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Summary ALL articles for part 1 of Risk and Health Communication

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ALL articles for part 1 of Risk and Health Communication summarized in one document, ready for you :) College 1: Fincet, A., et al. (2020). Effective health communication –a key factor in fighting the COVID-19 pandemic. Editorial Patient Education and Counseling, 103, : 10.1016/.2020.03.027 College 2: Conner (2010). Cognitive determinants of health behavior. In A. Steptoe (Ed.), Handbook of behavioral medicine: Methods and applications(pp. 19-30). New York: S: 10.1007/978-0-387-09488-5_2 Fishbein, M., & Yzer, M.C. (2003). Using theory to design effective health behavior interventions. Communication Theory, 13, : 10.1111/00287.x Robbins, R., & Niederdeppe, J. (2015). Using the integrative model of behavioral prediction to identify promising message strategies to promote healthy sleep behavior among college students. Health Communication, 30, : 10.1080/.2013. College 3: Gollwitzer, P.M., & Oettingen, G. (2013). Implementation intentions. In M. Gellman, & J.R. Turner (Eds.), Encyclopedia of behavioralmedicine(pp. ). New York: Springer-Verlag. Link: Webb, T.L., & Sheeran, P. (2007). How do implementation intentions promote goal attainment? A test of component processes. Journal of Experimental Social Psychology, 43, 295-302. doi: 10.1016/.2006.02.001 Milne, S., Orbell, S., & Sheeran, P. (2002). Combiningmotivational and volitional interventions to promote exercise participation: Protection motivation theory and implementation intentions. British Journal of Health Psychology, 7, 163-184. College 4: Berry, D.C. (2004). Communicating probabilistic information. In: Risk, communication and health psychology(Chapter 3, pp. 27-39). Maidenhead, UK: Open University Natter, H.M., & Berry, D.C. (2005). Effects of presenting the baseline risk when communicating absolute and relative risk reductions. Psychology, Health & Medicine, 10, 326-334. doi: 10.1080/ Shepperd, J.A., Waters, E.A., Weinstein, N.D., & Klein, W.M.P. (2015). A primer on unrealistic optimism. Current Directions in Psychological Science, 24, 232-237. doi: 10.1177/ Dillard, A.J., McCaul, K.D., & Klein, W.M.P. (2006). Unrealistic optimism in smokers: Implications for smoking myth endorsement and self-protective motivation. Journal of Health Communication, 11, 93-102. doi: 10.1080/ College 5: Epton, T., & Harris, P.R. (2008). Self-affirmation promotes health behavior change. Health Psychology,27, 746-752. doi: 10.1037/.27.6.746 Jessop, D.C., Simmonds, L.V., & Sparks, P. (2009). Motivational and behavioural consequences of self-affirmationinterventions: A study of sunscreen use among women. Psychology and Health, 24, 529-544. doi: 10.1080/ Schüz, B., Cooke, R., Schüz, N., & Van Koningsbruggen, G.M. (2017). Self-affirmation interventions to change health behaviors. In L. Little, E. Sillence, & A. Joinson (Eds.), Behavior Change Research and Theory: Psychological and Technological Perspectives(pp. 87-114). London: Elsevier. doi: 10.1016/B978-0-12--8.00006-2 *preprint van dit hoofdstuk wordt beschikbaar gemaakt via student-assistent/ *preprint of this chapter will be made available through student assistant College 6: Mann, T., Sherman, D., & Updegraff, J. (2004). Dispositional motivations and message framing: A test of the congruency hypothesis in college students. Health Psychology, 23, 330-334. doi: 10.1037/.23.3.330 Rothman, A.J., Bartels, R.D., Wlaschin, J., & Salovey, P. (2006). The strategic use of gain-and loss-framedmessages to promote healthy behavior: How theory can inform practice. Journal of Communication,56, S202-S220 Rothman, A.J., Martino, S.C., Bedell, B.T., Detweiler, J.B., & Salovey, P. (1999). The systematic influence of gain-and loss-framed messages on interest in and use of differtent types of health behavior. Personality and Social Psychology Bulletin, 25, . doi: 10.1177/ College 7: Bell, R.A., McGlone, M.S., Dragojevic, M. (2014) Bacteria as bullies: Effects of linguistic agency assignment in health message. Journal of Health Communication, 19,340-358. doi: 10.1080/.2013. Graaf, A., Sanders, J., Hoeken, J.A.L. (2016). Characteristics of narrative interventions and health effects: A review of the content, form, and context of narratives in health-related narrative persuasion research. Review of Communication Research, 4, 88 –131. doi: 10.12840/issn..2016.04.01.011 (als literatuur bij dit college geldt: alleen pagina’s 88 –112 De Wit, J. B. F., Das, E., & Vet, R. (2008). What works best: Objective statistics or a personal testimonial? An assessment of the persuasive effects of different types of message evidence on risk perception. Health Psychology, 27, : 10.1037/.27.1.110 •O’Mally, A.K., & Worrell, T.R. (2014). Statistics or stories, black or white? Examining influences of African American organ donation. The Howard Journal of Communications, 25, 98–114. doi: 10.1080/.2014. College 8: Koch, E.J. (2014). How does anticipated regret influence health and safety decisions? A literature review.Basic and applied social psychology,36, 397-412. Mukherjee, A., & Dubé, L. (2012) Mixing emotions: The use of humor in fear advertising.Journal of Consumer Behaviour. 11, 147–161. doi: 10.1002/cb.389 Ruiter, R. A., Kessels, L. T., Peters, G. J. Y., & Kok, G. (2014). Sixty years of fear appeal research: Current state of the evidence. International Journal of Psychology, 49(2), 63-70 Shen,L. (2015). Targeting smokers with empathy appeal antismoking public service announcements: A field experiment. Journal of Health Communication, 20, : 10.1080/.2015. College 9: Hendriks, H., Van den putte, B., De Bruijn, G-J., & De Vreese, C.H. (2014). Predicting health: The interplay between interpersonal communication and healthcampaigns. Journalof Health Communication, 19, : 10.1080/.2013. Hendriks, H., De Bruijn, G-J., & Van den Putte, B. (2012). Talking about alcohol consumption: Health campaigns, conversational valence, and binge drinking intentions. British Journal of Health Psychology, 17, 843-853. doi: 10.1111/j..2012.02080.x Hendriks, H., Van den Putte, B., & De Bruijn, G-J. (2014).Changing the conversation: The influence of emotions on conversational valence and alcoholconsumption. Prevention Science, 15, 684-693. doi: 10.1007/s College 10: Bauman, A., Smith, B.J., Maibach, E.W., & Reger-Nash, B. (2006). Evaluation of mass media campaigns for physical activity. Evaluation and Program Planning, 29, 312-322. doi: 10.1016/rogplan.2005.12.004 Noar, S.M. (2009). Challenges in evaluating health communication campaigns: Defining the issues. Communication Methods and Measures, 3, 1-11. doi: 10.1080/ Brug, J., Tak, N.I., & Te Velde, S.J. (2010). Evaluation of nationwide health promotion campaigns in the Netherlands: An exploration of practices, wishes and opportunities. Health Promotion International, 26, 244-254. doi: 10.1093/heapro/daq058

