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Gepubliceerd in: Journal of Behavioral Medicine 3/2018

13-10-2017

Combining risk communication strategies to simultaneously convey the risks of four diseases associated with physical inactivity to socio-demographically diverse populations

Auteurs: Eva Janssen, Robert A. C. Ruiter, Erika A. Waters

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 3/2018

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Abstract

A single risk factor can increase the risk of developing multiple diseases, but most risk communication research has been conducted in the context of a single disease. We explored which combination of three recommended risk communication strategies is most effective in simultaneously conveying risk estimates of four diseases associated with physical inactivity: colon cancer, stroke, diabetes, and heart disease. Participants (N = 1161, 50% no college experience, 50% racial/ethnic minority) were shown hypothetical risk estimates for each of the four diseases. All four diseases were placed at varying heights on 1 of 12 vertical bar charts (i.e., “risk ladders”) to indicate their respective probabilities. The risk ladders varied in a 2 (risk reduction information: present/absent) × 2 (numerical format: words/words and numbers) × 3 (social comparison information: none/somewhat higher than average/much higher than average) full factorial design. Participants were randomly assigned to view one of the risk ladders and then completed a questionnaire assessing message comprehension, message acceptance, physical activity-related risk and efficacy beliefs, and physical activity intentions. Higher message acceptance was found among (1) people who received risk reduction information versus those who did not (p = .01), and (2) people who did not receive social comparison information versus those told that they were at higher than average risk (p = .03). Further, absolute cognitive perceived risk of developing “any of the diseases shown in the picture” was higher among people who did not receive social comparison information (p = .03). No other main effects and only very few interactions with demographic variables were found. Combining recommended risk communication strategies did not improve or impair key cognitive or affective precursors of health behavior change. It might not be necessary to provide people with extensive information when communicating risk estimates of multiple diseases.
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The original intent was to show participants either no social comparison information, information that they were at lower than average risk, or information that they were at higher than average risk. However, an error resulted in participants who should have been assigned to the lower than average condition instead being shown information that they were at somewhat higher than average risk. We collapsed the two higher than average conditions into 1 “higher than average” category, resulting in 2 social comparison conditions (i.e. absent/higher than average).
 
Literatuur
go back to reference Abraham, C., & Sheeran, P. (2004). Deciding to exercise: The role of anticipated regret. British Journal of Health Psychology, 9, 269–278.CrossRefPubMed Abraham, C., & Sheeran, P. (2004). Deciding to exercise: The role of anticipated regret. British Journal of Health Psychology, 9, 269–278.CrossRefPubMed
go back to reference Barlas, F. M., & Thomas, R. K. (2017, May). Good questionnaire design: Best practices in the mobile era. Paper presented at American Association for Public Opinion Research Conference, New Orleans. Barlas, F. M., & Thomas, R. K. (2017, May). Good questionnaire design: Best practices in the mobile era. Paper presented at American Association for Public Opinion Research Conference, New Orleans.
go back to reference Barnes, R., Giles-Corti, B., Bauman, A., Rosenberg, M., Bull, F. C., & Leavy, J. E. (2013). Does neighbourhood walkability moderate the effects of mass media communication strategies to promote regular physical activity? Annals of Behavioral Medicine, 45, 86–94.CrossRef Barnes, R., Giles-Corti, B., Bauman, A., Rosenberg, M., Bull, F. C., & Leavy, J. E. (2013). Does neighbourhood walkability moderate the effects of mass media communication strategies to promote regular physical activity? Annals of Behavioral Medicine, 45, 86–94.CrossRef
go back to reference Brennan, E., Durkin, S. J., Cotter, T., Harper, T., & Wakefield, M. A. (2011). Mass media campaigns designed to support new pictorial health warnings on cigarette packets: Evidence of a complementary relationship. Tobacco Control, 20, 412–418.CrossRefPubMed Brennan, E., Durkin, S. J., Cotter, T., Harper, T., & Wakefield, M. A. (2011). Mass media campaigns designed to support new pictorial health warnings on cigarette packets: Evidence of a complementary relationship. Tobacco Control, 20, 412–418.CrossRefPubMed
go back to reference Brewer, N. (2011). Chapter 2: Goals. In B. Fisschoff, N. Brewer, & J. Downs (Eds.), Communicating risks and benefits: An evidence-based user’s guide (pp. 3–11). New Hampshire: US Department of Health and Human Services, Food and Drug Administration. Brewer, N. (2011). Chapter 2: Goals. In B. Fisschoff, N. Brewer, & J. Downs (Eds.), Communicating risks and benefits: An evidence-based user’s guide (pp. 3–11). New Hampshire: US Department of Health and Human Services, Food and Drug Administration.
