Dying to Fit In: How Interpersonal Networks Shape COVID-19 Health Outcomes Through Discussion and Social Norms

References

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-t
   Web of Science ®Google Scholar
• Atkins, L. A., Oman, R. F., Vesely, S. K., Aspy, C. B., & McLeroy, K. (2002). Adolescent tobacco use: The protective effects of developmental assets. American Journal of Health Promotion, 16(4), 198–205. https://doi.org/10.4278/0890-1171-16.4.198
   PubMed Web of Science ®Google Scholar
• Austin, E. T. (2021). COVID-19 vaccine rollout: Examining COVID-19 vaccination perceptions and intention among nurses. Graduate Theses, Dissertations, and Problem Reports, 1–64. https://doi.org/10.33915/etd.8284
   Google Scholar
• Basu, A., & Dutta, M. J. (2008). The relationship between health information seeking and community participation: The roles of health information orientation and efficacy. Health Communication, 23(1), 70–79. https://doi.org/10.1080/10410230701807121
   PubMed Web of Science ®Google Scholar
• Burgess, E. R., Walter, N., Ball-Rokeach, S. J., & Murphy, S. T. (2021). Communication hotspots: How infrastructure shapes people’s health. Health Communication, 36(3), 361–371. https://doi.org/10.1080/10410236.2019.1692490
   PubMed Web of Science ®Google Scholar
• Chang, C. (2020). Self-control-centered empowerment model: Health consciousness and health knowledge as drivers of empowerment-seeking through health communication. Health Communication, 35(12), 1497–1508. https://doi.org/10.1080/10410236.2019.1652385
   PubMed Web of Science ®Google Scholar
• Chatterjee, J., Bhanot, A., Frank, L., Murphy, S., & Power, G. (2009). The importance of interpersonal discussion and self-efficacy in knowledge, attitude, and practice models. International Journal of Communication, 3, 28. https://ijoc.org/index.php/ijoc/article/view/444
   Web of Science ®Google Scholar
• Cho, H., Lee, J.-S., & Lee, S. (2013). Optimistic bias about H1N1 flu: Testing the links between risk communication, optimistic bias, and self-protection behavior. Health Communication, 28(2), 146–158. https://doi.org/10.1080/10410236.2012.664805
   PubMed Web of Science ®Google Scholar
• Chung, M., Jang, Y., Knight Lapinski, M., Kerr, J. M., Zhao, J., Shupp, R., & Peng, T.-Q. (2022). I do, therefore I think it is normal: The causal effects of behavior on descriptive norm formation and evolution. Social Influence, 17(1), 17–35. https://doi.org/10.1080/15534510.2022.2052955
   Web of Science ®Google Scholar
• Chung, M., & Lapinski, M. K. (2019). Extending the theory of normative social behavior to predict hand-washing among Koreans. Health Communication, 34(10), 1120–1129. https://doi.org/10.1080/10410236.2018.1461586
   PubMed Web of Science ®Google Scholar
• Cristea, D., Ilie, D.-G., Constantinescu, C., & Fîrțală, V. (2021). Vaccinating against COVID-19: The correlation between pro-vaccination attitudes and the belief that our peers want to get vaccinated. Vaccines, 9(11), 1366. https://doi.org/10.3390/vaccines9111366
   Web of Science ®Google Scholar
• Deutsch, M., & Gerard, H. B. (1955). A study of normative and informational social influences upon individual judgment. The Journal of Abnormal and Social Psychology, 51(3), 629–636. https://doi.org/10.1037/h0046408
   PubMedGoogle Scholar
• Dunlop, S. M., Wakefield, M., & Kashima, Y. (2010). Pathways to persuasion: Cognitive and experiential responses to health-promoting mass media messages. Communication Research, 37(1), 133–164. https://doi.org/10.1177/0093650209351912
   Web of Science ®Google Scholar
• Fekadu, Z., & Kraft, P. (2002). Expanding the theory of planned behaviour: The role of social norms and group identification. Journal of Health Psychology, 7(1), 33–43. https://doi.org/10.1177/1359105302007001650
   PubMed Web of Science ®Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley Pub. Co.
