Top

Gepubliceerd in:

06-05-2022

The effects of social-media based social comparison information and similarity mindsets on COVID-19 vaccination uptake cognitions

Auteurs: Noelle K. Herzog, Harika Vasireddy, Dylan A. Drenner, Jason P. Rose

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 1-2/2023

Abstract

Vaccine hesitancy—delays in vaccine uptake when one is readily available—is an important public health issue. During the COVID-19 pandemic, the role of psychosocial factors in influencing cognitions and behaviors related to vaccine uptake have been examined. Using an online sample of unvaccinated U.S. adults (N = 300), we examined the influence of COVID-19-related social media-based comparison information (e.g., others’ attitudes about taking the vaccine)—as well as the moderating impact of (dis)similarity mindsets and indirect influence of affective associations, norm perceptions, and self-evaluations of efficacy—on vaccination uptake intentions. Participants reported higher intentions for vaccine uptake following exposure to cautious comparison models (e.g., those that engaged in health prevention behaviors, intended to get vaccinated) versus risky comparison models (e.g., those who did not engage in health prevention behaviors, did not intend to get vaccinated) and neutral comparison models and this effect was indirect through positive affective associations about taking the vaccine. There were no main or interactive effects of (dis)similarity mindsets. Understanding the psychosocial factors that influence health cognitions and behaviors in the context of an infectious disease pandemic will advance theoretical development and aid in creating interventions targeting vaccine uptake.

vorige artikel Scaling up the discovery of hesitancy profiles by identifying the framing of beliefs towards vaccine confidence in Twitter discourse

volgende artikel Reducing COVID-19 vaccine hesitancy among African Americans: the effects of narratives, character’s self-persuasion, and trust in science

Of note, from a Selective Accessibility Model perspective, one might expect no main effect of comparison model. However, we based H₁ off extant research related to exposure to social normative/comparison information in a vaccine context (Allen et al., 2009; Oraby et al., 2014; Palm et al., 2021). Findings support that exposure to a vaccine hesitancy (vs. uptake) norm was associated with lower (vs. higher) vaccine intentions and behaviors—evidence of assimilation effects (i.e., main effects of comparison model).

Note that participants also answered questions about future intentions to engage in COVID-19 related prevention behaviors (e.g., wearing masks, social distancing) and general beliefs, attitudes, and experiences related to COVID-19 (e.g., instrumental attitudes, risk perceptions; Ajzen, 2013; Rose & Edmonds, 2021; Tull et al., 2020). However, as these measures were not central to the thrust of this special issue, they are not described in detail here.

Given the role of political affiliation in COVID-19 vaccine uptake and other health prevention behaviors (Fridman et al., 2021; Grossman et al., 2020; Latkin et al., 2021), we additionally examined the moderating impact of political affiliation on our core results involving vaccine intentions, as well as how political affiliation might influence how similarly participants viewed the comparison target (based on condition). First, we submitted the perceived similarity to the comparison model to a 3 (Comparison Model: Cautious, Risky, or Neutral) X 2 (Mindset Priming: Similarity or Dissimilarity) X 3 (Political Affiliation: Republican, Independent, Democrat) between-subjects ANOVA. The main effect of political party affiliation was not significant (F = .42; p = .66). However, the comparison model X political affiliation interaction was significant, F(4, 281) = 12.67, p < .001, η_p² = .15. Specifically, the most apparent pattern of findings related to this interaction was that participants who identified as Democrat rated themselves as more similar to the cautious comparison model, whereas participants who identified as Republican rated themselves as more similar to the risky comparison model. This result is not overly surprising, given that we used political affiliation as an additional cue to the social media target’s attitudes and behaviors related to COVID-19. No other interactions of political affiliation with our core independent variables were significant (all Fs < .27, ps > .76). Second, we submitted VI to the same ANOVA. We found that participants who identified as Democrat had higher vaccination intentions than did participants who identified as Republican or Independent. However, and more importantly for our purposes, the interactions of political affiliation with our core independent variables were not significant. Taken together, these results suggest that political affiliation influenced how similar participants viewed the target person to themselves, but that this degree of similarity cannot account for our pattern of results for the vaccine intentions variable (due to the lack of comparable interaction effects involving political affiliation).