go back to reference Brewer, N., Chapman, G., Gibbons, F., Gerrard, M., McCaul, K., & Weinstein, N. D. (2007). Meta-analysis of the relationship between risk perception and health behavior: The example of vaccination. Health Psychology, 26, 136–145.CrossRefPubMed Brewer, N., Chapman, G., Gibbons, F., Gerrard, M., McCaul, K., & Weinstein, N. D. (2007). Meta-analysis of the relationship between risk perception and health behavior: The example of vaccination. Health Psychology, 26, 136–145.CrossRefPubMed
go back to reference Claassen, L., Henneman, L., Nijpels, G., Dekker, J., Marteau, T., & Timmermans, D. (2011). Causal beliefs and perceptions of risk for diabetes and cardiovascular disease, The Netherlands, 2007. Preventing Chronic Disease, 8, A130.PubMedPubMedCentral Claassen, L., Henneman, L., Nijpels, G., Dekker, J., Marteau, T., & Timmermans, D. (2011). Causal beliefs and perceptions of risk for diabetes and cardiovascular disease, The Netherlands, 2007. Preventing Chronic Disease, 8, A130.PubMedPubMedCentral
go back to reference Conner, M., & Norman, P. (Eds.). (1995). The theory of planned behaviour and health behaviours Philadelphia. PA: Open University Press. Conner, M., & Norman, P. (Eds.). (1995). The theory of planned behaviour and health behaviours Philadelphia. PA: Open University Press.
go back to reference Cuite, C., Weinstein, N. D., Emmons, K., Colditz, G. (2008). A test of numeric formats for risk communication. Medical Decision Making, 28(3), 377–384.CrossRefPubMed Cuite, C., Weinstein, N. D., Emmons, K., Colditz, G. (2008). A test of numeric formats for risk communication. Medical Decision Making, 28(3), 377–384.CrossRefPubMed
go back to reference Dillard, A. J., Ubel, P. A., Smith, D. M., Zikmund-Fisher, B. J., Nair, V., Derry, H. A. et al. (2011). The distinct role of comparative risk perceptions in a breast cancer prevention program. Annals of Behavioral Medicine, 42(2), 262–268.CrossRefPubMedPubMedCentral Dillard, A. J., Ubel, P. A., Smith, D. M., Zikmund-Fisher, B. J., Nair, V., Derry, H. A. et al. (2011). The distinct role of comparative risk perceptions in a breast cancer prevention program. Annals of Behavioral Medicine, 42(2), 262–268.CrossRefPubMedPubMedCentral
go back to reference Evans, A. T., Peters, E., Strasser, A. A., Emery, L. F., Sheerin, K. M., & Romer, D. (2015). Graphic warning labels elicit affective and thoughtful responses from smokers: Results of a randomized clinical trial. PLoS ONE, 10, e0142879.CrossRefPubMedPubMedCentral Evans, A. T., Peters, E., Strasser, A. A., Emery, L. F., Sheerin, K. M., & Romer, D. (2015). Graphic warning labels elicit affective and thoughtful responses from smokers: Results of a randomized clinical trial. PLoS ONE, 10, e0142879.CrossRefPubMedPubMedCentral
go back to reference Fagerlin, A., Wang, C., & Ubel, P. A. (2005). Reducing the influence of anecdotal reasoning on people’s health care decisions: Is a picture worth a thousand statistics? Medical Decision Making, 25, 398–405.CrossRefPubMed Fagerlin, A., Wang, C., & Ubel, P. A. (2005). Reducing the influence of anecdotal reasoning on people’s health care decisions: Is a picture worth a thousand statistics? Medical Decision Making, 25, 398–405.CrossRefPubMed
go back to reference Fagerlin, A., Zikmund-Fisher, B. J., Nair, V., Derry, H. A., McClure, J. B., Greene, S., et al. (2010). Women’s decisions regarding tamoxifen for breast cancer prevention: Responses to a tailored decision aid. Breast Cancer Research and Treatment, 119, 613–620.CrossRefPubMedPubMedCentral Fagerlin, A., Zikmund-Fisher, B. J., Nair, V., Derry, H. A., McClure, J. B., Greene, S., et al. (2010). Women’s decisions regarding tamoxifen for breast cancer prevention: Responses to a tailored decision aid. Breast Cancer Research and Treatment, 119, 613–620.CrossRefPubMedPubMedCentral
go back to reference Fagerlin, A., Zikmund-Fisher, B. J., & Ubel, P. A. (2007). “If I’m better than average, then I’m ok?”: Comparative information influences beliefs about risk and benefits. Patient Education and Counseling, 69, 140–144.CrossRefPubMedPubMedCentral Fagerlin, A., Zikmund-Fisher, B. J., & Ubel, P. A. (2007). “If I’m better than average, then I’m ok?”: Comparative information influences beliefs about risk and benefits. Patient Education and Counseling, 69, 140–144.CrossRefPubMedPubMedCentral