   Google Scholar
• Funk, C., & Tyson, A. (2021, March 5). Growing share of Americans say they plan to get a COVID-19 vaccine – or already have. Pew Research Center Science & Society. https://www.pewresearch.org/science/2021/03/05/growing-share-of-americans-say-they-plan-to-get-a-covid-19-vaccine-or-already-have/
   Google Scholar
• Gargiulo, M., & Benassi, M. (2000). Trapped in your own net? Network cohesion, structural holes, and the adaptation of social capital. Organization Science, 11(2), 183–196. https://doi.org/10.1287/orsc.11.2.183.12514
   Web of Science ®Google Scholar
• Gerbner, G., Gross, L., Morgan, M., & Signorielli, N. (1986). Living with television: The dynamics of the cultivation process. In J. Bryant & D. Zillman (Eds.), Perspectives on media effects (pp. 17–40). Lawrence Erlbaum Associates.
   Google Scholar
• Green, M. C., & Brock, T. C. (2000). The role of transportation in the persuasiveness of public narratives. Journal of Personality and Social Psychology, 79(5), 701–721. https://doi.org/10.1037/0022-3514.79.5.701
   PubMed Web of Science ®Google Scholar
• Habersaat, K. B., Betsch, C., Danchin, M., Sunstein, C. R., Böhm, R., Falk, A., Brewer, N. T., Omer, S. B., Scherzer, M., Sah, S., Fischer, E. F., Scheel, A. E., Fancourt, D., Kitayama, S., Dubé, E., Leask, J., Dutta, M., MacDonald, N. E. , and Salvi, C. (2020). Ten considerations for effectively managing the COVID-19 transition. Nature Human Behaviour, 4(7), 677–687. https://doi.org/10.1038/s41562-020-0906-x
   PubMed Web of Science ®Google Scholar
• Harpham, T. (2002). Measuring social capital within health surveys: Key issues. Health Policy and Planning, 17(1), 106–111. https://doi.org/10.1093/heapol/17.1.106
   PubMed Web of Science ®Google Scholar
• Harrington, N. G. (2020). On changing beliefs in the closed human mind. Health Communication, 1–3. https://doi.org/10.1080/10410236.2020.1837444
   Web of Science ®Google Scholar
• Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. The Guilford Press.
   Google Scholar
• Head, K. J., & Bute, J. J. (2018). The influence of everyday interpersonal communication on the medical encounter: An extension of street’s ecological model. Health Communication, 33(6), 786–792. https://doi.org/10.1080/10410236.2017.1306474
   PubMed Web of Science ®Google Scholar
• Hendriks, H., & de Bruijn, G.-J. (2015). What do Dutch college students talk about when they talk about alcohol? Health Behavior and Policy Review, 2(3), 232–242. https://doi.org/10.14485/hbpr.2.3.8
   Google Scholar
• Hendriks, H., & Strick, M. (2020). A laughing matter? How humor in alcohol ads influences interpersonal communication and persuasion. Health Communication, 35(14), 1–9. https://doi.org/10.1080/10410236.2019.1663587
   PubMed Web of Science ®Google Scholar
• Jeong, M., & Bae, R. E. (2018). The effect of campaign-generated interpersonal communication on campaign-targeted health outcomes: A meta-analysis. Health Communication, 33(8), 988–1003. https://doi.org/10.1080/10410236.2017.1331184
   PubMed Web of Science ®Google Scholar
• Katz, E., & Lazarsfeld, P. F. (1955). Personal influence: The part played by people in the flow of mass communications. Free Press.
   Google Scholar
• Krieger, J. L., & Sarge, M. A. (2013). A serial mediation model of message framing on intentions to receive the human papillomavirus (HPV) vaccine: Revisiting the role of threat and efficacy perceptions. Health Communication, 28(1), 5–19. https://doi.org/10.1080/10410236.2012.734914
   PubMed Web of Science ®Google Scholar
• Lapinski, M. K., Anderson, J., Cruz, S., & Lapine, P. (2015). Social networks and the communication of norms about prenatal care in rural Mexico. Journal of Health Communication, 20(1), 112–120. https://doi.org/10.1080/10810730.2014.914605
   PubMed Web of Science ®Google Scholar
• Lapinski, M. K., & Rimal, R. N. (2005). An explication of social norms. Communication Theory, 15(2), 127–147. https://doi.org/10.1111/j.1468-2885.2005.tb00329.x
   Web of Science ®Google Scholar
• Larimer, M. E., Turner, A. P., Mallett, K. A., & Geisner, I. M. (2004). Predicting drinking behavior and alcohol-related problems among fraternity and sorority members: Examining the role of descriptive and injunctive norms. Psychology of Addictive Behaviors, 18(3), 203–212. https://doi.org/10.1037/0893-164x.18.3.203
   PubMed Web of Science ®Google Scholar
• Lin, N. (1999). Building a network theory of social capital. Connections, 22(1), 28–51.