Abrahamse, W., & Steg, L. (2013). Social influence approaches to encourage resource conservation: A meta-analysis. Global Environmental Change, 23, 1773–1785. https://doi.org/10.1016/j.gloenvcha.2013.07.029CrossRef

Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action control: From cognition to behavior. Springer.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. https://doi.org/10.1016/0749-5978(91)90020-TCrossRef

Ajzen, I. (2013). Theory of planned behaviour questionnaire. Measurement Instrument Database for the Social Science, 2, 9.

Allen, J. D., Mohllajee, A. P., Shelton, R. C., Othus, M. K. D., Fontenot, H. B., & Hanna, R. (2009). Stage of adoption of the human papillomavirus vaccine among college women. Preventive Medicine, 48, 420–425. https://doi.org/10.1016/j.ypmed.2008.12.005CrossRefPubMed

Appel, H., Gerlach, A. L., & Crusius, J. (2016). The interplay between Facebook use, social comparison, envy, and depression. Current Opinion in Psychology, 9, 44–49. https://doi.org/10.1016/j.copsyc.2015.10.006CrossRef

Baden, L. R., El Sahly, H. M., Essink, B., Kotloff, K., Frey, S., Novak, R., Diemert, D., Spector, S. A., Rouphael, N., Creech, C. B., McGettigan, J., Khetan, S., Segall, N., Solis, J., Brosz, A., Fierro, C., Schwartz, H., Neuzil, K., Corey, L., & Zaks, T. (2021). Efficacy and safety of the mRNA-1273 SARS-CoV-2 vaccine. New England Journal of Medicine, 384, 403–416. https://doi.org/10.1056/NEJMoa2035389CrossRefPubMed

Béland, L.-P., Brodeur, A., Mikola, D., & Wright, T. (2020). The short-term economic consequences of Covid-19: Occupation tasks and mental health in canada (SSRN Scholarly Paper ID 3602430). Social science research network. https://papers.ssrn.com/abstract=3602430.

Bohner, G., Crow, K., Erb, H.-P., & Schwarz, N. (1992). Affect and persuasion: Mood effects on the processing of message content and context cues and on subsequent behaviour. European Journal of Social Psychology, 22, 511–530. https://doi.org/10.1002/ejsp.2420220602CrossRef

Brewer, N. T., & Fazekas, K. I. (2007). Predictors of HPV vaccine acceptability: A theory-informed, systematic review. Preventive Medicine, 45, 107–114. https://doi.org/10.1016/j.ypmed.2007.05.013CrossRefPubMed

Bruchmann, K. (2017). Compared to what? The importance of control groups in social comparison research. Basic and Applied Social Psychology, 39, 91–100. https://doi.org/10.1080/01973533.2017.1281808CrossRef

Bruns, A., Enli, G., Skogerbo, E., Larsson, A. O., & Christensen, C. (2015). The Routledge companion to social media and politics. Routledge.CrossRef

Butler, R. (2016). Vaccine Hesitancy: What it means and what we need to know in order to tackle it. Global Vaccine and Immunization Research Forum, Johannesburg, South Africa. https://www.who.int/immunization/research/forums_and_initiatives/1_RButler_VH_Threat_Child_Health_gvirf16.pdf.

Butler, R., & MacDonald, N. E. (2015). Diagnosing the determinants of vaccine hesitancy in specific subgroups: The guide to Tailoring Immunization Programmes (TIP). Vaccine, 33, 4176–4179. https://doi.org/10.1016/j.vaccine.2015.04.038CrossRefPubMed

Buunk, B. P., Schaufeli, W. B., & Ybema, J. F. (1994). Burnout, uncertainty, and the desire for social comparison among nurses. Journal of Applied Social Psychology, 24, 1701–1718. https://doi.org/10.1111/j.1559-1816.1994.tb01570.xCrossRef

Casper, E. S. (2007). The theory of planned behavior applied to continuing education for mental health professionals. Psychiatric Services, 58, 1324–1329. https://doi.org/10.1176/ps.2007.58.10.1324CrossRefPubMed

CDC. (2020a). Coronavirus disease 2019 (COVID-19). Centers for disease control and prevention. https://www.cdc.gov/coronavirus/2019-ncov/science/about-epidemiology/identifying-source-outbreak.html.

CDC. (2020b). COVID data tracker. Centers for disease control and prevention. https://covid.cdc.gov/covid-data-tracker.

CDC. (2021a). Understanding how COVID-19 vaccines work. Centers for disease control and prevention. https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/how-they-work.html.

