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Grant Details

Grant Number: 5R01CA190391-04 Interpret this number
Primary Investigator: Waters, Erika
Organization: Washington University
Project Title: Communicating Multiple Disease Risks: a Translation of Risk Prediction Science
Fiscal Year: 2018


Abstract

 DESCRIPTION (provided by applicant): Epidemiology seeks to improve public health by identifying risk factors for cancer and other diseases. Yet, the public does not always use that information to make appropriate health decisions. One reason might be that, even though a single risk factor can affect the risk of multiple diseases, this information is seldom communicated in a way that optimizes people's understanding of the importance of engaging in a single healthy behavior. Helping people understand how a single behavior could affect their risk of multiple diseases could foster a more coherent and meaningful picture of the behavior's importance in reducing health risks, increase motivation and intentions to engage in the behavior, and eventually improve public health. The objective of this study is to translate epidemiological data about five major health consequences of insufficient physical activity (i.e., colon cancer, breast cancer [women], heart disease, diabetes, and stroke) into a visual display that conveys individualized risk estimates in a way that is understandable and meaningful to diverse lay audiences. The aims are to 1) Identify which combination of four risk communication strategies most effectively conveys risk estimates of five diseases associated with physical inactivity, and 2) Incorporate these strategies into a visual display and compare its effectiveness to alphanumeric text. The study design, including identification and prioritization of primary and secondary outcomes, was guided by health behavior theory. The sample will be comprised of approximately 50% members of racial/ethnic minority groups and 50% with no more than a high school diploma. Participants will be enrolled from two sources: the GfK Knowledge Networks Internet Panel (N=1130) and a large Midwestern city (N=392). Participants in Aim 1 will be randomly assigned to one of eight experimental conditions in a 2x2x2 full factorial design. The conditions will vary according the whether the risk estimate is conveyed as a qualitative descriptor (e.g., high risk) vs. a numerical estimate, the presence/absence of social comparison information (i.e., how their risk compares to the average person), and the presence/absence of risk reduction information. Aim 2 will utilize a randomized controlled trial. Primary outcomes for both aims will be risk comprehension and intentions to increase physical activity. Secondary outcomes will be cognitive and affective perceived likelihood, response efficacy, perceived severity, and worry (Aims 1 and 2), and engagement in physical activity at 90-day follow-up (Aim 2). Potential moderators (i.e., race/ethnicity, education, numeracy) and mediators (e.g., response efficacy) will be examined for both aims. Completing the aims will impact public health by providing: 1) a versatile visual display that can be adapted to communicate multiple health risks in several domains, 2) a functional risk assessment tool that can be integrated into individual, community, or clinical interventions, and 3) increased basic and applied scientific knowledge. This research may also contribute to the reduction of health disparities; its focus on understanding demographic moderators will increase the applicability of the display to underrepresented groups.



Publications

Adherence of Internet-Based Cancer Risk Assessment Tools to Best Practices in Risk Communication: Content Analysis.
Authors: Waters E.A. , Foust J.L. , Scherer L.D. , McQueen A. , Taber J.M. .
Source: Journal of medical Internet research, 2021-01-25; 23(1), p. e23318.
EPub date: 2021-01-25.
PMID: 33492238
Related Citations

Risk Ladder, Table, or Bulleted List? Identifying Formats That Effectively Communicate Personalized Risk and Risk Reduction Information for Multiple Diseases.
Authors: Waters E.A. , Maki J. , Liu Y. , Ackermann N. , Carter C.R. , Dart H. , Bowen D.J. , Cameron L.D. , Colditz G.A. .
Source: Medical decision making : an international journal of the Society for Medical Decision Making, 2021 01; 41(1), p. 74-88.
EPub date: 2020-10-26.
PMID: 33106087
Related Citations

Participatory Design of a Personalized Genetic Risk Tool to Promote Behavioral Health.
Authors: Ramsey A.T. , Bray M. , Acayo Laker P. , Bourdon J.L. , Dorsey A. , Zalik M. , Pietka A. , Salyer P. , Waters E.A. , Chen L.S. , et al. .
Source: Cancer prevention research (Philadelphia, Pa.), 2020 07; 13(7), p. 583-592.
EPub date: 2020-03-24.
PMID: 32209550
Related Citations

Physical activity: the relative associations with cognitive and affective risk beliefs.
Authors: Janssen E. , Waters E.A. .
Source: Psychology & health, 2019 11; 34(11), p. 1294-1313.
EPub date: 2019-04-23.
PMID: 31012749
Related Citations

Using the Short Graph Literacy Scale to Predict Precursors of Health Behavior Change.
Authors: Okan Y. , Janssen E. , Galesic M. , Waters E.A. .
Source: Medical decision making : an international journal of the Society for Medical Decision Making, 2019 04; 39(3), p. 183-195.
EPub date: 2019-03-08.
PMID: 30845893
Related Citations

Comparison of Performance Between a Short Categorized Lifestyle Exposure-based Colon Cancer Risk Prediction Tool and a Model Using Continuous Measures.
Authors: Liu Y. , Colditz G.A. , Rosner B.A. , Dart H. , Wei E. , Waters E.A. .
Source: Cancer prevention research (Philadelphia, Pa.), 2018 12; 11(12), p. 841-848.
EPub date: 2018-11-16.
PMID: 30446519
Related Citations

Combining risk communication strategies to simultaneously convey the risks of four diseases associated with physical inactivity to socio-demographically diverse populations.
Authors: Janssen E. , Ruiter R.A.C. , Waters E.A. .
Source: Journal of behavioral medicine, 2018 06; 41(3), p. 318-332.
EPub date: 2017-10-13.
PMID: 29027602
Related Citations

Don't know responses to cognitive and affective risk perception measures: Exploring prevalence and socio-demographic moderators.
Authors: Janssen E. , Verduyn P. , Waters E.A. .
Source: British journal of health psychology, 2018 05; 23(2), p. 407-419.
EPub date: 2018-02-02.
PMID: 29393593
Related Citations

Awareness of Health Outcomes Associated with Insufficient Physical Activity and Associations with Physical Activity Intentions and Behavior.
Authors: Waters E.A. , Hawkins E. .
Source: Journal of health communication, 2018; 23(7), p. 634-642.
EPub date: 2018-08-09.
PMID: 30089442
Related Citations

Using an Internet-Based Breast Cancer Risk Assessment Tool to Improve Social-Cognitive Precursors of Physical Activity.
Authors: Fowler S.L. , Klein W.M.P. , Ball L. , McGuire J. , Colditz G.A. , Waters E.A. .
Source: Medical decision making : an international journal of the Society for Medical Decision Making, 2017 08; 37(6), p. 657-669.
EPub date: 2017-03-31.
PMID: 28363033
Related Citations

Development of a Cancer Risk Prediction Tool for Use in the UK Primary Care and Community Settings.
Authors: Lophatananon A. , Usher-Smith J. , Campbell J. , Warcaba J. , Silarova B. , Waters E.A. , Colditz G.A. , Muir K.R. .
Source: Cancer prevention research (Philadelphia, Pa.), 2017 Jul; 10(7), p. 421-430.
EPub date: 2017-05-30.
PMID: 28559460
Related Citations




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