Rural adults’ perceptions of nutrition recommendations for cancer prevention: Contradictory and conflicting messages

References

• Peacey V, Steptoe A, Davídsdóttir S, et al. Low levels of breast cancer risk awareness in young women: An international survey. Eur J Cancer. 2006;42(15):2585–2589. doi:10.1016/j.ejca.2006.03.017
   PubMed Web of Science ®Google Scholar
• Goding Sauer A, Fedewa SA, Bandi P, et al. Proportion of cancer cases and deaths attributable to alcohol consumption by US state, 2013-2016. Cancer Epidemiol. 2021;71(Pt A):101893), doi:10.1016/j.canep.2021.101893
   PubMedGoogle Scholar
• Vieira AR, Abar L, Chan DSM, et al. Foods and beverages and colorectal cancer risk: a systematic review and meta-analysis of cohort studies, an update of the evidence of the WCRF-AICR continuous update project. Ann Oncol. 2017;28(8):1788–1802. doi:10.1093/annonc/mdx171
   PubMed Web of Science ®Google Scholar
• Kiviniemi MT, Orom H, Hay JL, et al. Limitations in American adults’ awareness of and beliefs about alcohol as a risk factor for cancer. Prevent Med Rep. 2021;23:101433), doi:10.1016/j.pmedr.2021.101433
   PubMedGoogle Scholar
• Wiseman KP, Klein WMP. Evaluating correlates of awareness of the association between drinking too much alcohol and cancer risk in the United States. Cancer Epidemiol Biomark Prevent. 2019;28(7):1195–1201. doi:10.1158/1055-9965.EPI-18-1010
   PubMed Web of Science ®Google Scholar
• American Institute for cancer research. (2020). 2019 AICR Cancer risk awareness survey.
   Google Scholar
• Cole AM, Jackson JE, Doescher M. Colorectal cancer screening disparities for rural minorities in the United States. J Prim Care Commun Health. 2013;4(2):106–111. doi:10.1177/2150131912463244
   PubMedGoogle Scholar
• Zahnd WE, Murphy C, Knoll M, et al. The intersection of rural residence and minority race/ethnicity in cancer disparities in the United States. Intern J Environ Res Public Health. 2021;18(1384):1384–26. doi:10.3390/ijerph18041384
   PubMedGoogle Scholar
• Gapstur SM, Bandera Ev, Jernigan DH, et al. Alcohol and cancer: existing knowledge and evidence gaps across the cancer continuum. Cancer Epidemiol Biomark Prevent. 2022;31(1):5–10. doi:10.1158/1055-9965.EPI-21-0934
   PubMed Web of Science ®Google Scholar
• White MJ, Perrin AJ, Caren N, et al. Back in the Day: nostalgia frames rural residents’ perspectives on diet and physical activity. J Nutr Educ Behav. 2020;52(2):126–133. doi:10.1016/j.jneb.2019.05.601
   PubMed Web of Science ®Google Scholar
• Clinton SK, Giovannucci EL, Hursting SD. The world cancer research fund/American institute for cancer research third expert report on diet, nutrition, physical activity, and cancer: impact and future directions. J Nutr. 2020;150(4):663–671. doi:10.1093/jn/nxz268
   PubMed Web of Science ®Google Scholar
• USDA, U.S. Department of Agriculture, & U.S. Department of Health and Human Services. (2020). Dietary guidelines for Americans, 2020-2025. DietaryGuidelines.gov.