CDC. (2021b). COVID-19 Vaccination considerations for persons with underlying medica. Centers for disease control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/underlying-conditions.html.

Chen, L., Zhang, Y., Young, R., Wu, X., & Zhu, G. (2021). Effects of vaccine-related conspiracy theories on chinese young adults’ perceptions of the HPV vaccine: An experimental study. Health Communication, 36, 1343–1353. https://doi.org/10.1080/10410236.2020.1751384CrossRefPubMed

Cialdini, R. B., Kallgren, C. A., & Reno, R. R. (1991). A focus theory of normative conduct: A theoretical refinement and reevaluation of the role of norms in human behavior. In M. P. Zanna (Ed.), Advances in Experimental Social Psychology. Academic Press.

Cinelli, M., Quattrociocchi, W., Galeazzi, A., Valensise, C. M., Brugnoli, E., Schmidt, A. L., Zola, P., Zollo, F., & Scala, A. (2020). The COVID-19 social media infodemic. Scientific Reports, 10, 16598. https://doi.org/10.1038/s41598-020-73510-5CrossRefPubMedPubMedCentral

Clemens, K. S., Matkovic, J., Faasse, K., & Geers, A. L. (2021). The role of attitudes, affect, and income in predicting COVID-19 behavioral intentions. Frontiers in Psychology, 11, 3654. https://doi.org/10.3389/fpsyg.2020.567397CrossRef

D’Argembeau, A., Renaud, O., & der Linden, M. V. (2011). Frequency, characteristics and functions of future-oriented thoughts in daily life. Applied Cognitive Psychology, 25, 96–103. https://doi.org/10.1002/acp.1647CrossRef

Dong, E., Du, H., & Gardner, L. (2020). An interactive web-based dashboard to track COVID-19 in real time. The Lancet Infectious Diseases, 20, 533–534. https://doi.org/10.1016/S1473-3099(20)30120-1CrossRefPubMedPubMedCentral

Downs, D., & Hausenblas, H. (2005). The theories of reasoned action and planned behavior applied to exercise: A meta-analytic update. Journal of Physical Activity and Health, 2, 76–97.CrossRef

Eberhardt, J., & Ling, J. (2021). Predicting COVID-19 vaccination intention using protection motivation theory and conspiracy beliefs. Vaccine, 39, 6269–6275. https://doi.org/10.1016/j.vaccine.2021.09.010CrossRefPubMedPubMedCentral

Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7, 117–140. https://doi.org/10.1177/001872675400700202CrossRef

Fridman, A., Gershon, R., & Gneezy, A. (2021). COVID-19 and vaccine hesitancy: A longitudinal study. PLoS ONE, 16, e0250123. https://doi.org/10.1371/journal.pone.0250123CrossRefPubMedPubMedCentral

Gargano, L. M., Painter, J. E., Sales, J. M., Morfaw, C., Jones, L. M., Murray, D., Wingood, G. M., DiClemente, R. J., & Hughes, J. M. (2011). Seasonal and 2009 H1N1 influenza vaccine uptake, predictors of vaccination, and self-reported barriers to vaccination among secondary school teachers and staff. Human Vaccines, 7, 89–95. https://doi.org/10.4161/hv.7.1.13460CrossRefPubMedPubMedCentral

Geers, A. L., Van Wasshenova, E., Murray, A. B., Mahas, R., Fahlman, M., & Boardley, D. (2017). Affective associations as predictors of health behavior in urban minority youth. Health Psychology, 36, 996–1005. https://doi.org/10.1037/hea0000546CrossRefPubMed

Gerber, J., Wheeler, L., & Suls, J. (2018). A social comparison theory meta-analysis 60+ years on. Psychological Bulletin, 144, 177–197. https://doi.org/10.1037/bul0000127CrossRefPubMed

Godin, G., & Kok, G. (1996). The theory of planned behavior: A review of its applications to health-related behaviors. American Journal of Health Promotion, 11, 87–98. https://doi.org/10.4278/0890-1171-11.2.87CrossRefPubMed

Gross, T. (2021). Dr. Fauci on vaccinations and biden’s “Refreshing” approach To COVID-19. NPR. https://www.npr.org/sections/health-shots/2021/02/04/963943156/fauci-on-vaccinations-and-bidens-refreshing-approach-to-covid-19.

