title: Advances in medical technology and creation of disparities: the case of Down syndrome.
abstract: OBJECTIVE
  We assessed socioeconomic differences in probabilities of prenatal diagnoses of Down syndrome and continuation of pregnancies after such diagnoses, along with the effects of these differences on disparities in live-birth prevalences of Down syndrome.
  
  
  METHODS
  Using population-based data derived from 1433 cases of Down syndrome and 3731 control births, we assessed age-adjusted effects of maternal occupation and geographic origin on prenatal diagnoses, as well as overall and live-birth odds, of Down syndrome.
  
  
  RESULTS
  Maternal occupation and geographic origin had significant effects on the probability of a prenatal diagnosis of Down syndrome and on continuation of pregnancy after such a diagnosis. Women in lower-status occupational categories had higher odds of delivering a live-born infant with Down syndrome. In comparison with women in the highest-status occupational category, the age-adjusted odds ratio for a Down syndrome live birth among women without an occupation was 2.4 (95% confidence interval [CI] = 1.7, 3.3). By contrast, there were no disparities in age-adjusted overall likelihood of Down syndrome.
  
  
  CONCLUSIONS
  Socioeconomic differences in use of prenatal testing have created disparities in the live-birth prevalence of Down syndrome. Overall Down syndrome risk does not vary according to socioeconomic status.
authors.affiliation: Unit on Perinatal and Women's Health, Institut National de la Santé et de la Recherche Médicale (INSERM), U149, Paris, France. khoshnood@vjf.inserm.fr
authors.forename: Babak
authors.initials: B
authors.lastname: Khoshnood
authors.forename: Catherine
authors.initials: C
authors.lastname: De Vigan
authors.forename: Véronique
authors.initials: V
authors.lastname: Vodovar
authors.forename: Gérard
authors.initials: G
authors.lastname: Bréart
authors.forename: François
authors.initials: F
authors.lastname: Goffinet
authors.forename: Béatrice
authors.initials: B
authors.lastname: Blondel
mesh_terms: D000025:Abortion, Eugenic; D000328:Adult; D020811:Biomedical Technology / Q000639:trends; D004314:Down Syndrome / Q000175:diagnosis* / Q000453:epidemiology; D005260:Female; D005843:Geography; D006297:Health Services Accessibility / Q000639:trends*; D006801:Humans; D007231:Infant, Newborn; D016015:Logistic Models; D008423:Maternal Age; D008875:Middle Aged; D009790:Occupations / Q000145:classification / Q000191:economics; D010297:Paris / Q000453:epidemiology; D011203:Poverty / Q000706:statistics & numerical data; D011247:Pregnancy; D011256:Pregnancy Outcome; D011296:Prenatal Diagnosis / Q000706:statistics & numerical data* / Q000639:trends; D015995:Prevalence; D012042:Registries; D018570:Risk Assessment; D012307:Risk Factors; D012959:Socioeconomic Factors