Exploring Women's Perceptions of Their Risk of Developing Breast Cancer

Abstract

The study aimed to 1) describe perceived breast cancer risk, 2) compare subjective and objective risk estimates, and 3) examine the influence of heuristic reasoning in women's arguments regarding their breast cancer risk. The survey uses three probability scales (Verbal, Comparative, Numerical) and the Gail model to measure perceived and objective risk, respectively. Aim 3 is addressed with Argument and Heuristic reasoning analysis, a method based on applied logic and used to identify heuristics in narrative data. We recruited a multicultural sample of 184 English-speaking women (46112 years old) from community settings to complete the survey. Fifty three of those women agreed to provide an in-depth interview. Most (49%) had college education. Participants held an optimistic bias regarding their breast cancer risk. They believed their risk was lower than average, they rated the risk for friends/peers higher than their own, and underestimated their objective risk. Responses on the Verbal and Comparative scales were consistent, whereas Numerical risk ratings were influenced by demographic characteristics. Older women and those with one affected first-degree relative did not perceive higher risk. Experiences with affected family members and friends, and breast symptoms influence perceived risk though various mechanisms, involving knowledge of risk factors and worry.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2004
Accession Number
ADA427959

Entities

People

  • Maria C. Katapodi

Organizations

  • University of California, San Francisco

Tags

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Behavioral Medicine
  • California
  • Cognition
  • Data Analysis
  • Data Science
  • Health Care
  • Health Services
  • Information Processing
  • Information Science
  • Medical Personnel
  • Ovarian Cancer
  • Psychology
  • Regression Analysis
  • Statistical Analysis
  • Surveys
  • Thinking

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