go back to reference Finucane, M. L., Alhakami, A., Slovic, P., & Johnson, S. M. (2000). The affect heuristic in judgments of risks and benefits. Journal of Behavioral Decision Making, 13, 1–17.CrossRef Finucane, M. L., Alhakami, A., Slovic, P., & Johnson, S. M. (2000). The affect heuristic in judgments of risks and benefits. Journal of Behavioral Decision Making, 13, 1–17.CrossRef
go back to reference Fischhoff, B., Brewer, N. T., & Downs, J. S. (2011). Communicating risks and benefits: An evidence-based user’s guide. Silver Spring: Food and Drug Administration, U.S. Department of Health and Human Services. Fischhoff, B., Brewer, N. T., & Downs, J. S. (2011). Communicating risks and benefits: An evidence-based user’s guide. Silver Spring: Food and Drug Administration, U.S. Department of Health and Human Services.
go back to reference Fisher, W. A., Fisher, J. D., & Harman, J. (2003). The information-motivation behavioral skills model: A general social psychological approach to understanding and promoting health behavior. In J. Suls & K. A. Wallston (Eds.), Social psychological foundations of health and illness (pp. 82–106). Malden: Blackwell.CrossRef Fisher, W. A., Fisher, J. D., & Harman, J. (2003). The information-motivation behavioral skills model: A general social psychological approach to understanding and promoting health behavior. In J. Suls & K. A. Wallston (Eds.), Social psychological foundations of health and illness (pp. 82–106). Malden: Blackwell.CrossRef
go back to reference French, D. P., Sutton, S. R., Marteau, T. M., & Kinmonth, A. L. (2004). The impact of personal and social comparison information about health risk. British Journal of Health Psychology, 9, 187–200.CrossRefPubMed French, D. P., Sutton, S. R., Marteau, T. M., & Kinmonth, A. L. (2004). The impact of personal and social comparison information about health risk. British Journal of Health Psychology, 9, 187–200.CrossRefPubMed
go back to reference Galesic, M., & Bosnjak, M. (2009). Effects of questionnaire length on participation and indicators of response quality in a web survey. Public Opinion Quarterly, 73, 349–360.CrossRef Galesic, M., & Bosnjak, M. (2009). Effects of questionnaire length on participation and indicators of response quality in a web survey. Public Opinion Quarterly, 73, 349–360.CrossRef
go back to reference Galesic, M., & Garcia-Retamero, R. (2011). Graph literacy: A cross-cultural comparison. Medical Decision Making, 31, 444–457.CrossRefPubMed Galesic, M., & Garcia-Retamero, R. (2011). Graph literacy: A cross-cultural comparison. Medical Decision Making, 31, 444–457.CrossRefPubMed
go back to reference Galesic, M., & Okan, Y. (2013). Short graph literacy scale. Paper presented at the 35th annual meeting of the Society for Medical Decision Making, Baltimore, MD, United States. Galesic, M., & Okan, Y. (2013). Short graph literacy scale. Paper presented at the 35th annual meeting of the Society for Medical Decision Making, Baltimore, MD, United States.
go back to reference Garcia-Retamero, R., & Cokely, E. T. (2013). Communicating health risks with visual aids. Current Directions in Psychological Science, 22, 392.CrossRef Garcia-Retamero, R., & Cokely, E. T. (2013). Communicating health risks with visual aids. Current Directions in Psychological Science, 22, 392.CrossRef
go back to reference Han, P. K., Hootsmans, N., Neilson, M., Roy, B., Kungel, T., Gutheil, C., et al. (2013). The value of personalised risk information: A qualitative study of the perceptions of patients with prostate cancer. British Medical Journal Open, 3, e003226. Han, P. K., Hootsmans, N., Neilson, M., Roy, B., Kungel, T., Gutheil, C., et al. (2013). The value of personalised risk information: A qualitative study of the perceptions of patients with prostate cancer. British Medical Journal Open, 3, e003226.
