Andersen’s Behavioral Model to Identify Correlates of Breast Cancer Screening Behaviors among Indigenous Women

ABSTRACT

This study examined predictive models of utilization of mammograms among Indigenous women adapting Andersen’s behavioral model. Using a sample of 285 Indigenous women residing in South Dakota, nested logistic regression analyses were conducted to assess predisposing (age and marital status), need (personal and family cancer history), and enabling factors (education, monthly household income, mammogram screening awareness, breast cancer knowledge, self-rated health, and cultural practice to breast cancer screening). Results indicated that only 55.5% of participants reported having had a breast cancer screening within the past 2 years. After controlling for predisposing and need factors, higher education, greater awareness of mammogram, and higher utilization of traditional Native American approaches were significant predictors of mammogram uptake. The results provide important implications for intervention strategies aimed at improving breast cancer screening and service use among Indigenous women.

KEYWORDS:

• Indigenous women
• breast cancer screening
• cancer awareness
• mammogram

Acknowledgement

This work was supported by funding through the University of South Dakota Seed Grants at the School of Health Sciences. Dr. Soonhee Roh (Principal Investigator) acknowledges Dr. Robin Miskimins for her mentoring on a Seed Grant at the School of Health Sciences of the University of South Dakota. This study was supported, in part, by a San Francisco State University Faculty Grant to Dr. Yeon-Shim Lee. This work was supported, in part, by Award K12HD043451 from the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health (Krousel-Wood-PI; Catherine McKinley (formerly Burnette)-Building Interdisciplinary Research Careers in Women’s Health (BIRCWH) Scholar). Supported, in part, by U54 GM104940 from the National Institute of General Medical Sciences of the National Institutes of Health, which funds the Louisiana Clinical and Translational Science Center. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.