDC intranet.

Please let us know if anyone in your CIO publishes a health communication or marketing science paper.  We’d love to share the news!  Also, we’re happy to provide assistance.  Contact HCSD@cdc.gov.

Articles of Interest
  • Basch, C. H., Mohlman, J., Fera, J., Tang, H., Pellicane, A., & Basch, C. E. (2021). Community Mitigation of COVID-19 and Portrayal of Testing on TikTok: Descriptive Study. JMIR Public Health Surveill, 7(6), e29528. doi:2196/29528external icon
  • Broniatowski, D. A., Dredze, M., & Ayers, J. W. (2021). “First Do No Harm”: Effective Communication About COVID-19 Vaccines. Am J Public Health, 111(6), 1055-1057. doi:2105/ajph.2021.306288external icon
  • Fareed, N., Jonnalagadda, P., Swoboda, C. M., Samineni, P., Griesenbrock, T., & Huerta, T. (2021). Socioeconomic Factors Influence Health Information Seeking and Trust Over Time: Evidence From a Cross-Sectional, Pooled Analyses of HINTS Data. Am J Health Promot, 8901171211018135. doi:1177/08901171211018135external icon
  • Freeman, D., Loe, B. S., Yu, L. M., Freeman, J., Chadwick, A., Vaccari, C., . . . Lambe, S. (2021). Effects of different types of written vaccination information on COVID-19 vaccine hesitancy in the UK (OCEANS-III): a single-blind, parallel-group, randomised controlled trial. Lancet Public Health, 6(6), e416-e427. doi:1016/s2468-2667(21)00096-7external icon
  • Frounfelker, R. L., Santavicca, T., Li, Z. Y., Miconi, D., Venkatesh, V., & Rousseau, C. (2021). COVID-19 Experiences and Social Distancing: Insights From the Theory of Planned Behavior. Am J Health Promot, 8901171211020997. doi:1177/08901171211020997external icon
  • Jenkins, E. L., Legrand, S., Brennan, L., Molenaar, A., Reid, M., & McCaffrey, T. A. (2021). Psycho-Behavioural Segmentation in Food and Nutrition: A Systematic Scoping Review of the Literature. Nutrients, 13(6). doi: 3390/nu13061795external icon
  • Krawczyk, K., Chelkowski, T., Laydon, D. J., Mishra, S., Xifara, D., Flaxman, S., . . . Bhatt, S. (2021). Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource. J Med Internet Res, 23(6), e28253. doi:2196/28253external icon
  • McDowell, M., & Kause, A. (2021). Communicating Uncertainties About the Effects of Medical Interventions Using Different Display Formats. Risk Anal. doi:1111/risa.13739external icon
  • Moore, R. C., Lee, A. Y., Hancock, J. T., Halley, M. C., & Linos, E. (2021). Age-Related Differences in Experiences With Social Distancing at the Onset of the COVID-19 Pandemic: A Computational and Content Analytic Investigation of Natural Language From a Social Media Survey. JMIR Hum Factors, 8(2), e26043. doi:2196/26043external icon
  • Myrick, J. G., & Willoughby, J. F. (2021). The “celebrity canary in the coal mine for the coronavirus”: An examination of a theoretical model of celebrity illness disclosure effects. Soc Sci Med, 279, 113963. doi:1016/j.socscimed.2021.113963external icon
  • Nah, S., & Oh, J. (2021). Interactivity Can Enhance the Effectiveness of Threat Appeals: Implications for Preventive Health Websites. Health Commun, 1-11. doi:1080/10410236.2021.1937831external icon
  • Neely, S., Eldredge, C., & Sanders, R. (2021). Health Information Seeking Behaviors on Social Media During the COVID-19 Pandemic Among American Social Networking Site Users: Survey Study. J Med Internet Res, 23(6), e29802. doi:2196/29802external icon
  • Pang, B., Saleme, P., Seydel, T., Kim, J., Knox, K., & Rundle-Thiele, S. (2021). The effectiveness of graphic health warnings on tobacco products: a systematic review on perceived harm and quit intentions. BMC Public Health, 21(1), 884. doi:1186/s12889-021-10810-zpdf iconexternal icon
  • Pool, J., Fatehi, F., & Akhlaghpour, S. (2021). Infodemic, Misinformation and Disinformation in Pandemics: Scientific Landscape and the Road Ahead for Public Health Informatics Research. Stud Health Technol Inform, 281, 764-768. doi:3233/SHTI210278external icon
  • Purnat, T. D., Vacca, P., Burzo, S., Zecchin, T., Wright, A., Briand, S., & Nguyen, T. (2021). WHO Digital Intelligence Analysis for Tracking Narratives and Information Voids in the COVID-19 Infodemic. Stud Health Technol Inform, 281, 989-993. doi:3233/SHTI210326external icon
  • Ray, C. D., Harvey, J., Floyd, K., Bonito, J. A., & Reblin, M. (2021). Mixed Messages: II. Outcomes Associated with the Proportion and Placement of Negative Statements in Support Messages. Health Commun, 36(7), 856-865. doi:1080/10410236.2020.1719322external icon
  • Shimul, A. S., Cheah, I., & Lou, A. J. (2021). Regulatory focus and junk food avoidance: The influence of health consciousness, perceived risk and message framing. Appetite, 166, 105428. doi:1016/j.appet.2021.105428external icon
  • Sinclair, S., & Agerström, J. (2021). Do Social Norms Influence Young People’s Willingness to Take the COVID-19 Vaccine? Health Commun, 1-8. doi:1080/10410236.2021.1937832external icon
  • Taggart, T., Ritchwood, T. D., Nyhan, K., & Ransome, Y. (2021). Messaging matters: achieving equity in the HIV response through public health communication. Lancet HIV, 8(6), e376-e386. doi:1016/s2352-3018(21)00078-3external icon
  • Tewarson, H., Greene, K., & Fraser, M. R. (2021). State Strategies for Addressing Barriers During the Early US COVID-19 Vaccination Campaign. Am J Public Health, 111(6), 1073-1077. doi:2105/ajph.2021.306241external icon
  • Wawrzuta, D., Jaworski, M., Gotlib, J., & Panczyk, M. (2021). Characteristics of Antivaccine Messages on Social Media: Systematic Review. J Med Internet Res, 23(6), e24564. doi:2196/24564external icon
  • Williams, A., Bowen, S. A., Murphy, M., Costa, K., Echavarria, C., & Knight, M. (2021). Enhancing the Adoption of Evidence-Based Health Marketing and Promotion Strategies in Local Communities: Building a Communication Dissemination and Support System for the National Diabetes Prevention Program. Health Promot Pract, 15248399211013817. doi:1177/15248399211013817external icon
  • Zhang, N., & Wen, T. J. (2021). Exploring the Public Perception of Depression: Interplay between the Attribution of Cause and Narrative Persuasion. Health Commun, 36(8), 992-1000. doi:1080/10410236.2020.1731775external icon

DISCLAIMER: Articles listed in the Health Communication Science Digest (HCSD) are selected by Office of the Associate Director for Communication (OADC) staff to provide current awareness of the public health communication literature. An article’s inclusion does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article’s methods or findings. OADC, CDC, and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by OADC, CDC, or DHHS. Opinions, findings and conclusions expressed by the original authors of items included in the HCSD, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of OADC, CDC, or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by OADC, CDC, or DHHS.

Page last reviewed: June 28, 2021