Grossman, G., Kim, S., Rexer, J. M., & Thirumurthy, H. (2020). Political partisanship influences behavioral responses to governors’ recommendations for COVID-19 prevention in the United States. Proceedings of the National Academy of Sciences, 117, 24144–24153. https://doi.org/10.1073/pnas.2007835117CrossRef

Guay, F., Ratelle, C. F., Roy, A., & Litalien, D. (2010). Academic self-concept, autonomous academic motivation, and academic achievement: Mediating and additive effects. Learning and Individual Differences, 20, 644–653. https://doi.org/10.1016/j.lindif.2010.08.001CrossRef

Hamilton, J. (1995). Needle phobia: A neglected diagnosis. Journal of Family Practice, 41, 169–182.PubMed

Harper, C. A., Satchell, L. P., Fido, D., & Latzman, R. D. (2020). Functional fear predicts public health compliance in the COVID-19 pandemic. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-020-00281-5CrossRefPubMedPubMedCentral

Hausenblas, H. A., Carron, A. V., & Mack, D. E. (1997). Application of the theories of reasoned action and planned behavior to exercise behavior: A meta-analysis. Journal of Sport and Exercise Psychology, 19, 36–51. https://doi.org/10.1123/jsep.19.1.36CrossRef

Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis (2nd ed.). Guilford Publications.

Hayes, A. F. (2018). Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation. Communication Monographs, 85, 4–40. https://doi.org/10.1080/03637751.2017.1352100CrossRef

Hayes, A. F., & Preacher, K. J. (2014). Statistical mediation analysis with a multicategorical independent variable. British Journal of Mathematical and Statistical Psychology, 67, 451–470. https://doi.org/10.1111/bmsp.12028CrossRefPubMed

Holden, G. (1992). The relationship of self-efficacy appraisals to subsequent health related outcomes. Social Work in Health Care, 16, 53–93. https://doi.org/10.1300/J010v16n01_05CrossRef

Hussain, W. (2020). Role of Social Media in COVID-19 Pandemic. The International Journal of Frontier Sciences, 4, 59–60. https://doi.org/10.37978/tijfs.v4i2.144CrossRef

Judge, T. A., Erez, A., Bono, J. E., & Thoresen, C. J. (2003). The core self-evaluations scale: Development of a measure. Personnel Psychology, 56, 303–331. https://doi.org/10.1111/j.1744-6570.2003.tb00152.xCrossRef

Kiviniemi, M. T., Jandorf, L., & Erwin, D. O. (2014). Disgusted, embarrassed, annoyed: Affective associations relate to uptake of colonoscopy screening. Annals of Behavioral Medicine, 48, 112–119. https://doi.org/10.1007/s12160-013-9580-9CrossRefPubMed

Kiviniemi, M. T., Voss-Humke, A. M., & Seifert, A. L. (2007). How do i feel about the behavior? The interplay of affective associations with behaviors and cognitive beliefs as influences on physical activity behavior. Health Psychology, 26, 152–158. https://doi.org/10.1037/0278-6133.26.2.152CrossRefPubMed

Klasko-Foster, L. B., Przybyla, S., Orom, H., Gage-Bouchard, E., & Kiviniemi, M. T. (2020). The influence of affect on HPV vaccine decision making in an HPV vaccine naïve college student population. Preventive Medicine Reports, 20, 101195. https://doi.org/10.1016/j.pmedr.2020.101195CrossRefPubMedPubMedCentral

Klassen, R. M. (2004). A cross-cultural investigation of the efficacy beliefs of south asian immigrant and anglo canadian nonimmigrant early adolescents. Journal of Educational Psychology, 96, 731–742. https://doi.org/10.1037/0022-0663.96.4.731CrossRef

Kulik, J. A., & Mahler, H. I. M. (2000). social comparison, affiliation, and emotional contagion under threat. In J. Suls & L. Wheeler (Eds.), Handbook of social comparison: Theory and research. springer.