   Google Scholar
• Lin, N., Cook, K. S., & Burt, R. S. (2001). Social capital: Theory and research. Transaction Publishers.
   Google Scholar
• Loxley, W. (1996). ‘Sluts’ or ‘sleazy little animals’?: Young people’s difficulties with carrying and using condoms. Journal of Community & Applied Social Psychology, 6(4), 293–298. https://doi.org/10.1002/(SICI)1099-1298(199610)6:4<293:AID-CASP377>3.0.CO;2-Q
   Web of Science ®Google Scholar
• Mabry, A., & Turner, M. M. (2015). Do sexual assault bystander interventions change men’s intentions? Applying the theory of normative social behavior to predicting bystander outcomes. Journal of Health Communication, 21(3), 276–292. https://doi.org/10.1080/10810730.2015.1058437
   PubMed Web of Science ®Google Scholar
• Melki, J., Tamim, H., Hadid, D., Farhat, S., Makki, M., Ghandour, L., & Hitti, E. (2020). Media exposure and health behavior during pandemics: The mediating effect of perceived knowledge and fear on compliance with COVID-19 prevention measures. Health Communication, 37(5), 1–11. https://doi.org/10.1080/10410236.2020.1858564
   Web of Science ®Google Scholar
• Park, H. S., & Smith, S. W. (2007). Distinctiveness and influence of subjective norms, personal descriptive and injunctive norms, and societal descriptive and injunctive norms on behavioral intent: A case of two behaviors critical to organ donation. Human Communication Research, 33(2), 194–218. https://doi.org/10.1111/j.1468-2958.2007.00296.x
   Web of Science ®Google Scholar
• Poortinga, W. (2012). Community resilience and health: The role of bonding, bridging, and linking aspects of social capital. Health & Place, 18(2), 286–295. https://doi.org/10.1016/j.healthplace.2011.09.017
   PubMed Web of Science ®Google Scholar
• Portes, A. (2000). The two meanings of social capital. Sociological Forum, 15(1), 1–12. https://doi.org/10.1023/A:1007537902813
   Web of Science ®Google Scholar
• Portes, A., & Vickstrom, E. (2011). Diversity, social capital, and cohesion. Annual Review of Sociology, 37(1), 461–479. https://doi.org/10.1146/annurev-soc-081309-150022
   Web of Science ®Google Scholar
• Reich, J. A. (2020). “We are fierce, independent thinkers and intelligent”: Social capital and stigma management among mothers who refuse vaccines. Social Science & Medicine (1982), 257, 112015. https://doi.org/10.1016/j.socscimed.2018.10.027
   PubMed Web of Science ®Google Scholar
• Rimal, R. N., & Lapinski, M. K. (2015). A re-explication of social norms, ten years later. Communication Theory, 25(4), 393–409. https://doi.org/10.1111/comt.12080
   Web of Science ®Google Scholar
• Rimal, R. N., Limaye, R. J., Roberts, P., Brown, J., & Mkandawire, G. (2013). The role of interpersonal communication in reducing structural disparities and psychosocial deficiencies: Experience from the Malawi BRIDGE project. Journal of Communication, 63(1), 51–71. https://doi.org/10.1111/jcom.12000
   Web of Science ®Google Scholar
• Rimal, R. N., & Yilma, H. (2022). Descriptive, injunctive, and collective norms: An expansion of the theory of normative social behavior (TNSB). Health Communication, 1–8. https://doi.org/10.1080/10410236.2021.1902108
   PubMed Web of Science ®Google Scholar
• Rivis, A., & Sheeran, P. (2003). Descriptive norms as an additional predictor in the theory of planned behaviour: A meta-analysis. Current Psychology, 22(3), 218–233. https://doi.org/10.1007/s12144-003-1018-2
   Web of Science ®Google Scholar
• Rudert, S. C., & Janke, S. (2022). Following the crowd in times of crisis: Descriptive norms predict physical distancing, stockpiling, and prosocial behavior during the COVID-19 pandemic. Group Processes and Intergroup Relations, 25(7), 136843022110235. https://doi.org/10.1177/13684302211023562