go back to reference Harris, P. R., & Smith, V. (2005). When the risks are low: The impact of absolute and comparative information on disturbance and understanding in US and UK samples. Psychology & Health, 20, 319–330.CrossRef Harris, P. R., & Smith, V. (2005). When the risks are low: The impact of absolute and comparative information on disturbance and understanding in US and UK samples. Psychology & Health, 20, 319–330.CrossRef
go back to reference Hay, J., McCaul, K. D., & Mangan, R. E. (2006). Does worry about breast cancer predict screening behaviors? A meta-analysis of the prospective evidence. Preventive Medicine: An International Journal Devoted to Practice and Theory, 42, 401–408.CrossRef Hay, J., McCaul, K. D., & Mangan, R. E. (2006). Does worry about breast cancer predict screening behaviors? A meta-analysis of the prospective evidence. Preventive Medicine: An International Journal Devoted to Practice and Theory, 42, 401–408.CrossRef
go back to reference Hay, J. L., Orom, H., Kiviniemi, M. T., & Waters, E. A. (2015). “I don’t know” my cancer risk: Exploring deficits in cancer knowledge and information-seeking skills to explain an often-overlooked participant response. Medical Decision Making, 35, 436–445.CrossRefPubMedPubMedCentral Hay, J. L., Orom, H., Kiviniemi, M. T., & Waters, E. A. (2015). “I don’t know” my cancer risk: Exploring deficits in cancer knowledge and information-seeking skills to explain an often-overlooked participant response. Medical Decision Making, 35, 436–445.CrossRefPubMedPubMedCentral
go back to reference Hoffrage, U., Lindsay, S., Hertwig, R., & Gigerenzer, G. (2000). Communicating statistical information. Science, 290, 2261–2262.CrossRefPubMed Hoffrage, U., Lindsay, S., Hertwig, R., & Gigerenzer, G. (2000). Communicating statistical information. Science, 290, 2261–2262.CrossRefPubMed
go back to reference Janssen, E., van Osch, L., de Vries, H., & Lechner, L. (2010). Measuring risk perceptions of skin cancer: Reliability and validity of different operationalizations. British Journal of Health Psychology, 16, 92–112.CrossRef Janssen, E., van Osch, L., de Vries, H., & Lechner, L. (2010). Measuring risk perceptions of skin cancer: Reliability and validity of different operationalizations. British Journal of Health Psychology, 16, 92–112.CrossRef
go back to reference Janssen, E., van Osch, L., de Vries, H., & Lechner, L. (2012a). The influence of narrative risk communication on feelings of cancer risk. British Journal of Health Psychology, 18, 407–419.CrossRefPubMed Janssen, E., van Osch, L., de Vries, H., & Lechner, L. (2012a). The influence of narrative risk communication on feelings of cancer risk. British Journal of Health Psychology, 18, 407–419.CrossRefPubMed
go back to reference Janssen, E., Waters, E. A., van Osch, L., Lechner, L., & de Vries, H. (2012b). The importance of affectively-laden beliefs about health risks: The case of tobacco use and sun protection. Journal of Behavioral Medicine, 37, 11–21.CrossRefPubMedPubMedCentral Janssen, E., Waters, E. A., van Osch, L., Lechner, L., & de Vries, H. (2012b). The importance of affectively-laden beliefs about health risks: The case of tobacco use and sun protection. Journal of Behavioral Medicine, 37, 11–21.CrossRefPubMedPubMedCentral
go back to reference Jones, L. W., Sinclair, R. C., & Courneya, K. S. (2003). The effects of source credibility and message framing on exercise intentions, behaviors, and attitudes: An integration of the elaboration likelihood model and prospect theory. Journal of Applied Social Psychology, 33, 179–196.CrossRef Jones, L. W., Sinclair, R. C., & Courneya, K. S. (2003). The effects of source credibility and message framing on exercise intentions, behaviors, and attitudes: An integration of the elaboration likelihood model and prospect theory. Journal of Applied Social Psychology, 33, 179–196.CrossRef
go back to reference Keller, C., Siegrist, M., & Visschers, V. (2009). Effect of risk ladder format on risk perception in high- and low-numerate individuals. Risk Analysis, 29, 1255–1264.CrossRefPubMed Keller, C., Siegrist, M., & Visschers, V. (2009). Effect of risk ladder format on risk perception in high- and low-numerate individuals. Risk Analysis, 29, 1255–1264.CrossRefPubMed
go back to reference Klein, W. M. P. (2002). Comparative risk estimates relative to the average peer predict behavioral intentions and concern about absolute risk. Risk, Decision & Policy, 7, 193–202.CrossRef Klein, W. M. P. (2002). Comparative risk estimates relative to the average peer predict behavioral intentions and concern about absolute risk. Risk, Decision & Policy, 7, 193–202.CrossRef
go back to reference Kutner, M., Greenburg, E., Jin, Y., & Paulsen, C. (2006). The health literacy of america’s adults: Results from the 2003 national assessment of adult literacy (NCES 2006-483). Washington, DC: National Center for Education Statistics. Kutner, M., Greenburg, E., Jin, Y., & Paulsen, C. (2006). The health literacy of america’s adults: Results from the 2003 national assessment of adult literacy (NCES 2006-483). Washington, DC: National Center for Education Statistics.