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Voorbeeld van de inhoud

LITERATURE RISK & HEALTH COMMUNICATION

BLOK 1
Effective Health Communication – A Key Factor in Fighting the Covid-
19 pandemic

Elements that are important in determining how to communicate health information to the
public effectively:
1) Declare openly and honestly what is (un)known and stick to the facts as much as
possible. Facts can be temporarily.
2) Information must be consistent and specific, the number of spokespersons must be
limited.
3) Demonstrate the ability to make decisions in a situation characterized by uncertainty
with honesty and confidence.
4) Acknowledge emotions, by demonstrating concern and by acknowledging the impact
of the situation for the individual and their lives.

There is an intention-behavior gap; knowing is not the same as doing.

Recommendations regarding behavior change:
1) Create a mental model about how contamination works and how this can be
prevented.
2) Real intervention in the environment.
3) The attitude and behavior of leaders at all levels are important.
4) Change in self-regulation of behavior.

,Cognitive Determinants of Health Behavior

Social cognition models (SCM)
Cognitions that distinguish between those performing and not performing behaviors.
Cognitions that intervene between observable stimuli and behavior in real-world situations.

Self-regulation: mental and behavioral processes by which people enact their self-
conceptions, revise their behavior or alter the environment so as to bring about outcomes in
line with their self-perceptions and personal goals.
 re-evaluation of beliefs, goal setting and goal-directed behavior.
1) Motivational phase
a. Costs and benefits are considered in order to choose between goals and
behaviors.
2) Volitional phase
a. Planning and action directed toward achieving the set goal pre-dominate.

The health belief model (HBM)
Theory of SCM

Health behavior is determined by:
1) Perceptions of illness threat
a. Perceived susceptibility of the individual to the illness.
i. E.g., how likely am I to get ill?
b. Perceived severity of the consequences of the illness for the individual.
i. E.g., how serious would the illness be?
2) Evaluation of behaviors to counteract this threat.
a. Consideration of both the potential benefits of and barriers/costs to action.
 individuals are most likely to follow a particular health action if they believe themselves
to be susceptible to a particular condition which they also consider to be serious and believe
that the benefits outweigh the costs of the action taken to counteract the health threat.




 Cues to action
o Include a diverse range of triggers to the individual taking action which may
be internal or external to the individual.
 Cues to health motivation
o Stable differences between individuals in the value they attach to their health
and their propensity to be motivated to look after their health.

, Protection motivation theory
Extension of HBM

The primary determinant of performing a health behavior is protection motivation or
intention to perform a health behavior.
1) Threat appraisal
a. Consideration of perceptions of susceptibility to the illness and severity of the
health threat in a very similar way to HBM.
2) Coping appraisal
a. The process of assessing the behavioral alternatives which might diminish the
threat.
i. Individuals’ expectancy that carrying out a behavior can remove the
threat (action-outcome efficacy).
ii. Belief in one’s capability to successfully execute the recommended
courses of action (self-efficacy).
 adaptive or maladaptive responses.

Theory of planned behavior (TPB)
Understanding health behaviors; specifies factors that determine the decision to perform a
behavior.
The key determinants of behavior are intention to engage in that behavior and perceived
behavioral control over that behavior.

Intention is determined by:
1) Attitudes
a. Overall evaluation of the behavior by the individual as positive/negative.
b. Beliefs about the perceived outcomes of a behavior.
c. E.g., how likely is this outcome.
2) Subjective norms
a. Person’s beliefs about whether significant others think he/she should engage
in the behavior.
b. Motivation to comply with each salient other on this issue.
c. E.g., would my best friend want me to do this?
3) Perceived behavioral control
a. Influence’s behavior and intentions, we don’t do things we don’t think we can
do.
b. Control beliefs whether one has access to the necessary resources and
opportunities to perform the behavior successfully.
c. Internal and external factors.
 expectancy-value framework.

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