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Continuum of Mammography Use among US Women: Classification Tree Analysis

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Objectives: To identify women with low mammography utilization. Methods: We used Classification Tree Analysis among women aged 42-80 from the 2008 Behavioral Risk Factor Surveillance System (N = 169,427) to identify sub-groups along a continuum of screening. Results: Women with neither a primary care provider nor health insurance had the lowest utilization (33.9%) and were 2.8% of the sample. Non-smoking women aged 55-80, with a primary care provider, health insurance, and income of $75,000 or more had the highest utilization (90.7%) and comprised 5% of the sample. Conclusion: As access to primary care providers and health insurance increases with the Affordable Care act, classification tree analyses may help to identify women of high priority for intervention.
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Keywords: BREAST CANCER SCREENING; CLASSIFICATION TREE ANALYSIS (CTA); MAMMOGRAPHY

Document Type: Research Article

Affiliations: 1: Brown University School of Public Health, Department of Epidemiology, Providence, RI, USA. [email protected] 2: Brown University School of Public Health, Center for Population Health and Clinical Epidemiology, Providence, RI, USA 3: Brown University School of Public Health, Department of Epidemiology, Providence, RI, USA 4: University of California at Irvine, Department of Statistics, Irvine, CA, USA 5: Brown University School of Public Health, Department of Behavioral and Social Sciences, Providence, RI, USA

Publication date: 01 July 2014

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  • The American Journal of Health Behavior seeks to improve the quality of life through multidisciplinary health efforts in fostering a better understanding of the multidimensional nature of both individuals and social systems as they relate to health behaviors.

    The Journal aims to provide a comprehensive understanding of the impact of personal attributes, personality characteristics, behavior patterns, social structure, and processes on health maintenance, health restoration, and health improvement; to disseminate knowledge of holistic, multidisciplinary approaches to designing and implementing effective health programs; and to showcase health behavior analysis skills that have been proven to affect health improvement and recovery.

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