Efficacy of the Health Belief Model for Predicting Intention to Pursue Genetic Testing for Colorectal Cancer
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This study examined the Health Belief Model’s efficacy to predict intention to undergo genetic testing for the Colorectal Carcinoma (CRC) gene within a rural/frontier setting. Survey data were collected on 558 Southwest Montanan residents. Regression analysis revealed that perceived benefits, including affordability and satisfying curiosity, were the strongest indicators of intention to undergo genetic testing for CRC. Select consumer barriers and cues to action variables were also found to be significant predictors. Collectively the model explained approximately 36% of the variance. These preliminary findings have implications for genetic counselors, health practitioners and health care providers concerned with genetic counseling and addressing the public health issue of CRC.
KeywordsColorectal cancer screening Predicting genetic testing Health belief model
This study was supported in part through a research development grant from the Department of Health and Human Development at Montana State University Bozeman.
- American Cancer Society. (2006, February 14, 2006). Facts and figures 2006. from https://doi.org/www.cancer.org/docroot/STT/stt_0.asp.
- Babbie, E. (2002). The basics of social research. Belmont: Wadsworth Group.Google Scholar
- Church, G. M. (2006). Genomes for ALL. Scientific American, 47–54. https://doi.org/rep.med.harvard.edu/pdf/Church05s.pdf.
- Dillman, D. A. (2000). Mail and internet surveys: The tailored design method (2nd ed.). New York: Wiley.Google Scholar
- Frank, D., Swedmark, J., & Grubbs, L. (2004). Colon cancer screening in African American women. The Association of Black Nursing Faculty, 15(4), 67–70.Google Scholar
- Green, L. & Kreuter, M. (1999). Health promotion planning: An educational and ecological approach (3rd ed.). Mountain View: Mayfield.Google Scholar
- Gwyn, K., Vernon, S. W., & Conoley, P. M. (2003). Intention to pursue genetic testing for breast cancer among women due for screening mammography. Cancer Epidemiology Biomarkers & Prevention, 12, 96–102.Google Scholar
- Hartman, K. A. (2002). Health belief model and it’s application to mammography screening in a K-12 school district employee wellness program. Bozeman: Montana State University.Google Scholar
- Helmes, A. W., Bowen, D. J., Bowden, R., & Bengel, J. (2000). Predictors of participation in genetic research in a primary care physician network. Cancer Epidemiology, Biomarkers & Prevention, 9, 1377–1379.Google Scholar
- Ho, S. M., Ho, J. W., Chan, C. L., Kwan, K., & Tsui, K. (2003). Decisional consideration of hereditary colon cancer genetic test results among Hong Kong Chinese adults. Cancer Epidemiology, Biomarkers & Prevention, 12, 426–432.Google Scholar
- Janz, N., Champion, V., & Strecher, V. (2002). The health belief model. In K. Glanz, B. Rimer & F. Lewis (Eds.), Health behavior and health education: Theory, research and practice. San Francisco: Jossey-Bass.Google Scholar
- Ramsey, S. D., Wilson, S., Spencer, A., Geidzinska, A., & Newcomb, P. (2003). Attitudes towards genetics screening for predisposition to colon cancer among cancer patients, their relatives and members of the community. Community Genetics, 6, 29–36.Google Scholar
- Strecher, V. J. & Rosenstock, I. M. (1997). The health belief model. San Francisco: Jossey-Bass.Google Scholar
- U.S. Department of Energy Office of Science, Office of Biological and Environmental Research, & Program, H. G. (2004). Human Genome Project Information. In.Google Scholar
- U.S. Department of Health and Human Services, & National Cancer Institute. (2007). Understanding Genetic Testing: Access Excellence Resource Center.Google Scholar