title: Factors associated with self-reported mammography use for women with and women without a disability.
abstract: BACKGROUND
  Although their risk of breast cancer is similar to that of women without a disability, women with a disability might be less likely to obtain a mammogram within the recommended time frame. The purpose of this study was to expand our knowledge of the association between mammography use and having a disability by controlling for sociodemographic and health variables.
  
  
  METHODS
  Data from the 2008 Behavioral Risk Factor Surveillance System (BRFSS) were used to obtain prevalence of self-reported mammography use in the past 2 years among U.S. women ≥40 years of age (n=204,981) as well as women 50-74 years of age (n=122,374). Logistic regression was used to estimate associations between disability and obtaining a mammogram for each age cohort, controlling for sociodemographic factors.
  
  
  RESULTS
  Prevalence of self-reported mammography use is lower for women with a disability (72.2% for women ≥40 years of age and 78.1% for women 50-74 years of age) than women without a disability (77.8% and 82.6%, respectively). Women with a disability had lower odds of mammography use than women without a disability for both age cohorts (≥40, adjusted odds ratio [aOR] 0.92, p=0.01; 50-74 years, aOR 0.92, p=0.03).
  
  
  CONCLUSIONS
  Disparities in obtaining a mammogram at recommended screening intervals persist for women with disabilities. This demonstrates the need for continued health promotion and prevention activities directed toward women with a disability to improve their accessibility to obtaining a mammogram.
authors: Division of Human Development and Disability, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA. gmr9@cdc.gov
authors: Elizabeth
authors: E
authors: Courtney-Long
authors: Brian
authors: B
authors: Armour
authors: Brunella
authors: B
authors: Frammartino
authors: Jacqueline
authors: J
authors: Miller
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D040343:Behavioral Risk Factor Surveillance System; D006233:Persons with Disabilities / Q000706:statistics & numerical data*; D004522:Educational Status; D005260:Female; D006304:Health Status; D006801:Humans; D007182:Income; D007348:Insurance, Health; D016015:Logistic Models; D008327:Mammography / Q000706:statistics & numerical data*; D017533:Marital Status / Q000706:statistics & numerical data; D008875:Middle Aged; D015995:Prevalence; D044469:Racial Groups / Q000706:statistics & numerical data; D012944:Social Support; D014481:United States / Q000453:epidemiology; D016387:Women's Health