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Description: Providing individuals with personalized information about how a single behavior can affect their risk of developing multiple diseases in an easily understandable format may increase laypeople's ability to understand the importance of the behavior for their overall health, not just for one disease. However, there is a considerable gap between wanting to perform a behavior and actually achieving successful behavior change. The first part of this project sought to understand how to convey complex personalized risk information to the public (see https://journals.sagepub.com/doi/10.1177/0272989X20968070). The second part of this project sought to understand whether engaging in mental imagery-based self-regulation activities may increase physical activity behavior (see https://bpspsychub.onlinelibrary.wiley.com/doi/10.1111/bjhp.12558). All participants completed baseline activities for both parts of the study over a 1-hour time period and then were followed for 90 days. Projects that used secondary data analysis to examine additional research questions included (a) examining possible mechanisms driving rejection of personalized diabetes risk information (link to article forthcoming), and (b) identifying strategies for recruiting a socio-demographically diverse sample (link to article forthcoming).

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Recruitment and enrollment

This component contains recruitment and enrollment materials, including advertisements, the eligibility screener, and consent form.

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Strategies for communicating multiple personalized disease risk estimates

Free access to the publisher's version of this manuscript can be found at: https://journals.sagepub.com/doi/10.1177/0272989X20968070. We sought to det...

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Mental imagery-based self-regulation physical activity intervention

Access to the publisher's version of the manuscript can be found at: https://bpspsychub.onlinelibrary.wiley.com/doi/10.1111/bjhp.12558. After receivin...

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Secondary and exploratory analyses

This includes presentations, posters, and papers resulting from secondary analysis of data from either of the two main study components.

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