   Web of Science ®Google Scholar
• Ruiz, J. B., & Bell, R. A. (2021). Predictors of intention to vaccinate against COVID-19: Results of a nationwide survey. Vaccine, 39(7), 1080–1086. https://doi.org/10.1016/j.vaccine.2021.01.010
   PubMed Web of Science ®Google Scholar
• Shen, C., Monge, P., & Williams, D. (2012). Virtual brokerage and closure. Communication Research, 41(4), 459–480. https://doi.org/10.1177/0093650212455197
   Google Scholar
• Shiell, A., Hawe, P., & Kavanagh, S. (2020). Evidence suggests a need to rethink social capital and social capital interventions. Social Science & Medicine, 257, 111930. https://doi.org/10.1016/j.socscimed.2018.09.006
   PubMed Web of Science ®Google Scholar
• Shiloh, S., Peleg, S., & Nudelman, G. (2021). Vaccination against COVID-19: A longitudinal trans-theoretical study to determine factors that predict intentions and behavior. Annals of Behavioral Medicine, 56(4), 357–367. https://doi.org/10.1093/abm/kaab101
   Web of Science ®Google Scholar
• Valente, T. W. (2010). Social networks and health: Models, methods, and applications. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195301014.001.0001
   Google Scholar
• Valente, T. W., Fujimoto, K., Soto, D., Ritt-Olson, A., & Unger, J. B. (2013). A comparison of peer influence measures as predictors of smoking among predominately Hispanic/Latino high school adolescents. Journal of Adolescent Health, 52(3), 358–364. https://doi.org/10.1016/j.jadohealth.2012.06.014
   PubMed Web of Science ®Google Scholar
• Van Rossem, R., & Meekers, D. (2011). Perceived social approval and condom use with casual partners among youth in urban Cameroon. BMC Public Health, 11(1), 632. https://doi.org/10.1186/1471-2458-11-632
   PubMedGoogle Scholar
• Villalobos, A. V. K., Davis, C., Turner, M. M., Long, S., Hull, S., & Lapinski, M. K. (2021). Breastfeeding in context: African American women’s normative referents, salient identities, and perceived social norms. Health Education and Behavior, 48(4), 496–506. https://doi.org/10.1177/10901981211014445
   PubMed Web of Science ®Google Scholar
• Walter, N., Ball-Rokeach, S. J., Xu, Y., & Broad, G. M. (2018). Communication ecologies: Analyzing adoption of false beliefs in an information-rich environment. Science Communication, 40(5), 650–668. https://doi.org/10.1177/1075547018793427
   Web of Science ®Google Scholar
• Walter, N., Brooks, J. J., Saucier, C. J., & Suresh, S. (2021). Evaluating the impact of attempts to correct health misinformation on social media: A meta-analysis. Health Communication, 36(13), 1776–1784. https://doi.org/10.1080/10410236.2020.1794553
   PubMed Web of Science ®Google Scholar
• Walter, N., Murphy, S. T., Frank, L. B., & Ball-Rokeach, S. J. (2019). The power of brokerage: Case study of normative behavior, Latinas and cervical cancer. Communication Research, 46(5), 639–662. https://doi.org/10.1177/0093650217718655
   Web of Science ®Google Scholar
• Wen, M., Van Duker, H., & Olson, L. M. (2009). Social contexts of regular smoking in adolescence: Towards a multidimensional ecological model. Journal of Adolescence, 32(3), 671–692. https://doi.org/10.1016/j.adolescence.2008.06.008
   PubMed Web of Science ®Google Scholar
• World Health Organization. (2023). WHO coronavirus dashboard. https://covid19.who.int/
   Google Scholar
• Yugo, M., & Davidson, M. J. (2007). Connectedness within social contexts: The relation to adolescent health. Healthcare Policy | Politiques de Santé, 2(3), 47–55. https://doi.org/10.12927/hcpol.2007.18701
   Google Scholar