go back to reference Lipkus, I. M. (2007). Numeric, verbal, and visual formats of conveying health risks: Suggested best practices and future recommendations. Medical Decision Making, 27, 696–713.CrossRefPubMed Lipkus, I. M. (2007). Numeric, verbal, and visual formats of conveying health risks: Suggested best practices and future recommendations. Medical Decision Making, 27, 696–713.CrossRefPubMed
go back to reference Lipkus, I. M., Samsa, G., & Rimer, B. K. (2001). General performance on a numeracy scale among highly educated samples. Medical Decision Making, 21, 37–44.CrossRefPubMed Lipkus, I. M., Samsa, G., & Rimer, B. K. (2001). General performance on a numeracy scale among highly educated samples. Medical Decision Making, 21, 37–44.CrossRefPubMed
go back to reference McGuire, W. J. (1985). Attitudes and attitude change. In G. Lindzey & E. Aronson (Eds.), The handbook of social psychology (3rd ed.). New York: Random House. McGuire, W. J. (1985). Attitudes and attitude change. In G. Lindzey & E. Aronson (Eds.), The handbook of social psychology (3rd ed.). New York: Random House.
go back to reference McQueen, A., Kreuter, M. W., Kalesan, B., & Alcaraz, K. I. (2011). Understanding narrative effects: The impact of breast cancer survivor stories on message processing, attitudes, and beliefs among African American women. Health Psychology, 30, 674–682.CrossRefPubMedPubMedCentral McQueen, A., Kreuter, M. W., Kalesan, B., & Alcaraz, K. I. (2011). Understanding narrative effects: The impact of breast cancer survivor stories on message processing, attitudes, and beliefs among African American women. Health Psychology, 30, 674–682.CrossRefPubMedPubMedCentral
go back to reference Nair, V., Strecher, V., Fagerlin, A., Ubel, P., Resnicow, K., Murphy, S., et al. (2008). Screening experiments and fractional factorial designs in behavioral intervention research. American Journal of Public Health, 98, 1354–1359.CrossRefPubMedPubMedCentral Nair, V., Strecher, V., Fagerlin, A., Ubel, P., Resnicow, K., Murphy, S., et al. (2008). Screening experiments and fractional factorial designs in behavioral intervention research. American Journal of Public Health, 98, 1354–1359.CrossRefPubMedPubMedCentral
go back to reference National Cancer Institute. (2001). Making health communication programs work: A planner’s guide. NIH publication no. 04-5145. Bethesda, MD. National Cancer Institute. (2001). Making health communication programs work: A planner’s guide. NIH publication no. 04-5145. Bethesda, MD.