Latkin, C. A., Dayton, L., Yi, G., Konstantopoulos, A., & Boodram, B. (2021). Trust in a COVID-19 vaccine in the U.S.: A social-ecological perspective. Social Science & Medicine (1982), 270, 113684. https://doi.org/10.1016/j.socscimed.2021.113684CrossRef

Lawton, R., Conner, M., & McEachan, R. (2009). Desire or reason: Predicting health behaviors from affective and cognitive attitudes. Health Psychology, 28, 56–65. https://doi.org/10.1037/a0013424CrossRefPubMed

Leary, M. R., Tchividijian, L. R., & Kraxberger, B. E. (1994). Self-presentation can be hazardous to your health: Impression management and health risk. Health Psychology, 13, 461–470. https://doi.org/10.1037/0278-6133.13.6.461CrossRefPubMed

Lewallen, J., & Behm-Morawitz, E. (2016). Pinterest or thinterest?: Social comparison and body image on social media. Social Media + Society, 2, 2056305116640559. https://doi.org/10.1177/2056305116640559CrossRef

Li, L., Zhang, Q., Wang, X., Zhang, J., Wang, T., Gao, T.-L., Duan, W., Tsoi, K. K., & Wang, F.-Y. (2020). Characterizing the propagation of situational information in social media during COVID-19 epidemic: A case study on weibo. IEEE Transactions on Computational Social Systems, 7, 556–562. https://doi.org/10.1109/TCSS.2020.2980007CrossRef

Litman, L., Robinson, J., & Abberbock, T. (2017). TurkPrime.com: A versatile crowdsourcing data acquisition platform for the behavioral sciences. Behavior Research Methods, 49, 433–442. https://doi.org/10.3758/s13428-016-0727-zCrossRefPubMed

Magnan, S. (2017). Social determinants of health for health care: Five plus five. NAM Perspectives. https://doi.org/10.31478/201710cCrossRef

Mann, C. (2020). Real and financial lenses to assess the economic consequences of COVID-19. Economics in the Time of COVID-19, 81, 85.

Murray, A. B., Boardley, D., Wasshenova, E. V., Mahas, R., Kiviniemi, M. T., Tipton, J., & Geers, A. L. (2020). Affective determinants of physical activity in cancer survivors. Psychology & Health, 35, 593–612. https://doi.org/10.1080/08870446.2019.1658761CrossRef

Mussweiler, T. (2001). ‘Seek and ye shall find’: Antecedents of assimilation and contrast in social comparison. European Journal of Social Psychology, 31, 499–509. https://doi.org/10.1002/ejsp.75CrossRef

Mussweiler, T., & Ockenfels, A. (2013). Similarity increases altruistic punishment in humans. Proceedings of the National Academy of Sciences, 110, 19318–19323. https://doi.org/10.1073/pnas.1215443110CrossRef

Mussweiler, T., Rüter, K., & Epstude, K. (2004). The ups and downs of social comparison: Mechanisms of assimilation and contrast. Journal of Personality and Social Psychology, 87, 832–844. https://doi.org/10.1037/0022-3514.87.6.832CrossRefPubMed

Naeem, S. B., & Bhatti, R. (2020). The Covid-19 ‘infodemic’: A new front for information professionals. Health Information & Libraries Journal, 37, 233–239. https://doi.org/10.1111/hir.12311CrossRef

Oraby, T., Thampi, V., & Bauch, C. T. (2014). The influence of social norms on the dynamics of vaccinating behaviour for paediatric infectious diseases. Proceedings of the Royal Society B: Biological Sciences, 281, 20133172. https://doi.org/10.1098/rspb.2013.3172CrossRefPubMedCentral

Palm, R., Bolsen, T., & Kingsland, J. T. (2021). The effect of frames on COVID-19 vaccine resistance. Frontiers in Political Science, 3, 41. https://doi.org/10.3389/fpos.2021.661257CrossRef

Pan, W., & Peña, J. (2021). A replication and expansion of the exposure effects of online model photos and social comparison goals on planned behaviors and self-efficacy to lose weight. New Media & Society. https://doi.org/10.1177/14614448211055367CrossRef

Polack, F. P., Thomas, S. J., Kitchin, N., Absalon, J., Gurtman, A., Lockhart, S., Perez, J. L., Pérez Marc, G., Moreira, E. D., Zerbini, C., Bailey, R., Swanson, K. A., Roychoudhury, S., Koury, K., Li, P., Kalina, W. V., Cooper, D., Frenck, R. W., Hammitt, L. L., & Gruber, W. C. (2020). Safety and efficacy of the BNT162b2 mRNA Covid-19 vaccine. New England Journal of Medicine, 383, 2603–2615. https://doi.org/10.1056/NEJMoa2034577CrossRefPubMed

Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40, 879–891. https://doi.org/10.3758/BRM.40.3.879CrossRefPubMed

