title: Correlates of mammography among women with low and high socioeconomic resources.
abstract: BACKGROUND
  Although screening mammography rates have increased, even women with higher incomes and more formal education do not all obtain the exam. This study examined why a modest proportion of higher income/higher education women do not get screened and, conversely, why a small percentage of lower income/lower education women do receive screening.
  
  
  METHODS
  Data were from the 1990 National Health Interview Survey of Health Promotion and Disease Prevention. A total of 3,014 women, ages 40-75, were in the sample. Low-resource women had incomes of less than $20,000 and less than a high school diploma. High-resource women had incomes of $30,000 or more and at least some college education.
  
  
  RESULTS
  Correlates of screening status were similar for both resource groups. Recency of Papanicolaou test, recency of clinical breast exam, and regular breast self-examination were associated with higher rates of screening. Four or more persons in a household were associated with lower rates. Among low-resource women, incomes of $10,000-$19,999 were associated with higher likelihood of screening. An income of $50,000 or more was associated with screening among high-resource women.
  
  
  CONCLUSIONS
  The fact that several variables were important for both resource groups suggests that targeted interventions could have benefits across a wide population. Nonetheless, in the high-resource group, 2-year rates never exceeded 80% and repeated screening never exceeded 60%. Rates for low-resource women were over 30% lower. Medical care utilization data did not differ between the two resource groups sufficiently to account for the discrepant rates. Improving screening rates in both resource groups remains a major challenge.
authors.affiliation: Department of Community Health, Brown University, Providence, Rhode Island 02912, USA.
authors.forename: W
authors.initials: W
authors.lastname: Rakowski
authors.forename: D
authors.initials: D
authors.lastname: Pearlman
authors.forename: B K
authors.initials: BK
authors.lastname: Rimer
authors.forename: B
authors.initials: B
authors.lastname: Ehrich
mesh_terms: D000328:Adult; D000368:Aged; D001071:Appointments and Schedules; D015331:Cohort Studies; D005260:Female; D015438:Health Behavior; D006297:Health Services Accessibility; D006801:Humans; D016015:Logistic Models; D008327:Mammography / Q000706:statistics & numerical data*; D008875:Middle Aged; D016017:Odds Ratio; D065006:Papanicolaou Test; D012456:Salaries and Fringe Benefits; D012959:Socioeconomic Factors; D014481:United States; D014626:Vaginal Smears / Q000706:statistics & numerical data