go back to reference Nelson, W. L., Moser, R. P., & Han, P. K. J. (2013). Exploring objective and subjective numeracy at a population level: Findings from the 2007 health information national trends survey (HINTS). Journal of Health Communication, 18, 192–205.CrossRefPubMed Nelson, W. L., Moser, R. P., & Han, P. K. J. (2013). Exploring objective and subjective numeracy at a population level: Findings from the 2007 health information national trends survey (HINTS). Journal of Health Communication, 18, 192–205.CrossRefPubMed
go back to reference Nelson, W., Reyna, V. F., Fagerlin, A., Lipkus, I., & Peters, E. (2008). Clinical implications of numeracy: Theory and practice. Annals of Behavioral Medicine, 35, 261–274.CrossRefPubMedPubMedCentral Nelson, W., Reyna, V. F., Fagerlin, A., Lipkus, I., & Peters, E. (2008). Clinical implications of numeracy: Theory and practice. Annals of Behavioral Medicine, 35, 261–274.CrossRefPubMedPubMedCentral
go back to reference Peters, E., Dieckmann, N., Dixon, A., Hibbard, J. H., & Mertz, C. K. (2007). Less is more in presenting quality information to consumers. Medical Care Research and Review, 64, 169–190.CrossRefPubMed Peters, E., Dieckmann, N., Dixon, A., Hibbard, J. H., & Mertz, C. K. (2007). Less is more in presenting quality information to consumers. Medical Care Research and Review, 64, 169–190.CrossRefPubMed
go back to reference Peters, E., Hart, P. S., Tusler, M., & Fraenkel, L. (2014). Numbers matter to informed patient choices: A randomized design across age and numeracy levels. Medical Decision Making, 34, 430–442.CrossRefPubMed Peters, E., Hart, P. S., Tusler, M., & Fraenkel, L. (2014). Numbers matter to informed patient choices: A randomized design across age and numeracy levels. Medical Decision Making, 34, 430–442.CrossRefPubMed
go back to reference Reyna, V. F., Nelson, W. L., Han, P. K., & Dieckmann, N. F. (2009). How numeracy influences risk comprehension and medical decision making. Psychological Bulletin, 135, 943–973.CrossRefPubMedPubMedCentral Reyna, V. F., Nelson, W. L., Han, P. K., & Dieckmann, N. F. (2009). How numeracy influences risk comprehension and medical decision making. Psychological Bulletin, 135, 943–973.CrossRefPubMedPubMedCentral
go back to reference Schwarzer, R. (2001). Social-cognitive factors in changing health-related behavior. Current Directions in Psychological Science, 10, 47–51.CrossRef Schwarzer, R. (2001). Social-cognitive factors in changing health-related behavior. Current Directions in Psychological Science, 10, 47–51.CrossRef
go back to reference Schwarzer, R., & Fuchs, R. (1995). Self-efficacy and health behaviours. In M. Conner & P. Norman (Eds.), Predicting health behaviour (pp. 169–196). Philadelphia: Open University Press. Schwarzer, R., & Fuchs, R. (1995). Self-efficacy and health behaviours. In M. Conner & P. Norman (Eds.), Predicting health behaviour (pp. 169–196). Philadelphia: Open University Press.
go back to reference Sheeran, P., Harris, P. R., & Epton, T. (2013). Does heightening risk appraisals change people’s intentions and behavior? A meta-analysis of experimental studies. Psychological Bulletin, 140, 511–543.CrossRefPubMed Sheeran, P., Harris, P. R., & Epton, T. (2013). Does heightening risk appraisals change people’s intentions and behavior? A meta-analysis of experimental studies. Psychological Bulletin, 140, 511–543.CrossRefPubMed
go back to reference Sinayev, A., Peters, E., Tusler, M., & Fraenkel, L. (2015). Presenting numeric information with percentages and descriptive risk labels: A randomized trial. Medical Decision Making, 35, 937–947.CrossRefPubMedPubMedCentral Sinayev, A., Peters, E., Tusler, M., & Fraenkel, L. (2015). Presenting numeric information with percentages and descriptive risk labels: A randomized trial. Medical Decision Making, 35, 937–947.CrossRefPubMedPubMedCentral
go back to reference Sullivan, L., & D’Agostino, R. (2003). Robustness and power of analysis of covariance applied to ordinal scaled data as arising in randomized controlled trials. Statistics in Medicine, 22, 1317–1334.CrossRefPubMed Sullivan, L., & D’Agostino, R. (2003). Robustness and power of analysis of covariance applied to ordinal scaled data as arising in randomized controlled trials. Statistics in Medicine, 22, 1317–1334.CrossRefPubMed
go back to reference Tait, A. R., Voepel-Lewis, T., Zikmund-Fisher, B. J., & Fagerlin, A. (2010). The effect of format on parents’ understanding of the risks and benefits of clinical research: a comparison between text, tables, and graphics. Journal of Health Communication, 15, 487–501.CrossRefPubMedPubMedCentral Tait, A. R., Voepel-Lewis, T., Zikmund-Fisher, B. J., & Fagerlin, A. (2010). The effect of format on parents’ understanding of the risks and benefits of clinical research: a comparison between text, tables, and graphics. Journal of Health Communication, 15, 487–501.CrossRefPubMedPubMedCentral
go back to reference Thomas, R. K., & Barlas, F. M. (2017). Thumbs up or down? Emojis as a response format for online surveys. Paper presented at the Advertising Research Foundation Annual Conference, New York. Thomas, R. K., & Barlas, F. M. (2017). Thumbs up or down? Emojis as a response format for online surveys. Paper presented at the Advertising Research Foundation Annual Conference, New York.