Puri, N., Coomes, E. A., Haghbayan, H., & Gunaratne, K. (2020). Social media and vaccine hesitancy: New updates for the era of COVID-19 and globalized infectious diseases. Human Vaccines & Immunotherapeutics, 16, 2586–2593. https://doi.org/10.1080/21645515.2020.1780846CrossRef

Rivas, D. R. Z., Jaldin, M. L. L., Canaviri, B. N., Escalante, L. F. P., Fernández, A. M. C. A., & Ticona, J. P. A. (2021). Social media exposure, risk perception, preventive behaviors and attitudes during the COVID-19 epidemic in La Paz, Bolivia: A cross sectional study. PLoS ONE, 16, e0245859. https://doi.org/10.1371/journal.pone.0245859CrossRef

Rofé, Y. (1984). Stress and affiliation: A utility theory. Psychological Review, 91, 235–250. https://doi.org/10.1037/0033-295X.91.2.235CrossRef

Rose, J. P., & Aspiras, O. (2020). “To hope was to expect”: The impact of perspective taking and forecast type on wishful thinking. Journal of Behavioral Decision Making, 33, 411–426. https://doi.org/10.1002/bdm.2170CrossRef

Rose, J. P., & Edmonds, K. A. (2021). Social comparisons for following health recommendations and their relation to worry and intentions during COVID-19. European Journal of Health Psychology. https://doi.org/10.1027/2512-8442/a000080CrossRef

Ruiz, J. B., & Bell, R. A. (2021). Predictors of intention to vaccinate against COVID-19: Results of a nationwide survey. Vaccine, 39, 1080–1086. https://doi.org/10.1016/j.vaccine.2021.01.010CrossRefPubMedPubMedCentral

Schachter, S. (1959). The psychology of affiliation: Experimental studies of the sources of gregariousness. Stanford Univercity Press.

Scherr, C. L., Jensen, J. D., & Christy, K. (2017). Dispositional pandemic worry and the health belief model: Promoting vaccination during pandemic events. Journal of Public Health, 39, e242–e250. https://doi.org/10.1093/pubmed/fdw101CrossRefPubMed

Schokker, M. C., Keers, J. C., Bouma, J., Links, T. P., Sanderman, R., Wolffenbuttel, B. H. R., & Hagedoorn, M. (2010). The impact of social comparison information on motivation in patients with diabetes as a function of regulatory focus and self-efficacy. Health Psychology, 29, 438–445. https://doi.org/10.1037/a0019878CrossRefPubMed

Schunk, D. H. (1984). Social comparison as a vicarious source of self-efficacy information. https://eric.ed.gov/?id=ED245840.

Sheeran, P., Conner, M., & Norman, P. (2001). Can the theory of planned behavior explain patterns of health behavior change? Health Psychology, 20, 12–19. https://doi.org/10.1037/0278-6133.20.1.12CrossRefPubMed

Sheeran, P., Maki, A., Montanaro, E., Avishai-Yitshak, A., Bryan, A., Klein, W., Miles, E., & Rothman, A. (2016). The impact of changing attitudes, norms, and self-efficacy on health-related intentions and behaviour: A meta-analysis. Health Psychology, 35, 1178–1188.CrossRefPubMed

Sheeran, P., & Taylor, S. (1999). Predicting intentions to use condoms: A meta-analysis and comparison of the theories of reasoned action and planned behavior1. Journal of Applied Social Psychology, 29, 1624–1675. https://doi.org/10.1111/j.1559-1816.1999.tb02045.xCrossRef

Srivastava, K. C., Shrivastava, D., Chhabra, K. G., Naqvi, W., & Sahu, A. (2020). Facade of media and social media during Covid-19: A review. International Journal of Research in Pharmaceutical Sciences, 11, 142–149. https://doi.org/10.26452/ijrps.v11iSPL1.2288CrossRef

Stanton, A. L., Danoff-Burg, S., Cameron, C. L., Snider, P. R., & Kirk, S. B. (1999). Social comparison and adjustment to breast cancer: An experimental examination of upward affiliation and downward evaluation. Health Psychology, 18, 151–158. https://doi.org/10.1037/0278-6133.18.2.151CrossRefPubMed

Tankard, M., & Paluck, E. (2016). Norm perception as a vehicle for social change. Social Issues and Policy Review, 10, 181–211.CrossRef