   Google Scholar
• Agarwal DP. Cardioprotective effects of light-moderate consumption of alcohol: a review of putative mechanisms. Alcohol Alcoholism. 2002;37(5):409–415. doi:10.1093/alcalc/37.5.409
   PubMed Web of Science ®Google Scholar
• Haseeb S, Alexander B, Baranchuk A, et al. Wine and cardiovascular health. Circulation. 2017;136:1434–1448. doi:10.1161/CIRCULATIONAHA.117.030387
   PubMed Web of Science ®Google Scholar
• Koppes LLJ, Dekker JM, Hendriks HFJ, et al. Moderate alcohol consumption lowers the risk of type 2 diabetes. Diab Care. 2005;28(3):719–725. doi:10.2337/diacare.28.3.719
   PubMed Web of Science ®Google Scholar
• Jackson I, Osaghae I, Ananaba N, et al. Sources of health information among U.S. cancer survivors: results from the health information national trends survey (HINTS). AIMS Public Health. 2020;7(2):363–379. doi:10.3934/publichealth.2020031
   PubMed Web of Science ®Google Scholar
• Khandelwal S, Zemore SE, Hemmerling A. Nutrition education in internal medicine residency programs and predictors of residents’ dietary counseling practices. JMed Educ Curric Develop. 2018;5:238212051876336), doi:10.1177/2382120518763360
   Web of Science ®Google Scholar
• Smith S, Seeholzer EL, Gullett H, et al. Primary care residents' knowledge, attitudes, self-efficacy, and perceived professional norms regarding obesity, nutrition, and physical activity counseling. J Grad Med Educ. 2015;7(3):388–394. doi:10.4300/JGME-D-14-00710.1
   PubMedGoogle Scholar
• Szmitko PE, Verma S. Red wine and your heart. Circulation. 2005;111(2):e10–e11. doi:10.1161/01.CIR.0000151608.29217.62
   PubMed Web of Science ®Google Scholar
• Eng L, Pringle D, Su J, et al. Patterns, perceptions and their association with changes in alcohol consumption in cancer survivors. Eur J Cancer Care. 2019;28(1):e12933), doi:10.1111/ecc.12933
   PubMed Web of Science ®Google Scholar
• Ihekweazu C. Is coffee the cause or the cure? Conflicting nutrition messages in two decades of online new york times' nutrition news coverage. Health Commun. 2023;38(2):260–274. doi:10.1080/10410236.2021.1950291
   PubMed Web of Science ®Google Scholar
• Nagler RH. Adverse outcomes associated with media exposure to contradictory nutrition messages. J Health Commun. 2014;19(1):24–40. doi:10.1080/10810730.2013.798384
   PubMed Web of Science ®Google Scholar
• Carpenter DM, Geryk LL, Chen AT, et al. Conflicting health information: a critical research need. Health Expect. 2016;19(6):1173–1182. doi:10.1111/hex.12438
   PubMed Web of Science ®Google Scholar
• Chang C. Motivated processing. Sci Commun. 2015;37(5):602–634. doi:10.1177/1075547015597914
   Google Scholar
• Hoefel L, O’Connor AM, Lewis KB, et al. 20th anniversary update of the Ottawa decision support framework part 1: A systematic review of the decisional needs of people making health or social decisions. Med Decision Mak. 2020;40(5):555–581. doi:10.1177/0272989X20936209
   PubMed Web of Science ®Google Scholar
• Han PKJ, Kobrin SC, Klein WMP, et al. Perceived ambiguity about screening mammography recommendations: association with future mammography uptake and perceptions. Cancer Epidemiol Biomark Prevent. 2007;16(3):458–466. doi:10.1158/1055-9965.EPI-06-0533
   PubMed Web of Science ®Google Scholar
• Goldberg JP, Sliwa SA. Communicating actionable nutrition messages: challenges and opportunities. Proc Nutr Soc. 2011;70(1):26–37. doi:10.1017/S0029665110004714
   PubMed Web of Science ®Google Scholar
• Cai S, Li Y, Ding Y, et al. Alcohol drinking and the risk of colorectal cancer death. Eur J Cancer Prevent. 2014;23(6):532–539. doi:10.1097/CEJ.0000000000000076
   PubMed Web of Science ®Google Scholar
• Piano MR. Alcohol’s effects on the cardiovascular system. Alcohol Res Curr Rev. 2017;38(2):219.
   Web of Science ®Google Scholar
• Ronksley PE, Brien SE, Turner BJ, et al. Association of alcohol consumption with selected cardiovascular disease outcomes: a systematic review and meta-analysis. BMJ. 2011;342(7795):d671), doi:10.1136/bmj.d671
   PubMedGoogle Scholar
• Lee CJ, Nagler RH, Wang N. Source-specific exposure to contradictory nutrition information: documenting prevalence and effects on adverse cognitive and behavioral outcomes. Health Commun. 2018;33(4):453–461. doi:10.1080/10410236.2016.1278495
   PubMed Web of Science ®Google Scholar
• Vijaykumar S, McNeill A, Simpson J. Associations between conflicting nutrition information, nutrition confusion and backlash among consumers in the UK. Public Health Nutr. 2021;24(5):914–923. doi:10.1017/S1368980021000124
   PubMed Web of Science ®Google Scholar
• Wei Lin Leung V, Krumrei-Mancuso EJ, Trammell J. The effects of conflicting dietary information on dieting self-efficacy and motivation. Psi Chi Journal of Psychological Research. 2019;24(4):246–254. doi:10.24839/2325-7342.JN24.4.246
   Google Scholar
• Krieger, J. L., Lee, D., Vilaro, M. J., Wilson-Howard, D., Raisa, A., & Addie, Y. O. (2022). Research translation, dissemination, and implementation. In T. L. Thompson & N. G. Harrington (Eds.), The Routledge handbook of health communication (3rd ed). Routledge.
   Google Scholar
• Ericsson KA, Simon HA. How to study thinking in everyday life: contrasting think-aloud protocols With descriptions and explanations of thinking. Cult Activ. 1998;5(3):178–186. doi:10.1207/s15327884mca0503_3
   Google Scholar
• Wang Y, Thier K, Lee S, et al. Persuasive effects of temporal framing in health messaging: A meta-analysis. Health Communication. 2023.