go back to reference Wang, C., Miller, S. M., Egleston, B. L., Hay, J. L., & Weinberg, D. S. (2010). Beliefs about the causes of breast and colorectal cancer among women in the general population. Cancer Causes and Control, 21, 99–107.CrossRefPubMed Wang, C., Miller, S. M., Egleston, B. L., Hay, J. L., & Weinberg, D. S. (2010). Beliefs about the causes of breast and colorectal cancer among women in the general population. Cancer Causes and Control, 21, 99–107.CrossRefPubMed
go back to reference Waters, E. A., Fagerlin, A., & Zikmund-Fisher, B. J. (2016). Avoiding common pitfalls of risk communication. In M. A. Diefenbach, D. J. Bowen, & S. M. Miller (Eds.), Handbook of health decision science (pp. 265–279). New York: Springer.CrossRef Waters, E. A., Fagerlin, A., & Zikmund-Fisher, B. J. (2016). Avoiding common pitfalls of risk communication. In M. A. Diefenbach, D. J. Bowen, & S. M. Miller (Eds.), Handbook of health decision science (pp. 265–279). New York: Springer.CrossRef
go back to reference Waters, E. A., Hay, J. L., Orom, H., Kiviniemi, M. T., & Drake, B. F. (2013). “Don’t know” responses to risk perception measures: Implications for underserved populations. Medical Decision Making, 33, 271–281.CrossRefPubMedPubMedCentral Waters, E. A., Hay, J. L., Orom, H., Kiviniemi, M. T., & Drake, B. F. (2013). “Don’t know” responses to risk perception measures: Implications for underserved populations. Medical Decision Making, 33, 271–281.CrossRefPubMedPubMedCentral
go back to reference Waters, E. A., Sullivan, H. W., Nelson, W., & Hesse, B. W. (2009). What is my cancer risk? Identifying how internet-based cancer risk calculators convey individualized risk estimates to the public. Journal of Medical Internet Research, 11, e33.CrossRefPubMedPubMedCentral Waters, E. A., Sullivan, H. W., Nelson, W., & Hesse, B. W. (2009). What is my cancer risk? Identifying how internet-based cancer risk calculators convey individualized risk estimates to the public. Journal of Medical Internet Research, 11, e33.CrossRefPubMedPubMedCentral
go back to reference Waters, E. A., Weinstein, N. D., Colditz, G. A., & Emmons, K. (2006). Formats for improving risk communication in medical tradeoff decisions. Journal of Health Communication, 11, 167–182.CrossRefPubMed Waters, E. A., Weinstein, N. D., Colditz, G. A., & Emmons, K. (2006). Formats for improving risk communication in medical tradeoff decisions. Journal of Health Communication, 11, 167–182.CrossRefPubMed
go back to reference Weinstein, N. D. (1999). What does it mean to understand a risk? Evaluating risk comprehension. Journal of the National Cancer Institute Monographs, 25, 15–20.CrossRef Weinstein, N. D. (1999). What does it mean to understand a risk? Evaluating risk comprehension. Journal of the National Cancer Institute Monographs, 25, 15–20.CrossRef
go back to reference Weinstein, N. D., Kwitel, A., McCaul, K. D., Magnan, R. E., Gerrard, M., & Gibbons, F. X. (2007). Risk perceptions: Assessment and relationship to influenza vaccination. Health Psychology, 26, 146–151.CrossRefPubMed Weinstein, N. D., Kwitel, A., McCaul, K. D., Magnan, R. E., Gerrard, M., & Gibbons, F. X. (2007). Risk perceptions: Assessment and relationship to influenza vaccination. Health Psychology, 26, 146–151.CrossRefPubMed
go back to reference Weinstein, N. D., Lyon, J. E., Cuite, C. L., & Sandman, P. M. (1998). Experimental evidence for stages of health behavior change: The precaution adoption process model applied to home radon testing. Health Psychology, 17, 445–453.CrossRefPubMed Weinstein, N. D., Lyon, J. E., Cuite, C. L., & Sandman, P. M. (1998). Experimental evidence for stages of health behavior change: The precaution adoption process model applied to home radon testing. Health Psychology, 17, 445–453.CrossRefPubMed
go back to reference Weinstein, N. D., Sandman, P. M., & Miller, P. (1991). Communicating effectively about risk magnitudes, phase two. New Brunswick: Environmental Communication Research Program, Cook College, Rutgers University. Weinstein, N. D., Sandman, P. M., & Miller, P. (1991). Communicating effectively about risk magnitudes, phase two. New Brunswick: Environmental Communication Research Program, Cook College, Rutgers University.
