title: Ethnic differences in past hysterectomy for benign conditions.
abstract: BACKGROUND
  Hysterectomy for a benign condition is common, particularly in the underserved. The objective was to determine if ethnic differences could be explained by known risk factors.
  
  
  METHODS
  A phone survey was conducted at random on 15,160 women, ages 40-55, from seven US cities. Subjects were 49.9% Caucasian, 28.1% African American, 12.3% Hispanic, and 9.8% Asian American.
  
  
  RESULTS
  Ethnicity was associated with past hysterectomy (odds ratio [OR]: Caucasian = 1.0, African American = 1.66; confidence interval [CI] = 1.46-1.88, Hispanic = 1.64, CI = 1.29-2.07; Asian American = 0.44, CI = 0.34-0.56), after adjustment for age, education, fibroids, body mass index, marital status, smoking, geographic site, and country of education.
  
  
  CONCLUSIONS
  Because the highest rates occurred in the disadvantaged African American and Hispanic subgroups, and could not be explained by known risk factors, disparity in the form of overuse in these disadvantaged groups may exist.
authors.affiliation: Department of Preventive Medicine, Rush-Presbyterian-St. Luke's Medical Center, Chicago, IL, USA.
authors.forename: Lynda H
authors.initials: LH
authors.lastname: Powell
authors.forename: Peter
authors.initials: P
authors.lastname: Meyer
authors.forename: Gerson
authors.initials: G
authors.lastname: Weiss
authors.forename: Karen A
authors.initials: KA
authors.lastname: Matthews
authors.forename: Nanette
authors.initials: N
authors.lastname: Santoro
authors.forename: John F
authors.initials: JF
authors.lastname: Randolph
authors.forename: Miriam
authors.initials: M
authors.lastname: Schocken
authors.forename: Joan
authors.initials: J
authors.lastname: Skurnick
authors.forename: Marcia G
authors.initials: MG
authors.lastname: Ory
authors.forename: Kim
authors.initials: K
authors.lastname: Sutton-Tyrrell
mesh_terms: D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data; D001213:Asian / Q000706:statistics & numerical data; D003710:Demography; D005260:Female; D006300:Health Services Misuse / Q000706:statistics & numerical data*; D006630:Hispanic or Latino / Q000706:statistics & numerical data; D006801:Humans; D007044:Hysterectomy / Q000523:psychology / Q000706:statistics & numerical data*; D007407:Interviews as Topic; D008593:Menopause / Q000208:ethnology*; D008875:Middle Aged; D008913:Minority Groups / Q000706:statistics & numerical data*; D016017:Odds Ratio; D012959:Socioeconomic Factors; D014481:United States; D014591:Uterine Diseases / Q000208:ethnology* / Q000601:surgery*; D035862:Vulnerable Populations / Q000208:ethnology*; D044465:White People / Q000706:statistics & numerical data; D016387:Women's Health / Q000208:ethnology