   Web of Science ®Google Scholar
• Lincoln YS, Guba EG. Naturalistic inquiry. Thousand Oaks (CA): Sage; 1985.
   Google Scholar
• Campbell JL, Quincy C, Osserman J, et al. Coding in-depth semistructured interviews: Problems of unitization and intercoder reliability and agreement. Soc Method Res. 2013;42(3):294–320. doi:10.1177/0049124113500475
   Web of Science ®Google Scholar
• Zimbres TM, Bell RA, Miller LMS, et al. When media health stories conflict: test of the contradictory health information processing (CHIP) model. . J Health Commun. 2021;26(7):460–472. doi:10.1080/10810730.2021.1950239
   PubMed Web of Science ®Google Scholar
• Clark D, Nagler RH, Niederdeppe J. Confusion and nutritional backlash from news media exposure to contradictory information about carbohydrates and dietary fats. Public Health Nutr. 2019;22(18):3336–3348. doi:10.1017/S1368980019002866
   PubMed Web of Science ®Google Scholar
• Reynolds-Tylus T. Psychological reactance and persuasive health communication: A review of the literature. Front Commun. 2019;4(56):1–12.
   Google Scholar
• Steindl, C., Jonas, E., Sittenthaler, S., Traut-Mattausch, E., & Greenberg, J. (2015). Understanding psychological reactance: New developments and findings. In Zeitschrift fur psychologie/Journal of psychology (Vol. 223, issue 4), pp. 205–214. Hogrefe Publishing.
   Google Scholar
• de Lemus S, Bukowski M, Spears R, et al. Reactance to (or acceptance of) stereotypes. Zeitschrift Für Psychologie. 2015;223(4):236), doi:10.1027/2151-2604/a000225
   Web of Science ®Google Scholar
• Hocevar KP, Metzger M, Flanagin AJ, et al. Oxford research encyclopedia of communication. Oxford Res Encycl Commun. 2017.
   Google Scholar
• Jung EH, Walsh-Childers K, Kim HS. Factors influencing the perceived credibility of diet-nutrition information web sites. Comput Hum Behav. 2016;58:37–47. doi:10.1016/j.chb.2015.11.044
   Web of Science ®Google Scholar
• Nagler RH, Vogel RI, Rothman AJ, et al. Vulnerability to the effects of conflicting health information: testing the moderating roles of trust in news media and research literacy. Health Educ Behav. 2023;50(0):224–233. doi:10.1177/10901981221110832
   PubMedGoogle Scholar
• Cooks EJ, Cooks EJ, Duke KA, et al. Telehealth and racial disparities in colorectal cancer screening: A pilot study of how virtual clinician characteristics influence screening intentions. J Clin Transl Sci. 2022;6(1):e48), doi:10.1017/cts.2022.386
   PubMedGoogle Scholar
• Olafsson, S., O’Leary, T. K., & Bickmore, T. W. (2020). Motivating health behavior change with humorous virtual agents, 1–8.
   Google Scholar
• Vilaro MJ, Wilson-Howard DS, Zalake MS, et al. Key changes to improve social presence of a virtual health assistant promoting colorectal cancer screening informed by a technology acceptance model. BMC Med Inform Decision Mak. 2021;21(196):1–9.