go back to reference Weinstein, N. D., Sandman, P. M., & Roberts, N. E. (1989). Communicating effectively about risk magnitudes, phase one. Washington, DC: United States Environmental Protection Agency. Weinstein, N. D., Sandman, P. M., & Roberts, N. E. (1989). Communicating effectively about risk magnitudes, phase one. Washington, DC: United States Environmental Protection Agency.
go back to reference Willis, G. B. (2004). Cognitive interviewing: A tool for improving questionnaire design. Thousand Oaks: Sage Publications. Willis, G. B. (2004). Cognitive interviewing: A tool for improving questionnaire design. Thousand Oaks: Sage Publications.
go back to reference Windschitl, P. D., Martin, R., & Flugstad, A. R. (2002). Context and the interpretation of likelihood information: The role of intergroup comparisons on perceived vulnerability. Journal of Personality and Social Psychology, 82, 742–755.CrossRefPubMed Windschitl, P. D., Martin, R., & Flugstad, A. R. (2002). Context and the interpretation of likelihood information: The role of intergroup comparisons on perceived vulnerability. Journal of Personality and Social Psychology, 82, 742–755.CrossRefPubMed
go back to reference Witte, K. (1992). Putting the fear back into fear appeals: The extended parallel process model. Communication Monographs, 59, 329–349.CrossRef Witte, K. (1992). Putting the fear back into fear appeals: The extended parallel process model. Communication Monographs, 59, 329–349.CrossRef
go back to reference Witteman, H. O., Zikmund-Fisher, B. J., Waters, E. A., Gavaruzzi, T., & Fagerlin, A. (2011). Risk estimates from an online risk calculator are more believable and recalled better when expressed as integers. Journal of Medical Internet Research, 13, e54.CrossRefPubMedPubMedCentral Witteman, H. O., Zikmund-Fisher, B. J., Waters, E. A., Gavaruzzi, T., & Fagerlin, A. (2011). Risk estimates from an online risk calculator are more believable and recalled better when expressed as integers. Journal of Medical Internet Research, 13, e54.CrossRefPubMedPubMedCentral
go back to reference Wold, K. S., Byers, T., Crane, L. A., & Ahnen, D. (2005). What do cancer survivors believe causes cancer? Cancer Causes and Control, 16, 115–123.CrossRefPubMed Wold, K. S., Byers, T., Crane, L. A., & Ahnen, D. (2005). What do cancer survivors believe causes cancer? Cancer Causes and Control, 16, 115–123.CrossRefPubMed
go back to reference Woloshin, S., Schwartz, L. M., & Ellner, A. (2003). Making sense of risk information on the web: Don’t forget the basics. British Medical Journal, 327, 695.CrossRefPubMedPubMedCentral Woloshin, S., Schwartz, L. M., & Ellner, A. (2003). Making sense of risk information on the web: Don’t forget the basics. British Medical Journal, 327, 695.CrossRefPubMedPubMedCentral
go back to reference Zikmund-Fisher, B. J. (2013). The right tool is what they need, not what we have: A taxonomy of appropriate levels of precision in patient risk communication. Medical Care Research and Review, 70, 37S–49S.CrossRefPubMed Zikmund-Fisher, B. J. (2013). The right tool is what they need, not what we have: A taxonomy of appropriate levels of precision in patient risk communication. Medical Care Research and Review, 70, 37S–49S.CrossRefPubMed
go back to reference Zikmund-Fisher, B. J., Fagerlin, A., & Ubel, P. A. (2010). A demonstration of ‘‘less can be more’’ in risk graphics. Medical Decision Making, 30, 661–671.CrossRefPubMedPubMedCentral Zikmund-Fisher, B. J., Fagerlin, A., & Ubel, P. A. (2010). A demonstration of ‘‘less can be more’’ in risk graphics. Medical Decision Making, 30, 661–671.CrossRefPubMedPubMedCentral
Metagegevens
Titel
Combining risk communication strategies to simultaneously convey the risks of four diseases associated with physical inactivity to socio-demographically diverse populations
Auteurs
Eva Janssen
Robert A. C. Ruiter
Erika A. Waters
Publicatiedatum
13-10-2017
Uitgeverij
Springer US
Gepubliceerd in
Journal of Behavioral Medicine / Uitgave 3/2018
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI
https://doi.org/10.1007/s10865-017-9894-3

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