title: The impact of area deprivation on differences in health: does the choice of the geographical classification matter?
abstract: OBJECTIVE
  Many studies show the average health status in deprived areas to be poorer and the use of health care to be higher, but there is hardly any information on the impact of the geographical classification on the size of these differences. This study examines the impact of the geographical classification on the clustering of poor health per area and on the size of the differences in health by area deprivation.
  
  
  METHODS
  Data on self reported health regarding 5121 people were analysed using three classifications: neighbourhoods, postcode sectors and boroughs. Multilevel logistic models were used to determine the clustering of poor health per area and the size of the differences in health by area deprivation, without and subsequently with adjustment for individual socioeconomic status.
  
  
  METHODS
  General population aged 16 years and over of Amsterdam, The Netherlands.
  
  
  METHODS
  Self rated health, mental symptoms (General Health Questionnaire, 12-item version), physical symptoms and long term functional limitations.
  
  
  RESULTS
  The clustering of poor health is largest in neighbourhoods and smallest in postcode sectors. Health differences by area deprivation differ only slightly for the three geographical classifications, both with and without adjustment for individual socioeconomic status.
  
  
  CONCLUSIONS
  In this study, the choice of the geographical classification affects the degree of clustering of poor health by area but it has hardly any impact on the size of health differences by area deprivation.
authors.affiliation: TNO Prevention and Health, Department of Public Health, CE Leiden, The Netherlands.
authors.forename: S A
authors.initials: SA
authors.lastname: Reijneveld
authors.forename: R A
authors.initials: RA
authors.lastname: Verheij
authors.forename: D H
authors.initials: DH
authors.lastname: de Bakker
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D016000:Cluster Analysis; D005260:Female; D006304:Health Status; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009426:Netherlands; D011203:Poverty / Q000706:statistics & numerical data*; D011204:Poverty Areas; D012959:Socioeconomic Factors