title: Factors associated with the incompliance with mammogram screening among individuals with a family history of breast cancer or ovarian cancer.
abstract: OBJECTIVE
  The national guidelines recommend more intensive screening for breast cancer for women with a family history of breast or ovarian cancer. Using the data from the 2000 National Health Interview Survey (NHIS), we examined factors related to the underuse of mammogram in this population.
  
  
  METHODS
  The study subjects were 1,215 women aged 30-79 who had a family history of breast or ovarian cancer in their first-degree relatives. According to the American Cancer Society's guidelines for breast cancer screening, having no mammogram in last year was used as an outcome for this study. Socio-demographic characteristics, health-related conditions, lifestyle factors, health behaviors, menstrual/reproductive information and health care access and utilization were analyzed to assess their relations to mammogram underuse using unconditional logistic regression method.
  
  
  RESULTS
  The results showed that younger age, having no place to go when sick (OR = 2.2, 95% CI, 1.2-4.0), having no visits to a general doctor (OR = 1.7, 95% CI, 1.2-2.4) or medical specialist (OR = 2.2, 95% CI, 1.6-3.1) and having no influenza shot in last year (OR = 1.7, 95% CI, 1.2-2.3) increased the risk of underusing mammography screening among women who had a family history of breast or ovarian cancer. Women who had no home care from health professionals in the last year were less likely to underuse mammogram with an OR of 0.3 (95% CI, 0.1-0.6), compared with women who had.
  
  
  CONCLUSIONS
  Medical care-related factors may affect the use of mammography screening in women with a family history of breast or ovarian cancer.
authors.affiliation: United States Military Cancer Institute, Walter Reed Army Medical Center, 6900 Georgia Ave., NW Building 1, Suite E-111, Washington, DC 20307-5001, USA.
authors.forename: Hongyu
authors.initials: H
authors.lastname: Wu
authors.forename: Kangmin
authors.initials: K
authors.lastname: Zhu
authors.forename: Ismail
authors.initials: I
authors.lastname: Jatoi
authors.forename: Mona
authors.initials: M
authors.lastname: Shah
authors.forename: Craig D
authors.initials: CD
authors.lastname: Shriver
authors.forename: John
authors.initials: J
authors.lastname: Potter
mesh_terms: D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000453:epidemiology / Q000235:genetics / Q000517:prevention & control; D003710:Demography; D042241:Early Diagnosis; D005260:Female; D020022:Genetic Predisposition to Disease / Q000453:epidemiology* / Q000523:psychology; D015438:Health Behavior; D006306:Health Surveys; D006801:Humans; D008327:Mammography / Q000523:psychology / Q000706:statistics & numerical data*; D008403:Mass Screening / Q000379:methods / Q000706:statistics & numerical data*; D008875:Middle Aged; D010051:Ovarian Neoplasms / Q000000981:diagnostic imaging* / Q000453:epidemiology / Q000235:genetics / Q000517:prevention & control; D010349:Patient Compliance / Q000706:statistics & numerical data; D012042:Registries / Q000706:statistics & numerical data; D012307:Risk Factors; D012959:Socioeconomic Factors; D014481:United States / Q000453:epidemiology