   PubMedGoogle Scholar
• Qin, Y., Chen, J., Namkoong, K., Ledford, V., Jungkyu, &, & Lim, R. (2022). Increasing perceived risk of opioid misuse: The effects of concrete language and image. Health Commun, 37(4), 425–437. doi:10.1080/10410236.2020.1846323
   PubMed Web of Science ®Google Scholar
• Iles IA, Gillman AS, Ferrer RA, et al. Self-affirmation inductions to reduce defensive processing of threatening health risk information. Psychol Health. 2022;37(10):1287–1308. doi:10.1080/08870446.2021.1945060
   PubMed Web of Science ®Google Scholar
• Smith SG, Kobayashi LC, Wolf MS, et al. The associations between objective numeracy and colorectal cancer screening knowledge, attitudes and defensive processing in a deprived community sample. J Health Psychol. 2016;21(8):1665–1675. doi:10.1177/1359105314560919
   PubMed Web of Science ®Google Scholar
• Nabi RL, Green MC. The role of a narrative’s emotional flow in promoting persuasive outcomes. Media Psychol. 2015;18(2):137–162. doi:10.1080/15213269.2014.912585
   Web of Science ®Google Scholar
• Lane RD, Ryan L, Nadel L, et al. Memory reconsolidation, emotional arousal, and the process of change in psychotherapy: New insights from brain science. Behav Brain Sci. 2015;38:e1), doi:10.1017/S0140525X14000041
   PubMed Web of Science ®Google Scholar
• Oxman AD, Fretheim A, Lewin S, et al. Health communication in and out of public health emergencies: to persuade or to inform? Health Res Policy Syst. 2022;20(1):1–9. doi:10.1186/s12961-022-00828-z
   PubMed Web of Science ®Google Scholar
• Rothman AJ, Bartels RD, Wlaschin J, et al. The strategic use of gain- and loss-framed messages to promote healthy behavior: How theory Can inform practice. J Commun. 2006;56(suppl_1):S202–S220. doi:10.1111/j.1460-2466.2006.00290.x
   Web of Science ®Google Scholar
• Bannon K, Schwartz MB. Impact of nutrition messages on children’s food choice: pilot study. Appetite. 2006;46(2):124–129. doi:10.1016/j.appet.2005.10.009
   PubMed Web of Science ®Google Scholar
• Brug J, Ruiter RAC, van Assema P. The (IR)relevance of framing nutrition education messages. Nutr Health. 2003;17(1):9–20. doi:10.1177/026010600301700102
   PubMedGoogle Scholar
• Prochaska JO, di Clemente CC. Transtheoretical therapy: toward a more integrative model of change. Psychother Theory Res Pract. 1982;19(3):276–288. doi:10.1037/h0088437
   Web of Science ®Google Scholar
• DiClemete CC. Addiction and change: How addictions develop and addicted people recover. 2nd ed. Guilford Press; 2018; https://psycnet.apa.org/record/2017-40890-000.
   Google Scholar
• Burke V, Beilin L, Cutt HE, et al. Moderators and mediators of behaviour change in a lifestyle program for treated hypertensives: a randomized controlled trial (ADAPT) on JSTOR. Health Educ Res. 2008;23(4):583–591. doi:10.1093/her/cym047. https://www.jstor.org/stable/45110475.
   PubMed Web of Science ®Google Scholar
• Vilaro MJ, Staub D, Xu C, et al. Theory-Based interventions for long-term adherence to improvements in diet quality. Amer J Lifestyle Med. 2016;10; doi:10.1177/1559827616661690
   PubMedGoogle Scholar
• Misra S, Stokols D. Psychological and health outcomes of perceived information overload. Environ Behav. 2012;44(6):737–759. doi:10.1177/0013916511404408
   Web of Science ®Google Scholar
• Suka M, Yamauchi T, Yanagisawa H. Persuasive messages can be more effective when repeated: A comparative survey assessing a message to seek help for depression among Japanese adults. Patient Educ Counsel. 2020;103(4):811–818. doi:10.1016/j.pec.2019.11.008
   PubMed Web of Science ®Google Scholar
• Mamedova, S., & Pawlowski, E.. (2013). Adult numeracy in the United States. Data point. NCES 2020-025. National Center for Education Statistics.
   Google Scholar
• Ancker JS, Benda NC, Sharma MM, et al. Taxonomies for synthesizing the evidence on communicating numbers in health: goals, format, and structure. Risk Anal. 2022.
   PubMed Web of Science ®Google Scholar
• Gurmankin AD, Baron J, Armstrong K. Intended message versus message received in hypothetical physician risk communications: exploring the Gap. Risk Anal. 2004;24(5):1337–1347. doi:10.1111/j.0272-4332.2004.00530.x
   PubMed Web of Science ®Google Scholar
• Lipkus IM, Peters E. Understanding the role of numeracy in health: proposed theoretical framework and practical insights. Health Educ Behav. 2009;36(6):1065–1081. doi:10.1177/1090198109341533
   PubMed Web of Science ®Google Scholar
• Han PKJ, Klein WMP, Killam B, et al. Representing randomness in the communication of individualized cancer risk estimates: effects on cancer risk perceptions, worry, and subjective uncertainty about risk. Patient Educ Counsel. 2012;86(1):106–113. doi:10.1016/j.pec.2011.01.033
   PubMed Web of Science ®Google Scholar
• Reyna VF, Nelson WL, Han PK, et al. How numeracy influences risk comprehension and medical decision making. Psychol Bullet. 2009;135(6):943–973. doi:10.1037/a0017327
   PubMed Web of Science ®Google Scholar
• Walter N, Murphy ST. How to unring the bell: A meta-analytic approach to correction of misinformation. Commun Monogr. 2018;85(3):423–441. doi:10.1080/03637751.2018.1467564
   Web of Science ®Google Scholar
• Bautista JR, Zhang Y, Gwizdka J. Healthcare professionals’ acts of correcting health misinformation on social media. Intern J Med Inform. 2021;148; doi:10.1016/j.ijmedinf.2021.104375
   PubMed Web of Science ®Google Scholar