title: [Neighbourhood deprivation and type 2 diabetes: results from the Dortmund Health Study (DHS)].
abstract: OBJECTIVE
  The association between deprivation in the residential environment and the prevalence of type 2 diabetes has been evaluated by applying two approaches to measure neighbourhood deprivation.
  
  
  METHODS
  Individual data were extracted from the Dortmund Health Study (n=1 312) and combined with administrative data on 62 neighbourhoods in the city of Dortmund. Deprivation indices were constructed by applying principal component analysis with a set of 8 demographic and socio-economic context variables on the low city level. 2-level cross-sectional logistic regression analyses were conducted, adjusted for age, sex, social class and employment status.
  
  
  RESULTS
  The study population had a type 2 diabetes prevalence of 7.2%. The principal component analysis provided a 2-factor solution of which one factor was given in the multivariable analysis. Individuals, residing in neighbourhoods with a very high level of unemployment rate or socio-economic deprivation, showed a higher chance to have type 2 diabetes [OR: 4.44 (95% CI: 1.29-15.33) or, respectively, OR: 2.79 (95% CI: 1.10-7.07)], independent of individual characteristics.
  
  
  CONCLUSIONS
  Beyond individual characteristics, the residential environment contributes to the chance of type 2 diabetes. The unemployment rate operated as a strong predictor of the chance of type 2 diabetes.
authors.affiliation: Institut für Epidemiologie und Sozialmedizin, Westfälische Wilhelms-Universität Münster.
authors.forename: G
authors.initials: G
authors.lastname: Müller
authors.affiliation: Institut für Epidemiologie und Sozialmedizin, Westfälische Wilhelms-Universität Münster.
authors.forename: K
authors.initials: K
authors.lastname: Berger
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D003467:Cultural Deprivation; D003924:Diabetes Mellitus, Type 2 / Q000453:epidemiology*; D005260:Female; D005858:Germany / Q000453:epidemiology; D054624:Health Status Disparities; D006801:Humans; D008297:Male; D008875:Middle Aged; D011203:Poverty / Q000706:statistics & numerical data*; D015995:Prevalence; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D012307:Risk Factors; D017678:Sex Distribution; D012923:Social Class; D012959:Socioeconomic Factors; D014478:Unemployment / Q000706:statistics & numerical data*