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Health Psychology and Behavioral Medicine
An Open Access Journal
Volume 10, 2022 - Issue 1
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Research Article

Understanding cancer genetic risk assessment motivations in a remote tailored risk communication and navigation intervention randomized controlled trial

Circe Gray Le Comptea Biobehavioral Cancer Health Equity Research Lab, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ, USAView further author information
,
Shou-En Lub Rutgers Environmental Epidemiology and Statistics, Rutgers University School of Public Health, Rutgers, The State University of New Jersey University, New Brunswick, NJ, USAView further author information
,
Julianne Ania Biobehavioral Cancer Health Equity Research Lab, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ, USAView further author information
,
Jean McDougallc Department of Internal Medicine, Division of Epidemiology, Biostatistics, and Preventive Medicine, University of New Mexico, Albuquerque, NM, USAView further author information
,
Scott T. Waltersd Department of Health Behavior and Health Systems, University of North Texas Health Science Center, Fort Worth, TX, USAView further author information
,
Deborah Toppmeyere Stacy Goldstein Breast Cancer Center, LIFE Center, Medical Oncology, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ, USAView further author information
,
Tawny W. Boycef Biostatistics Shared Resource, UNM Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, USAView further author information
,
Antoinette Stroupg New Jersey State Cancer Registry, Stroup Research Center, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ, USAView further author information
,
Lisa Paddockh Cancer Surveillance Research Program, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ, USAView further author information
,
Sherry Grumeti LIFE Center, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ, USAView further author information
,
Yong Linj Department of Biostatistics and Epidemiology, School of Public Health, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey University, New Brunswick, NJ, USAView further author information
,
Emily Heidta Biobehavioral Cancer Health Equity Research Lab, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ, USAView further author information
&
Anita Y. Kinneyj Department of Biostatistics and Epidemiology, School of Public Health, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey University, New Brunswick, NJ, USACorrespondence[email protected]
View further author information
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Pages 1190-1215 | Received 19 Jul 2022, Accepted 13 Nov 2022, Published online: 09 Dec 2022

Figures & data

Figure 1. Mediation analysis models: theorized mediators of GRACE interventions on intentions to seek CGRA.

Figure 1. Mediation analysis models: theorized mediators of GRACE interventions on intentions to seek CGRA.

Figure 2. CONSORT diagram of the GRACE project randomized-control trial from baseline to the one-month follow-up. Note: * In the intent-to-treat analysis, only participants found ineligible were excluded.

Figure 2. CONSORT diagram of the GRACE project randomized-control trial from baseline to the one-month follow-up. Note: * In the intent-to-treat analysis, only participants found ineligible were excluded.

Table 1. Sociodemographic characteristics of participants by study arm.

Table 2. Correlations matrix of theorized mediator variables.

Table 3. CGRA intentions at baseline and the one-month follow-up.

Table 4. Within and between study arm comparisons using mixed model analysis.

Figure 3. Single mediation analysis, indirect effects of theorized mediators on TCN, baseline to the one-month follow-up. Notes: illustrates direct and indirect mediation effects of the theorized mediation variables on TCN. Two variables, perceived susceptibility and self-efficacy significantly mediated the relationship between TCN and CGRA intentions. *p < 0.05, **p < 0.01, ***p < 0.001.

Figure 3. Single mediation analysis, indirect effects of theorized mediators on TCN, baseline to the one-month follow-up. Notes: Figure 3 illustrates direct and indirect mediation effects of the theorized mediation variables on TCN. Two variables, perceived susceptibility and self-efficacy significantly mediated the relationship between TCN and CGRA intentions. *p < 0.05, **p < 0.01, ***p < 0.001.

Table 5. Single mediation analysis: indirect effects of theorized mediation variables on TCN.

Table 6. Single mediation analysis: indirect effects of theorized mediation variables on usual care.

Table 7. Single mediation analysis: indirect effects of theorized mediation variables on targeted print.

Table 8. Multivariable mediation analysis for TCN.

Data availability statement

For information about the GRACE data set, please email the study team at [email protected].

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