Thompson, M. G., Gaglani, M. J., Naleway, A., Ball, S., Henkle, E. M., Sokolow, L. Z., Brennan, B., Zhou, H., Foster, L., Black, C., Kennedy, E. D., Bozeman, S., Grohskopf, L. A., & Shay, D. K. (2012). The expected emotional benefits of influenza vaccination strongly affect pre-season intentions and subsequent vaccination among healthcare personnel. Vaccine, 30, 3557–3565. https://doi.org/10.1016/j.vaccine.2012.03.062CrossRefPubMedPubMedCentral

Topa, G., & Moriano, J. A. (2010). Theory of planned behavior and smoking: Meta-analysis and SEM model. Substance Abuse and Rehabilitation, 1, 23–33. https://doi.org/10.2147/SAR.S15168CrossRefPubMedPubMedCentral

Tull, M. T., Edmonds, K. A., Scamaldo, K. M., Richmond, J. R., Rose, J. P., & Gratz, K. L. (2020). Psychological outcomes associated with stay-at-home orders and the perceived impact of COVID-19 on daily life. Psychiatry Research, 289, 113098. https://doi.org/10.1016/j.psychres.2020.113098CrossRefPubMedPubMedCentral

Vogel, E. A., Rose, J. P., Aspiras, O. G., Edmonds, K. A., & Gallinari, E. F. (2020). Comparing comparisons: Assimilation and contrast processes and outcomes following social and temporal comparison. Self and Identity, 19, 629–649. https://doi.org/10.1080/15298868.2019.1647278CrossRef

Vrugt, A. (1994). Perceived self-efficacy, social comparison, affective reactions and academic performance. British Journal of Educational Psychology, 64, 465–472. https://doi.org/10.1111/j.2044-8279.1994.tb01117.xCrossRefPubMed

Wake, A. D. (2021). The willingness to receive COVID-19 vaccine and its associated factors: “Vaccination refusal could prolong the war of this pandemic” – A systematic review. Risk Management and Healthcare Policy, 14, 2609–2623. https://doi.org/10.2147/RMHP.S311074CrossRefPubMedPubMedCentral

Williams, D. M., Rhodes, R. E., & Conner, M. T. (2018). Affective determinants of health behavior. Oxford University Press.CrossRef

Windschitl, P. D., Smith, A. R., Rose, J. P., & Krizan, Z. (2010). The desirability bias in predictions: Going optimistic without leaving realism. Organizational Behavior and Human Decision Processes, 111, 33–47. https://doi.org/10.1016/j.obhdp.2009.08.003CrossRef

Winter, S., Metzger, M. J., & Flanagin, A. J. (2016). Selective use of news cues: A multiple-motive perspective on information selection in social media environments. Journal of Communication, 66, 669–693. https://doi.org/10.1111/jcom.12241CrossRef

Wood, J. V. (1996). What is social comparison and how should we study it? Personality and Social Psychology Bulletin, 22, 520–537. https://doi.org/10.1177/0146167296225009CrossRef

World Health Organization. (2021). Coronavirus disease (COVID-19) situation reports. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports.

Zeoob. (2021). Generate Fb post, comments—Facebook post generator | Zeoob. https://zeoob.com/generate-facebook-status-post/.

Titel: The effects of social-media based social comparison information and similarity mindsets on COVID-19 vaccination uptake cognitions
Auteurs: Noelle K. Herzog
Harika Vasireddy
Dylan A. Drenner
Jason P. Rose
Publicatiedatum: 06-05-2022
Uitgeverij: Springer US
Gepubliceerd in: Journal of Behavioral Medicine / Uitgave 1-2/2023
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-022-00321-6

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Log in om toegang te krijgen

Andere artikelen Uitgave 1-2/2023

HPV vaccine delay and refusal among unvaccinated Mexican American young adult women: a qualitative investigation of Mexican-born and US-born HPV vaccine decision narratives

Using Behavioral Science to Address COVID-19 Vaccine Hesitancy Among Cancer Survivors: Communication Strategies and Research Opportunities

The mediating role of scientifical-medical satisfaction between COVID-19 conspiracy beliefs and vaccine confidence: a two-waves structural equation model

COVID-19 vaccine uptake and attitudes towards mandates in a nationally representative U.S. sample

College students’ influenza vaccine hesitation: a reasoned action investigation with quantitative and qualitative data

Has the COVID-19 pandemic affected general vaccination hesitancy? Findings from a national study